Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage VLLMUploader
Starting job with name chaiml-muster-v1-q235b-25291-v1-uploader
Waiting for job on chaiml-muster-v1-q235b-25291-v1-uploader to finish
chaiml-muster-v1-q235b-25291-v1-uploader: Using quantization_mode: w4a16
chaiml-muster-v1-q235b-25291-v1-uploader: Checking if ChaiML/muster-v1-q235b-lr1e4ep2r64g4-W4A16 already exists in ChaiML
chaiml-muster-v1-q235b-25291-v1-uploader: Downloading snapshot of ChaiML/muster-v1-q235b-lr1e4ep2r64g4...
chaiml-muster-v1-q235b-25291-v1-uploader: 
Fetching 107 files:   0%|          | 0/107 [00:00<?, ?it/s]
Fetching 107 files:   1%|          | 1/107 [00:00<00:28,  3.72it/s]
Fetching 107 files:   4%|▎         | 4/107 [00:00<00:08, 12.30it/s]
Fetching 107 files:   7%|▋         | 8/107 [00:14<03:36,  2.19s/it]
Fetching 107 files:   8%|▊         | 9/107 [00:16<03:34,  2.19s/it]
Fetching 107 files:  15%|█▍        | 16/107 [00:26<02:32,  1.68s/it]
Fetching 107 files:  16%|█▌        | 17/107 [00:29<02:41,  1.79s/it]
Fetching 107 files:  18%|█▊        | 19/107 [00:29<02:07,  1.45s/it]
Fetching 107 files:  19%|█▊        | 20/107 [00:30<01:50,  1.26s/it]
Fetching 107 files:  20%|█▉        | 21/107 [00:30<01:34,  1.09s/it]
Fetching 107 files:  21%|██        | 22/107 [00:31<01:28,  1.04s/it]
Fetching 107 files:  22%|██▏       | 24/107 [00:39<03:01,  2.18s/it]
Fetching 107 files:  23%|██▎       | 25/107 [00:40<02:43,  1.99s/it]
Fetching 107 files:  24%|██▍       | 26/107 [00:42<02:32,  1.89s/it]
Fetching 107 files:  25%|██▌       | 27/107 [00:45<02:55,  2.20s/it]
Fetching 107 files:  29%|██▉       | 31/107 [00:46<01:14,  1.02it/s]
Fetching 107 files:  30%|██▉       | 32/107 [00:53<02:33,  2.04s/it]
Fetching 107 files:  31%|███       | 33/107 [00:54<02:20,  1.90s/it]
Fetching 107 files:  32%|███▏      | 34/107 [00:57<02:28,  2.04s/it]
Fetching 107 files:  33%|███▎      | 35/107 [00:57<01:56,  1.62s/it]
Fetching 107 files:  34%|███▎      | 36/107 [00:59<01:57,  1.66s/it]
Fetching 107 files:  35%|███▍      | 37/107 [00:59<01:39,  1.43s/it]
Fetching 107 files:  36%|███▋      | 39/107 [01:00<00:59,  1.14it/s]
Fetching 107 files:  37%|███▋      | 40/107 [01:06<02:31,  2.26s/it]
Fetching 107 files:  38%|███▊      | 41/107 [01:07<01:59,  1.81s/it]
Fetching 107 files:  39%|███▉      | 42/107 [01:11<02:34,  2.38s/it]
Fetching 107 files:  40%|████      | 43/107 [01:14<02:49,  2.65s/it]
Fetching 107 files:  44%|████▍     | 47/107 [01:15<01:06,  1.12s/it]
Fetching 107 files:  45%|████▍     | 48/107 [01:20<01:52,  1.91s/it]
Fetching 107 files:  46%|████▌     | 49/107 [01:21<01:32,  1.59s/it]
Fetching 107 files:  47%|████▋     | 50/107 [01:23<01:36,  1.70s/it]
Fetching 107 files:  48%|████▊     | 51/107 [01:25<01:42,  1.82s/it]
Fetching 107 files:  49%|████▊     | 52/107 [01:28<01:57,  2.13s/it]
Fetching 107 files:  50%|████▉     | 53/107 [01:29<01:37,  1.81s/it]
Fetching 107 files:  50%|█████     | 54/107 [01:29<01:14,  1.41s/it]
Fetching 107 files:  51%|█████▏    | 55/107 [01:30<01:01,  1.18s/it]
Fetching 107 files:  52%|█████▏    | 56/107 [01:34<01:49,  2.15s/it]
Fetching 107 files:  53%|█████▎    | 57/107 [01:35<01:19,  1.58s/it]
Fetching 107 files:  54%|█████▍    | 58/107 [01:36<01:11,  1.45s/it]
Fetching 107 files:  55%|█████▌    | 59/107 [01:39<01:33,  1.96s/it]
Fetching 107 files:  56%|█████▌    | 60/107 [01:42<01:44,  2.23s/it]
Fetching 107 files:  57%|█████▋    | 61/107 [01:44<01:45,  2.29s/it]
Fetching 107 files:  59%|█████▉    | 63/107 [01:44<00:56,  1.29s/it]
Fetching 107 files:  60%|█████▉    | 64/107 [01:49<01:31,  2.12s/it]
Fetching 107 files:  61%|██████    | 65/107 [01:49<01:09,  1.65s/it]
Fetching 107 files:  62%|██████▏   | 66/107 [01:50<00:59,  1.45s/it]
Fetching 107 files:  63%|██████▎   | 67/107 [01:53<01:08,  1.72s/it]
Fetching 107 files:  64%|██████▎   | 68/107 [01:56<01:27,  2.25s/it]
Fetching 107 files:  64%|██████▍   | 69/107 [01:58<01:17,  2.03s/it]
Fetching 107 files:  65%|██████▌   | 70/107 [01:58<00:54,  1.48s/it]
Fetching 107 files:  66%|██████▋   | 71/107 [01:59<00:43,  1.22s/it]
Fetching 107 files:  67%|██████▋   | 72/107 [02:04<01:30,  2.59s/it]
Fetching 107 files:  70%|███████   | 75/107 [02:09<01:03,  1.97s/it]
Fetching 107 files:  71%|███████   | 76/107 [02:13<01:16,  2.48s/it]
Fetching 107 files:  72%|███████▏  | 77/107 [02:14<00:59,  1.99s/it]
Fetching 107 files:  73%|███████▎  | 78/107 [02:14<00:48,  1.67s/it]
Fetching 107 files:  75%|███████▍  | 80/107 [02:16<00:38,  1.43s/it]
Fetching 107 files:  76%|███████▌  | 81/107 [02:18<00:36,  1.40s/it]
Fetching 107 files:  78%|███████▊  | 83/107 [02:22<00:38,  1.61s/it]
Fetching 107 files:  79%|███████▊  | 84/107 [02:27<00:57,  2.48s/it]
Fetching 107 files:  79%|███████▉  | 85/107 [02:28<00:47,  2.15s/it]
Fetching 107 files:  80%|████████  | 86/107 [02:29<00:38,  1.82s/it]
Fetching 107 files:  82%|████████▏ | 88/107 [02:30<00:25,  1.33s/it]
Fetching 107 files:  83%|████████▎ | 89/107 [02:33<00:27,  1.53s/it]
Fetching 107 files:  84%|████████▍ | 90/107 [02:33<00:21,  1.25s/it]
Fetching 107 files:  85%|████████▌ | 91/107 [02:36<00:28,  1.81s/it]
Fetching 107 files:  86%|████████▌ | 92/107 [02:41<00:37,  2.52s/it]
Fetching 107 files:  87%|████████▋ | 93/107 [02:43<00:33,  2.37s/it]
Fetching 107 files:  88%|████████▊ | 94/107 [02:44<00:26,  2.04s/it]
Fetching 107 files:  90%|████████▉ | 96/107 [02:45<00:14,  1.28s/it]
Fetching 107 files:  91%|█████████ | 97/107 [02:47<00:14,  1.46s/it]
Fetching 107 files:  92%|█████████▏| 98/107 [02:47<00:10,  1.14s/it]
Fetching 107 files:  93%|█████████▎| 99/107 [02:49<00:11,  1.40s/it]
Fetching 107 files:  93%|█████████▎| 100/107 [02:50<00:08,  1.22s/it]
Fetching 107 files:  94%|█████████▍| 101/107 [02:51<00:07,  1.22s/it]
Fetching 107 files: 100%|██████████| 107/107 [02:51<00:00,  1.60s/it]
chaiml-muster-v1-q235b-25291-v1-uploader: Downloaded in 171.670s
chaiml-muster-v1-q235b-25291-v1-uploader: Applying quantization...
chaiml-muster-v1-q235b-25291-v1-uploader: 2026-02-03 17:36:35 WARNING modeling_utils.py L4670: `torch_dtype` is deprecated! Use `dtype` instead!
chaiml-muster-v1-q235b-25291-v1-uploader: 
Loading checkpoint shards:   0%|          | 0/95 [00:00<?, ?it/s]
Loading checkpoint shards:   1%|          | 1/95 [00:00<00:55,  1.69it/s]
Loading checkpoint shards:   2%|▏         | 2/95 [00:01<00:46,  1.99it/s]
Loading checkpoint shards:   3%|▎         | 3/95 [00:01<00:37,  2.47it/s]
Loading checkpoint shards:   4%|▍         | 4/95 [00:01<00:32,  2.78it/s]
Loading checkpoint shards:   5%|▌         | 5/95 [00:01<00:28,  3.12it/s]
Loading checkpoint shards:   6%|▋         | 6/95 [00:02<00:28,  3.15it/s]
Loading checkpoint shards:   7%|▋         | 7/95 [00:02<00:26,  3.35it/s]
Loading checkpoint shards:   8%|▊         | 8/95 [00:02<00:24,  3.49it/s]
Loading checkpoint shards:   9%|▉         | 9/95 [00:02<00:23,  3.69it/s]
Loading checkpoint shards:  11%|█         | 10/95 [00:03<00:22,  3.80it/s]
Loading checkpoint shards:  12%|█▏        | 11/95 [00:03<00:22,  3.81it/s]
Loading checkpoint shards:  13%|█▎        | 12/95 [00:03<00:21,  3.82it/s]
Loading checkpoint shards:  14%|█▎        | 13/95 [00:03<00:21,  3.82it/s]
Loading checkpoint shards:  15%|█▍        | 14/95 [00:04<00:21,  3.78it/s]
Loading checkpoint shards:  16%|█▌        | 15/95 [00:04<00:21,  3.77it/s]
Loading checkpoint shards:  17%|█▋        | 16/95 [00:04<00:22,  3.47it/s]
Loading checkpoint shards:  18%|█▊        | 17/95 [00:05<00:23,  3.27it/s]
Loading checkpoint shards:  19%|█▉        | 18/95 [00:05<00:22,  3.37it/s]
Loading checkpoint shards:  20%|██        | 19/95 [00:05<00:23,  3.18it/s]
Loading checkpoint shards:  21%|██        | 20/95 [00:06<00:22,  3.34it/s]
Loading checkpoint shards:  22%|██▏       | 21/95 [00:06<00:21,  3.45it/s]
Loading checkpoint shards:  23%|██▎       | 22/95 [00:06<00:22,  3.24it/s]
Loading checkpoint shards:  24%|██▍       | 23/95 [00:07<00:22,  3.16it/s]
Loading checkpoint shards:  25%|██▌       | 24/95 [00:07<00:23,  3.07it/s]
Loading checkpoint shards:  26%|██▋       | 25/95 [00:07<00:21,  3.21it/s]
Loading checkpoint shards:  27%|██▋       | 26/95 [00:08<00:22,  3.11it/s]
Loading checkpoint shards:  28%|██▊       | 27/95 [00:08<00:22,  3.08it/s]
Loading checkpoint shards:  29%|██▉       | 28/95 [00:08<00:20,  3.23it/s]
Loading checkpoint shards:  31%|███       | 29/95 [00:08<00:19,  3.40it/s]
Loading checkpoint shards:  32%|███▏      | 30/95 [00:09<00:18,  3.51it/s]
Loading checkpoint shards:  33%|███▎      | 31/95 [00:09<00:17,  3.62it/s]
Loading checkpoint shards:  34%|███▎      | 32/95 [00:09<00:16,  3.72it/s]
Loading checkpoint shards:  35%|███▍      | 33/95 [00:09<00:16,  3.72it/s]
Loading checkpoint shards:  36%|███▌      | 34/95 [00:10<00:17,  3.45it/s]
Loading checkpoint shards:  37%|███▋      | 35/95 [00:10<00:18,  3.28it/s]
Loading checkpoint shards:  38%|███▊      | 36/95 [00:10<00:18,  3.17it/s]
Loading checkpoint shards:  39%|███▉      | 37/95 [00:11<00:17,  3.38it/s]
Loading checkpoint shards:  40%|████      | 38/95 [00:11<00:15,  3.59it/s]
Loading checkpoint shards:  41%|████      | 39/95 [00:11<00:15,  3.63it/s]
Loading checkpoint shards:  42%|████▏     | 40/95 [00:12<00:16,  3.42it/s]
Loading checkpoint shards:  43%|████▎     | 41/95 [00:12<00:14,  3.61it/s]
Loading checkpoint shards:  44%|████▍     | 42/95 [00:12<00:14,  3.64it/s]
Loading checkpoint shards:  45%|████▌     | 43/95 [00:12<00:15,  3.45it/s]
Loading checkpoint shards:  46%|████▋     | 44/95 [00:13<00:15,  3.32it/s]
Loading checkpoint shards:  47%|████▋     | 45/95 [00:13<00:15,  3.25it/s]
Loading checkpoint shards:  48%|████▊     | 46/95 [00:13<00:14,  3.43it/s]
Loading checkpoint shards:  49%|████▉     | 47/95 [00:14<00:13,  3.51it/s]
Loading checkpoint shards:  51%|█████     | 48/95 [00:14<00:14,  3.29it/s]
Loading checkpoint shards:  52%|█████▏    | 49/95 [00:14<00:14,  3.23it/s]
Loading checkpoint shards:  53%|█████▎    | 50/95 [00:14<00:13,  3.36it/s]
Loading checkpoint shards:  54%|█████▎    | 51/95 [00:15<00:13,  3.32it/s]
Loading checkpoint shards:  55%|█████▍    | 52/95 [00:15<00:13,  3.24it/s]
Loading checkpoint shards:  56%|█████▌    | 53/95 [00:15<00:13,  3.22it/s]
Loading checkpoint shards:  57%|█████▋    | 54/95 [00:16<00:12,  3.17it/s]
Loading checkpoint shards:  58%|█████▊    | 55/95 [00:16<00:11,  3.37it/s]
Loading checkpoint shards:  59%|█████▉    | 56/95 [00:16<00:11,  3.53it/s]
Loading checkpoint shards:  60%|██████    | 57/95 [00:17<00:10,  3.58it/s]
Loading checkpoint shards:  61%|██████    | 58/95 [00:17<00:10,  3.41it/s]
Loading checkpoint shards:  62%|██████▏   | 59/95 [00:17<00:10,  3.56it/s]
Loading checkpoint shards:  63%|██████▎   | 60/95 [00:17<00:09,  3.69it/s]
Loading checkpoint shards:  64%|██████▍   | 61/95 [00:18<00:09,  3.53it/s]
Loading checkpoint shards:  65%|██████▌   | 62/95 [00:18<00:09,  3.65it/s]
Loading checkpoint shards:  66%|██████▋   | 63/95 [00:18<00:08,  3.78it/s]
Loading checkpoint shards:  67%|██████▋   | 64/95 [00:18<00:07,  4.18it/s]
Loading checkpoint shards:  69%|██████▉   | 66/95 [00:19<00:05,  5.61it/s]
Loading checkpoint shards:  72%|███████▏  | 68/95 [00:19<00:03,  7.76it/s]
Loading checkpoint shards:  77%|███████▋  | 73/95 [00:19<00:01, 15.30it/s]
Loading checkpoint shards:  82%|████████▏ | 78/95 [00:19<00:00, 22.13it/s]
Loading checkpoint shards:  87%|████████▋ | 83/95 [00:19<00:00, 28.16it/s]
Loading checkpoint shards:  93%|█████████▎| 88/95 [00:19<00:00, 32.28it/s]
Loading checkpoint shards:  98%|█████████▊| 93/95 [00:19<00:00, 36.36it/s]
Loading checkpoint shards: 100%|██████████| 95/95 [00:19<00:00,  4.82it/s]
chaiml-muster-v1-q235b-25291-v1-uploader: 2026-02-03 17:37:23 INFO base.py L366: using torch.bfloat16 for quantization tuning
chaiml-muster-v1-q235b-25291-v1-uploader: 2026-02-03 17:37:27 INFO base.py L1145: start to compute imatrix
chaiml-muster-v1-q235b-25291-v1-uploader: 
Map:   0%|          | 0/10000 [00:00<?, ? examples/s]
Map:  10%|█         | 1000/10000 [00:00<00:04, 1962.00 examples/s]
Map:  20%|██        | 2000/10000 [00:01<00:04, 1711.81 examples/s]
Map:  30%|███       | 3000/10000 [00:04<00:12, 562.60 examples/s] 
Map:  40%|████      | 4000/10000 [00:04<00:07, 794.65 examples/s]
Map:  50%|█████     | 5000/10000 [00:05<00:04, 1005.43 examples/s]
Map:  60%|██████    | 6000/10000 [00:05<00:03, 1221.27 examples/s]
Map:  70%|███████   | 7000/10000 [00:06<00:02, 1092.55 examples/s]
Map:  80%|████████  | 8000/10000 [00:07<00:01, 1201.63 examples/s]
Map:  90%|█████████ | 9000/10000 [00:08<00:00, 1297.46 examples/s]
Map: 100%|██████████| 10000/10000 [00:09<00:00, 1251.73 examples/s]
Map: 100%|██████████| 10000/10000 [00:09<00:00, 1100.47 examples/s]
chaiml-muster-v1-q235b-25291-v1-uploader: 
Filter:   0%|          | 0/10000 [00:00<?, ? examples/s]
Filter:  10%|█         | 1000/10000 [00:00<00:03, 2889.36 examples/s]
Filter:  20%|██        | 2000/10000 [00:00<00:02, 2968.13 examples/s]
Filter:  30%|███       | 3000/10000 [00:01<00:02, 2851.53 examples/s]
Filter:  40%|████      | 4000/10000 [00:01<00:02, 2856.11 examples/s]
Filter:  50%|█████     | 5000/10000 [00:01<00:01, 2855.64 examples/s]
Filter:  60%|██████    | 6000/10000 [00:02<00:01, 2871.04 examples/s]
Filter:  70%|███████   | 7000/10000 [00:02<00:01, 2875.03 examples/s]
Filter:  80%|████████  | 8000/10000 [00:02<00:00, 2886.29 examples/s]
Filter:  90%|█████████ | 9000/10000 [00:03<00:00, 2905.15 examples/s]
Filter: 100%|██████████| 10000/10000 [00:03<00:00, 2955.24 examples/s]
Filter: 100%|██████████| 10000/10000 [00:03<00:00, 2903.50 examples/s]
chaiml-muster-v1-q235b-25291-v1-uploader: 
Casting the dataset:   0%|          | 0/1216 [00:00<?, ? examples/s]
Casting the dataset:  82%|████████▏ | 1000/1216 [00:02<00:00, 443.27 examples/s]
Casting the dataset: 100%|██████████| 1216/1216 [00:02<00:00, 446.06 examples/s]
Casting the dataset: 100%|██████████| 1216/1216 [00:02<00:00, 445.01 examples/s]
chaiml-muster-v1-q235b-25291-v1-uploader: 
Map:   0%|          | 0/10000 [00:00<?, ? examples/s]
Map:  10%|█         | 1000/10000 [00:00<00:06, 1475.80 examples/s]
Map:  20%|██        | 2000/10000 [00:01<00:05, 1574.61 examples/s]
Map:  30%|███       | 3000/10000 [00:04<00:12, 569.14 examples/s] 
Map:  40%|████      | 4000/10000 [00:04<00:07, 800.98 examples/s]
Map:  50%|█████     | 5000/10000 [00:05<00:04, 1014.09 examples/s]
Map:  60%|██████    | 6000/10000 [00:05<00:03, 1229.74 examples/s]
Map:  70%|███████   | 7000/10000 [00:06<00:02, 1139.09 examples/s]
Map:  80%|████████  | 8000/10000 [00:07<00:01, 1226.37 examples/s]
Map:  90%|█████████ | 9000/10000 [00:08<00:00, 1318.99 examples/s]
Map: 100%|██████████| 10000/10000 [00:08<00:00, 1284.67 examples/s]
Map: 100%|██████████| 10000/10000 [00:09<00:00, 1110.96 examples/s]
chaiml-muster-v1-q235b-25291-v1-uploader: 
Filter:   0%|          | 0/10000 [00:00<?, ? examples/s]
Filter:  10%|█         | 1000/10000 [00:00<00:03, 2670.04 examples/s]
Filter:  20%|██        | 2000/10000 [00:00<00:02, 2842.94 examples/s]
Filter:  30%|███       | 3000/10000 [00:01<00:02, 2814.04 examples/s]
Filter:  40%|████      | 4000/10000 [00:01<00:02, 2841.47 examples/s]
Filter:  50%|█████     | 5000/10000 [00:01<00:01, 2806.85 examples/s]
Filter:  60%|██████    | 6000/10000 [00:02<00:01, 2826.54 examples/s]
Filter:  70%|███████   | 7000/10000 [00:02<00:01, 2821.25 examples/s]
Filter:  80%|████████  | 8000/10000 [00:02<00:00, 2823.44 examples/s]
Filter:  90%|█████████ | 9000/10000 [00:03<00:00, 2842.78 examples/s]
Filter: 100%|██████████| 10000/10000 [00:03<00:00, 2881.97 examples/s]
Filter: 100%|██████████| 10000/10000 [00:03<00:00, 2838.49 examples/s]
chaiml-muster-v1-q235b-25291-v1-uploader: 
Casting the dataset:   0%|          | 0/1216 [00:00<?, ? examples/s]
Casting the dataset:  82%|████████▏ | 1000/1216 [00:02<00:00, 439.61 examples/s]
Casting the dataset: 100%|██████████| 1216/1216 [00:02<00:00, 441.33 examples/s]
Casting the dataset: 100%|██████████| 1216/1216 [00:02<00:00, 440.55 examples/s]
chaiml-muster-v1-q235b-25291-v1-uploader: 
  0%|          | 0/94 [00:00<?, ?it/s]
Quantizing model.layers.0:   0%|          | 0/94 [00:00<?, ?it/s]/usr/local/lib/python3.12/dist-packages/torch/backends/cuda/__init__.py:131: UserWarning: Please use the new API settings to control TF32 behavior, such as torch.backends.cudnn.conv.fp32_precision = 'tf32' or torch.backends.cuda.matmul.fp32_precision = 'ieee'. Old settings, e.g, torch.backends.cuda.matmul.allow_tf32 = True, torch.backends.cudnn.allow_tf32 = True, allowTF32CuDNN() and allowTF32CuBLAS() will be deprecated after Pytorch 2.9. Please see https://pytorch.org/docs/main/notes/cuda.html#tensorfloat-32-tf32-on-ampere-and-later-devices (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:80.)
chaiml-muster-v1-q235b-25291-v1-uploader:   return torch._C._get_cublas_allow_tf32()
chaiml-muster-v1-q235b-25291-v1-uploader: W0203 17:38:33.122000 7 torch/_dynamo/convert_frame.py:1358] [6/8] torch._dynamo hit config.recompile_limit (8)
chaiml-muster-v1-q235b-25291-v1-uploader: W0203 17:38:33.122000 7 torch/_dynamo/convert_frame.py:1358] [6/8]    function: 'forward' (/usr/local/lib/python3.12/dist-packages/transformers/models/qwen3_moe/modeling_qwen3_moe.py:208)
chaiml-muster-v1-q235b-25291-v1-uploader: W0203 17:38:33.122000 7 torch/_dynamo/convert_frame.py:1358] [6/8]    last reason: 6/7: self._modules['up_proj'].imatrix_cnt == 1347             # module.imatrix_cnt += input.shape[0]  # auto_round/compressors/base.py:1179 in get_imatrix_hook (HINT: torch.compile considers integer attributes of the nn.Module to be static. If you are observing recompilation, you might want to make this integer dynamic using torch._dynamo.config.allow_unspec_int_on_nn_module = True, or convert this integer into a tensor.)
chaiml-muster-v1-q235b-25291-v1-uploader: W0203 17:38:33.122000 7 torch/_dynamo/convert_frame.py:1358] [6/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
chaiml-muster-v1-q235b-25291-v1-uploader: W0203 17:38:33.122000 7 torch/_dynamo/convert_frame.py:1358] [6/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html
chaiml-muster-v1-q235b-25291-v1-uploader: W0203 17:38:36.135000 7 torch/_dynamo/convert_frame.py:1358] [3/8] torch._dynamo hit config.recompile_limit (8)
chaiml-muster-v1-q235b-25291-v1-uploader: W0203 17:38:36.135000 7 torch/_dynamo/convert_frame.py:1358] [3/8]    function: 'forward' (/usr/local/lib/python3.12/dist-packages/transformers/models/qwen3_moe/modeling_qwen3_moe.py:305)
chaiml-muster-v1-q235b-25291-v1-uploader: W0203 17:38:36.135000 7 torch/_dynamo/convert_frame.py:1358] [3/8]    last reason: 3/7: self._modules['self_attn']._modules['k_proj'].imatrix_cnt == 56  # module.imatrix_cnt += input.shape[0]  # auto_round/compressors/base.py:1179 in get_imatrix_hook (HINT: torch.compile considers integer attributes of the nn.Module to be static. If you are observing recompilation, you might want to make this integer dynamic using torch._dynamo.config.allow_unspec_int_on_nn_module = True, or convert this integer into a tensor.)
chaiml-muster-v1-q235b-25291-v1-uploader: W0203 17:38:36.135000 7 torch/_dynamo/convert_frame.py:1358] [3/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
chaiml-muster-v1-q235b-25291-v1-uploader: W0203 17:38:36.135000 7 torch/_dynamo/convert_frame.py:1358] [3/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html
chaiml-muster-v1-q235b-25291-v1-uploader: 2026-02-03 17:38:54 WARNING gguf.py L297: please use more data via setting `nsamples` to improve accuracy as calibration activations contain 0
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
Unable to record family friendly update due to error: Invalid JSON input: Expecting value: line 1 column 1 (char 0)
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
chaiml-muster-v1-q235b-25291-v1-uploader: 
Quantizing model.layers.0:   1%|          | 1/94 [01:41<2:37:32, 101.64s/it]
Quantizing model.layers.1:   1%|          | 1/94 [01:41<2:37:32, 101.64s/it]
Quantizing model.layers.1:   2%|▏         | 2/94 [02:34<1:51:30, 72.72s/it] 
Quantizing model.layers.2:   2%|▏         | 2/94 [02:34<1:51:30, 72.72s/it]
Quantizing model.layers.2:   3%|▎         | 3/94 [03:27<1:36:45, 63.79s/it]
Quantizing model.layers.3:   3%|▎         | 3/94 [03:27<1:36:45, 63.79s/it]
Quantizing model.layers.3:   4%|▍         | 4/94 [04:19<1:28:52, 59.25s/it]
Quantizing model.layers.4:   4%|▍         | 4/94 [04:19<1:28:52, 59.25s/it]
Quantizing model.layers.4:   5%|▌         | 5/94 [05:12<1:24:44, 57.13s/it]
Quantizing model.layers.5:   5%|▌         | 5/94 [05:12<1:24:44, 57.13s/it]
Quantizing model.layers.5:   6%|▋         | 6/94 [06:04<1:20:56, 55.19s/it]
Quantizing model.layers.6:   6%|▋         | 6/94 [06:04<1:20:56, 55.19s/it]
Quantizing model.layers.6:   7%|▋         | 7/94 [06:58<1:19:30, 54.83s/it]
Quantizing model.layers.7:   7%|▋         | 7/94 [06:58<1:19:30, 54.83s/it]
Quantizing model.layers.7:   9%|▊         | 8/94 [07:51<1:17:34, 54.12s/it]
Quantizing model.layers.8:   9%|▊         | 8/94 [07:51<1:17:34, 54.12s/it]
Quantizing model.layers.8:  10%|▉         | 9/94 [08:42<1:15:38, 53.40s/it]
Quantizing model.layers.9:  10%|▉         | 9/94 [08:42<1:15:38, 53.40s/it]
Quantizing model.layers.9:  11%|█         | 10/94 [09:34<1:14:01, 52.87s/it]
Quantizing model.layers.10:  11%|█         | 10/94 [09:34<1:14:01, 52.87s/it]
Quantizing model.layers.10:  12%|█▏        | 11/94 [10:28<1:13:31, 53.15s/it]
Quantizing model.layers.11:  12%|█▏        | 11/94 [10:28<1:13:31, 53.15s/it]
Quantizing model.layers.11:  13%|█▎        | 12/94 [11:22<1:12:52, 53.32s/it]
Quantizing model.layers.12:  13%|█▎        | 12/94 [11:22<1:12:52, 53.32s/it]
Quantizing model.layers.12:  14%|█▍        | 13/94 [12:15<1:12:08, 53.44s/it]
Quantizing model.layers.13:  14%|█▍        | 13/94 [12:15<1:12:08, 53.44s/it]
Quantizing model.layers.13:  15%|█▍        | 14/94 [13:09<1:11:13, 53.42s/it]
Quantizing model.layers.14:  15%|█▍        | 14/94 [13:09<1:11:13, 53.42s/it]
Quantizing model.layers.14:  16%|█▌        | 15/94 [14:03<1:10:38, 53.66s/it]
Quantizing model.layers.15:  16%|█▌        | 15/94 [14:03<1:10:38, 53.66s/it]
Quantizing model.layers.15:  17%|█▋        | 16/94 [14:55<1:09:12, 53.23s/it]
Quantizing model.layers.16:  17%|█▋        | 16/94 [14:55<1:09:12, 53.23s/it]
Quantizing model.layers.16:  18%|█▊        | 17/94 [15:48<1:08:05, 53.06s/it]
Quantizing model.layers.17:  18%|█▊        | 17/94 [15:48<1:08:05, 53.06s/it]
Quantizing model.layers.17:  19%|█▉        | 18/94 [16:42<1:07:29, 53.28s/it]
Quantizing model.layers.18:  19%|█▉        | 18/94 [16:42<1:07:29, 53.28s/it]
Quantizing model.layers.18:  20%|██        | 19/94 [17:34<1:06:26, 53.15s/it]
Quantizing model.layers.19:  20%|██        | 19/94 [17:34<1:06:26, 53.15s/it]
Quantizing model.layers.19:  21%|██▏       | 20/94 [18:28<1:05:52, 53.42s/it]
Quantizing model.layers.20:  21%|██▏       | 20/94 [18:28<1:05:52, 53.42s/it]
Quantizing model.layers.20:  22%|██▏       | 21/94 [19:22<1:05:04, 53.49s/it]
Quantizing model.layers.21:  22%|██▏       | 21/94 [19:22<1:05:04, 53.49s/it]
Quantizing model.layers.21:  23%|██▎       | 22/94 [20:15<1:03:48, 53.18s/it]
Quantizing model.layers.22:  23%|██▎       | 22/94 [20:15<1:03:48, 53.18s/it]
Quantizing model.layers.22:  24%|██▍       | 23/94 [21:07<1:02:37, 52.92s/it]
Quantizing model.layers.23:  24%|██▍       | 23/94 [21:07<1:02:37, 52.92s/it]
Quantizing model.layers.23:  26%|██▌       | 24/94 [22:00<1:01:40, 52.86s/it]
Quantizing model.layers.24:  26%|██▌       | 24/94 [22:00<1:01:40, 52.86s/it]
Quantizing model.layers.24:  27%|██▋       | 25/94 [22:53<1:01:07, 53.15s/it]
Quantizing model.layers.25:  27%|██▋       | 25/94 [22:53<1:01:07, 53.15s/it]
Quantizing model.layers.25:  28%|██▊       | 26/94 [23:46<1:00:01, 52.96s/it]
Quantizing model.layers.26:  28%|██▊       | 26/94 [23:46<1:00:01, 52.96s/it]
Quantizing model.layers.26:  29%|██▊       | 27/94 [24:39<59:05, 52.91s/it]  
Quantizing model.layers.27:  29%|██▊       | 27/94 [24:39<59:05, 52.91s/it]
Quantizing model.layers.27:  30%|██▉       | 28/94 [25:32<58:25, 53.11s/it]
Quantizing model.layers.28:  30%|██▉       | 28/94 [25:32<58:25, 53.11s/it]
Quantizing model.layers.28:  31%|███       | 29/94 [26:26<57:40, 53.24s/it]
Quantizing model.layers.29:  31%|███       | 29/94 [26:26<57:40, 53.24s/it]
Quantizing model.layers.29:  32%|███▏      | 30/94 [27:20<56:56, 53.39s/it]
Quantizing model.layers.30:  32%|███▏      | 30/94 [27:20<56:56, 53.39s/it]
Quantizing model.layers.30:  33%|███▎      | 31/94 [28:13<56:09, 53.48s/it]
Quantizing model.layers.31:  33%|███▎      | 31/94 [28:13<56:09, 53.48s/it]
Quantizing model.layers.31:  34%|███▍      | 32/94 [29:07<55:26, 53.65s/it]
Quantizing model.layers.32:  34%|███▍      | 32/94 [29:07<55:26, 53.65s/it]
Quantizing model.layers.32:  35%|███▌      | 33/94 [30:01<54:30, 53.61s/it]
Quantizing model.layers.33:  35%|███▌      | 33/94 [30:01<54:30, 53.61s/it]
Quantizing model.layers.33:  36%|███▌      | 34/94 [30:53<53:15, 53.26s/it]
Quantizing model.layers.34:  36%|███▌      | 34/94 [30:53<53:15, 53.26s/it]
Quantizing model.layers.34:  37%|███▋      | 35/94 [31:46<52:05, 52.97s/it]
Quantizing model.layers.35:  37%|███▋      | 35/94 [31:46<52:05, 52.97s/it]
Quantizing model.layers.35:  38%|███▊      | 36/94 [32:38<51:07, 52.89s/it]
Quantizing model.layers.36:  38%|███▊      | 36/94 [32:38<51:07, 52.89s/it]
Quantizing model.layers.36:  39%|███▉      | 37/94 [33:34<51:00, 53.69s/it]
Quantizing model.layers.37:  39%|███▉      | 37/94 [33:34<51:00, 53.69s/it]
Quantizing model.layers.37:  40%|████      | 38/94 [34:26<49:37, 53.17s/it]
Quantizing model.layers.38:  40%|████      | 38/94 [34:26<49:37, 53.17s/it]
Quantizing model.layers.38:  41%|████▏     | 39/94 [35:19<48:39, 53.09s/it]
Quantizing model.layers.39:  41%|████▏     | 39/94 [35:19<48:39, 53.09s/it]
Quantizing model.layers.39:  43%|████▎     | 40/94 [36:12<47:43, 53.04s/it]
Quantizing model.layers.40:  43%|████▎     | 40/94 [36:12<47:43, 53.04s/it]
Quantizing model.layers.40:  44%|████▎     | 41/94 [37:05<46:55, 53.11s/it]
Quantizing model.layers.41:  44%|████▎     | 41/94 [37:05<46:55, 53.11s/it]
Quantizing model.layers.41:  45%|████▍     | 42/94 [37:58<46:05, 53.18s/it]
Quantizing model.layers.42:  45%|████▍     | 42/94 [37:58<46:05, 53.18s/it]
Quantizing model.layers.42:  46%|████▌     | 43/94 [38:51<45:01, 52.96s/it]
Quantizing model.layers.43:  46%|████▌     | 43/94 [38:51<45:01, 52.96s/it]
Quantizing model.layers.43:  47%|████▋     | 44/94 [39:43<43:55, 52.72s/it]
Quantizing model.layers.44:  47%|████▋     | 44/94 [39:43<43:55, 52.72s/it]
Quantizing model.layers.44:  48%|████▊     | 45/94 [40:36<43:03, 52.73s/it]
Quantizing model.layers.45:  48%|████▊     | 45/94 [40:36<43:03, 52.73s/it]
Quantizing model.layers.45:  49%|████▉     | 46/94 [41:29<42:20, 52.93s/it]
Quantizing model.layers.46:  49%|████▉     | 46/94 [41:29<42:20, 52.93s/it]
Quantizing model.layers.46:  50%|█████     | 47/94 [42:22<41:31, 53.00s/it]
Quantizing model.layers.47:  50%|█████     | 47/94 [42:22<41:31, 53.00s/it]
Quantizing model.layers.47:  51%|█████     | 48/94 [43:15<40:30, 52.84s/it]
Quantizing model.layers.48:  51%|█████     | 48/94 [43:15<40:30, 52.84s/it]
Quantizing model.layers.48:  52%|█████▏    | 49/94 [44:07<39:30, 52.69s/it]
Quantizing model.layers.49:  52%|█████▏    | 49/94 [44:07<39:30, 52.69s/it]
Quantizing model.layers.49:  53%|█████▎    | 50/94 [44:59<38:34, 52.59s/it]
Quantizing model.layers.50:  53%|█████▎    | 50/94 [44:59<38:34, 52.59s/it]
Quantizing model.layers.50:  54%|█████▍    | 51/94 [45:51<37:34, 52.43s/it]
Quantizing model.layers.51:  54%|█████▍    | 51/94 [45:51<37:34, 52.43s/it]
Quantizing model.layers.51:  55%|█████▌    | 52/94 [46:43<36:36, 52.29s/it]
Quantizing model.layers.52:  55%|█████▌    | 52/94 [46:43<36:36, 52.29s/it]
Quantizing model.layers.52:  56%|█████▋    | 53/94 [47:35<35:41, 52.22s/it]
Quantizing model.layers.53:  56%|█████▋    | 53/94 [47:35<35:41, 52.22s/it]
Quantizing model.layers.53:  57%|█████▋    | 54/94 [48:28<34:51, 52.29s/it]
Quantizing model.layers.54:  57%|█████▋    | 54/94 [48:28<34:51, 52.29s/it]
Quantizing model.layers.54:  59%|█████▊    | 55/94 [49:22<34:17, 52.74s/it]
Quantizing model.layers.55:  59%|█████▊    | 55/94 [49:22<34:17, 52.74s/it]
Quantizing model.layers.55:  60%|█████▉    | 56/94 [50:15<33:33, 53.00s/it]
Quantizing model.layers.56:  60%|█████▉    | 56/94 [50:15<33:33, 53.00s/it]
Quantizing model.layers.56:  61%|██████    | 57/94 [51:08<32:39, 52.97s/it]
Quantizing model.layers.57:  61%|██████    | 57/94 [51:08<32:39, 52.97s/it]
Quantizing model.layers.57:  62%|██████▏   | 58/94 [52:00<31:40, 52.78s/it]
Quantizing model.layers.58:  62%|██████▏   | 58/94 [52:00<31:40, 52.78s/it]
Quantizing model.layers.58:  63%|██████▎   | 59/94 [52:54<30:50, 52.88s/it]
Quantizing model.layers.59:  63%|██████▎   | 59/94 [52:54<30:50, 52.88s/it]
Quantizing model.layers.59:  64%|██████▍   | 60/94 [53:47<30:06, 53.13s/it]
Quantizing model.layers.60:  64%|██████▍   | 60/94 [53:47<30:06, 53.13s/it]
Quantizing model.layers.60:  65%|██████▍   | 61/94 [54:39<29:03, 52.84s/it]
Quantizing model.layers.61:  65%|██████▍   | 61/94 [54:39<29:03, 52.84s/it]
Quantizing model.layers.61:  66%|██████▌   | 62/94 [55:32<28:04, 52.65s/it]
Quantizing model.layers.62:  66%|██████▌   | 62/94 [55:32<28:04, 52.65s/it]
Quantizing model.layers.62:  67%|██████▋   | 63/94 [56:24<27:09, 52.57s/it]
Quantizing model.layers.63:  67%|██████▋   | 63/94 [56:24<27:09, 52.57s/it]
Quantizing model.layers.63:  68%|██████▊   | 64/94 [57:17<26:20, 52.67s/it]
Quantizing model.layers.64:  68%|██████▊   | 64/94 [57:17<26:20, 52.67s/it]
Quantizing model.layers.64:  69%|██████▉   | 65/94 [58:10<25:30, 52.77s/it]
Quantizing model.layers.65:  69%|██████▉   | 65/94 [58:10<25:30, 52.77s/it]
Quantizing model.layers.65:  70%|███████   | 66/94 [59:02<24:29, 52.50s/it]
Quantizing model.layers.66:  70%|███████   | 66/94 [59:02<24:29, 52.50s/it]
Quantizing model.layers.66:  71%|███████▏  | 67/94 [59:54<23:37, 52.49s/it]
Quantizing model.layers.67:  71%|███████▏  | 67/94 [59:54<23:37, 52.49s/it]
Quantizing model.layers.67:  72%|███████▏  | 68/94 [1:00:46<22:37, 52.23s/it]
Quantizing model.layers.68:  72%|███████▏  | 68/94 [1:00:46<22:37, 52.23s/it]
Quantizing model.layers.68:  73%|███████▎  | 69/94 [1:01:37<21:37, 51.92s/it]
Quantizing model.layers.69:  73%|███████▎  | 69/94 [1:01:37<21:37, 51.92s/it]
Quantizing model.layers.69:  74%|███████▍  | 70/94 [1:02:29<20:45, 51.88s/it]
Quantizing model.layers.70:  74%|███████▍  | 70/94 [1:02:29<20:45, 51.88s/it]
Quantizing model.layers.70:  76%|███████▌  | 71/94 [1:03:23<20:06, 52.44s/it]
Quantizing model.layers.71:  76%|███████▌  | 71/94 [1:03:23<20:06, 52.44s/it]
Quantizing model.layers.71:  77%|███████▋  | 72/94 [1:04:15<19:11, 52.35s/it]
Quantizing model.layers.72:  77%|███████▋  | 72/94 [1:04:15<19:11, 52.35s/it]
Quantizing model.layers.72:  78%|███████▊  | 73/94 [1:05:09<18:31, 52.91s/it]
Quantizing model.layers.73:  78%|███████▊  | 73/94 [1:05:09<18:31, 52.91s/it]
Quantizing model.layers.73:  79%|███████▊  | 74/94 [1:06:02<17:38, 52.93s/it]
Quantizing model.layers.74:  79%|███████▊  | 74/94 [1:06:02<17:38, 52.93s/it]
Quantizing model.layers.74:  80%|███████▉  | 75/94 [1:06:57<16:55, 53.47s/it]
Quantizing model.layers.75:  80%|███████▉  | 75/94 [1:06:57<16:55, 53.47s/it]
Quantizing model.layers.75:  81%|████████  | 76/94 [1:07:52<16:09, 53.87s/it]
Quantizing model.layers.76:  81%|████████  | 76/94 [1:07:52<16:09, 53.87s/it]
Quantizing model.layers.76:  82%|████████▏ | 77/94 [1:08:43<15:05, 53.25s/it]
Quantizing model.layers.77:  82%|████████▏ | 77/94 [1:08:43<15:05, 53.25s/it]
Quantizing model.layers.77:  83%|████████▎ | 78/94 [1:09:36<14:11, 53.20s/it]
Quantizing model.layers.78:  83%|████████▎ | 78/94 [1:09:36<14:11, 53.20s/it]
Quantizing model.layers.78:  84%|████████▍ | 79/94 [1:10:30<13:17, 53.18s/it]
Quantizing model.layers.79:  84%|████████▍ | 79/94 [1:10:30<13:17, 53.18s/it]
Quantizing model.layers.79:  85%|████████▌ | 80/94 [1:11:23<12:25, 53.27s/it]
Quantizing model.layers.80:  85%|████████▌ | 80/94 [1:11:23<12:25, 53.27s/it]
Quantizing model.layers.80:  86%|████████▌ | 81/94 [1:12:17<11:33, 53.36s/it]
Quantizing model.layers.81:  86%|████████▌ | 81/94 [1:12:17<11:33, 53.36s/it]
Quantizing model.layers.81:  87%|████████▋ | 82/94 [1:13:10<10:39, 53.25s/it]
Quantizing model.layers.82:  87%|████████▋ | 82/94 [1:13:10<10:39, 53.25s/it]
Quantizing model.layers.82:  88%|████████▊ | 83/94 [1:14:03<09:45, 53.19s/it]
Quantizing model.layers.83:  88%|████████▊ | 83/94 [1:14:03<09:45, 53.19s/it]
Quantizing model.layers.83:  89%|████████▉ | 84/94 [1:14:56<08:53, 53.36s/it]
Quantizing model.layers.84:  89%|████████▉ | 84/94 [1:14:56<08:53, 53.36s/it]
Quantizing model.layers.84:  90%|█████████ | 85/94 [1:15:48<07:56, 52.90s/it]
Quantizing model.layers.85:  90%|█████████ | 85/94 [1:15:48<07:56, 52.90s/it]
Quantizing model.layers.85:  91%|█████████▏| 86/94 [1:16:42<07:04, 53.05s/it]
Quantizing model.layers.86:  91%|█████████▏| 86/94 [1:16:42<07:04, 53.05s/it]
Quantizing model.layers.86:  93%|█████████▎| 87/94 [1:17:34<06:10, 52.99s/it]
Quantizing model.layers.87:  93%|█████████▎| 87/94 [1:17:34<06:10, 52.99s/it]
Quantizing model.layers.87:  94%|█████████▎| 88/94 [1:18:25<05:14, 52.39s/it]
Quantizing model.layers.88:  94%|█████████▎| 88/94 [1:18:25<05:14, 52.39s/it]
Quantizing model.layers.88:  95%|█████████▍| 89/94 [1:19:19<04:23, 52.66s/it]
Quantizing model.layers.89:  95%|█████████▍| 89/94 [1:19:19<04:23, 52.66s/it]
Quantizing model.layers.89:  96%|█████████▌| 90/94 [1:20:09<03:28, 52.06s/it]
Quantizing model.layers.90:  96%|█████████▌| 90/94 [1:20:09<03:28, 52.06s/it]
Quantizing model.layers.90:  97%|█████████▋| 91/94 [1:21:00<02:34, 51.64s/it]
Quantizing model.layers.91:  97%|█████████▋| 91/94 [1:21:00<02:34, 51.64s/it]
Quantizing model.layers.91:  98%|█████████▊| 92/94 [1:21:49<01:41, 50.75s/it]
Quantizing model.layers.92:  98%|█████████▊| 92/94 [1:21:49<01:41, 50.75s/it]
Quantizing model.layers.92:  99%|█████████▉| 93/94 [1:22:36<00:49, 49.76s/it]
Quantizing model.layers.93:  99%|█████████▉| 93/94 [1:22:36<00:49, 49.76s/it]
Quantizing model.layers.93: 100%|██████████| 94/94 [1:23:22<00:00, 48.66s/it]
Quantizing model.layers.93: 100%|██████████| 94/94 [1:23:22<00:00, 53.22s/it]
chaiml-muster-v1-q235b-25291-v1-uploader: 
  0%|          | 0/36566 [00:00<?, ?it/s]
packing model.layers.0.mlp.gate:   0%|          | 0/36566 [00:00<?, ?it/s]
packing model.layers.0.mlp.gate:   0%|          | 1/36566 [00:01<11:37:11,  1.14s/it]
packing model.layers.1.mlp.gate:   0%|          | 1/36566 [00:01<11:37:11,  1.14s/it]
packing model.layers.2.mlp.gate:   0%|          | 2/36566 [00:01<11:37:10,  1.14s/it]
packing model.layers.3.mlp.gate:   0%|          | 3/36566 [00:01<11:37:09,  1.14s/it]
packing model.layers.4.mlp.gate:   0%|          | 4/36566 [00:01<11:37:08,  1.14s/it]
packing model.layers.5.mlp.gate:   0%|          | 5/36566 [00:01<11:37:07,  1.14s/it]
packing model.layers.6.mlp.gate:   0%|          | 6/36566 [00:01<11:37:06,  1.14s/it]
packing model.layers.7.mlp.gate:   0%|          | 7/36566 [00:01<11:37:04,  1.14s/it]
packing model.layers.8.mlp.gate:   0%|          | 8/36566 [00:01<11:37:03,  1.14s/it]
packing model.layers.9.mlp.gate:   0%|          | 9/36566 [00:01<11:37:02,  1.14s/it]
packing model.layers.10.mlp.gate:   0%|          | 10/36566 [00:01<11:37:01,  1.14s/it]
packing model.layers.11.mlp.gate:   0%|          | 11/36566 [00:01<11:37:00,  1.14s/it]
packing model.layers.12.mlp.gate:   0%|          | 12/36566 [00:01<11:36:59,  1.14s/it]
packing model.layers.13.mlp.gate:   0%|          | 13/36566 [00:01<11:36:58,  1.14s/it]
packing model.layers.14.mlp.gate:   0%|          | 14/36566 [00:01<11:36:56,  1.14s/it]
packing model.layers.15.mlp.gate:   0%|          | 15/36566 [00:01<11:36:55,  1.14s/it]
packing model.layers.16.mlp.gate:   0%|          | 16/36566 [00:01<11:36:54,  1.14s/it]
packing model.layers.17.mlp.gate:   0%|          | 17/36566 [00:01<11:36:53,  1.14s/it]
packing model.layers.18.mlp.gate:   0%|          | 18/36566 [00:01<11:36:52,  1.14s/it]
packing model.layers.19.mlp.gate:   0%|          | 19/36566 [00:01<11:36:51,  1.14s/it]
packing model.layers.20.mlp.gate:   0%|          | 20/36566 [00:01<11:36:49,  1.14s/it]
packing model.layers.21.mlp.gate:   0%|          | 21/36566 [00:01<11:36:48,  1.14s/it]
packing model.layers.22.mlp.gate:   0%|          | 22/36566 [00:01<11:36:47,  1.14s/it]
packing model.layers.23.mlp.gate:   0%|          | 23/36566 [00:01<11:36:46,  1.14s/it]
packing model.layers.24.mlp.gate:   0%|          | 24/36566 [00:01<11:36:45,  1.14s/it]
packing model.layers.25.mlp.gate:   0%|          | 25/36566 [00:01<11:36:44,  1.14s/it]
packing model.layers.26.mlp.gate:   0%|          | 26/36566 [00:01<11:36:43,  1.14s/it]
packing model.layers.27.mlp.gate:   0%|          | 27/36566 [00:01<11:36:41,  1.14s/it]
packing model.layers.28.mlp.gate:   0%|          | 28/36566 [00:01<11:36:40,  1.14s/it]
packing model.layers.29.mlp.gate:   0%|          | 29/36566 [00:01<11:36:39,  1.14s/it]
packing model.layers.30.mlp.gate:   0%|          | 30/36566 [00:01<11:36:38,  1.14s/it]
packing model.layers.31.mlp.gate:   0%|          | 31/36566 [00:01<11:36:37,  1.14s/it]
packing model.layers.32.mlp.gate:   0%|          | 32/36566 [00:01<11:36:36,  1.14s/it]
packing model.layers.33.mlp.gate:   0%|          | 33/36566 [00:01<11:36:35,  1.14s/it]
packing model.layers.34.mlp.gate:   0%|          | 34/36566 [00:01<11:36:33,  1.14s/it]
packing model.layers.35.mlp.gate:   0%|          | 35/36566 [00:01<11:36:32,  1.14s/it]
packing model.layers.36.mlp.gate:   0%|          | 36/36566 [00:01<11:36:31,  1.14s/it]
packing model.layers.37.mlp.gate:   0%|          | 37/36566 [00:01<11:36:30,  1.14s/it]
packing model.layers.38.mlp.gate:   0%|          | 38/36566 [00:01<11:36:29,  1.14s/it]
packing model.layers.39.mlp.gate:   0%|          | 39/36566 [00:01<11:36:28,  1.14s/it]
packing model.layers.40.mlp.gate:   0%|          | 40/36566 [00:01<11:36:27,  1.14s/it]
packing model.layers.41.mlp.gate:   0%|          | 41/36566 [00:01<11:36:25,  1.14s/it]
packing model.layers.42.mlp.gate:   0%|          | 42/36566 [00:01<11:36:24,  1.14s/it]
packing model.layers.43.mlp.gate:   0%|          | 43/36566 [00:01<11:36:23,  1.14s/it]
packing model.layers.44.mlp.gate:   0%|          | 44/36566 [00:01<11:36:22,  1.14s/it]
packing model.layers.45.mlp.gate:   0%|          | 45/36566 [00:01<11:36:21,  1.14s/it]
packing model.layers.46.mlp.gate:   0%|          | 46/36566 [00:01<11:36:20,  1.14s/it]
packing model.layers.47.mlp.gate:   0%|          | 47/36566 [00:01<11:36:19,  1.14s/it]
packing model.layers.48.mlp.gate:   0%|          | 48/36566 [00:01<11:36:17,  1.14s/it]
packing model.layers.49.mlp.gate:   0%|          | 49/36566 [00:01<11:36:16,  1.14s/it]
packing model.layers.50.mlp.gate:   0%|          | 50/36566 [00:01<11:36:15,  1.14s/it]
packing model.layers.51.mlp.gate:   0%|          | 51/36566 [00:01<11:36:14,  1.14s/it]
packing model.layers.52.mlp.gate:   0%|          | 52/36566 [00:01<11:36:13,  1.14s/it]
packing model.layers.53.mlp.gate:   0%|          | 53/36566 [00:01<11:36:12,  1.14s/it]
packing model.layers.54.mlp.gate:   0%|          | 54/36566 [00:01<11:36:11,  1.14s/it]
packing model.layers.55.mlp.gate:   0%|          | 55/36566 [00:01<11:36:09,  1.14s/it]
packing model.layers.56.mlp.gate:   0%|          | 56/36566 [00:01<11:36:08,  1.14s/it]
packing model.layers.57.mlp.gate:   0%|          | 57/36566 [00:01<11:36:07,  1.14s/it]
packing model.layers.58.mlp.gate:   0%|          | 58/36566 [00:01<11:36:06,  1.14s/it]
packing model.layers.59.mlp.gate:   0%|          | 59/36566 [00:01<11:36:05,  1.14s/it]
packing model.layers.60.mlp.gate:   0%|          | 60/36566 [00:01<11:36:04,  1.14s/it]
packing model.layers.61.mlp.gate:   0%|          | 61/36566 [00:01<11:36:03,  1.14s/it]
packing model.layers.62.mlp.gate:   0%|          | 62/36566 [00:01<11:36:01,  1.14s/it]
packing model.layers.63.mlp.gate:   0%|          | 63/36566 [00:01<11:36:00,  1.14s/it]
packing model.layers.64.mlp.gate:   0%|          | 64/36566 [00:01<11:35:59,  1.14s/it]
packing model.layers.65.mlp.gate:   0%|          | 65/36566 [00:01<11:35:58,  1.14s/it]
packing model.layers.66.mlp.gate:   0%|          | 66/36566 [00:01<11:35:57,  1.14s/it]
packing model.layers.67.mlp.gate:   0%|          | 67/36566 [00:01<11:35:56,  1.14s/it]
packing model.layers.68.mlp.gate:   0%|          | 68/36566 [00:01<11:35:55,  1.14s/it]
packing model.layers.69.mlp.gate:   0%|          | 69/36566 [00:01<11:35:53,  1.14s/it]
packing model.layers.70.mlp.gate:   0%|          | 70/36566 [00:01<11:35:52,  1.14s/it]
packing model.layers.71.mlp.gate:   0%|          | 71/36566 [00:01<11:35:51,  1.14s/it]
packing model.layers.72.mlp.gate:   0%|          | 72/36566 [00:01<11:35:50,  1.14s/it]
packing model.layers.73.mlp.gate:   0%|          | 73/36566 [00:01<11:35:49,  1.14s/it]
packing model.layers.74.mlp.gate:   0%|          | 74/36566 [00:01<11:35:48,  1.14s/it]
packing model.layers.75.mlp.gate:   0%|          | 75/36566 [00:01<11:35:47,  1.14s/it]
packing model.layers.76.mlp.gate:   0%|          | 76/36566 [00:01<11:35:45,  1.14s/it]
packing model.layers.77.mlp.gate:   0%|          | 77/36566 [00:01<11:35:44,  1.14s/it]
packing model.layers.78.mlp.gate:   0%|          | 78/36566 [00:01<11:35:43,  1.14s/it]
packing model.layers.79.mlp.gate:   0%|          | 79/36566 [00:01<11:35:42,  1.14s/it]
packing model.layers.80.mlp.gate:   0%|          | 80/36566 [00:01<11:35:41,  1.14s/it]
packing model.layers.81.mlp.gate:   0%|          | 81/36566 [00:01<11:35:40,  1.14s/it]
packing model.layers.82.mlp.gate:   0%|          | 82/36566 [00:01<11:35:39,  1.14s/it]
packing model.layers.83.mlp.gate:   0%|          | 83/36566 [00:01<11:35:37,  1.14s/it]
packing model.layers.84.mlp.gate:   0%|          | 84/36566 [00:01<11:35:36,  1.14s/it]
packing model.layers.85.mlp.gate:   0%|          | 85/36566 [00:01<11:35:35,  1.14s/it]
packing model.layers.86.mlp.gate:   0%|          | 86/36566 [00:01<11:35:34,  1.14s/it]
packing model.layers.87.mlp.gate:   0%|          | 87/36566 [00:01<11:35:33,  1.14s/it]
packing model.layers.88.mlp.gate:   0%|          | 88/36566 [00:01<11:35:32,  1.14s/it]
packing model.layers.89.mlp.gate:   0%|          | 89/36566 [00:01<11:35:31,  1.14s/it]
packing model.layers.90.mlp.gate:   0%|          | 90/36566 [00:01<11:35:29,  1.14s/it]
packing model.layers.91.mlp.gate:   0%|          | 91/36566 [00:01<11:35:28,  1.14s/it]
packing model.layers.92.mlp.gate:   0%|          | 92/36566 [00:01<11:35:27,  1.14s/it]
packing model.layers.93.mlp.gate:   0%|          | 93/36566 [00:01<11:35:26,  1.14s/it]
packing model.layers.0.self_attn.k_proj:   0%|          | 94/36566 [00:01<11:35:25,  1.14s/it]
packing model.layers.1.self_attn.k_proj:   0%|          | 95/36566 [00:01<11:35:24,  1.14s/it]
packing model.layers.2.self_attn.k_proj:   0%|          | 96/36566 [00:01<11:35:23,  1.14s/it]
packing model.layers.3.self_attn.k_proj:   0%|          | 97/36566 [00:01<11:35:21,  1.14s/it]
packing model.layers.4.self_attn.k_proj:   0%|          | 98/36566 [00:01<11:35:20,  1.14s/it]
packing model.layers.5.self_attn.k_proj:   0%|          | 99/36566 [00:01<11:35:19,  1.14s/it]
packing model.layers.6.self_attn.k_proj:   0%|          | 100/36566 [00:01<11:35:18,  1.14s/it]
packing model.layers.7.self_attn.k_proj:   0%|          | 101/36566 [00:01<11:35:17,  1.14s/it]
packing model.layers.8.self_attn.k_proj:   0%|          | 102/36566 [00:01<11:35:16,  1.14s/it]
packing model.layers.9.self_attn.k_proj:   0%|          | 103/36566 [00:01<11:35:15,  1.14s/it]
packing model.layers.10.self_attn.k_proj:   0%|          | 104/36566 [00:01<11:35:13,  1.14s/it]
packing model.layers.11.self_attn.k_proj:   0%|          | 105/36566 [00:01<11:35:12,  1.14s/it]
packing model.layers.12.self_attn.k_proj:   0%|          | 106/36566 [00:01<11:35:11,  1.14s/it]
packing model.layers.13.self_attn.k_proj:   0%|          | 107/36566 [00:01<11:35:10,  1.14s/it]
packing model.layers.14.self_attn.k_proj:   0%|          | 108/36566 [00:01<11:35:09,  1.14s/it]
packing model.layers.15.self_attn.k_proj:   0%|          | 109/36566 [00:01<11:35:08,  1.14s/it]
packing model.layers.16.self_attn.k_proj:   0%|          | 110/36566 [00:01<11:35:07,  1.14s/it]
packing model.layers.17.self_attn.k_proj:   0%|          | 111/36566 [00:01<11:35:05,  1.14s/it]
packing model.layers.18.self_attn.k_proj:   0%|          | 112/36566 [00:01<11:35:04,  1.14s/it]
packing model.layers.19.self_attn.k_proj:   0%|          | 113/36566 [00:01<11:35:03,  1.14s/it]
packing model.layers.20.self_attn.k_proj:   0%|          | 114/36566 [00:01<11:35:02,  1.14s/it]
packing model.layers.21.self_attn.k_proj:   0%|          | 115/36566 [00:01<11:35:01,  1.14s/it]
packing model.layers.21.self_attn.k_proj:   0%|          | 116/36566 [00:01<04:44, 128.32it/s]  
packing model.layers.22.self_attn.k_proj:   0%|          | 116/36566 [00:01<04:44, 128.32it/s]
packing model.layers.23.self_attn.k_proj:   0%|          | 117/36566 [00:01<04:44, 128.32it/s]
packing model.layers.24.self_attn.k_proj:   0%|          | 118/36566 [00:01<04:44, 128.32it/s]
packing model.layers.25.self_attn.k_proj:   0%|          | 119/36566 [00:01<04:44, 128.32it/s]
packing model.layers.26.self_attn.k_proj:   0%|          | 120/36566 [00:01<04:44, 128.32it/s]
packing model.layers.27.self_attn.k_proj:   0%|          | 121/36566 [00:01<04:44, 128.32it/s]
packing model.layers.28.self_attn.k_proj:   0%|          | 122/36566 [00:01<04:44, 128.32it/s]
packing model.layers.29.self_attn.k_proj:   0%|          | 123/36566 [00:01<04:43, 128.32it/s]
packing model.layers.30.self_attn.k_proj:   0%|          | 124/36566 [00:01<04:43, 128.32it/s]
packing model.layers.31.self_attn.k_proj:   0%|          | 125/36566 [00:01<04:43, 128.32it/s]
packing model.layers.32.self_attn.k_proj:   0%|          | 126/36566 [00:01<04:43, 128.32it/s]
packing model.layers.33.self_attn.k_proj:   0%|          | 127/36566 [00:01<04:43, 128.32it/s]
packing model.layers.34.self_attn.k_proj:   0%|          | 128/36566 [00:01<04:43, 128.32it/s]
packing model.layers.35.self_attn.k_proj:   0%|          | 129/36566 [00:01<04:43, 128.32it/s]
packing model.layers.36.self_attn.k_proj:   0%|          | 130/36566 [00:01<04:43, 128.32it/s]
packing model.layers.37.self_attn.k_proj:   0%|          | 131/36566 [00:01<04:43, 128.32it/s]
packing model.layers.38.self_attn.k_proj:   0%|          | 132/36566 [00:01<04:43, 128.32it/s]
packing model.layers.39.self_attn.k_proj:   0%|          | 133/36566 [00:01<04:43, 128.32it/s]
packing model.layers.40.self_attn.k_proj:   0%|          | 134/36566 [00:01<04:43, 128.32it/s]
packing model.layers.41.self_attn.k_proj:   0%|          | 135/36566 [00:01<04:43, 128.32it/s]
packing model.layers.42.self_attn.k_proj:   0%|          | 136/36566 [00:01<04:43, 128.32it/s]
packing model.layers.43.self_attn.k_proj:   0%|          | 137/36566 [00:01<04:43, 128.32it/s]
packing model.layers.44.self_attn.k_proj:   0%|          | 138/36566 [00:01<04:43, 128.32it/s]
packing model.layers.45.self_attn.k_proj:   0%|          | 139/36566 [00:01<04:43, 128.32it/s]
packing model.layers.46.self_attn.k_proj:   0%|          | 140/36566 [00:01<04:43, 128.32it/s]
packing model.layers.47.self_attn.k_proj:   0%|          | 141/36566 [00:01<04:43, 128.32it/s]
packing model.layers.48.self_attn.k_proj:   0%|          | 142/36566 [00:01<04:43, 128.32it/s]
packing model.layers.49.self_attn.k_proj:   0%|          | 143/36566 [00:01<04:43, 128.32it/s]
packing model.layers.50.self_attn.k_proj:   0%|          | 144/36566 [00:01<04:43, 128.32it/s]
packing model.layers.51.self_attn.k_proj:   0%|          | 145/36566 [00:01<04:43, 128.32it/s]
packing model.layers.52.self_attn.k_proj:   0%|          | 146/36566 [00:01<04:43, 128.32it/s]
packing model.layers.53.self_attn.k_proj:   0%|          | 147/36566 [00:01<04:43, 128.32it/s]
packing model.layers.54.self_attn.k_proj:   0%|          | 148/36566 [00:01<04:43, 128.32it/s]
packing model.layers.55.self_attn.k_proj:   0%|          | 149/36566 [00:01<04:43, 128.32it/s]
packing model.layers.56.self_attn.k_proj:   0%|          | 150/36566 [00:01<04:43, 128.32it/s]
packing model.layers.57.self_attn.k_proj:   0%|          | 151/36566 [00:01<04:43, 128.32it/s]
packing model.layers.58.self_attn.k_proj:   0%|          | 152/36566 [00:01<04:43, 128.32it/s]
packing model.layers.59.self_attn.k_proj:   0%|          | 153/36566 [00:01<04:43, 128.32it/s]
packing model.layers.60.self_attn.k_proj:   0%|          | 154/36566 [00:01<04:43, 128.32it/s]
packing model.layers.61.self_attn.k_proj:   0%|          | 155/36566 [00:01<04:43, 128.32it/s]
packing model.layers.62.self_attn.k_proj:   0%|          | 156/36566 [00:01<04:43, 128.32it/s]
packing model.layers.63.self_attn.k_proj:   0%|          | 157/36566 [00:01<04:43, 128.32it/s]
packing model.layers.64.self_attn.k_proj:   0%|          | 158/36566 [00:01<04:43, 128.32it/s]
packing model.layers.65.self_attn.k_proj:   0%|          | 159/36566 [00:01<04:43, 128.32it/s]
packing model.layers.66.self_attn.k_proj:   0%|          | 160/36566 [00:01<04:43, 128.32it/s]
packing model.layers.67.self_attn.k_proj:   0%|          | 161/36566 [00:01<04:43, 128.32it/s]
packing model.layers.68.self_attn.k_proj:   0%|          | 162/36566 [00:01<04:43, 128.32it/s]
packing model.layers.69.self_attn.k_proj:   0%|          | 163/36566 [00:01<04:43, 128.32it/s]
packing model.layers.70.self_attn.k_proj:   0%|          | 164/36566 [00:01<04:43, 128.32it/s]
packing model.layers.71.self_attn.k_proj:   0%|          | 165/36566 [00:01<04:43, 128.32it/s]
packing model.layers.72.self_attn.k_proj:   0%|          | 166/36566 [00:01<04:43, 128.32it/s]
packing model.layers.73.self_attn.k_proj:   0%|          | 167/36566 [00:01<04:43, 128.32it/s]
packing model.layers.74.self_attn.k_proj:   0%|          | 168/36566 [00:01<04:43, 128.32it/s]
packing model.layers.75.self_attn.k_proj:   0%|          | 169/36566 [00:01<04:43, 128.32it/s]
packing model.layers.76.self_attn.k_proj:   0%|          | 170/36566 [00:01<04:43, 128.32it/s]
packing model.layers.77.self_attn.k_proj:   0%|          | 171/36566 [00:01<04:43, 128.32it/s]
packing model.layers.78.self_attn.k_proj:   0%|          | 172/36566 [00:01<04:43, 128.32it/s]
packing model.layers.79.self_attn.k_proj:   0%|          | 173/36566 [00:01<04:43, 128.32it/s]
packing model.layers.80.self_attn.k_proj:   0%|          | 174/36566 [00:01<04:43, 128.32it/s]
packing model.layers.81.self_attn.k_proj:   0%|          | 175/36566 [00:01<04:43, 128.32it/s]
packing model.layers.82.self_attn.k_proj:   0%|          | 176/36566 [00:01<04:43, 128.32it/s]
packing model.layers.83.self_attn.k_proj:   0%|          | 177/36566 [00:01<04:43, 128.32it/s]
packing model.layers.84.self_attn.k_proj:   0%|          | 178/36566 [00:01<04:43, 128.32it/s]
packing model.layers.85.self_attn.k_proj:   0%|          | 179/36566 [00:01<04:43, 128.32it/s]
packing model.layers.86.self_attn.k_proj:   0%|          | 180/36566 [00:01<04:43, 128.32it/s]
packing model.layers.87.self_attn.k_proj:   0%|          | 181/36566 [00:01<04:43, 128.32it/s]
packing model.layers.88.self_attn.k_proj:   0%|          | 182/36566 [00:01<04:43, 128.32it/s]
packing model.layers.89.self_attn.k_proj:   1%|          | 183/36566 [00:01<04:43, 128.32it/s]
packing model.layers.90.self_attn.k_proj:   1%|          | 184/36566 [00:01<04:43, 128.32it/s]
packing model.layers.91.self_attn.k_proj:   1%|          | 185/36566 [00:01<04:43, 128.32it/s]
packing model.layers.92.self_attn.k_proj:   1%|          | 186/36566 [00:01<04:43, 128.32it/s]
packing model.layers.93.self_attn.k_proj:   1%|          | 187/36566 [00:01<04:43, 128.32it/s]
packing model.layers.0.self_attn.o_proj:   1%|          | 188/36566 [00:01<04:43, 128.32it/s] 
packing model.layers.1.self_attn.o_proj:   1%|          | 189/36566 [00:01<04:43, 128.32it/s]
packing model.layers.2.self_attn.o_proj:   1%|          | 190/36566 [00:01<04:43, 128.32it/s]
packing model.layers.3.self_attn.o_proj:   1%|          | 191/36566 [00:01<04:43, 128.32it/s]
packing model.layers.4.self_attn.o_proj:   1%|          | 192/36566 [00:01<04:43, 128.32it/s]
packing model.layers.5.self_attn.o_proj:   1%|          | 193/36566 [00:01<04:43, 128.32it/s]
packing model.layers.6.self_attn.o_proj:   1%|          | 194/36566 [00:01<04:43, 128.32it/s]
packing model.layers.7.self_attn.o_proj:   1%|          | 195/36566 [00:01<04:43, 128.32it/s]
packing model.layers.8.self_attn.o_proj:   1%|          | 196/36566 [00:01<04:43, 128.32it/s]
packing model.layers.9.self_attn.o_proj:   1%|          | 197/36566 [00:01<04:43, 128.32it/s]
packing model.layers.10.self_attn.o_proj:   1%|          | 198/36566 [00:01<04:43, 128.32it/s]
packing model.layers.11.self_attn.o_proj:   1%|          | 199/36566 [00:01<04:43, 128.32it/s]
packing model.layers.12.self_attn.o_proj:   1%|          | 200/36566 [00:01<04:43, 128.32it/s]
packing model.layers.13.self_attn.o_proj:   1%|          | 201/36566 [00:01<04:43, 128.32it/s]
packing model.layers.14.self_attn.o_proj:   1%|          | 202/36566 [00:01<04:43, 128.32it/s]
packing model.layers.15.self_attn.o_proj:   1%|          | 203/36566 [00:01<04:43, 128.32it/s]
packing model.layers.16.self_attn.o_proj:   1%|          | 204/36566 [00:01<04:43, 128.32it/s]
packing model.layers.17.self_attn.o_proj:   1%|          | 205/36566 [00:01<04:43, 128.32it/s]
packing model.layers.18.self_attn.o_proj:   1%|          | 206/36566 [00:01<04:43, 128.32it/s]
packing model.layers.19.self_attn.o_proj:   1%|          | 207/36566 [00:01<04:43, 128.32it/s]
packing model.layers.20.self_attn.o_proj:   1%|          | 208/36566 [00:01<04:43, 128.32it/s]
packing model.layers.21.self_attn.o_proj:   1%|          | 209/36566 [00:01<04:43, 128.32it/s]
packing model.layers.22.self_attn.o_proj:   1%|          | 210/36566 [00:01<04:43, 128.32it/s]
packing model.layers.23.self_attn.o_proj:   1%|          | 211/36566 [00:01<04:43, 128.32it/s]
packing model.layers.24.self_attn.o_proj:   1%|          | 212/36566 [00:01<04:43, 128.32it/s]
packing model.layers.25.self_attn.o_proj:   1%|          | 213/36566 [00:01<04:43, 128.32it/s]
packing model.layers.26.self_attn.o_proj:   1%|          | 214/36566 [00:01<04:43, 128.32it/s]
packing model.layers.27.self_attn.o_proj:   1%|          | 215/36566 [00:01<04:43, 128.32it/s]
packing model.layers.28.self_attn.o_proj:   1%|          | 216/36566 [00:01<04:43, 128.32it/s]
packing model.layers.29.self_attn.o_proj:   1%|          | 217/36566 [00:01<04:43, 128.32it/s]
packing model.layers.30.self_attn.o_proj:   1%|          | 218/36566 [00:01<04:43, 128.32it/s]
packing model.layers.31.self_attn.o_proj:   1%|          | 219/36566 [00:01<04:43, 128.32it/s]
packing model.layers.32.self_attn.o_proj:   1%|          | 220/36566 [00:01<04:43, 128.32it/s]
packing model.layers.33.self_attn.o_proj:   1%|          | 221/36566 [00:01<04:43, 128.32it/s]
packing model.layers.34.self_attn.o_proj:   1%|          | 222/36566 [00:01<04:43, 128.32it/s]
packing model.layers.35.self_attn.o_proj:   1%|          | 223/36566 [00:01<04:43, 128.32it/s]
packing model.layers.36.self_attn.o_proj:   1%|          | 224/36566 [00:01<04:43, 128.32it/s]
packing model.layers.37.self_attn.o_proj:   1%|          | 225/36566 [00:01<04:43, 128.32it/s]
packing model.layers.38.self_attn.o_proj:   1%|          | 226/36566 [00:01<04:43, 128.32it/s]
packing model.layers.39.self_attn.o_proj:   1%|          | 227/36566 [00:01<04:43, 128.32it/s]
packing model.layers.40.self_attn.o_proj:   1%|          | 228/36566 [00:01<04:43, 128.32it/s]
packing model.layers.41.self_attn.o_proj:   1%|          | 229/36566 [00:01<04:43, 128.32it/s]
packing model.layers.42.self_attn.o_proj:   1%|          | 230/36566 [00:01<04:43, 128.32it/s]
packing model.layers.43.self_attn.o_proj:   1%|          | 231/36566 [00:01<04:43, 128.32it/s]
packing model.layers.44.self_attn.o_proj:   1%|          | 232/36566 [00:01<04:43, 128.32it/s]
packing model.layers.44.self_attn.o_proj:   1%|          | 233/36566 [00:01<02:14, 270.55it/s]
packing model.layers.45.self_attn.o_proj:   1%|          | 233/36566 [00:01<02:14, 270.55it/s]
packing model.layers.46.self_attn.o_proj:   1%|          | 234/36566 [00:01<02:14, 270.55it/s]
packing model.layers.47.self_attn.o_proj:   1%|          | 235/36566 [00:01<02:14, 270.55it/s]
packing model.layers.48.self_attn.o_proj:   1%|          | 236/36566 [00:01<02:14, 270.55it/s]
packing model.layers.49.self_attn.o_proj:   1%|          | 237/36566 [00:01<02:14, 270.55it/s]
packing model.layers.50.self_attn.o_proj:   1%|          | 238/36566 [00:01<02:14, 270.55it/s]
packing model.layers.51.self_attn.o_proj:   1%|          | 239/36566 [00:01<02:14, 270.55it/s]
packing model.layers.52.self_attn.o_proj:   1%|          | 240/36566 [00:01<02:14, 270.55it/s]
packing model.layers.53.self_attn.o_proj:   1%|          | 241/36566 [00:01<02:14, 270.55it/s]
packing model.layers.54.self_attn.o_proj:   1%|          | 242/36566 [00:01<02:14, 270.55it/s]
packing model.layers.55.self_attn.o_proj:   1%|          | 243/36566 [00:01<02:14, 270.55it/s]
packing model.layers.56.self_attn.o_proj:   1%|          | 244/36566 [00:01<02:14, 270.55it/s]
packing model.layers.57.self_attn.o_proj:   1%|          | 245/36566 [00:01<02:14, 270.55it/s]
packing model.layers.58.self_attn.o_proj:   1%|          | 246/36566 [00:01<02:14, 270.55it/s]
packing model.layers.59.self_attn.o_proj:   1%|          | 247/36566 [00:01<02:14, 270.55it/s]
packing model.layers.60.self_attn.o_proj:   1%|          | 248/36566 [00:01<02:14, 270.55it/s]
packing model.layers.61.self_attn.o_proj:   1%|          | 249/36566 [00:01<02:14, 270.55it/s]
packing model.layers.62.self_attn.o_proj:   1%|          | 250/36566 [00:01<02:14, 270.55it/s]
packing model.layers.63.self_attn.o_proj:   1%|          | 251/36566 [00:01<02:14, 270.55it/s]
packing model.layers.64.self_attn.o_proj:   1%|          | 252/36566 [00:01<02:14, 270.55it/s]
packing model.layers.65.self_attn.o_proj:   1%|          | 253/36566 [00:01<02:14, 270.55it/s]
packing model.layers.66.self_attn.o_proj:   1%|          | 254/36566 [00:01<02:14, 270.55it/s]
packing model.layers.67.self_attn.o_proj:   1%|          | 255/36566 [00:01<02:14, 270.55it/s]
packing model.layers.68.self_attn.o_proj:   1%|          | 256/36566 [00:01<02:14, 270.55it/s]
packing model.layers.69.self_attn.o_proj:   1%|          | 257/36566 [00:01<02:14, 270.55it/s]
packing model.layers.70.self_attn.o_proj:   1%|          | 258/36566 [00:01<02:14, 270.55it/s]
packing model.layers.71.self_attn.o_proj:   1%|          | 259/36566 [00:01<02:14, 270.55it/s]
packing model.layers.72.self_attn.o_proj:   1%|          | 260/36566 [00:01<02:14, 270.55it/s]
packing model.layers.73.self_attn.o_proj:   1%|          | 261/36566 [00:01<02:14, 270.55it/s]
packing model.layers.74.self_attn.o_proj:   1%|          | 262/36566 [00:01<02:14, 270.55it/s]
packing model.layers.75.self_attn.o_proj:   1%|          | 263/36566 [00:01<02:14, 270.55it/s]
packing model.layers.76.self_attn.o_proj:   1%|          | 264/36566 [00:01<02:14, 270.55it/s]
packing model.layers.77.self_attn.o_proj:   1%|          | 265/36566 [00:01<02:14, 270.55it/s]
packing model.layers.78.self_attn.o_proj:   1%|          | 266/36566 [00:01<02:14, 270.55it/s]
packing model.layers.79.self_attn.o_proj:   1%|          | 267/36566 [00:01<02:14, 270.55it/s]
packing model.layers.80.self_attn.o_proj:   1%|          | 268/36566 [00:01<02:14, 270.55it/s]
packing model.layers.81.self_attn.o_proj:   1%|          | 269/36566 [00:01<02:14, 270.55it/s]
packing model.layers.82.self_attn.o_proj:   1%|          | 270/36566 [00:01<02:14, 270.55it/s]
packing model.layers.83.self_attn.o_proj:   1%|          | 271/36566 [00:01<02:14, 270.55it/s]
packing model.layers.84.self_attn.o_proj:   1%|          | 272/36566 [00:01<02:14, 270.55it/s]
packing model.layers.85.self_attn.o_proj:   1%|          | 273/36566 [00:01<02:14, 270.55it/s]
packing model.layers.86.self_attn.o_proj:   1%|          | 274/36566 [00:01<02:14, 270.55it/s]
packing model.layers.87.self_attn.o_proj:   1%|          | 275/36566 [00:01<02:14, 270.55it/s]
packing model.layers.88.self_attn.o_proj:   1%|          | 276/36566 [00:01<02:14, 270.55it/s]
packing model.layers.89.self_attn.o_proj:   1%|          | 277/36566 [00:01<02:14, 270.55it/s]
packing model.layers.90.self_attn.o_proj:   1%|          | 278/36566 [00:01<02:14, 270.55it/s]
packing model.layers.91.self_attn.o_proj:   1%|          | 279/36566 [00:01<02:14, 270.55it/s]
packing model.layers.92.self_attn.o_proj:   1%|          | 280/36566 [00:01<02:14, 270.55it/s]
packing model.layers.93.self_attn.o_proj:   1%|          | 281/36566 [00:01<02:14, 270.55it/s]
packing model.layers.0.self_attn.q_proj:   1%|          | 282/36566 [00:01<02:14, 270.55it/s] 
packing model.layers.1.self_attn.q_proj:   1%|          | 283/36566 [00:01<02:14, 270.55it/s]
packing model.layers.2.self_attn.q_proj:   1%|          | 284/36566 [00:01<02:14, 270.55it/s]
packing model.layers.3.self_attn.q_proj:   1%|          | 285/36566 [00:01<02:14, 270.55it/s]
packing model.layers.4.self_attn.q_proj:   1%|          | 286/36566 [00:01<02:14, 270.55it/s]
packing model.layers.5.self_attn.q_proj:   1%|          | 287/36566 [00:01<02:14, 270.55it/s]
packing model.layers.6.self_attn.q_proj:   1%|          | 288/36566 [00:01<02:14, 270.55it/s]
packing model.layers.7.self_attn.q_proj:   1%|          | 289/36566 [00:01<02:14, 270.55it/s]
packing model.layers.8.self_attn.q_proj:   1%|          | 290/36566 [00:01<02:14, 270.55it/s]
packing model.layers.9.self_attn.q_proj:   1%|          | 291/36566 [00:01<02:14, 270.55it/s]
packing model.layers.10.self_attn.q_proj:   1%|          | 292/36566 [00:01<02:14, 270.55it/s]
packing model.layers.11.self_attn.q_proj:   1%|          | 293/36566 [00:01<02:14, 270.55it/s]
packing model.layers.12.self_attn.q_proj:   1%|          | 294/36566 [00:01<02:14, 270.55it/s]
packing model.layers.13.self_attn.q_proj:   1%|          | 295/36566 [00:01<02:14, 270.55it/s]
packing model.layers.14.self_attn.q_proj:   1%|          | 296/36566 [00:01<02:14, 270.55it/s]
packing model.layers.15.self_attn.q_proj:   1%|          | 297/36566 [00:01<02:14, 270.55it/s]
packing model.layers.16.self_attn.q_proj:   1%|          | 298/36566 [00:01<02:14, 270.55it/s]
packing model.layers.17.self_attn.q_proj:   1%|          | 299/36566 [00:01<02:14, 270.55it/s]
packing model.layers.18.self_attn.q_proj:   1%|          | 300/36566 [00:01<02:14, 270.55it/s]
packing model.layers.19.self_attn.q_proj:   1%|          | 301/36566 [00:01<02:14, 270.55it/s]
packing model.layers.20.self_attn.q_proj:   1%|          | 302/36566 [00:01<02:14, 270.55it/s]
packing model.layers.21.self_attn.q_proj:   1%|          | 303/36566 [00:01<02:14, 270.55it/s]
packing model.layers.22.self_attn.q_proj:   1%|          | 304/36566 [00:01<02:14, 270.55it/s]
packing model.layers.23.self_attn.q_proj:   1%|          | 305/36566 [00:01<02:14, 270.55it/s]
packing model.layers.24.self_attn.q_proj:   1%|          | 306/36566 [00:01<02:14, 270.55it/s]
packing model.layers.25.self_attn.q_proj:   1%|          | 307/36566 [00:01<02:14, 270.55it/s]
packing model.layers.26.self_attn.q_proj:   1%|          | 308/36566 [00:01<02:14, 270.55it/s]
packing model.layers.27.self_attn.q_proj:   1%|          | 309/36566 [00:01<02:14, 270.55it/s]
packing model.layers.28.self_attn.q_proj:   1%|          | 310/36566 [00:01<02:14, 270.55it/s]
packing model.layers.29.self_attn.q_proj:   1%|          | 311/36566 [00:01<02:14, 270.55it/s]
packing model.layers.30.self_attn.q_proj:   1%|          | 312/36566 [00:01<02:14, 270.55it/s]
packing model.layers.31.self_attn.q_proj:   1%|          | 313/36566 [00:01<02:13, 270.55it/s]
packing model.layers.32.self_attn.q_proj:   1%|          | 314/36566 [00:01<02:13, 270.55it/s]
packing model.layers.33.self_attn.q_proj:   1%|          | 315/36566 [00:01<02:13, 270.55it/s]
packing model.layers.34.self_attn.q_proj:   1%|          | 316/36566 [00:01<02:13, 270.55it/s]
packing model.layers.35.self_attn.q_proj:   1%|          | 317/36566 [00:01<02:13, 270.55it/s]
packing model.layers.36.self_attn.q_proj:   1%|          | 318/36566 [00:01<02:13, 270.55it/s]
packing model.layers.37.self_attn.q_proj:   1%|          | 319/36566 [00:01<02:13, 270.55it/s]
packing model.layers.38.self_attn.q_proj:   1%|          | 320/36566 [00:01<02:13, 270.55it/s]
packing model.layers.39.self_attn.q_proj:   1%|          | 321/36566 [00:01<02:13, 270.55it/s]
packing model.layers.40.self_attn.q_proj:   1%|          | 322/36566 [00:01<02:13, 270.55it/s]
packing model.layers.41.self_attn.q_proj:   1%|          | 323/36566 [00:01<02:13, 270.55it/s]
packing model.layers.42.self_attn.q_proj:   1%|          | 324/36566 [00:01<02:13, 270.55it/s]
packing model.layers.43.self_attn.q_proj:   1%|          | 325/36566 [00:01<02:13, 270.55it/s]
packing model.layers.44.self_attn.q_proj:   1%|          | 326/36566 [00:01<02:13, 270.55it/s]
packing model.layers.45.self_attn.q_proj:   1%|          | 327/36566 [00:01<02:13, 270.55it/s]
packing model.layers.46.self_attn.q_proj:   1%|          | 328/36566 [00:01<02:13, 270.55it/s]
packing model.layers.47.self_attn.q_proj:   1%|          | 329/36566 [00:01<02:13, 270.55it/s]
packing model.layers.48.self_attn.q_proj:   1%|          | 330/36566 [00:01<02:13, 270.55it/s]
packing model.layers.49.self_attn.q_proj:   1%|          | 331/36566 [00:01<02:13, 270.55it/s]
packing model.layers.50.self_attn.q_proj:   1%|          | 332/36566 [00:01<02:13, 270.55it/s]
packing model.layers.51.self_attn.q_proj:   1%|          | 333/36566 [00:01<02:13, 270.55it/s]
packing model.layers.52.self_attn.q_proj:   1%|          | 334/36566 [00:01<02:13, 270.55it/s]
packing model.layers.53.self_attn.q_proj:   1%|          | 335/36566 [00:01<02:13, 270.55it/s]
packing model.layers.54.self_attn.q_proj:   1%|          | 336/36566 [00:01<02:13, 270.55it/s]
packing model.layers.55.self_attn.q_proj:   1%|          | 337/36566 [00:01<02:13, 270.55it/s]
packing model.layers.56.self_attn.q_proj:   1%|          | 338/36566 [00:01<02:13, 270.55it/s]
packing model.layers.57.self_attn.q_proj:   1%|          | 339/36566 [00:01<02:13, 270.55it/s]
packing model.layers.58.self_attn.q_proj:   1%|          | 340/36566 [00:01<02:13, 270.55it/s]
packing model.layers.59.self_attn.q_proj:   1%|          | 341/36566 [00:01<02:13, 270.55it/s]
packing model.layers.60.self_attn.q_proj:   1%|          | 342/36566 [00:01<02:13, 270.55it/s]
packing model.layers.61.self_attn.q_proj:   1%|          | 343/36566 [00:01<02:13, 270.55it/s]
packing model.layers.62.self_attn.q_proj:   1%|          | 344/36566 [00:01<02:13, 270.55it/s]
packing model.layers.63.self_attn.q_proj:   1%|          | 345/36566 [00:01<02:13, 270.55it/s]
packing model.layers.64.self_attn.q_proj:   1%|          | 346/36566 [00:01<02:13, 270.55it/s]
packing model.layers.65.self_attn.q_proj:   1%|          | 347/36566 [00:01<02:13, 270.55it/s]
packing model.layers.66.self_attn.q_proj:   1%|          | 348/36566 [00:01<02:13, 270.55it/s]
packing model.layers.66.self_attn.q_proj:   1%|          | 349/36566 [00:01<01:27, 415.68it/s]
packing model.layers.67.self_attn.q_proj:   1%|          | 349/36566 [00:01<01:27, 415.68it/s]
packing model.layers.68.self_attn.q_proj:   1%|          | 350/36566 [00:01<01:27, 415.68it/s]
packing model.layers.69.self_attn.q_proj:   1%|          | 351/36566 [00:01<01:27, 415.68it/s]
packing model.layers.70.self_attn.q_proj:   1%|          | 352/36566 [00:01<01:27, 415.68it/s]
packing model.layers.71.self_attn.q_proj:   1%|          | 353/36566 [00:01<01:27, 415.68it/s]
packing model.layers.72.self_attn.q_proj:   1%|          | 354/36566 [00:01<01:27, 415.68it/s]
packing model.layers.73.self_attn.q_proj:   1%|          | 355/36566 [00:01<01:27, 415.68it/s]
packing model.layers.74.self_attn.q_proj:   1%|          | 356/36566 [00:01<01:27, 415.68it/s]
packing model.layers.75.self_attn.q_proj:   1%|          | 357/36566 [00:01<01:27, 415.68it/s]
packing model.layers.76.self_attn.q_proj:   1%|          | 358/36566 [00:01<01:27, 415.68it/s]
packing model.layers.77.self_attn.q_proj:   1%|          | 359/36566 [00:01<01:27, 415.68it/s]
packing model.layers.78.self_attn.q_proj:   1%|          | 360/36566 [00:01<01:27, 415.68it/s]
packing model.layers.79.self_attn.q_proj:   1%|          | 361/36566 [00:01<01:27, 415.68it/s]
packing model.layers.80.self_attn.q_proj:   1%|          | 362/36566 [00:01<01:27, 415.68it/s]
packing model.layers.81.self_attn.q_proj:   1%|          | 363/36566 [00:01<01:27, 415.68it/s]
packing model.layers.82.self_attn.q_proj:   1%|          | 364/36566 [00:01<01:27, 415.68it/s]
packing model.layers.83.self_attn.q_proj:   1%|          | 365/36566 [00:01<01:27, 415.68it/s]
packing model.layers.84.self_attn.q_proj:   1%|          | 366/36566 [00:01<01:27, 415.68it/s]
packing model.layers.85.self_attn.q_proj:   1%|          | 367/36566 [00:01<01:27, 415.68it/s]
packing model.layers.86.self_attn.q_proj:   1%|          | 368/36566 [00:01<01:27, 415.68it/s]
packing model.layers.87.self_attn.q_proj:   1%|          | 369/36566 [00:01<01:27, 415.68it/s]
packing model.layers.88.self_attn.q_proj:   1%|          | 370/36566 [00:01<01:27, 415.68it/s]
packing model.layers.89.self_attn.q_proj:   1%|          | 371/36566 [00:01<01:27, 415.68it/s]
packing model.layers.90.self_attn.q_proj:   1%|          | 372/36566 [00:01<01:27, 415.68it/s]
packing model.layers.91.self_attn.q_proj:   1%|          | 373/36566 [00:01<01:27, 415.68it/s]
packing model.layers.92.self_attn.q_proj:   1%|          | 374/36566 [00:01<01:27, 415.68it/s]
packing model.layers.93.self_attn.q_proj:   1%|          | 375/36566 [00:01<01:27, 415.68it/s]
packing model.layers.0.self_attn.v_proj:   1%|          | 376/36566 [00:01<01:27, 415.68it/s] 
packing model.layers.1.self_attn.v_proj:   1%|          | 377/36566 [00:01<01:27, 415.68it/s]
packing model.layers.2.self_attn.v_proj:   1%|          | 378/36566 [00:01<01:27, 415.68it/s]
packing model.layers.3.self_attn.v_proj:   1%|          | 379/36566 [00:01<01:27, 415.68it/s]
packing model.layers.4.self_attn.v_proj:   1%|          | 380/36566 [00:01<01:27, 415.68it/s]
packing model.layers.5.self_attn.v_proj:   1%|          | 381/36566 [00:01<01:27, 415.68it/s]
packing model.layers.6.self_attn.v_proj:   1%|          | 382/36566 [00:01<01:27, 415.68it/s]
packing model.layers.7.self_attn.v_proj:   1%|          | 383/36566 [00:01<01:27, 415.68it/s]
packing model.layers.8.self_attn.v_proj:   1%|          | 384/36566 [00:01<01:27, 415.68it/s]
packing model.layers.9.self_attn.v_proj:   1%|          | 385/36566 [00:01<01:27, 415.68it/s]
packing model.layers.10.self_attn.v_proj:   1%|          | 386/36566 [00:01<01:27, 415.68it/s]
packing model.layers.11.self_attn.v_proj:   1%|          | 387/36566 [00:01<01:27, 415.68it/s]
packing model.layers.12.self_attn.v_proj:   1%|          | 388/36566 [00:01<01:27, 415.68it/s]
packing model.layers.13.self_attn.v_proj:   1%|          | 389/36566 [00:01<01:27, 415.68it/s]
packing model.layers.14.self_attn.v_proj:   1%|          | 390/36566 [00:01<01:27, 415.68it/s]
packing model.layers.15.self_attn.v_proj:   1%|          | 391/36566 [00:01<01:27, 415.68it/s]
packing model.layers.16.self_attn.v_proj:   1%|          | 392/36566 [00:01<01:27, 415.68it/s]
packing model.layers.17.self_attn.v_proj:   1%|          | 393/36566 [00:01<01:27, 415.68it/s]
packing model.layers.18.self_attn.v_proj:   1%|          | 394/36566 [00:01<01:27, 415.68it/s]
packing model.layers.19.self_attn.v_proj:   1%|          | 395/36566 [00:01<01:27, 415.68it/s]
packing model.layers.20.self_attn.v_proj:   1%|          | 396/36566 [00:01<01:27, 415.68it/s]
packing model.layers.21.self_attn.v_proj:   1%|          | 397/36566 [00:01<01:27, 415.68it/s]
packing model.layers.22.self_attn.v_proj:   1%|          | 398/36566 [00:01<01:27, 415.68it/s]
packing model.layers.23.self_attn.v_proj:   1%|          | 399/36566 [00:01<01:27, 415.68it/s]
packing model.layers.24.self_attn.v_proj:   1%|          | 400/36566 [00:01<01:27, 415.68it/s]
packing model.layers.25.self_attn.v_proj:   1%|          | 401/36566 [00:01<01:27, 415.68it/s]
packing model.layers.26.self_attn.v_proj:   1%|          | 402/36566 [00:01<01:27, 415.68it/s]
packing model.layers.27.self_attn.v_proj:   1%|          | 403/36566 [00:01<01:26, 415.68it/s]
packing model.layers.28.self_attn.v_proj:   1%|          | 404/36566 [00:01<01:26, 415.68it/s]
packing model.layers.29.self_attn.v_proj:   1%|          | 405/36566 [00:01<01:26, 415.68it/s]
packing model.layers.30.self_attn.v_proj:   1%|          | 406/36566 [00:01<01:26, 415.68it/s]
packing model.layers.31.self_attn.v_proj:   1%|          | 407/36566 [00:01<01:26, 415.68it/s]
packing model.layers.32.self_attn.v_proj:   1%|          | 408/36566 [00:01<01:26, 415.68it/s]
packing model.layers.33.self_attn.v_proj:   1%|          | 409/36566 [00:01<01:26, 415.68it/s]
packing model.layers.34.self_attn.v_proj:   1%|          | 410/36566 [00:01<01:26, 415.68it/s]
packing model.layers.35.self_attn.v_proj:   1%|          | 411/36566 [00:01<01:26, 415.68it/s]
packing model.layers.36.self_attn.v_proj:   1%|          | 412/36566 [00:01<01:26, 415.68it/s]
packing model.layers.37.self_attn.v_proj:   1%|          | 413/36566 [00:01<01:26, 415.68it/s]
packing model.layers.38.self_attn.v_proj:   1%|          | 414/36566 [00:01<01:26, 415.68it/s]
packing model.layers.39.self_attn.v_proj:   1%|          | 415/36566 [00:01<01:26, 415.68it/s]
packing model.layers.40.self_attn.v_proj:   1%|          | 416/36566 [00:01<01:26, 415.68it/s]
packing model.layers.41.self_attn.v_proj:   1%|          | 417/36566 [00:01<01:26, 415.68it/s]
packing model.layers.42.self_attn.v_proj:   1%|          | 418/36566 [00:01<01:26, 415.68it/s]
packing model.layers.43.self_attn.v_proj:   1%|          | 419/36566 [00:01<01:26, 415.68it/s]
packing model.layers.44.self_attn.v_proj:   1%|          | 420/36566 [00:01<01:26, 415.68it/s]
packing model.layers.45.self_attn.v_proj:   1%|          | 421/36566 [00:01<01:26, 415.68it/s]
packing model.layers.46.self_attn.v_proj:   1%|          | 422/36566 [00:01<01:26, 415.68it/s]
packing model.layers.47.self_attn.v_proj:   1%|          | 423/36566 [00:01<01:26, 415.68it/s]
packing model.layers.48.self_attn.v_proj:   1%|          | 424/36566 [00:01<01:26, 415.68it/s]
packing model.layers.49.self_attn.v_proj:   1%|          | 425/36566 [00:01<01:26, 415.68it/s]
packing model.layers.50.self_attn.v_proj:   1%|          | 426/36566 [00:01<01:26, 415.68it/s]
packing model.layers.51.self_attn.v_proj:   1%|          | 427/36566 [00:01<01:26, 415.68it/s]
packing model.layers.52.self_attn.v_proj:   1%|          | 428/36566 [00:01<01:26, 415.68it/s]
packing model.layers.53.self_attn.v_proj:   1%|          | 429/36566 [00:01<01:26, 415.68it/s]
packing model.layers.54.self_attn.v_proj:   1%|          | 430/36566 [00:01<01:26, 415.68it/s]
packing model.layers.55.self_attn.v_proj:   1%|          | 431/36566 [00:01<01:26, 415.68it/s]
packing model.layers.56.self_attn.v_proj:   1%|          | 432/36566 [00:01<01:26, 415.68it/s]
packing model.layers.57.self_attn.v_proj:   1%|          | 433/36566 [00:01<01:26, 415.68it/s]
packing model.layers.58.self_attn.v_proj:   1%|          | 434/36566 [00:01<01:26, 415.68it/s]
packing model.layers.59.self_attn.v_proj:   1%|          | 435/36566 [00:01<01:26, 415.68it/s]
packing model.layers.60.self_attn.v_proj:   1%|          | 436/36566 [00:01<01:26, 415.68it/s]
packing model.layers.61.self_attn.v_proj:   1%|          | 437/36566 [00:01<01:26, 415.68it/s]
packing model.layers.62.self_attn.v_proj:   1%|          | 438/36566 [00:01<01:26, 415.68it/s]
packing model.layers.63.self_attn.v_proj:   1%|          | 439/36566 [00:01<01:26, 415.68it/s]
packing model.layers.64.self_attn.v_proj:   1%|          | 440/36566 [00:01<01:26, 415.68it/s]
packing model.layers.65.self_attn.v_proj:   1%|          | 441/36566 [00:01<01:26, 415.68it/s]
packing model.layers.66.self_attn.v_proj:   1%|          | 442/36566 [00:01<01:26, 415.68it/s]
packing model.layers.67.self_attn.v_proj:   1%|          | 443/36566 [00:01<01:26, 415.68it/s]
packing model.layers.68.self_attn.v_proj:   1%|          | 444/36566 [00:01<01:26, 415.68it/s]
packing model.layers.69.self_attn.v_proj:   1%|          | 445/36566 [00:01<01:26, 415.68it/s]
packing model.layers.70.self_attn.v_proj:   1%|          | 446/36566 [00:01<01:26, 415.68it/s]
packing model.layers.71.self_attn.v_proj:   1%|          | 447/36566 [00:01<01:26, 415.68it/s]
packing model.layers.72.self_attn.v_proj:   1%|          | 448/36566 [00:01<01:26, 415.68it/s]
packing model.layers.73.self_attn.v_proj:   1%|          | 449/36566 [00:01<01:26, 415.68it/s]
packing model.layers.74.self_attn.v_proj:   1%|          | 450/36566 [00:01<01:26, 415.68it/s]
packing model.layers.75.self_attn.v_proj:   1%|          | 451/36566 [00:01<01:26, 415.68it/s]
packing model.layers.76.self_attn.v_proj:   1%|          | 452/36566 [00:01<01:26, 415.68it/s]
packing model.layers.77.self_attn.v_proj:   1%|          | 453/36566 [00:01<01:26, 415.68it/s]
packing model.layers.78.self_attn.v_proj:   1%|          | 454/36566 [00:01<01:26, 415.68it/s]
packing model.layers.79.self_attn.v_proj:   1%|          | 455/36566 [00:01<01:26, 415.68it/s]
packing model.layers.80.self_attn.v_proj:   1%|          | 456/36566 [00:01<01:26, 415.68it/s]
packing model.layers.81.self_attn.v_proj:   1%|          | 457/36566 [00:01<01:26, 415.68it/s]
packing model.layers.82.self_attn.v_proj:   1%|▏         | 458/36566 [00:01<01:26, 415.68it/s]
packing model.layers.83.self_attn.v_proj:   1%|▏         | 459/36566 [00:01<01:26, 415.68it/s]
packing model.layers.84.self_attn.v_proj:   1%|▏         | 460/36566 [00:01<01:26, 415.68it/s]
packing model.layers.85.self_attn.v_proj:   1%|▏         | 461/36566 [00:01<01:26, 415.68it/s]
packing model.layers.86.self_attn.v_proj:   1%|▏         | 462/36566 [00:01<01:26, 415.68it/s]
packing model.layers.87.self_attn.v_proj:   1%|▏         | 463/36566 [00:01<01:26, 415.68it/s]
packing model.layers.88.self_attn.v_proj:   1%|▏         | 464/36566 [00:01<01:26, 415.68it/s]
packing model.layers.89.self_attn.v_proj:   1%|▏         | 465/36566 [00:01<01:26, 415.68it/s]
packing model.layers.89.self_attn.v_proj:   1%|▏         | 466/36566 [00:01<01:04, 557.48it/s]
packing model.layers.90.self_attn.v_proj:   1%|▏         | 466/36566 [00:01<01:04, 557.48it/s]
packing model.layers.91.self_attn.v_proj:   1%|▏         | 467/36566 [00:01<01:04, 557.48it/s]
packing model.layers.92.self_attn.v_proj:   1%|▏         | 468/36566 [00:01<01:04, 557.48it/s]
packing model.layers.93.self_attn.v_proj:   1%|▏         | 469/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.0.gate_proj:   1%|▏         | 470/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.0.up_proj:   1%|▏         | 471/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.0.down_proj:   1%|▏         | 472/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.1.gate_proj:   1%|▏         | 473/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.1.up_proj:   1%|▏         | 474/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.1.down_proj:   1%|▏         | 475/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.2.gate_proj:   1%|▏         | 476/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.2.up_proj:   1%|▏         | 477/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.2.down_proj:   1%|▏         | 478/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.3.gate_proj:   1%|▏         | 479/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.3.up_proj:   1%|▏         | 480/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.3.down_proj:   1%|▏         | 481/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.4.gate_proj:   1%|▏         | 482/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.4.up_proj:   1%|▏         | 483/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.4.down_proj:   1%|▏         | 484/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.5.gate_proj:   1%|▏         | 485/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.5.up_proj:   1%|▏         | 486/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.5.down_proj:   1%|▏         | 487/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.6.gate_proj:   1%|▏         | 488/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.6.up_proj:   1%|▏         | 489/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.6.down_proj:   1%|▏         | 490/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.7.gate_proj:   1%|▏         | 491/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.7.up_proj:   1%|▏         | 492/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.7.down_proj:   1%|▏         | 493/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.8.gate_proj:   1%|▏         | 494/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.8.up_proj:   1%|▏         | 495/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.8.down_proj:   1%|▏         | 496/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.9.gate_proj:   1%|▏         | 497/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.9.up_proj:   1%|▏         | 498/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.9.down_proj:   1%|▏         | 499/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.10.gate_proj:   1%|▏         | 500/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.10.up_proj:   1%|▏         | 501/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.10.down_proj:   1%|▏         | 502/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.11.gate_proj:   1%|▏         | 503/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.11.up_proj:   1%|▏         | 504/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.11.down_proj:   1%|▏         | 505/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.12.gate_proj:   1%|▏         | 506/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.12.up_proj:   1%|▏         | 507/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.12.down_proj:   1%|▏         | 508/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.13.gate_proj:   1%|▏         | 509/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.13.up_proj:   1%|▏         | 510/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.13.down_proj:   1%|▏         | 511/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.14.gate_proj:   1%|▏         | 512/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.14.up_proj:   1%|▏         | 513/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.14.down_proj:   1%|▏         | 514/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.15.gate_proj:   1%|▏         | 515/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.15.up_proj:   1%|▏         | 516/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.15.down_proj:   1%|▏         | 517/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.16.gate_proj:   1%|▏         | 518/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.16.up_proj:   1%|▏         | 519/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.16.down_proj:   1%|▏         | 520/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.17.gate_proj:   1%|▏         | 521/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.17.up_proj:   1%|▏         | 522/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.17.down_proj:   1%|▏         | 523/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.18.gate_proj:   1%|▏         | 524/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.18.up_proj:   1%|▏         | 525/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.18.down_proj:   1%|▏         | 526/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.19.gate_proj:   1%|▏         | 527/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.19.up_proj:   1%|▏         | 528/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.19.down_proj:   1%|▏         | 529/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.20.gate_proj:   1%|▏         | 530/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.20.up_proj:   1%|▏         | 531/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.20.down_proj:   1%|▏         | 532/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.21.gate_proj:   1%|▏         | 533/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.21.up_proj:   1%|▏         | 534/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.21.down_proj:   1%|▏         | 535/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.22.gate_proj:   1%|▏         | 536/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.22.up_proj:   1%|▏         | 537/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.22.down_proj:   1%|▏         | 538/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.23.gate_proj:   1%|▏         | 539/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.23.up_proj:   1%|▏         | 540/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.23.down_proj:   1%|▏         | 541/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.24.gate_proj:   1%|▏         | 542/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.24.up_proj:   1%|▏         | 543/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.24.down_proj:   1%|▏         | 544/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.25.gate_proj:   1%|▏         | 545/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.25.up_proj:   1%|▏         | 546/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.25.down_proj:   1%|▏         | 547/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.26.gate_proj:   1%|▏         | 548/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.26.up_proj:   2%|▏         | 549/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.26.down_proj:   2%|▏         | 550/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.27.gate_proj:   2%|▏         | 551/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.27.up_proj:   2%|▏         | 552/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.27.down_proj:   2%|▏         | 553/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.28.gate_proj:   2%|▏         | 554/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.28.up_proj:   2%|▏         | 555/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.28.down_proj:   2%|▏         | 556/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.29.gate_proj:   2%|▏         | 557/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.29.up_proj:   2%|▏         | 558/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.29.down_proj:   2%|▏         | 559/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.30.gate_proj:   2%|▏         | 560/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.30.up_proj:   2%|▏         | 561/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.30.down_proj:   2%|▏         | 562/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.31.gate_proj:   2%|▏         | 563/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.31.up_proj:   2%|▏         | 564/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.31.down_proj:   2%|▏         | 565/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.32.gate_proj:   2%|▏         | 566/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.32.up_proj:   2%|▏         | 567/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.32.down_proj:   2%|▏         | 568/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.33.gate_proj:   2%|▏         | 569/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.33.up_proj:   2%|▏         | 570/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.33.down_proj:   2%|▏         | 571/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.34.gate_proj:   2%|▏         | 572/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.34.up_proj:   2%|▏         | 573/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.34.down_proj:   2%|▏         | 574/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.35.gate_proj:   2%|▏         | 575/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.35.up_proj:   2%|▏         | 576/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.35.down_proj:   2%|▏         | 577/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.36.gate_proj:   2%|▏         | 578/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.36.up_proj:   2%|▏         | 579/36566 [00:01<01:04, 557.48it/s]  
packing model.layers.0.mlp.experts.36.down_proj:   2%|▏         | 580/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.37.gate_proj:   2%|▏         | 581/36566 [00:01<01:04, 557.48it/s]
packing model.layers.0.mlp.experts.37.gate_proj:   2%|▏         | 582/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.37.up_proj:   2%|▏         | 582/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.37.down_proj:   2%|▏         | 583/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.38.gate_proj:   2%|▏         | 584/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.38.up_proj:   2%|▏         | 585/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.38.down_proj:   2%|▏         | 586/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.39.gate_proj:   2%|▏         | 587/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.39.up_proj:   2%|▏         | 588/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.39.down_proj:   2%|▏         | 589/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.40.gate_proj:   2%|▏         | 590/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.40.up_proj:   2%|▏         | 591/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.40.down_proj:   2%|▏         | 592/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.41.gate_proj:   2%|▏         | 593/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.41.up_proj:   2%|▏         | 594/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.41.down_proj:   2%|▏         | 595/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.42.gate_proj:   2%|▏         | 596/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.42.up_proj:   2%|▏         | 597/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.42.down_proj:   2%|▏         | 598/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.43.gate_proj:   2%|▏         | 599/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.43.up_proj:   2%|▏         | 600/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.43.down_proj:   2%|▏         | 601/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.44.gate_proj:   2%|▏         | 602/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.44.up_proj:   2%|▏         | 603/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.44.down_proj:   2%|▏         | 604/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.45.gate_proj:   2%|▏         | 605/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.45.up_proj:   2%|▏         | 606/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.45.down_proj:   2%|▏         | 607/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.46.gate_proj:   2%|▏         | 608/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.46.up_proj:   2%|▏         | 609/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.46.down_proj:   2%|▏         | 610/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.47.gate_proj:   2%|▏         | 611/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.47.up_proj:   2%|▏         | 612/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.47.down_proj:   2%|▏         | 613/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.48.gate_proj:   2%|▏         | 614/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.48.up_proj:   2%|▏         | 615/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.48.down_proj:   2%|▏         | 616/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.49.gate_proj:   2%|▏         | 617/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.49.up_proj:   2%|▏         | 618/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.49.down_proj:   2%|▏         | 619/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.50.gate_proj:   2%|▏         | 620/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.50.up_proj:   2%|▏         | 621/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.50.down_proj:   2%|▏         | 622/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.51.gate_proj:   2%|▏         | 623/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.51.up_proj:   2%|▏         | 624/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.51.down_proj:   2%|▏         | 625/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.52.gate_proj:   2%|▏         | 626/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.52.up_proj:   2%|▏         | 627/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.52.down_proj:   2%|▏         | 628/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.53.gate_proj:   2%|▏         | 629/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.53.up_proj:   2%|▏         | 630/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.53.down_proj:   2%|▏         | 631/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.54.gate_proj:   2%|▏         | 632/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.54.up_proj:   2%|▏         | 633/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.54.down_proj:   2%|▏         | 634/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.55.gate_proj:   2%|▏         | 635/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.55.up_proj:   2%|▏         | 636/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.55.down_proj:   2%|▏         | 637/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.56.gate_proj:   2%|▏         | 638/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.56.up_proj:   2%|▏         | 639/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.56.down_proj:   2%|▏         | 640/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.57.gate_proj:   2%|▏         | 641/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.57.up_proj:   2%|▏         | 642/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.57.down_proj:   2%|▏         | 643/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.58.gate_proj:   2%|▏         | 644/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.58.up_proj:   2%|▏         | 645/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.58.down_proj:   2%|▏         | 646/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.59.gate_proj:   2%|▏         | 647/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.59.up_proj:   2%|▏         | 648/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.59.down_proj:   2%|▏         | 649/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.60.gate_proj:   2%|▏         | 650/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.60.up_proj:   2%|▏         | 651/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.60.down_proj:   2%|▏         | 652/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.61.gate_proj:   2%|▏         | 653/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.61.up_proj:   2%|▏         | 654/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.61.down_proj:   2%|▏         | 655/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.62.gate_proj:   2%|▏         | 656/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.62.up_proj:   2%|▏         | 657/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.62.down_proj:   2%|▏         | 658/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.63.gate_proj:   2%|▏         | 659/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.63.up_proj:   2%|▏         | 660/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.63.down_proj:   2%|▏         | 661/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.64.gate_proj:   2%|▏         | 662/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.64.up_proj:   2%|▏         | 663/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.64.down_proj:   2%|▏         | 664/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.65.gate_proj:   2%|▏         | 665/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.65.up_proj:   2%|▏         | 666/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.65.down_proj:   2%|▏         | 667/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.66.gate_proj:   2%|▏         | 668/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.66.up_proj:   2%|▏         | 669/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.66.down_proj:   2%|▏         | 670/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.67.gate_proj:   2%|▏         | 671/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.67.up_proj:   2%|▏         | 672/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.67.down_proj:   2%|▏         | 673/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.68.gate_proj:   2%|▏         | 674/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.68.up_proj:   2%|▏         | 675/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.68.down_proj:   2%|▏         | 676/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.69.gate_proj:   2%|▏         | 677/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.69.up_proj:   2%|▏         | 678/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.69.down_proj:   2%|▏         | 679/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.70.gate_proj:   2%|▏         | 680/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.70.up_proj:   2%|▏         | 681/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.70.down_proj:   2%|▏         | 682/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.71.gate_proj:   2%|▏         | 683/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.71.up_proj:   2%|▏         | 684/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.71.down_proj:   2%|▏         | 685/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.72.gate_proj:   2%|▏         | 686/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.72.up_proj:   2%|▏         | 687/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.72.down_proj:   2%|▏         | 688/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.73.gate_proj:   2%|▏         | 689/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.73.up_proj:   2%|▏         | 690/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.73.down_proj:   2%|▏         | 691/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.74.gate_proj:   2%|▏         | 692/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.74.up_proj:   2%|▏         | 693/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.74.down_proj:   2%|▏         | 694/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.75.gate_proj:   2%|▏         | 695/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.75.up_proj:   2%|▏         | 696/36566 [00:01<00:52, 685.28it/s]  
packing model.layers.0.mlp.experts.75.down_proj:   2%|▏         | 697/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.76.gate_proj:   2%|▏         | 698/36566 [00:01<00:52, 685.28it/s]
packing model.layers.0.mlp.experts.76.gate_proj:   2%|▏         | 699/36566 [00:01<00:45, 797.02it/s]
packing model.layers.0.mlp.experts.76.up_proj:   2%|▏         | 699/36566 [00:01<00:45, 797.02it/s]  
packing model.layers.0.mlp.experts.76.down_proj:   2%|▏         | 700/36566 [00:01<00:45, 797.02it/s]
packing model.layers.0.mlp.experts.77.gate_proj:   2%|▏         | 701/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.77.up_proj:   2%|▏         | 702/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.77.down_proj:   2%|▏         | 703/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.78.gate_proj:   2%|▏         | 704/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.78.up_proj:   2%|▏         | 705/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.78.down_proj:   2%|▏         | 706/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.79.gate_proj:   2%|▏         | 707/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.79.up_proj:   2%|▏         | 708/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.79.down_proj:   2%|▏         | 709/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.80.gate_proj:   2%|▏         | 710/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.80.up_proj:   2%|▏         | 711/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.80.down_proj:   2%|▏         | 712/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.81.gate_proj:   2%|▏         | 713/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.81.up_proj:   2%|▏         | 714/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.81.down_proj:   2%|▏         | 715/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.82.gate_proj:   2%|▏         | 716/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.82.up_proj:   2%|▏         | 717/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.82.down_proj:   2%|▏         | 718/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.83.gate_proj:   2%|▏         | 719/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.83.up_proj:   2%|▏         | 720/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.83.down_proj:   2%|▏         | 721/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.84.gate_proj:   2%|▏         | 722/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.84.up_proj:   2%|▏         | 723/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.84.down_proj:   2%|▏         | 724/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.85.gate_proj:   2%|▏         | 725/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.85.up_proj:   2%|▏         | 726/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.85.down_proj:   2%|▏         | 727/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.86.gate_proj:   2%|▏         | 728/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.86.up_proj:   2%|▏         | 729/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.86.down_proj:   2%|▏         | 730/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.87.gate_proj:   2%|▏         | 731/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.87.up_proj:   2%|▏         | 732/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.87.down_proj:   2%|▏         | 733/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.88.gate_proj:   2%|▏         | 734/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.88.up_proj:   2%|▏         | 735/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.88.down_proj:   2%|▏         | 736/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.89.gate_proj:   2%|▏         | 737/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.89.up_proj:   2%|▏         | 738/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.89.down_proj:   2%|▏         | 739/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.90.gate_proj:   2%|▏         | 740/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.90.up_proj:   2%|▏         | 741/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.90.down_proj:   2%|▏         | 742/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.91.gate_proj:   2%|▏         | 743/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.91.up_proj:   2%|▏         | 744/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.91.down_proj:   2%|▏         | 745/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.92.gate_proj:   2%|▏         | 746/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.92.up_proj:   2%|▏         | 747/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.92.down_proj:   2%|▏         | 748/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.93.gate_proj:   2%|▏         | 749/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.93.up_proj:   2%|▏         | 750/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.93.down_proj:   2%|▏         | 751/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.94.gate_proj:   2%|▏         | 752/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.94.up_proj:   2%|▏         | 753/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.94.down_proj:   2%|▏         | 754/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.95.gate_proj:   2%|▏         | 755/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.95.up_proj:   2%|▏         | 756/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.95.down_proj:   2%|▏         | 757/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.96.gate_proj:   2%|▏         | 758/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.96.up_proj:   2%|▏         | 759/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.96.down_proj:   2%|▏         | 760/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.97.gate_proj:   2%|▏         | 761/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.97.up_proj:   2%|▏         | 762/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.97.down_proj:   2%|▏         | 763/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.98.gate_proj:   2%|▏         | 764/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.98.up_proj:   2%|▏         | 765/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.98.down_proj:   2%|▏         | 766/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.99.gate_proj:   2%|▏         | 767/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.99.up_proj:   2%|▏         | 768/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.99.down_proj:   2%|▏         | 769/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.100.gate_proj:   2%|▏         | 770/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.100.up_proj:   2%|▏         | 771/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.100.down_proj:   2%|▏         | 772/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.101.gate_proj:   2%|▏         | 773/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.101.up_proj:   2%|▏         | 774/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.101.down_proj:   2%|▏         | 775/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.102.gate_proj:   2%|▏         | 776/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.102.up_proj:   2%|▏         | 777/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.102.down_proj:   2%|▏         | 778/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.103.gate_proj:   2%|▏         | 779/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.103.up_proj:   2%|▏         | 780/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.103.down_proj:   2%|▏         | 781/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.104.gate_proj:   2%|▏         | 782/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.104.up_proj:   2%|▏         | 783/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.104.down_proj:   2%|▏         | 784/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.105.gate_proj:   2%|▏         | 785/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.105.up_proj:   2%|▏         | 786/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.105.down_proj:   2%|▏         | 787/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.106.gate_proj:   2%|▏         | 788/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.106.up_proj:   2%|▏         | 789/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.106.down_proj:   2%|▏         | 790/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.107.gate_proj:   2%|▏         | 791/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.107.up_proj:   2%|▏         | 792/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.107.down_proj:   2%|▏         | 793/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.108.gate_proj:   2%|▏         | 794/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.108.up_proj:   2%|▏         | 795/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.108.down_proj:   2%|▏         | 796/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.109.gate_proj:   2%|▏         | 797/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.109.up_proj:   2%|▏         | 798/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.109.down_proj:   2%|▏         | 799/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.110.gate_proj:   2%|▏         | 800/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.110.up_proj:   2%|▏         | 801/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.110.down_proj:   2%|▏         | 802/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.111.gate_proj:   2%|▏         | 803/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.111.up_proj:   2%|▏         | 804/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.111.down_proj:   2%|▏         | 805/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.112.gate_proj:   2%|▏         | 806/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.112.up_proj:   2%|▏         | 807/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.112.down_proj:   2%|▏         | 808/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.113.gate_proj:   2%|▏         | 809/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.113.up_proj:   2%|▏         | 810/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.113.down_proj:   2%|▏         | 811/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.114.gate_proj:   2%|▏         | 812/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.114.up_proj:   2%|▏         | 813/36566 [00:01<00:44, 797.02it/s]  
packing model.layers.0.mlp.experts.114.down_proj:   2%|▏         | 814/36566 [00:01<00:44, 797.02it/s]
packing model.layers.0.mlp.experts.114.down_proj:   2%|▏         | 815/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.115.gate_proj:   2%|▏         | 815/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.115.up_proj:   2%|▏         | 816/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.0.mlp.experts.115.down_proj:   2%|▏         | 817/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.116.gate_proj:   2%|▏         | 818/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.116.up_proj:   2%|▏         | 819/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.0.mlp.experts.116.down_proj:   2%|▏         | 820/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.117.gate_proj:   2%|▏         | 821/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.117.up_proj:   2%|▏         | 822/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.0.mlp.experts.117.down_proj:   2%|▏         | 823/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.118.gate_proj:   2%|▏         | 824/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.118.up_proj:   2%|▏         | 825/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.0.mlp.experts.118.down_proj:   2%|▏         | 826/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.119.gate_proj:   2%|▏         | 827/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.119.up_proj:   2%|▏         | 828/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.0.mlp.experts.119.down_proj:   2%|▏         | 829/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.120.gate_proj:   2%|▏         | 830/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.120.up_proj:   2%|▏         | 831/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.0.mlp.experts.120.down_proj:   2%|▏         | 832/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.121.gate_proj:   2%|▏         | 833/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.121.up_proj:   2%|▏         | 834/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.0.mlp.experts.121.down_proj:   2%|▏         | 835/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.122.gate_proj:   2%|▏         | 836/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.122.up_proj:   2%|▏         | 837/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.0.mlp.experts.122.down_proj:   2%|▏         | 838/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.123.gate_proj:   2%|▏         | 839/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.123.up_proj:   2%|▏         | 840/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.0.mlp.experts.123.down_proj:   2%|▏         | 841/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.124.gate_proj:   2%|▏         | 842/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.124.up_proj:   2%|▏         | 843/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.0.mlp.experts.124.down_proj:   2%|▏         | 844/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.125.gate_proj:   2%|▏         | 845/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.125.up_proj:   2%|▏         | 846/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.0.mlp.experts.125.down_proj:   2%|▏         | 847/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.126.gate_proj:   2%|▏         | 848/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.126.up_proj:   2%|▏         | 849/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.0.mlp.experts.126.down_proj:   2%|▏         | 850/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.127.gate_proj:   2%|▏         | 851/36566 [00:01<00:40, 886.78it/s]
packing model.layers.0.mlp.experts.127.up_proj:   2%|▏         | 852/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.0.mlp.experts.127.down_proj:   2%|▏         | 853/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.0.gate_proj:   2%|▏         | 854/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.0.up_proj:   2%|▏         | 855/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.0.down_proj:   2%|▏         | 856/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.1.gate_proj:   2%|▏         | 857/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.1.up_proj:   2%|▏         | 858/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.1.down_proj:   2%|▏         | 859/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.2.gate_proj:   2%|▏         | 860/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.2.up_proj:   2%|▏         | 861/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.2.down_proj:   2%|▏         | 862/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.3.gate_proj:   2%|▏         | 863/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.3.up_proj:   2%|▏         | 864/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.3.down_proj:   2%|▏         | 865/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.4.gate_proj:   2%|▏         | 866/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.4.up_proj:   2%|▏         | 867/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.4.down_proj:   2%|▏         | 868/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.5.gate_proj:   2%|▏         | 869/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.5.up_proj:   2%|▏         | 870/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.5.down_proj:   2%|▏         | 871/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.6.gate_proj:   2%|▏         | 872/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.6.up_proj:   2%|▏         | 873/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.6.down_proj:   2%|▏         | 874/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.7.gate_proj:   2%|▏         | 875/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.7.up_proj:   2%|▏         | 876/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.7.down_proj:   2%|▏         | 877/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.8.gate_proj:   2%|▏         | 878/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.8.up_proj:   2%|▏         | 879/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.8.down_proj:   2%|▏         | 880/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.9.gate_proj:   2%|▏         | 881/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.9.up_proj:   2%|▏         | 882/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.9.down_proj:   2%|▏         | 883/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.10.gate_proj:   2%|▏         | 884/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.10.up_proj:   2%|▏         | 885/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.10.down_proj:   2%|▏         | 886/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.11.gate_proj:   2%|▏         | 887/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.11.up_proj:   2%|▏         | 888/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.11.down_proj:   2%|▏         | 889/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.12.gate_proj:   2%|▏         | 890/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.12.up_proj:   2%|▏         | 891/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.12.down_proj:   2%|▏         | 892/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.13.gate_proj:   2%|▏         | 893/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.13.up_proj:   2%|▏         | 894/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.13.down_proj:   2%|▏         | 895/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.14.gate_proj:   2%|▏         | 896/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.14.up_proj:   2%|▏         | 897/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.14.down_proj:   2%|▏         | 898/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.15.gate_proj:   2%|▏         | 899/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.15.up_proj:   2%|▏         | 900/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.15.down_proj:   2%|▏         | 901/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.16.gate_proj:   2%|▏         | 902/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.16.up_proj:   2%|▏         | 903/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.16.down_proj:   2%|▏         | 904/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.17.gate_proj:   2%|▏         | 905/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.17.up_proj:   2%|▏         | 906/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.17.down_proj:   2%|▏         | 907/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.18.gate_proj:   2%|▏         | 908/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.18.up_proj:   2%|▏         | 909/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.18.down_proj:   2%|▏         | 910/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.19.gate_proj:   2%|▏         | 911/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.19.up_proj:   2%|▏         | 912/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.19.down_proj:   2%|▏         | 913/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.20.gate_proj:   2%|▏         | 914/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.20.up_proj:   3%|▎         | 915/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.20.down_proj:   3%|▎         | 916/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.21.gate_proj:   3%|▎         | 917/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.21.up_proj:   3%|▎         | 918/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.21.down_proj:   3%|▎         | 919/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.22.gate_proj:   3%|▎         | 920/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.22.up_proj:   3%|▎         | 921/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.22.down_proj:   3%|▎         | 922/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.23.gate_proj:   3%|▎         | 923/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.23.up_proj:   3%|▎         | 924/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.23.down_proj:   3%|▎         | 925/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.24.gate_proj:   3%|▎         | 926/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.24.up_proj:   3%|▎         | 927/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.24.down_proj:   3%|▎         | 928/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.25.gate_proj:   3%|▎         | 929/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.25.up_proj:   3%|▎         | 930/36566 [00:01<00:40, 886.78it/s]  
packing model.layers.1.mlp.experts.25.down_proj:   3%|▎         | 931/36566 [00:01<00:40, 886.78it/s]
packing model.layers.1.mlp.experts.25.down_proj:   3%|▎         | 932/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.26.gate_proj:   3%|▎         | 932/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.26.up_proj:   3%|▎         | 933/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.26.down_proj:   3%|▎         | 934/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.27.gate_proj:   3%|▎         | 935/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.27.up_proj:   3%|▎         | 936/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.27.down_proj:   3%|▎         | 937/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.28.gate_proj:   3%|▎         | 938/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.28.up_proj:   3%|▎         | 939/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.28.down_proj:   3%|▎         | 940/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.29.gate_proj:   3%|▎         | 941/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.29.up_proj:   3%|▎         | 942/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.29.down_proj:   3%|▎         | 943/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.30.gate_proj:   3%|▎         | 944/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.30.up_proj:   3%|▎         | 945/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.30.down_proj:   3%|▎         | 946/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.31.gate_proj:   3%|▎         | 947/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.31.up_proj:   3%|▎         | 948/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.31.down_proj:   3%|▎         | 949/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.32.gate_proj:   3%|▎         | 950/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.32.up_proj:   3%|▎         | 951/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.32.down_proj:   3%|▎         | 952/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.33.gate_proj:   3%|▎         | 953/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.33.up_proj:   3%|▎         | 954/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.33.down_proj:   3%|▎         | 955/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.34.gate_proj:   3%|▎         | 956/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.34.up_proj:   3%|▎         | 957/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.34.down_proj:   3%|▎         | 958/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.35.gate_proj:   3%|▎         | 959/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.35.up_proj:   3%|▎         | 960/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.35.down_proj:   3%|▎         | 961/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.36.gate_proj:   3%|▎         | 962/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.36.up_proj:   3%|▎         | 963/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.36.down_proj:   3%|▎         | 964/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.37.gate_proj:   3%|▎         | 965/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.37.up_proj:   3%|▎         | 966/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.37.down_proj:   3%|▎         | 967/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.38.gate_proj:   3%|▎         | 968/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.38.up_proj:   3%|▎         | 969/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.38.down_proj:   3%|▎         | 970/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.39.gate_proj:   3%|▎         | 971/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.39.up_proj:   3%|▎         | 972/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.39.down_proj:   3%|▎         | 973/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.40.gate_proj:   3%|▎         | 974/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.40.up_proj:   3%|▎         | 975/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.40.down_proj:   3%|▎         | 976/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.41.gate_proj:   3%|▎         | 977/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.41.up_proj:   3%|▎         | 978/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.41.down_proj:   3%|▎         | 979/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.42.gate_proj:   3%|▎         | 980/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.42.up_proj:   3%|▎         | 981/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.42.down_proj:   3%|▎         | 982/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.43.gate_proj:   3%|▎         | 983/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.43.up_proj:   3%|▎         | 984/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.43.down_proj:   3%|▎         | 985/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.44.gate_proj:   3%|▎         | 986/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.44.up_proj:   3%|▎         | 987/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.44.down_proj:   3%|▎         | 988/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.45.gate_proj:   3%|▎         | 989/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.45.up_proj:   3%|▎         | 990/36566 [00:01<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.45.down_proj:   3%|▎         | 991/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.46.gate_proj:   3%|▎         | 992/36566 [00:01<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.46.up_proj:   3%|▎         | 993/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.46.down_proj:   3%|▎         | 994/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.47.gate_proj:   3%|▎         | 995/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.47.up_proj:   3%|▎         | 996/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.47.down_proj:   3%|▎         | 997/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.48.gate_proj:   3%|▎         | 998/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.48.up_proj:   3%|▎         | 999/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.48.down_proj:   3%|▎         | 1000/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.49.gate_proj:   3%|▎         | 1001/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.49.up_proj:   3%|▎         | 1002/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.49.down_proj:   3%|▎         | 1003/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.50.gate_proj:   3%|▎         | 1004/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.50.up_proj:   3%|▎         | 1005/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.50.down_proj:   3%|▎         | 1006/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.51.gate_proj:   3%|▎         | 1007/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.51.up_proj:   3%|▎         | 1008/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.51.down_proj:   3%|▎         | 1009/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.52.gate_proj:   3%|▎         | 1010/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.52.up_proj:   3%|▎         | 1011/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.52.down_proj:   3%|▎         | 1012/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.53.gate_proj:   3%|▎         | 1013/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.53.up_proj:   3%|▎         | 1014/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.53.down_proj:   3%|▎         | 1015/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.54.gate_proj:   3%|▎         | 1016/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.54.up_proj:   3%|▎         | 1017/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.54.down_proj:   3%|▎         | 1018/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.55.gate_proj:   3%|▎         | 1019/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.55.up_proj:   3%|▎         | 1020/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.55.down_proj:   3%|▎         | 1021/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.56.gate_proj:   3%|▎         | 1022/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.56.up_proj:   3%|▎         | 1023/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.56.down_proj:   3%|▎         | 1024/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.57.gate_proj:   3%|▎         | 1025/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.57.up_proj:   3%|▎         | 1026/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.57.down_proj:   3%|▎         | 1027/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.58.gate_proj:   3%|▎         | 1028/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.58.up_proj:   3%|▎         | 1029/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.58.down_proj:   3%|▎         | 1030/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.59.gate_proj:   3%|▎         | 1031/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.59.up_proj:   3%|▎         | 1032/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.59.down_proj:   3%|▎         | 1033/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.60.gate_proj:   3%|▎         | 1034/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.60.up_proj:   3%|▎         | 1035/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.60.down_proj:   3%|▎         | 1036/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.61.gate_proj:   3%|▎         | 1037/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.61.up_proj:   3%|▎         | 1038/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.61.down_proj:   3%|▎         | 1039/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.62.gate_proj:   3%|▎         | 1040/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.62.up_proj:   3%|▎         | 1041/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.62.down_proj:   3%|▎         | 1042/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.63.gate_proj:   3%|▎         | 1043/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.63.up_proj:   3%|▎         | 1044/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.63.down_proj:   3%|▎         | 1045/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.64.gate_proj:   3%|▎         | 1046/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.64.up_proj:   3%|▎         | 1047/36566 [00:02<00:37, 959.54it/s]  
packing model.layers.1.mlp.experts.64.down_proj:   3%|▎         | 1048/36566 [00:02<00:37, 959.54it/s]
packing model.layers.1.mlp.experts.64.down_proj:   3%|▎         | 1049/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.65.gate_proj:   3%|▎         | 1049/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.65.up_proj:   3%|▎         | 1050/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.65.down_proj:   3%|▎         | 1051/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.66.gate_proj:   3%|▎         | 1052/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.66.up_proj:   3%|▎         | 1053/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.66.down_proj:   3%|▎         | 1054/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.67.gate_proj:   3%|▎         | 1055/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.67.up_proj:   3%|▎         | 1056/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.67.down_proj:   3%|▎         | 1057/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.68.gate_proj:   3%|▎         | 1058/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.68.up_proj:   3%|▎         | 1059/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.68.down_proj:   3%|▎         | 1060/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.69.gate_proj:   3%|▎         | 1061/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.69.up_proj:   3%|▎         | 1062/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.69.down_proj:   3%|▎         | 1063/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.70.gate_proj:   3%|▎         | 1064/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.70.up_proj:   3%|▎         | 1065/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.70.down_proj:   3%|▎         | 1066/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.71.gate_proj:   3%|▎         | 1067/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.71.up_proj:   3%|▎         | 1068/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.71.down_proj:   3%|▎         | 1069/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.72.gate_proj:   3%|▎         | 1070/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.72.up_proj:   3%|▎         | 1071/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.72.down_proj:   3%|▎         | 1072/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.73.gate_proj:   3%|▎         | 1073/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.73.up_proj:   3%|▎         | 1074/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.73.down_proj:   3%|▎         | 1075/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.74.gate_proj:   3%|▎         | 1076/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.74.up_proj:   3%|▎         | 1077/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.74.down_proj:   3%|▎         | 1078/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.75.gate_proj:   3%|▎         | 1079/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.75.up_proj:   3%|▎         | 1080/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.75.down_proj:   3%|▎         | 1081/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.76.gate_proj:   3%|▎         | 1082/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.76.up_proj:   3%|▎         | 1083/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.76.down_proj:   3%|▎         | 1084/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.77.gate_proj:   3%|▎         | 1085/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.77.up_proj:   3%|▎         | 1086/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.77.down_proj:   3%|▎         | 1087/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.78.gate_proj:   3%|▎         | 1088/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.78.up_proj:   3%|▎         | 1089/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.78.down_proj:   3%|▎         | 1090/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.79.gate_proj:   3%|▎         | 1091/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.79.up_proj:   3%|▎         | 1092/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.79.down_proj:   3%|▎         | 1093/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.80.gate_proj:   3%|▎         | 1094/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.80.up_proj:   3%|▎         | 1095/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.80.down_proj:   3%|▎         | 1096/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.81.gate_proj:   3%|▎         | 1097/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.81.up_proj:   3%|▎         | 1098/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.81.down_proj:   3%|▎         | 1099/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.82.gate_proj:   3%|▎         | 1100/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.82.up_proj:   3%|▎         | 1101/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.82.down_proj:   3%|▎         | 1102/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.83.gate_proj:   3%|▎         | 1103/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.83.up_proj:   3%|▎         | 1104/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.83.down_proj:   3%|▎         | 1105/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.84.gate_proj:   3%|▎         | 1106/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.84.up_proj:   3%|▎         | 1107/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.84.down_proj:   3%|▎         | 1108/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.85.gate_proj:   3%|▎         | 1109/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.85.up_proj:   3%|▎         | 1110/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.85.down_proj:   3%|▎         | 1111/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.86.gate_proj:   3%|▎         | 1112/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.86.up_proj:   3%|▎         | 1113/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.86.down_proj:   3%|▎         | 1114/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.87.gate_proj:   3%|▎         | 1115/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.87.up_proj:   3%|▎         | 1116/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.87.down_proj:   3%|▎         | 1117/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.88.gate_proj:   3%|▎         | 1118/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.88.up_proj:   3%|▎         | 1119/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.88.down_proj:   3%|▎         | 1120/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.89.gate_proj:   3%|▎         | 1121/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.89.up_proj:   3%|▎         | 1122/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.89.down_proj:   3%|▎         | 1123/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.90.gate_proj:   3%|▎         | 1124/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.90.up_proj:   3%|▎         | 1125/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.90.down_proj:   3%|▎         | 1126/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.91.gate_proj:   3%|▎         | 1127/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.91.up_proj:   3%|▎         | 1128/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.91.down_proj:   3%|▎         | 1129/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.92.gate_proj:   3%|▎         | 1130/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.92.up_proj:   3%|▎         | 1131/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.92.down_proj:   3%|▎         | 1132/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.93.gate_proj:   3%|▎         | 1133/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.93.up_proj:   3%|▎         | 1134/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.93.down_proj:   3%|▎         | 1135/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.94.gate_proj:   3%|▎         | 1136/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.94.up_proj:   3%|▎         | 1137/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.94.down_proj:   3%|▎         | 1138/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.95.gate_proj:   3%|▎         | 1139/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.95.up_proj:   3%|▎         | 1140/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.95.down_proj:   3%|▎         | 1141/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.96.gate_proj:   3%|▎         | 1142/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.96.up_proj:   3%|▎         | 1143/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.96.down_proj:   3%|▎         | 1144/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.97.gate_proj:   3%|▎         | 1145/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.97.up_proj:   3%|▎         | 1146/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.97.down_proj:   3%|▎         | 1147/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.98.gate_proj:   3%|▎         | 1148/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.98.up_proj:   3%|▎         | 1149/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.98.down_proj:   3%|▎         | 1150/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.99.gate_proj:   3%|▎         | 1151/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.99.up_proj:   3%|▎         | 1152/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.99.down_proj:   3%|▎         | 1153/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.100.gate_proj:   3%|▎         | 1154/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.100.up_proj:   3%|▎         | 1155/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.100.down_proj:   3%|▎         | 1156/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.101.gate_proj:   3%|▎         | 1157/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.101.up_proj:   3%|▎         | 1158/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.101.down_proj:   3%|▎         | 1159/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.102.gate_proj:   3%|▎         | 1160/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.102.up_proj:   3%|▎         | 1161/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.102.down_proj:   3%|▎         | 1162/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.103.gate_proj:   3%|▎         | 1163/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.103.up_proj:   3%|▎         | 1164/36566 [00:02<00:34, 1016.52it/s]  
packing model.layers.1.mlp.experts.103.down_proj:   3%|▎         | 1165/36566 [00:02<00:34, 1016.52it/s]
packing model.layers.1.mlp.experts.103.down_proj:   3%|▎         | 1166/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.104.gate_proj:   3%|▎         | 1166/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.104.up_proj:   3%|▎         | 1167/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.104.down_proj:   3%|▎         | 1168/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.105.gate_proj:   3%|▎         | 1169/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.105.up_proj:   3%|▎         | 1170/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.105.down_proj:   3%|▎         | 1171/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.106.gate_proj:   3%|▎         | 1172/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.106.up_proj:   3%|▎         | 1173/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.106.down_proj:   3%|▎         | 1174/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.107.gate_proj:   3%|▎         | 1175/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.107.up_proj:   3%|▎         | 1176/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.107.down_proj:   3%|▎         | 1177/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.108.gate_proj:   3%|▎         | 1178/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.108.up_proj:   3%|▎         | 1179/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.108.down_proj:   3%|▎         | 1180/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.109.gate_proj:   3%|▎         | 1181/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.109.up_proj:   3%|▎         | 1182/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.109.down_proj:   3%|▎         | 1183/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.110.gate_proj:   3%|▎         | 1184/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.110.up_proj:   3%|▎         | 1185/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.110.down_proj:   3%|▎         | 1186/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.111.gate_proj:   3%|▎         | 1187/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.111.up_proj:   3%|▎         | 1188/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.111.down_proj:   3%|▎         | 1189/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.112.gate_proj:   3%|▎         | 1190/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.112.up_proj:   3%|▎         | 1191/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.112.down_proj:   3%|▎         | 1192/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.113.gate_proj:   3%|▎         | 1193/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.113.up_proj:   3%|▎         | 1194/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.113.down_proj:   3%|▎         | 1195/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.114.gate_proj:   3%|▎         | 1196/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.114.up_proj:   3%|▎         | 1197/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.114.down_proj:   3%|▎         | 1198/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.115.gate_proj:   3%|▎         | 1199/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.115.up_proj:   3%|▎         | 1200/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.115.down_proj:   3%|▎         | 1201/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.116.gate_proj:   3%|▎         | 1202/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.116.up_proj:   3%|▎         | 1203/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.116.down_proj:   3%|▎         | 1204/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.117.gate_proj:   3%|▎         | 1205/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.117.up_proj:   3%|▎         | 1206/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.117.down_proj:   3%|▎         | 1207/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.118.gate_proj:   3%|▎         | 1208/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.118.up_proj:   3%|▎         | 1209/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.118.down_proj:   3%|▎         | 1210/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.119.gate_proj:   3%|▎         | 1211/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.119.up_proj:   3%|▎         | 1212/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.119.down_proj:   3%|▎         | 1213/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.120.gate_proj:   3%|▎         | 1214/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.120.up_proj:   3%|▎         | 1215/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.120.down_proj:   3%|▎         | 1216/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.121.gate_proj:   3%|▎         | 1217/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.121.up_proj:   3%|▎         | 1218/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.121.down_proj:   3%|▎         | 1219/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.122.gate_proj:   3%|▎         | 1220/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.122.up_proj:   3%|▎         | 1221/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.122.down_proj:   3%|▎         | 1222/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.123.gate_proj:   3%|▎         | 1223/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.123.up_proj:   3%|▎         | 1224/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.123.down_proj:   3%|▎         | 1225/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.124.gate_proj:   3%|▎         | 1226/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.124.up_proj:   3%|▎         | 1227/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.124.down_proj:   3%|▎         | 1228/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.125.gate_proj:   3%|▎         | 1229/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.125.up_proj:   3%|▎         | 1230/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.125.down_proj:   3%|▎         | 1231/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.126.gate_proj:   3%|▎         | 1232/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.126.up_proj:   3%|▎         | 1233/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.126.down_proj:   3%|▎         | 1234/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.127.gate_proj:   3%|▎         | 1235/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.1.mlp.experts.127.up_proj:   3%|▎         | 1236/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.1.mlp.experts.127.down_proj:   3%|▎         | 1237/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.0.gate_proj:   3%|▎         | 1238/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.2.mlp.experts.0.up_proj:   3%|▎         | 1239/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.2.mlp.experts.0.down_proj:   3%|▎         | 1240/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.1.gate_proj:   3%|▎         | 1241/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.1.up_proj:   3%|▎         | 1242/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.2.mlp.experts.1.down_proj:   3%|▎         | 1243/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.2.gate_proj:   3%|▎         | 1244/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.2.up_proj:   3%|▎         | 1245/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.2.mlp.experts.2.down_proj:   3%|▎         | 1246/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.3.gate_proj:   3%|▎         | 1247/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.3.up_proj:   3%|▎         | 1248/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.2.mlp.experts.3.down_proj:   3%|▎         | 1249/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.4.gate_proj:   3%|▎         | 1250/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.4.up_proj:   3%|▎         | 1251/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.2.mlp.experts.4.down_proj:   3%|▎         | 1252/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.5.gate_proj:   3%|▎         | 1253/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.5.up_proj:   3%|▎         | 1254/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.2.mlp.experts.5.down_proj:   3%|▎         | 1255/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.6.gate_proj:   3%|▎         | 1256/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.6.up_proj:   3%|▎         | 1257/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.2.mlp.experts.6.down_proj:   3%|▎         | 1258/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.7.gate_proj:   3%|▎         | 1259/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.7.up_proj:   3%|▎         | 1260/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.2.mlp.experts.7.down_proj:   3%|▎         | 1261/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.8.gate_proj:   3%|▎         | 1262/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.8.up_proj:   3%|▎         | 1263/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.2.mlp.experts.8.down_proj:   3%|▎         | 1264/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.9.gate_proj:   3%|▎         | 1265/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.9.up_proj:   3%|▎         | 1266/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.2.mlp.experts.9.down_proj:   3%|▎         | 1267/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.10.gate_proj:   3%|▎         | 1268/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.10.up_proj:   3%|▎         | 1269/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.2.mlp.experts.10.down_proj:   3%|▎         | 1270/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.11.gate_proj:   3%|▎         | 1271/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.11.up_proj:   3%|▎         | 1272/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.2.mlp.experts.11.down_proj:   3%|▎         | 1273/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.12.gate_proj:   3%|▎         | 1274/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.12.up_proj:   3%|▎         | 1275/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.2.mlp.experts.12.down_proj:   3%|▎         | 1276/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.13.gate_proj:   3%|▎         | 1277/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.13.up_proj:   3%|▎         | 1278/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.2.mlp.experts.13.down_proj:   3%|▎         | 1279/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.14.gate_proj:   4%|▎         | 1280/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.14.up_proj:   4%|▎         | 1281/36566 [00:02<00:33, 1059.33it/s]  
packing model.layers.2.mlp.experts.14.down_proj:   4%|▎         | 1282/36566 [00:02<00:33, 1059.33it/s]
packing model.layers.2.mlp.experts.14.down_proj:   4%|▎         | 1283/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.15.gate_proj:   4%|▎         | 1283/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.15.up_proj:   4%|▎         | 1284/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.15.down_proj:   4%|▎         | 1285/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.16.gate_proj:   4%|▎         | 1286/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.16.up_proj:   4%|▎         | 1287/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.16.down_proj:   4%|▎         | 1288/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.17.gate_proj:   4%|▎         | 1289/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.17.up_proj:   4%|▎         | 1290/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.17.down_proj:   4%|▎         | 1291/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.18.gate_proj:   4%|▎         | 1292/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.18.up_proj:   4%|▎         | 1293/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.18.down_proj:   4%|▎         | 1294/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.19.gate_proj:   4%|▎         | 1295/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.19.up_proj:   4%|▎         | 1296/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.19.down_proj:   4%|▎         | 1297/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.20.gate_proj:   4%|▎         | 1298/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.20.up_proj:   4%|▎         | 1299/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.20.down_proj:   4%|▎         | 1300/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.21.gate_proj:   4%|▎         | 1301/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.21.up_proj:   4%|▎         | 1302/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.21.down_proj:   4%|▎         | 1303/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.22.gate_proj:   4%|▎         | 1304/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.22.up_proj:   4%|▎         | 1305/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.22.down_proj:   4%|▎         | 1306/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.23.gate_proj:   4%|▎         | 1307/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.23.up_proj:   4%|▎         | 1308/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.23.down_proj:   4%|▎         | 1309/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.24.gate_proj:   4%|▎         | 1310/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.24.up_proj:   4%|▎         | 1311/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.24.down_proj:   4%|▎         | 1312/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.25.gate_proj:   4%|▎         | 1313/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.25.up_proj:   4%|▎         | 1314/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.25.down_proj:   4%|▎         | 1315/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.26.gate_proj:   4%|▎         | 1316/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.26.up_proj:   4%|▎         | 1317/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.26.down_proj:   4%|▎         | 1318/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.27.gate_proj:   4%|▎         | 1319/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.27.up_proj:   4%|▎         | 1320/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.27.down_proj:   4%|▎         | 1321/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.28.gate_proj:   4%|▎         | 1322/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.28.up_proj:   4%|▎         | 1323/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.28.down_proj:   4%|▎         | 1324/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.29.gate_proj:   4%|▎         | 1325/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.29.up_proj:   4%|▎         | 1326/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.29.down_proj:   4%|▎         | 1327/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.30.gate_proj:   4%|▎         | 1328/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.30.up_proj:   4%|▎         | 1329/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.30.down_proj:   4%|▎         | 1330/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.31.gate_proj:   4%|▎         | 1331/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.31.up_proj:   4%|▎         | 1332/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.31.down_proj:   4%|▎         | 1333/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.32.gate_proj:   4%|▎         | 1334/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.32.up_proj:   4%|▎         | 1335/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.32.down_proj:   4%|▎         | 1336/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.33.gate_proj:   4%|▎         | 1337/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.33.up_proj:   4%|▎         | 1338/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.33.down_proj:   4%|▎         | 1339/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.34.gate_proj:   4%|▎         | 1340/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.34.up_proj:   4%|▎         | 1341/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.34.down_proj:   4%|▎         | 1342/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.35.gate_proj:   4%|▎         | 1343/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.35.up_proj:   4%|▎         | 1344/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.35.down_proj:   4%|▎         | 1345/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.36.gate_proj:   4%|▎         | 1346/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.36.up_proj:   4%|▎         | 1347/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.36.down_proj:   4%|▎         | 1348/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.37.gate_proj:   4%|▎         | 1349/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.37.up_proj:   4%|▎         | 1350/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.37.down_proj:   4%|▎         | 1351/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.38.gate_proj:   4%|▎         | 1352/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.38.up_proj:   4%|▎         | 1353/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.38.down_proj:   4%|▎         | 1354/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.39.gate_proj:   4%|▎         | 1355/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.39.up_proj:   4%|▎         | 1356/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.39.down_proj:   4%|▎         | 1357/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.40.gate_proj:   4%|▎         | 1358/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.40.up_proj:   4%|▎         | 1359/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.40.down_proj:   4%|▎         | 1360/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.41.gate_proj:   4%|▎         | 1361/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.41.up_proj:   4%|▎         | 1362/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.41.down_proj:   4%|▎         | 1363/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.42.gate_proj:   4%|▎         | 1364/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.42.up_proj:   4%|▎         | 1365/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.42.down_proj:   4%|▎         | 1366/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.43.gate_proj:   4%|▎         | 1367/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.43.up_proj:   4%|▎         | 1368/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.43.down_proj:   4%|▎         | 1369/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.44.gate_proj:   4%|▎         | 1370/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.44.up_proj:   4%|▎         | 1371/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.44.down_proj:   4%|▍         | 1372/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.45.gate_proj:   4%|▍         | 1373/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.45.up_proj:   4%|▍         | 1374/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.45.down_proj:   4%|▍         | 1375/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.46.gate_proj:   4%|▍         | 1376/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.46.up_proj:   4%|▍         | 1377/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.46.down_proj:   4%|▍         | 1378/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.47.gate_proj:   4%|▍         | 1379/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.47.up_proj:   4%|▍         | 1380/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.47.down_proj:   4%|▍         | 1381/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.48.gate_proj:   4%|▍         | 1382/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.48.up_proj:   4%|▍         | 1383/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.48.down_proj:   4%|▍         | 1384/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.49.gate_proj:   4%|▍         | 1385/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.49.up_proj:   4%|▍         | 1386/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.49.down_proj:   4%|▍         | 1387/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.50.gate_proj:   4%|▍         | 1388/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.50.up_proj:   4%|▍         | 1389/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.50.down_proj:   4%|▍         | 1390/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.51.gate_proj:   4%|▍         | 1391/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.51.up_proj:   4%|▍         | 1392/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.51.down_proj:   4%|▍         | 1393/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.52.gate_proj:   4%|▍         | 1394/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.52.up_proj:   4%|▍         | 1395/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.52.down_proj:   4%|▍         | 1396/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.53.gate_proj:   4%|▍         | 1397/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.53.up_proj:   4%|▍         | 1398/36566 [00:02<00:32, 1089.78it/s]  
packing model.layers.2.mlp.experts.53.down_proj:   4%|▍         | 1399/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.54.gate_proj:   4%|▍         | 1400/36566 [00:02<00:32, 1089.78it/s]
packing model.layers.2.mlp.experts.54.gate_proj:   4%|▍         | 1401/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.54.up_proj:   4%|▍         | 1401/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.54.down_proj:   4%|▍         | 1402/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.55.gate_proj:   4%|▍         | 1403/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.55.up_proj:   4%|▍         | 1404/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.55.down_proj:   4%|▍         | 1405/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.56.gate_proj:   4%|▍         | 1406/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.56.up_proj:   4%|▍         | 1407/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.56.down_proj:   4%|▍         | 1408/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.57.gate_proj:   4%|▍         | 1409/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.57.up_proj:   4%|▍         | 1410/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.57.down_proj:   4%|▍         | 1411/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.58.gate_proj:   4%|▍         | 1412/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.58.up_proj:   4%|▍         | 1413/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.58.down_proj:   4%|▍         | 1414/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.59.gate_proj:   4%|▍         | 1415/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.59.up_proj:   4%|▍         | 1416/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.59.down_proj:   4%|▍         | 1417/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.60.gate_proj:   4%|▍         | 1418/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.60.up_proj:   4%|▍         | 1419/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.60.down_proj:   4%|▍         | 1420/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.61.gate_proj:   4%|▍         | 1421/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.61.up_proj:   4%|▍         | 1422/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.61.down_proj:   4%|▍         | 1423/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.62.gate_proj:   4%|▍         | 1424/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.62.up_proj:   4%|▍         | 1425/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.62.down_proj:   4%|▍         | 1426/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.63.gate_proj:   4%|▍         | 1427/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.63.up_proj:   4%|▍         | 1428/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.63.down_proj:   4%|▍         | 1429/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.64.gate_proj:   4%|▍         | 1430/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.64.up_proj:   4%|▍         | 1431/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.64.down_proj:   4%|▍         | 1432/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.65.gate_proj:   4%|▍         | 1433/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.65.up_proj:   4%|▍         | 1434/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.65.down_proj:   4%|▍         | 1435/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.66.gate_proj:   4%|▍         | 1436/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.66.up_proj:   4%|▍         | 1437/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.66.down_proj:   4%|▍         | 1438/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.67.gate_proj:   4%|▍         | 1439/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.67.up_proj:   4%|▍         | 1440/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.67.down_proj:   4%|▍         | 1441/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.68.gate_proj:   4%|▍         | 1442/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.68.up_proj:   4%|▍         | 1443/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.68.down_proj:   4%|▍         | 1444/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.69.gate_proj:   4%|▍         | 1445/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.69.up_proj:   4%|▍         | 1446/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.69.down_proj:   4%|▍         | 1447/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.70.gate_proj:   4%|▍         | 1448/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.70.up_proj:   4%|▍         | 1449/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.70.down_proj:   4%|▍         | 1450/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.71.gate_proj:   4%|▍         | 1451/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.71.up_proj:   4%|▍         | 1452/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.71.down_proj:   4%|▍         | 1453/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.72.gate_proj:   4%|▍         | 1454/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.72.up_proj:   4%|▍         | 1455/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.72.down_proj:   4%|▍         | 1456/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.73.gate_proj:   4%|▍         | 1457/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.73.up_proj:   4%|▍         | 1458/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.73.down_proj:   4%|▍         | 1459/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.74.gate_proj:   4%|▍         | 1460/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.74.up_proj:   4%|▍         | 1461/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.74.down_proj:   4%|▍         | 1462/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.75.gate_proj:   4%|▍         | 1463/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.75.up_proj:   4%|▍         | 1464/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.75.down_proj:   4%|▍         | 1465/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.76.gate_proj:   4%|▍         | 1466/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.76.up_proj:   4%|▍         | 1467/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.76.down_proj:   4%|▍         | 1468/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.77.gate_proj:   4%|▍         | 1469/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.77.up_proj:   4%|▍         | 1470/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.77.down_proj:   4%|▍         | 1471/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.78.gate_proj:   4%|▍         | 1472/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.78.up_proj:   4%|▍         | 1473/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.78.down_proj:   4%|▍         | 1474/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.79.gate_proj:   4%|▍         | 1475/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.79.up_proj:   4%|▍         | 1476/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.79.down_proj:   4%|▍         | 1477/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.80.gate_proj:   4%|▍         | 1478/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.80.up_proj:   4%|▍         | 1479/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.80.down_proj:   4%|▍         | 1480/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.81.gate_proj:   4%|▍         | 1481/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.81.up_proj:   4%|▍         | 1482/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.81.down_proj:   4%|▍         | 1483/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.82.gate_proj:   4%|▍         | 1484/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.82.up_proj:   4%|▍         | 1485/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.82.down_proj:   4%|▍         | 1486/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.83.gate_proj:   4%|▍         | 1487/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.83.up_proj:   4%|▍         | 1488/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.83.down_proj:   4%|▍         | 1489/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.84.gate_proj:   4%|▍         | 1490/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.84.up_proj:   4%|▍         | 1491/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.84.down_proj:   4%|▍         | 1492/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.85.gate_proj:   4%|▍         | 1493/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.85.up_proj:   4%|▍         | 1494/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.85.down_proj:   4%|▍         | 1495/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.86.gate_proj:   4%|▍         | 1496/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.86.up_proj:   4%|▍         | 1497/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.86.down_proj:   4%|▍         | 1498/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.87.gate_proj:   4%|▍         | 1499/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.87.up_proj:   4%|▍         | 1500/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.87.down_proj:   4%|▍         | 1501/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.88.gate_proj:   4%|▍         | 1502/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.88.up_proj:   4%|▍         | 1503/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.88.down_proj:   4%|▍         | 1504/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.89.gate_proj:   4%|▍         | 1505/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.89.up_proj:   4%|▍         | 1506/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.89.down_proj:   4%|▍         | 1507/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.90.gate_proj:   4%|▍         | 1508/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.90.up_proj:   4%|▍         | 1509/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.90.down_proj:   4%|▍         | 1510/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.91.gate_proj:   4%|▍         | 1511/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.91.up_proj:   4%|▍         | 1512/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.91.down_proj:   4%|▍         | 1513/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.92.gate_proj:   4%|▍         | 1514/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.92.up_proj:   4%|▍         | 1515/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.92.down_proj:   4%|▍         | 1516/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.93.gate_proj:   4%|▍         | 1517/36566 [00:02<00:31, 1113.38it/s]
packing model.layers.2.mlp.experts.93.up_proj:   4%|▍         | 1518/36566 [00:02<00:31, 1113.38it/s]  
packing model.layers.2.mlp.experts.93.up_proj:   4%|▍         | 1519/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.93.down_proj:   4%|▍         | 1519/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.94.gate_proj:   4%|▍         | 1520/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.94.up_proj:   4%|▍         | 1521/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.94.down_proj:   4%|▍         | 1522/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.95.gate_proj:   4%|▍         | 1523/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.95.up_proj:   4%|▍         | 1524/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.95.down_proj:   4%|▍         | 1525/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.96.gate_proj:   4%|▍         | 1526/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.96.up_proj:   4%|▍         | 1527/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.96.down_proj:   4%|▍         | 1528/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.97.gate_proj:   4%|▍         | 1529/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.97.up_proj:   4%|▍         | 1530/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.97.down_proj:   4%|▍         | 1531/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.98.gate_proj:   4%|▍         | 1532/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.98.up_proj:   4%|▍         | 1533/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.98.down_proj:   4%|▍         | 1534/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.99.gate_proj:   4%|▍         | 1535/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.99.up_proj:   4%|▍         | 1536/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.99.down_proj:   4%|▍         | 1537/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.100.gate_proj:   4%|▍         | 1538/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.100.up_proj:   4%|▍         | 1539/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.100.down_proj:   4%|▍         | 1540/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.101.gate_proj:   4%|▍         | 1541/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.101.up_proj:   4%|▍         | 1542/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.101.down_proj:   4%|▍         | 1543/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.102.gate_proj:   4%|▍         | 1544/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.102.up_proj:   4%|▍         | 1545/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.102.down_proj:   4%|▍         | 1546/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.103.gate_proj:   4%|▍         | 1547/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.103.up_proj:   4%|▍         | 1548/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.103.down_proj:   4%|▍         | 1549/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.104.gate_proj:   4%|▍         | 1550/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.104.up_proj:   4%|▍         | 1551/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.104.down_proj:   4%|▍         | 1552/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.105.gate_proj:   4%|▍         | 1553/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.105.up_proj:   4%|▍         | 1554/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.105.down_proj:   4%|▍         | 1555/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.106.gate_proj:   4%|▍         | 1556/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.106.up_proj:   4%|▍         | 1557/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.106.down_proj:   4%|▍         | 1558/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.107.gate_proj:   4%|▍         | 1559/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.107.up_proj:   4%|▍         | 1560/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.107.down_proj:   4%|▍         | 1561/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.108.gate_proj:   4%|▍         | 1562/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.108.up_proj:   4%|▍         | 1563/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.108.down_proj:   4%|▍         | 1564/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.109.gate_proj:   4%|▍         | 1565/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.109.up_proj:   4%|▍         | 1566/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.109.down_proj:   4%|▍         | 1567/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.110.gate_proj:   4%|▍         | 1568/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.110.up_proj:   4%|▍         | 1569/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.110.down_proj:   4%|▍         | 1570/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.111.gate_proj:   4%|▍         | 1571/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.111.up_proj:   4%|▍         | 1572/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.111.down_proj:   4%|▍         | 1573/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.112.gate_proj:   4%|▍         | 1574/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.112.up_proj:   4%|▍         | 1575/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.112.down_proj:   4%|▍         | 1576/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.113.gate_proj:   4%|▍         | 1577/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.113.up_proj:   4%|▍         | 1578/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.113.down_proj:   4%|▍         | 1579/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.114.gate_proj:   4%|▍         | 1580/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.114.up_proj:   4%|▍         | 1581/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.114.down_proj:   4%|▍         | 1582/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.115.gate_proj:   4%|▍         | 1583/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.115.up_proj:   4%|▍         | 1584/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.115.down_proj:   4%|▍         | 1585/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.116.gate_proj:   4%|▍         | 1586/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.116.up_proj:   4%|▍         | 1587/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.116.down_proj:   4%|▍         | 1588/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.117.gate_proj:   4%|▍         | 1589/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.117.up_proj:   4%|▍         | 1590/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.117.down_proj:   4%|▍         | 1591/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.118.gate_proj:   4%|▍         | 1592/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.118.up_proj:   4%|▍         | 1593/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.118.down_proj:   4%|▍         | 1594/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.119.gate_proj:   4%|▍         | 1595/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.119.up_proj:   4%|▍         | 1596/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.119.down_proj:   4%|▍         | 1597/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.120.gate_proj:   4%|▍         | 1598/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.120.up_proj:   4%|▍         | 1599/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.120.down_proj:   4%|▍         | 1600/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.121.gate_proj:   4%|▍         | 1601/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.121.up_proj:   4%|▍         | 1602/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.121.down_proj:   4%|▍         | 1603/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.122.gate_proj:   4%|▍         | 1604/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.122.up_proj:   4%|▍         | 1605/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.122.down_proj:   4%|▍         | 1606/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.123.gate_proj:   4%|▍         | 1607/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.123.up_proj:   4%|▍         | 1608/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.123.down_proj:   4%|▍         | 1609/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.124.gate_proj:   4%|▍         | 1610/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.124.up_proj:   4%|▍         | 1611/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.124.down_proj:   4%|▍         | 1612/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.125.gate_proj:   4%|▍         | 1613/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.125.up_proj:   4%|▍         | 1614/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.125.down_proj:   4%|▍         | 1615/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.126.gate_proj:   4%|▍         | 1616/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.126.up_proj:   4%|▍         | 1617/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.126.down_proj:   4%|▍         | 1618/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.127.gate_proj:   4%|▍         | 1619/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.2.mlp.experts.127.up_proj:   4%|▍         | 1620/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.2.mlp.experts.127.down_proj:   4%|▍         | 1621/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.3.mlp.experts.0.gate_proj:   4%|▍         | 1622/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.3.mlp.experts.0.up_proj:   4%|▍         | 1623/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.3.mlp.experts.0.down_proj:   4%|▍         | 1624/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.3.mlp.experts.1.gate_proj:   4%|▍         | 1625/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.3.mlp.experts.1.up_proj:   4%|▍         | 1626/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.3.mlp.experts.1.down_proj:   4%|▍         | 1627/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.3.mlp.experts.2.gate_proj:   4%|▍         | 1628/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.3.mlp.experts.2.up_proj:   4%|▍         | 1629/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.3.mlp.experts.2.down_proj:   4%|▍         | 1630/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.3.mlp.experts.3.gate_proj:   4%|▍         | 1631/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.3.mlp.experts.3.up_proj:   4%|▍         | 1632/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.3.mlp.experts.3.down_proj:   4%|▍         | 1633/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.3.mlp.experts.4.gate_proj:   4%|▍         | 1634/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.3.mlp.experts.4.up_proj:   4%|▍         | 1635/36566 [00:02<00:30, 1130.79it/s]  
packing model.layers.3.mlp.experts.4.down_proj:   4%|▍         | 1636/36566 [00:02<00:30, 1130.79it/s]
packing model.layers.3.mlp.experts.4.down_proj:   4%|▍         | 1637/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.5.gate_proj:   4%|▍         | 1637/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.5.up_proj:   4%|▍         | 1638/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.5.down_proj:   4%|▍         | 1639/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.6.gate_proj:   4%|▍         | 1640/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.6.up_proj:   4%|▍         | 1641/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.6.down_proj:   4%|▍         | 1642/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.7.gate_proj:   4%|▍         | 1643/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.7.up_proj:   4%|▍         | 1644/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.7.down_proj:   4%|▍         | 1645/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.8.gate_proj:   5%|▍         | 1646/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.8.up_proj:   5%|▍         | 1647/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.8.down_proj:   5%|▍         | 1648/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.9.gate_proj:   5%|▍         | 1649/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.9.up_proj:   5%|▍         | 1650/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.9.down_proj:   5%|▍         | 1651/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.10.gate_proj:   5%|▍         | 1652/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.10.up_proj:   5%|▍         | 1653/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.10.down_proj:   5%|▍         | 1654/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.11.gate_proj:   5%|▍         | 1655/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.11.up_proj:   5%|▍         | 1656/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.11.down_proj:   5%|▍         | 1657/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.12.gate_proj:   5%|▍         | 1658/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.12.up_proj:   5%|▍         | 1659/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.12.down_proj:   5%|▍         | 1660/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.13.gate_proj:   5%|▍         | 1661/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.13.up_proj:   5%|▍         | 1662/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.13.down_proj:   5%|▍         | 1663/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.14.gate_proj:   5%|▍         | 1664/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.14.up_proj:   5%|▍         | 1665/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.14.down_proj:   5%|▍         | 1666/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.15.gate_proj:   5%|▍         | 1667/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.15.up_proj:   5%|▍         | 1668/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.15.down_proj:   5%|▍         | 1669/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.16.gate_proj:   5%|▍         | 1670/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.16.up_proj:   5%|▍         | 1671/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.16.down_proj:   5%|▍         | 1672/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.17.gate_proj:   5%|▍         | 1673/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.17.up_proj:   5%|▍         | 1674/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.17.down_proj:   5%|▍         | 1675/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.18.gate_proj:   5%|▍         | 1676/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.18.up_proj:   5%|▍         | 1677/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.18.down_proj:   5%|▍         | 1678/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.19.gate_proj:   5%|▍         | 1679/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.19.up_proj:   5%|▍         | 1680/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.19.down_proj:   5%|▍         | 1681/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.20.gate_proj:   5%|▍         | 1682/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.20.up_proj:   5%|▍         | 1683/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.20.down_proj:   5%|▍         | 1684/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.21.gate_proj:   5%|▍         | 1685/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.21.up_proj:   5%|▍         | 1686/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.21.down_proj:   5%|▍         | 1687/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.22.gate_proj:   5%|▍         | 1688/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.22.up_proj:   5%|▍         | 1689/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.22.down_proj:   5%|▍         | 1690/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.23.gate_proj:   5%|▍         | 1691/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.23.up_proj:   5%|▍         | 1692/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.23.down_proj:   5%|▍         | 1693/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.24.gate_proj:   5%|▍         | 1694/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.24.up_proj:   5%|▍         | 1695/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.24.down_proj:   5%|▍         | 1696/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.25.gate_proj:   5%|▍         | 1697/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.25.up_proj:   5%|▍         | 1698/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.25.down_proj:   5%|▍         | 1699/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.26.gate_proj:   5%|▍         | 1700/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.26.up_proj:   5%|▍         | 1701/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.26.down_proj:   5%|▍         | 1702/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.27.gate_proj:   5%|▍         | 1703/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.27.up_proj:   5%|▍         | 1704/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.27.down_proj:   5%|▍         | 1705/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.28.gate_proj:   5%|▍         | 1706/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.28.up_proj:   5%|▍         | 1707/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.28.down_proj:   5%|▍         | 1708/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.29.gate_proj:   5%|▍         | 1709/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.29.up_proj:   5%|▍         | 1710/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.29.down_proj:   5%|▍         | 1711/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.30.gate_proj:   5%|▍         | 1712/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.30.up_proj:   5%|▍         | 1713/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.30.down_proj:   5%|▍         | 1714/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.31.gate_proj:   5%|▍         | 1715/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.31.up_proj:   5%|▍         | 1716/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.31.down_proj:   5%|▍         | 1717/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.32.gate_proj:   5%|▍         | 1718/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.32.up_proj:   5%|▍         | 1719/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.32.down_proj:   5%|▍         | 1720/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.33.gate_proj:   5%|▍         | 1721/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.33.up_proj:   5%|▍         | 1722/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.33.down_proj:   5%|▍         | 1723/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.34.gate_proj:   5%|▍         | 1724/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.34.up_proj:   5%|▍         | 1725/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.34.down_proj:   5%|▍         | 1726/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.35.gate_proj:   5%|▍         | 1727/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.35.up_proj:   5%|▍         | 1728/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.35.down_proj:   5%|▍         | 1729/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.36.gate_proj:   5%|▍         | 1730/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.36.up_proj:   5%|▍         | 1731/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.36.down_proj:   5%|▍         | 1732/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.37.gate_proj:   5%|▍         | 1733/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.37.up_proj:   5%|▍         | 1734/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.37.down_proj:   5%|▍         | 1735/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.38.gate_proj:   5%|▍         | 1736/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.38.up_proj:   5%|▍         | 1737/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.38.down_proj:   5%|▍         | 1738/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.39.gate_proj:   5%|▍         | 1739/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.39.up_proj:   5%|▍         | 1740/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.39.down_proj:   5%|▍         | 1741/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.40.gate_proj:   5%|▍         | 1742/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.40.up_proj:   5%|▍         | 1743/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.40.down_proj:   5%|▍         | 1744/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.41.gate_proj:   5%|▍         | 1745/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.41.up_proj:   5%|▍         | 1746/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.41.down_proj:   5%|▍         | 1747/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.42.gate_proj:   5%|▍         | 1748/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.42.up_proj:   5%|▍         | 1749/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.42.down_proj:   5%|▍         | 1750/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.43.gate_proj:   5%|▍         | 1751/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.43.up_proj:   5%|▍         | 1752/36566 [00:02<00:30, 1143.38it/s]  
packing model.layers.3.mlp.experts.43.down_proj:   5%|▍         | 1753/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.44.gate_proj:   5%|▍         | 1754/36566 [00:02<00:30, 1143.38it/s]
packing model.layers.3.mlp.experts.44.gate_proj:   5%|▍         | 1755/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.44.up_proj:   5%|▍         | 1755/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.44.down_proj:   5%|▍         | 1756/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.45.gate_proj:   5%|▍         | 1757/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.45.up_proj:   5%|▍         | 1758/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.45.down_proj:   5%|▍         | 1759/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.46.gate_proj:   5%|▍         | 1760/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.46.up_proj:   5%|▍         | 1761/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.46.down_proj:   5%|▍         | 1762/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.47.gate_proj:   5%|▍         | 1763/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.47.up_proj:   5%|▍         | 1764/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.47.down_proj:   5%|▍         | 1765/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.48.gate_proj:   5%|▍         | 1766/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.48.up_proj:   5%|▍         | 1767/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.48.down_proj:   5%|▍         | 1768/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.49.gate_proj:   5%|▍         | 1769/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.49.up_proj:   5%|▍         | 1770/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.49.down_proj:   5%|▍         | 1771/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.50.gate_proj:   5%|▍         | 1772/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.50.up_proj:   5%|▍         | 1773/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.50.down_proj:   5%|▍         | 1774/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.51.gate_proj:   5%|▍         | 1775/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.51.up_proj:   5%|▍         | 1776/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.51.down_proj:   5%|▍         | 1777/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.52.gate_proj:   5%|▍         | 1778/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.52.up_proj:   5%|▍         | 1779/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.52.down_proj:   5%|▍         | 1780/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.53.gate_proj:   5%|▍         | 1781/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.53.up_proj:   5%|▍         | 1782/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.53.down_proj:   5%|▍         | 1783/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.54.gate_proj:   5%|▍         | 1784/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.54.up_proj:   5%|▍         | 1785/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.54.down_proj:   5%|▍         | 1786/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.55.gate_proj:   5%|▍         | 1787/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.55.up_proj:   5%|▍         | 1788/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.55.down_proj:   5%|▍         | 1789/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.56.gate_proj:   5%|▍         | 1790/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.56.up_proj:   5%|▍         | 1791/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.56.down_proj:   5%|▍         | 1792/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.57.gate_proj:   5%|▍         | 1793/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.57.up_proj:   5%|▍         | 1794/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.57.down_proj:   5%|▍         | 1795/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.58.gate_proj:   5%|▍         | 1796/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.58.up_proj:   5%|▍         | 1797/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.58.down_proj:   5%|▍         | 1798/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.59.gate_proj:   5%|▍         | 1799/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.59.up_proj:   5%|▍         | 1800/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.59.down_proj:   5%|▍         | 1801/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.60.gate_proj:   5%|▍         | 1802/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.60.up_proj:   5%|▍         | 1803/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.60.down_proj:   5%|▍         | 1804/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.61.gate_proj:   5%|▍         | 1805/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.61.up_proj:   5%|▍         | 1806/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.61.down_proj:   5%|▍         | 1807/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.62.gate_proj:   5%|▍         | 1808/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.62.up_proj:   5%|▍         | 1809/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.62.down_proj:   5%|▍         | 1810/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.63.gate_proj:   5%|▍         | 1811/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.63.up_proj:   5%|▍         | 1812/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.63.down_proj:   5%|▍         | 1813/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.64.gate_proj:   5%|▍         | 1814/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.64.up_proj:   5%|▍         | 1815/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.64.down_proj:   5%|▍         | 1816/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.65.gate_proj:   5%|▍         | 1817/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.65.up_proj:   5%|▍         | 1818/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.65.down_proj:   5%|▍         | 1819/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.66.gate_proj:   5%|▍         | 1820/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.66.up_proj:   5%|▍         | 1821/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.66.down_proj:   5%|▍         | 1822/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.67.gate_proj:   5%|▍         | 1823/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.67.up_proj:   5%|▍         | 1824/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.67.down_proj:   5%|▍         | 1825/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.68.gate_proj:   5%|▍         | 1826/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.68.up_proj:   5%|▍         | 1827/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.68.down_proj:   5%|▍         | 1828/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.69.gate_proj:   5%|▌         | 1829/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.69.up_proj:   5%|▌         | 1830/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.69.down_proj:   5%|▌         | 1831/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.70.gate_proj:   5%|▌         | 1832/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.70.up_proj:   5%|▌         | 1833/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.70.down_proj:   5%|▌         | 1834/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.71.gate_proj:   5%|▌         | 1835/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.71.up_proj:   5%|▌         | 1836/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.71.down_proj:   5%|▌         | 1837/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.72.gate_proj:   5%|▌         | 1838/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.72.up_proj:   5%|▌         | 1839/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.72.down_proj:   5%|▌         | 1840/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.73.gate_proj:   5%|▌         | 1841/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.73.up_proj:   5%|▌         | 1842/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.73.down_proj:   5%|▌         | 1843/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.74.gate_proj:   5%|▌         | 1844/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.74.up_proj:   5%|▌         | 1845/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.74.down_proj:   5%|▌         | 1846/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.75.gate_proj:   5%|▌         | 1847/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.75.up_proj:   5%|▌         | 1848/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.75.down_proj:   5%|▌         | 1849/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.76.gate_proj:   5%|▌         | 1850/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.76.up_proj:   5%|▌         | 1851/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.76.down_proj:   5%|▌         | 1852/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.77.gate_proj:   5%|▌         | 1853/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.77.up_proj:   5%|▌         | 1854/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.77.down_proj:   5%|▌         | 1855/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.78.gate_proj:   5%|▌         | 1856/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.78.up_proj:   5%|▌         | 1857/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.78.down_proj:   5%|▌         | 1858/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.79.gate_proj:   5%|▌         | 1859/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.79.up_proj:   5%|▌         | 1860/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.79.down_proj:   5%|▌         | 1861/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.80.gate_proj:   5%|▌         | 1862/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.80.up_proj:   5%|▌         | 1863/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.80.down_proj:   5%|▌         | 1864/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.81.gate_proj:   5%|▌         | 1865/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.81.up_proj:   5%|▌         | 1866/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.81.down_proj:   5%|▌         | 1867/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.82.gate_proj:   5%|▌         | 1868/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.82.up_proj:   5%|▌         | 1869/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.82.down_proj:   5%|▌         | 1870/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.83.gate_proj:   5%|▌         | 1871/36566 [00:02<00:30, 1151.61it/s]
packing model.layers.3.mlp.experts.83.up_proj:   5%|▌         | 1872/36566 [00:02<00:30, 1151.61it/s]  
packing model.layers.3.mlp.experts.83.up_proj:   5%|▌         | 1873/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.83.down_proj:   5%|▌         | 1873/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.84.gate_proj:   5%|▌         | 1874/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.84.up_proj:   5%|▌         | 1875/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.84.down_proj:   5%|▌         | 1876/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.85.gate_proj:   5%|▌         | 1877/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.85.up_proj:   5%|▌         | 1878/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.85.down_proj:   5%|▌         | 1879/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.86.gate_proj:   5%|▌         | 1880/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.86.up_proj:   5%|▌         | 1881/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.86.down_proj:   5%|▌         | 1882/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.87.gate_proj:   5%|▌         | 1883/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.87.up_proj:   5%|▌         | 1884/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.87.down_proj:   5%|▌         | 1885/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.88.gate_proj:   5%|▌         | 1886/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.88.up_proj:   5%|▌         | 1887/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.88.down_proj:   5%|▌         | 1888/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.89.gate_proj:   5%|▌         | 1889/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.89.up_proj:   5%|▌         | 1890/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.89.down_proj:   5%|▌         | 1891/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.90.gate_proj:   5%|▌         | 1892/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.90.up_proj:   5%|▌         | 1893/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.90.down_proj:   5%|▌         | 1894/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.91.gate_proj:   5%|▌         | 1895/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.91.up_proj:   5%|▌         | 1896/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.91.down_proj:   5%|▌         | 1897/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.92.gate_proj:   5%|▌         | 1898/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.92.up_proj:   5%|▌         | 1899/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.92.down_proj:   5%|▌         | 1900/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.93.gate_proj:   5%|▌         | 1901/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.93.up_proj:   5%|▌         | 1902/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.93.down_proj:   5%|▌         | 1903/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.94.gate_proj:   5%|▌         | 1904/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.94.up_proj:   5%|▌         | 1905/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.94.down_proj:   5%|▌         | 1906/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.95.gate_proj:   5%|▌         | 1907/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.95.up_proj:   5%|▌         | 1908/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.95.down_proj:   5%|▌         | 1909/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.96.gate_proj:   5%|▌         | 1910/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.96.up_proj:   5%|▌         | 1911/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.96.down_proj:   5%|▌         | 1912/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.97.gate_proj:   5%|▌         | 1913/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.97.up_proj:   5%|▌         | 1914/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.97.down_proj:   5%|▌         | 1915/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.98.gate_proj:   5%|▌         | 1916/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.98.up_proj:   5%|▌         | 1917/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.98.down_proj:   5%|▌         | 1918/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.99.gate_proj:   5%|▌         | 1919/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.99.up_proj:   5%|▌         | 1920/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.99.down_proj:   5%|▌         | 1921/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.100.gate_proj:   5%|▌         | 1922/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.100.up_proj:   5%|▌         | 1923/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.100.down_proj:   5%|▌         | 1924/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.101.gate_proj:   5%|▌         | 1925/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.101.up_proj:   5%|▌         | 1926/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.101.down_proj:   5%|▌         | 1927/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.102.gate_proj:   5%|▌         | 1928/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.102.up_proj:   5%|▌         | 1929/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.102.down_proj:   5%|▌         | 1930/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.103.gate_proj:   5%|▌         | 1931/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.103.up_proj:   5%|▌         | 1932/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.103.down_proj:   5%|▌         | 1933/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.104.gate_proj:   5%|▌         | 1934/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.104.up_proj:   5%|▌         | 1935/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.104.down_proj:   5%|▌         | 1936/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.105.gate_proj:   5%|▌         | 1937/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.105.up_proj:   5%|▌         | 1938/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.105.down_proj:   5%|▌         | 1939/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.106.gate_proj:   5%|▌         | 1940/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.106.up_proj:   5%|▌         | 1941/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.106.down_proj:   5%|▌         | 1942/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.107.gate_proj:   5%|▌         | 1943/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.107.up_proj:   5%|▌         | 1944/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.107.down_proj:   5%|▌         | 1945/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.108.gate_proj:   5%|▌         | 1946/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.108.up_proj:   5%|▌         | 1947/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.108.down_proj:   5%|▌         | 1948/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.109.gate_proj:   5%|▌         | 1949/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.109.up_proj:   5%|▌         | 1950/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.109.down_proj:   5%|▌         | 1951/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.110.gate_proj:   5%|▌         | 1952/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.110.up_proj:   5%|▌         | 1953/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.110.down_proj:   5%|▌         | 1954/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.111.gate_proj:   5%|▌         | 1955/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.111.up_proj:   5%|▌         | 1956/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.111.down_proj:   5%|▌         | 1957/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.112.gate_proj:   5%|▌         | 1958/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.112.up_proj:   5%|▌         | 1959/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.112.down_proj:   5%|▌         | 1960/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.113.gate_proj:   5%|▌         | 1961/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.113.up_proj:   5%|▌         | 1962/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.113.down_proj:   5%|▌         | 1963/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.114.gate_proj:   5%|▌         | 1964/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.114.up_proj:   5%|▌         | 1965/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.114.down_proj:   5%|▌         | 1966/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.115.gate_proj:   5%|▌         | 1967/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.115.up_proj:   5%|▌         | 1968/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.115.down_proj:   5%|▌         | 1969/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.116.gate_proj:   5%|▌         | 1970/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.116.up_proj:   5%|▌         | 1971/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.116.down_proj:   5%|▌         | 1972/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.117.gate_proj:   5%|▌         | 1973/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.117.up_proj:   5%|▌         | 1974/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.117.down_proj:   5%|▌         | 1975/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.118.gate_proj:   5%|▌         | 1976/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.118.up_proj:   5%|▌         | 1977/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.118.down_proj:   5%|▌         | 1978/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.119.gate_proj:   5%|▌         | 1979/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.119.up_proj:   5%|▌         | 1980/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.119.down_proj:   5%|▌         | 1981/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.120.gate_proj:   5%|▌         | 1982/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.120.up_proj:   5%|▌         | 1983/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.120.down_proj:   5%|▌         | 1984/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.121.gate_proj:   5%|▌         | 1985/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.121.up_proj:   5%|▌         | 1986/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.121.down_proj:   5%|▌         | 1987/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.122.gate_proj:   5%|▌         | 1988/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.122.up_proj:   5%|▌         | 1989/36566 [00:02<00:29, 1157.29it/s]  
packing model.layers.3.mlp.experts.122.down_proj:   5%|▌         | 1990/36566 [00:02<00:29, 1157.29it/s]
packing model.layers.3.mlp.experts.122.down_proj:   5%|▌         | 1991/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.3.mlp.experts.123.gate_proj:   5%|▌         | 1991/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.3.mlp.experts.123.up_proj:   5%|▌         | 1992/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.3.mlp.experts.123.down_proj:   5%|▌         | 1993/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.3.mlp.experts.124.gate_proj:   5%|▌         | 1994/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.3.mlp.experts.124.up_proj:   5%|▌         | 1995/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.3.mlp.experts.124.down_proj:   5%|▌         | 1996/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.3.mlp.experts.125.gate_proj:   5%|▌         | 1997/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.3.mlp.experts.125.up_proj:   5%|▌         | 1998/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.3.mlp.experts.125.down_proj:   5%|▌         | 1999/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.3.mlp.experts.126.gate_proj:   5%|▌         | 2000/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.3.mlp.experts.126.up_proj:   5%|▌         | 2001/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.3.mlp.experts.126.down_proj:   5%|▌         | 2002/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.3.mlp.experts.127.gate_proj:   5%|▌         | 2003/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.3.mlp.experts.127.up_proj:   5%|▌         | 2004/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.3.mlp.experts.127.down_proj:   5%|▌         | 2005/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.0.gate_proj:   5%|▌         | 2006/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.0.up_proj:   5%|▌         | 2007/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.0.down_proj:   5%|▌         | 2008/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.1.gate_proj:   5%|▌         | 2009/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.1.up_proj:   5%|▌         | 2010/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.1.down_proj:   5%|▌         | 2011/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.2.gate_proj:   6%|▌         | 2012/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.2.up_proj:   6%|▌         | 2013/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.2.down_proj:   6%|▌         | 2014/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.3.gate_proj:   6%|▌         | 2015/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.3.up_proj:   6%|▌         | 2016/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.3.down_proj:   6%|▌         | 2017/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.4.gate_proj:   6%|▌         | 2018/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.4.up_proj:   6%|▌         | 2019/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.4.down_proj:   6%|▌         | 2020/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.5.gate_proj:   6%|▌         | 2021/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.5.up_proj:   6%|▌         | 2022/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.5.down_proj:   6%|▌         | 2023/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.6.gate_proj:   6%|▌         | 2024/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.6.up_proj:   6%|▌         | 2025/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.6.down_proj:   6%|▌         | 2026/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.7.gate_proj:   6%|▌         | 2027/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.7.up_proj:   6%|▌         | 2028/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.7.down_proj:   6%|▌         | 2029/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.8.gate_proj:   6%|▌         | 2030/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.8.up_proj:   6%|▌         | 2031/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.8.down_proj:   6%|▌         | 2032/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.9.gate_proj:   6%|▌         | 2033/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.9.up_proj:   6%|▌         | 2034/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.9.down_proj:   6%|▌         | 2035/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.10.gate_proj:   6%|▌         | 2036/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.10.up_proj:   6%|▌         | 2037/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.10.down_proj:   6%|▌         | 2038/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.11.gate_proj:   6%|▌         | 2039/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.11.up_proj:   6%|▌         | 2040/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.11.down_proj:   6%|▌         | 2041/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.12.gate_proj:   6%|▌         | 2042/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.12.up_proj:   6%|▌         | 2043/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.12.down_proj:   6%|▌         | 2044/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.13.gate_proj:   6%|▌         | 2045/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.13.up_proj:   6%|▌         | 2046/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.13.down_proj:   6%|▌         | 2047/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.14.gate_proj:   6%|▌         | 2048/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.14.up_proj:   6%|▌         | 2049/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.14.down_proj:   6%|▌         | 2050/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.15.gate_proj:   6%|▌         | 2051/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.15.up_proj:   6%|▌         | 2052/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.15.down_proj:   6%|▌         | 2053/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.16.gate_proj:   6%|▌         | 2054/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.16.up_proj:   6%|▌         | 2055/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.16.down_proj:   6%|▌         | 2056/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.17.gate_proj:   6%|▌         | 2057/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.17.up_proj:   6%|▌         | 2058/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.17.down_proj:   6%|▌         | 2059/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.18.gate_proj:   6%|▌         | 2060/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.18.up_proj:   6%|▌         | 2061/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.18.down_proj:   6%|▌         | 2062/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.19.gate_proj:   6%|▌         | 2063/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.19.up_proj:   6%|▌         | 2064/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.19.down_proj:   6%|▌         | 2065/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.20.gate_proj:   6%|▌         | 2066/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.20.up_proj:   6%|▌         | 2067/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.20.down_proj:   6%|▌         | 2068/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.21.gate_proj:   6%|▌         | 2069/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.21.up_proj:   6%|▌         | 2070/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.21.down_proj:   6%|▌         | 2071/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.22.gate_proj:   6%|▌         | 2072/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.22.up_proj:   6%|▌         | 2073/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.22.down_proj:   6%|▌         | 2074/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.23.gate_proj:   6%|▌         | 2075/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.23.up_proj:   6%|▌         | 2076/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.23.down_proj:   6%|▌         | 2077/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.24.gate_proj:   6%|▌         | 2078/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.24.up_proj:   6%|▌         | 2079/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.24.down_proj:   6%|▌         | 2080/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.25.gate_proj:   6%|▌         | 2081/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.25.up_proj:   6%|▌         | 2082/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.25.down_proj:   6%|▌         | 2083/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.26.gate_proj:   6%|▌         | 2084/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.26.up_proj:   6%|▌         | 2085/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.26.down_proj:   6%|▌         | 2086/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.27.gate_proj:   6%|▌         | 2087/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.27.up_proj:   6%|▌         | 2088/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.27.down_proj:   6%|▌         | 2089/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.28.gate_proj:   6%|▌         | 2090/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.28.up_proj:   6%|▌         | 2091/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.28.down_proj:   6%|▌         | 2092/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.29.gate_proj:   6%|▌         | 2093/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.29.up_proj:   6%|▌         | 2094/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.29.down_proj:   6%|▌         | 2095/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.30.gate_proj:   6%|▌         | 2096/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.30.up_proj:   6%|▌         | 2097/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.30.down_proj:   6%|▌         | 2098/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.31.gate_proj:   6%|▌         | 2099/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.31.up_proj:   6%|▌         | 2100/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.31.down_proj:   6%|▌         | 2101/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.32.gate_proj:   6%|▌         | 2102/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.32.up_proj:   6%|▌         | 2103/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.32.down_proj:   6%|▌         | 2104/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.33.gate_proj:   6%|▌         | 2105/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.33.up_proj:   6%|▌         | 2106/36566 [00:02<00:29, 1161.74it/s]  
packing model.layers.4.mlp.experts.33.down_proj:   6%|▌         | 2107/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.34.gate_proj:   6%|▌         | 2108/36566 [00:02<00:29, 1161.74it/s]
packing model.layers.4.mlp.experts.34.gate_proj:   6%|▌         | 2109/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.34.up_proj:   6%|▌         | 2109/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.34.down_proj:   6%|▌         | 2110/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.35.gate_proj:   6%|▌         | 2111/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.35.up_proj:   6%|▌         | 2112/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.35.down_proj:   6%|▌         | 2113/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.36.gate_proj:   6%|▌         | 2114/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.36.up_proj:   6%|▌         | 2115/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.36.down_proj:   6%|▌         | 2116/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.37.gate_proj:   6%|▌         | 2117/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.37.up_proj:   6%|▌         | 2118/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.37.down_proj:   6%|▌         | 2119/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.38.gate_proj:   6%|▌         | 2120/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.38.up_proj:   6%|▌         | 2121/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.38.down_proj:   6%|▌         | 2122/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.39.gate_proj:   6%|▌         | 2123/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.39.up_proj:   6%|▌         | 2124/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.39.down_proj:   6%|▌         | 2125/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.40.gate_proj:   6%|▌         | 2126/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.40.up_proj:   6%|▌         | 2127/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.40.down_proj:   6%|▌         | 2128/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.41.gate_proj:   6%|▌         | 2129/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.41.up_proj:   6%|▌         | 2130/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.41.down_proj:   6%|▌         | 2131/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.42.gate_proj:   6%|▌         | 2132/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.42.up_proj:   6%|▌         | 2133/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.42.down_proj:   6%|▌         | 2134/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.43.gate_proj:   6%|▌         | 2135/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.43.up_proj:   6%|▌         | 2136/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.43.down_proj:   6%|▌         | 2137/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.44.gate_proj:   6%|▌         | 2138/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.44.up_proj:   6%|▌         | 2139/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.44.down_proj:   6%|▌         | 2140/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.45.gate_proj:   6%|▌         | 2141/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.45.up_proj:   6%|▌         | 2142/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.45.down_proj:   6%|▌         | 2143/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.46.gate_proj:   6%|▌         | 2144/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.46.up_proj:   6%|▌         | 2145/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.46.down_proj:   6%|▌         | 2146/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.47.gate_proj:   6%|▌         | 2147/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.47.up_proj:   6%|▌         | 2148/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.47.down_proj:   6%|▌         | 2149/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.48.gate_proj:   6%|▌         | 2150/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.48.up_proj:   6%|▌         | 2151/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.48.down_proj:   6%|▌         | 2152/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.49.gate_proj:   6%|▌         | 2153/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.49.up_proj:   6%|▌         | 2154/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.49.down_proj:   6%|▌         | 2155/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.50.gate_proj:   6%|▌         | 2156/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.50.up_proj:   6%|▌         | 2157/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.50.down_proj:   6%|▌         | 2158/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.51.gate_proj:   6%|▌         | 2159/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.51.up_proj:   6%|▌         | 2160/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.51.down_proj:   6%|▌         | 2161/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.52.gate_proj:   6%|▌         | 2162/36566 [00:02<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.52.up_proj:   6%|▌         | 2163/36566 [00:02<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.52.down_proj:   6%|▌         | 2164/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.53.gate_proj:   6%|▌         | 2165/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.53.up_proj:   6%|▌         | 2166/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.53.down_proj:   6%|▌         | 2167/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.54.gate_proj:   6%|▌         | 2168/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.54.up_proj:   6%|▌         | 2169/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.54.down_proj:   6%|▌         | 2170/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.55.gate_proj:   6%|▌         | 2171/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.55.up_proj:   6%|▌         | 2172/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.55.down_proj:   6%|▌         | 2173/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.56.gate_proj:   6%|▌         | 2174/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.56.up_proj:   6%|▌         | 2175/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.56.down_proj:   6%|▌         | 2176/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.57.gate_proj:   6%|▌         | 2177/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.57.up_proj:   6%|▌         | 2178/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.57.down_proj:   6%|▌         | 2179/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.58.gate_proj:   6%|▌         | 2180/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.58.up_proj:   6%|▌         | 2181/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.58.down_proj:   6%|▌         | 2182/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.59.gate_proj:   6%|▌         | 2183/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.59.up_proj:   6%|▌         | 2184/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.59.down_proj:   6%|▌         | 2185/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.60.gate_proj:   6%|▌         | 2186/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.60.up_proj:   6%|▌         | 2187/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.60.down_proj:   6%|▌         | 2188/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.61.gate_proj:   6%|▌         | 2189/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.61.up_proj:   6%|▌         | 2190/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.61.down_proj:   6%|▌         | 2191/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.62.gate_proj:   6%|▌         | 2192/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.62.up_proj:   6%|▌         | 2193/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.62.down_proj:   6%|▌         | 2194/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.63.gate_proj:   6%|▌         | 2195/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.63.up_proj:   6%|▌         | 2196/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.63.down_proj:   6%|▌         | 2197/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.64.gate_proj:   6%|▌         | 2198/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.64.up_proj:   6%|▌         | 2199/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.64.down_proj:   6%|▌         | 2200/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.65.gate_proj:   6%|▌         | 2201/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.65.up_proj:   6%|▌         | 2202/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.65.down_proj:   6%|▌         | 2203/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.66.gate_proj:   6%|▌         | 2204/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.66.up_proj:   6%|▌         | 2205/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.66.down_proj:   6%|▌         | 2206/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.67.gate_proj:   6%|▌         | 2207/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.67.up_proj:   6%|▌         | 2208/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.67.down_proj:   6%|▌         | 2209/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.68.gate_proj:   6%|▌         | 2210/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.68.up_proj:   6%|▌         | 2211/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.68.down_proj:   6%|▌         | 2212/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.69.gate_proj:   6%|▌         | 2213/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.69.up_proj:   6%|▌         | 2214/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.69.down_proj:   6%|▌         | 2215/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.70.gate_proj:   6%|▌         | 2216/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.70.up_proj:   6%|▌         | 2217/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.70.down_proj:   6%|▌         | 2218/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.71.gate_proj:   6%|▌         | 2219/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.71.up_proj:   6%|▌         | 2220/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.71.down_proj:   6%|▌         | 2221/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.72.gate_proj:   6%|▌         | 2222/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.72.up_proj:   6%|▌         | 2223/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.72.down_proj:   6%|▌         | 2224/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.73.gate_proj:   6%|▌         | 2225/36566 [00:03<00:29, 1165.22it/s]
packing model.layers.4.mlp.experts.73.up_proj:   6%|▌         | 2226/36566 [00:03<00:29, 1165.22it/s]  
packing model.layers.4.mlp.experts.73.up_proj:   6%|▌         | 2227/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.73.down_proj:   6%|▌         | 2227/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.74.gate_proj:   6%|▌         | 2228/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.74.up_proj:   6%|▌         | 2229/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.74.down_proj:   6%|▌         | 2230/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.75.gate_proj:   6%|▌         | 2231/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.75.up_proj:   6%|▌         | 2232/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.75.down_proj:   6%|▌         | 2233/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.76.gate_proj:   6%|▌         | 2234/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.76.up_proj:   6%|▌         | 2235/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.76.down_proj:   6%|▌         | 2236/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.77.gate_proj:   6%|▌         | 2237/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.77.up_proj:   6%|▌         | 2238/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.77.down_proj:   6%|▌         | 2239/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.78.gate_proj:   6%|▌         | 2240/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.78.up_proj:   6%|▌         | 2241/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.78.down_proj:   6%|▌         | 2242/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.79.gate_proj:   6%|▌         | 2243/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.79.up_proj:   6%|▌         | 2244/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.79.down_proj:   6%|▌         | 2245/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.80.gate_proj:   6%|▌         | 2246/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.80.up_proj:   6%|▌         | 2247/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.80.down_proj:   6%|▌         | 2248/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.81.gate_proj:   6%|▌         | 2249/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.81.up_proj:   6%|▌         | 2250/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.81.down_proj:   6%|▌         | 2251/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.82.gate_proj:   6%|▌         | 2252/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.82.up_proj:   6%|▌         | 2253/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.82.down_proj:   6%|▌         | 2254/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.83.gate_proj:   6%|▌         | 2255/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.83.up_proj:   6%|▌         | 2256/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.83.down_proj:   6%|▌         | 2257/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.84.gate_proj:   6%|▌         | 2258/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.84.up_proj:   6%|▌         | 2259/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.84.down_proj:   6%|▌         | 2260/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.85.gate_proj:   6%|▌         | 2261/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.85.up_proj:   6%|▌         | 2262/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.85.down_proj:   6%|▌         | 2263/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.86.gate_proj:   6%|▌         | 2264/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.86.up_proj:   6%|▌         | 2265/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.86.down_proj:   6%|▌         | 2266/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.87.gate_proj:   6%|▌         | 2267/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.87.up_proj:   6%|▌         | 2268/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.87.down_proj:   6%|▌         | 2269/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.88.gate_proj:   6%|▌         | 2270/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.88.up_proj:   6%|▌         | 2271/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.88.down_proj:   6%|▌         | 2272/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.89.gate_proj:   6%|▌         | 2273/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.89.up_proj:   6%|▌         | 2274/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.89.down_proj:   6%|▌         | 2275/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.90.gate_proj:   6%|▌         | 2276/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.90.up_proj:   6%|▌         | 2277/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.90.down_proj:   6%|▌         | 2278/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.91.gate_proj:   6%|▌         | 2279/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.91.up_proj:   6%|▌         | 2280/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.91.down_proj:   6%|▌         | 2281/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.92.gate_proj:   6%|▌         | 2282/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.92.up_proj:   6%|▌         | 2283/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.92.down_proj:   6%|▌         | 2284/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.93.gate_proj:   6%|▌         | 2285/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.93.up_proj:   6%|▋         | 2286/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.93.down_proj:   6%|▋         | 2287/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.94.gate_proj:   6%|▋         | 2288/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.94.up_proj:   6%|▋         | 2289/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.94.down_proj:   6%|▋         | 2290/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.95.gate_proj:   6%|▋         | 2291/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.95.up_proj:   6%|▋         | 2292/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.95.down_proj:   6%|▋         | 2293/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.96.gate_proj:   6%|▋         | 2294/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.96.up_proj:   6%|▋         | 2295/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.96.down_proj:   6%|▋         | 2296/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.97.gate_proj:   6%|▋         | 2297/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.97.up_proj:   6%|▋         | 2298/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.97.down_proj:   6%|▋         | 2299/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.98.gate_proj:   6%|▋         | 2300/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.98.up_proj:   6%|▋         | 2301/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.98.down_proj:   6%|▋         | 2302/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.99.gate_proj:   6%|▋         | 2303/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.99.up_proj:   6%|▋         | 2304/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.99.down_proj:   6%|▋         | 2305/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.100.gate_proj:   6%|▋         | 2306/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.100.up_proj:   6%|▋         | 2307/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.100.down_proj:   6%|▋         | 2308/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.101.gate_proj:   6%|▋         | 2309/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.101.up_proj:   6%|▋         | 2310/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.101.down_proj:   6%|▋         | 2311/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.102.gate_proj:   6%|▋         | 2312/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.102.up_proj:   6%|▋         | 2313/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.102.down_proj:   6%|▋         | 2314/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.103.gate_proj:   6%|▋         | 2315/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.103.up_proj:   6%|▋         | 2316/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.103.down_proj:   6%|▋         | 2317/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.104.gate_proj:   6%|▋         | 2318/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.104.up_proj:   6%|▋         | 2319/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.104.down_proj:   6%|▋         | 2320/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.105.gate_proj:   6%|▋         | 2321/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.105.up_proj:   6%|▋         | 2322/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.105.down_proj:   6%|▋         | 2323/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.106.gate_proj:   6%|▋         | 2324/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.106.up_proj:   6%|▋         | 2325/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.106.down_proj:   6%|▋         | 2326/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.107.gate_proj:   6%|▋         | 2327/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.107.up_proj:   6%|▋         | 2328/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.107.down_proj:   6%|▋         | 2329/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.108.gate_proj:   6%|▋         | 2330/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.108.up_proj:   6%|▋         | 2331/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.108.down_proj:   6%|▋         | 2332/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.109.gate_proj:   6%|▋         | 2333/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.109.up_proj:   6%|▋         | 2334/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.109.down_proj:   6%|▋         | 2335/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.110.gate_proj:   6%|▋         | 2336/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.110.up_proj:   6%|▋         | 2337/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.110.down_proj:   6%|▋         | 2338/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.111.gate_proj:   6%|▋         | 2339/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.111.up_proj:   6%|▋         | 2340/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.111.down_proj:   6%|▋         | 2341/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.112.gate_proj:   6%|▋         | 2342/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.112.up_proj:   6%|▋         | 2343/36566 [00:03<00:29, 1166.37it/s]  
packing model.layers.4.mlp.experts.112.down_proj:   6%|▋         | 2344/36566 [00:03<00:29, 1166.37it/s]
packing model.layers.4.mlp.experts.112.down_proj:   6%|▋         | 2345/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.113.gate_proj:   6%|▋         | 2345/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.113.up_proj:   6%|▋         | 2346/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.4.mlp.experts.113.down_proj:   6%|▋         | 2347/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.114.gate_proj:   6%|▋         | 2348/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.114.up_proj:   6%|▋         | 2349/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.4.mlp.experts.114.down_proj:   6%|▋         | 2350/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.115.gate_proj:   6%|▋         | 2351/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.115.up_proj:   6%|▋         | 2352/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.4.mlp.experts.115.down_proj:   6%|▋         | 2353/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.116.gate_proj:   6%|▋         | 2354/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.116.up_proj:   6%|▋         | 2355/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.4.mlp.experts.116.down_proj:   6%|▋         | 2356/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.117.gate_proj:   6%|▋         | 2357/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.117.up_proj:   6%|▋         | 2358/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.4.mlp.experts.117.down_proj:   6%|▋         | 2359/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.118.gate_proj:   6%|▋         | 2360/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.118.up_proj:   6%|▋         | 2361/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.4.mlp.experts.118.down_proj:   6%|▋         | 2362/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.119.gate_proj:   6%|▋         | 2363/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.119.up_proj:   6%|▋         | 2364/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.4.mlp.experts.119.down_proj:   6%|▋         | 2365/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.120.gate_proj:   6%|▋         | 2366/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.120.up_proj:   6%|▋         | 2367/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.4.mlp.experts.120.down_proj:   6%|▋         | 2368/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.121.gate_proj:   6%|▋         | 2369/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.121.up_proj:   6%|▋         | 2370/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.4.mlp.experts.121.down_proj:   6%|▋         | 2371/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.122.gate_proj:   6%|▋         | 2372/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.122.up_proj:   6%|▋         | 2373/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.4.mlp.experts.122.down_proj:   6%|▋         | 2374/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.123.gate_proj:   6%|▋         | 2375/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.123.up_proj:   6%|▋         | 2376/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.4.mlp.experts.123.down_proj:   7%|▋         | 2377/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.124.gate_proj:   7%|▋         | 2378/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.124.up_proj:   7%|▋         | 2379/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.4.mlp.experts.124.down_proj:   7%|▋         | 2380/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.125.gate_proj:   7%|▋         | 2381/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.125.up_proj:   7%|▋         | 2382/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.4.mlp.experts.125.down_proj:   7%|▋         | 2383/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.126.gate_proj:   7%|▋         | 2384/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.126.up_proj:   7%|▋         | 2385/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.4.mlp.experts.126.down_proj:   7%|▋         | 2386/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.127.gate_proj:   7%|▋         | 2387/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.4.mlp.experts.127.up_proj:   7%|▋         | 2388/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.4.mlp.experts.127.down_proj:   7%|▋         | 2389/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.0.gate_proj:   7%|▋         | 2390/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.0.up_proj:   7%|▋         | 2391/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.0.down_proj:   7%|▋         | 2392/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.1.gate_proj:   7%|▋         | 2393/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.1.up_proj:   7%|▋         | 2394/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.1.down_proj:   7%|▋         | 2395/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.2.gate_proj:   7%|▋         | 2396/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.2.up_proj:   7%|▋         | 2397/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.2.down_proj:   7%|▋         | 2398/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.3.gate_proj:   7%|▋         | 2399/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.3.up_proj:   7%|▋         | 2400/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.3.down_proj:   7%|▋         | 2401/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.4.gate_proj:   7%|▋         | 2402/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.4.up_proj:   7%|▋         | 2403/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.4.down_proj:   7%|▋         | 2404/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.5.gate_proj:   7%|▋         | 2405/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.5.up_proj:   7%|▋         | 2406/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.5.down_proj:   7%|▋         | 2407/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.6.gate_proj:   7%|▋         | 2408/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.6.up_proj:   7%|▋         | 2409/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.6.down_proj:   7%|▋         | 2410/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.7.gate_proj:   7%|▋         | 2411/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.7.up_proj:   7%|▋         | 2412/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.7.down_proj:   7%|▋         | 2413/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.8.gate_proj:   7%|▋         | 2414/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.8.up_proj:   7%|▋         | 2415/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.8.down_proj:   7%|▋         | 2416/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.9.gate_proj:   7%|▋         | 2417/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.9.up_proj:   7%|▋         | 2418/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.9.down_proj:   7%|▋         | 2419/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.10.gate_proj:   7%|▋         | 2420/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.10.up_proj:   7%|▋         | 2421/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.10.down_proj:   7%|▋         | 2422/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.11.gate_proj:   7%|▋         | 2423/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.11.up_proj:   7%|▋         | 2424/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.11.down_proj:   7%|▋         | 2425/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.12.gate_proj:   7%|▋         | 2426/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.12.up_proj:   7%|▋         | 2427/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.12.down_proj:   7%|▋         | 2428/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.13.gate_proj:   7%|▋         | 2429/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.13.up_proj:   7%|▋         | 2430/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.13.down_proj:   7%|▋         | 2431/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.14.gate_proj:   7%|▋         | 2432/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.14.up_proj:   7%|▋         | 2433/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.14.down_proj:   7%|▋         | 2434/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.15.gate_proj:   7%|▋         | 2435/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.15.up_proj:   7%|▋         | 2436/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.15.down_proj:   7%|▋         | 2437/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.16.gate_proj:   7%|▋         | 2438/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.16.up_proj:   7%|▋         | 2439/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.16.down_proj:   7%|▋         | 2440/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.17.gate_proj:   7%|▋         | 2441/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.17.up_proj:   7%|▋         | 2442/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.17.down_proj:   7%|▋         | 2443/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.18.gate_proj:   7%|▋         | 2444/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.18.up_proj:   7%|▋         | 2445/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.18.down_proj:   7%|▋         | 2446/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.19.gate_proj:   7%|▋         | 2447/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.19.up_proj:   7%|▋         | 2448/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.19.down_proj:   7%|▋         | 2449/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.20.gate_proj:   7%|▋         | 2450/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.20.up_proj:   7%|▋         | 2451/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.20.down_proj:   7%|▋         | 2452/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.21.gate_proj:   7%|▋         | 2453/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.21.up_proj:   7%|▋         | 2454/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.21.down_proj:   7%|▋         | 2455/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.22.gate_proj:   7%|▋         | 2456/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.22.up_proj:   7%|▋         | 2457/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.22.down_proj:   7%|▋         | 2458/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.23.gate_proj:   7%|▋         | 2459/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.23.up_proj:   7%|▋         | 2460/36566 [00:03<00:29, 1167.74it/s]  
packing model.layers.5.mlp.experts.23.down_proj:   7%|▋         | 2461/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.24.gate_proj:   7%|▋         | 2462/36566 [00:03<00:29, 1167.74it/s]
packing model.layers.5.mlp.experts.24.gate_proj:   7%|▋         | 2463/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.24.up_proj:   7%|▋         | 2463/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.24.down_proj:   7%|▋         | 2464/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.25.gate_proj:   7%|▋         | 2465/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.25.up_proj:   7%|▋         | 2466/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.25.down_proj:   7%|▋         | 2467/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.26.gate_proj:   7%|▋         | 2468/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.26.up_proj:   7%|▋         | 2469/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.26.down_proj:   7%|▋         | 2470/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.27.gate_proj:   7%|▋         | 2471/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.27.up_proj:   7%|▋         | 2472/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.27.down_proj:   7%|▋         | 2473/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.28.gate_proj:   7%|▋         | 2474/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.28.up_proj:   7%|▋         | 2475/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.28.down_proj:   7%|▋         | 2476/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.29.gate_proj:   7%|▋         | 2477/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.29.up_proj:   7%|▋         | 2478/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.29.down_proj:   7%|▋         | 2479/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.30.gate_proj:   7%|▋         | 2480/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.30.up_proj:   7%|▋         | 2481/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.30.down_proj:   7%|▋         | 2482/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.31.gate_proj:   7%|▋         | 2483/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.31.up_proj:   7%|▋         | 2484/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.31.down_proj:   7%|▋         | 2485/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.32.gate_proj:   7%|▋         | 2486/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.32.up_proj:   7%|▋         | 2487/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.32.down_proj:   7%|▋         | 2488/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.33.gate_proj:   7%|▋         | 2489/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.33.up_proj:   7%|▋         | 2490/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.33.down_proj:   7%|▋         | 2491/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.34.gate_proj:   7%|▋         | 2492/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.34.up_proj:   7%|▋         | 2493/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.34.down_proj:   7%|▋         | 2494/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.35.gate_proj:   7%|▋         | 2495/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.35.up_proj:   7%|▋         | 2496/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.35.down_proj:   7%|▋         | 2497/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.36.gate_proj:   7%|▋         | 2498/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.36.up_proj:   7%|▋         | 2499/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.36.down_proj:   7%|▋         | 2500/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.37.gate_proj:   7%|▋         | 2501/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.37.up_proj:   7%|▋         | 2502/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.37.down_proj:   7%|▋         | 2503/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.38.gate_proj:   7%|▋         | 2504/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.38.up_proj:   7%|▋         | 2505/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.38.down_proj:   7%|▋         | 2506/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.39.gate_proj:   7%|▋         | 2507/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.39.up_proj:   7%|▋         | 2508/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.39.down_proj:   7%|▋         | 2509/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.40.gate_proj:   7%|▋         | 2510/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.40.up_proj:   7%|▋         | 2511/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.40.down_proj:   7%|▋         | 2512/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.41.gate_proj:   7%|▋         | 2513/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.41.up_proj:   7%|▋         | 2514/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.41.down_proj:   7%|▋         | 2515/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.42.gate_proj:   7%|▋         | 2516/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.42.up_proj:   7%|▋         | 2517/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.42.down_proj:   7%|▋         | 2518/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.43.gate_proj:   7%|▋         | 2519/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.43.up_proj:   7%|▋         | 2520/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.43.down_proj:   7%|▋         | 2521/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.44.gate_proj:   7%|▋         | 2522/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.44.up_proj:   7%|▋         | 2523/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.44.down_proj:   7%|▋         | 2524/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.45.gate_proj:   7%|▋         | 2525/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.45.up_proj:   7%|▋         | 2526/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.45.down_proj:   7%|▋         | 2527/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.46.gate_proj:   7%|▋         | 2528/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.46.up_proj:   7%|▋         | 2529/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.46.down_proj:   7%|▋         | 2530/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.47.gate_proj:   7%|▋         | 2531/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.47.up_proj:   7%|▋         | 2532/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.47.down_proj:   7%|▋         | 2533/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.48.gate_proj:   7%|▋         | 2534/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.48.up_proj:   7%|▋         | 2535/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.48.down_proj:   7%|▋         | 2536/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.49.gate_proj:   7%|▋         | 2537/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.49.up_proj:   7%|▋         | 2538/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.49.down_proj:   7%|▋         | 2539/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.50.gate_proj:   7%|▋         | 2540/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.50.up_proj:   7%|▋         | 2541/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.50.down_proj:   7%|▋         | 2542/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.51.gate_proj:   7%|▋         | 2543/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.51.up_proj:   7%|▋         | 2544/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.51.down_proj:   7%|▋         | 2545/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.52.gate_proj:   7%|▋         | 2546/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.52.up_proj:   7%|▋         | 2547/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.52.down_proj:   7%|▋         | 2548/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.53.gate_proj:   7%|▋         | 2549/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.53.up_proj:   7%|▋         | 2550/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.53.down_proj:   7%|▋         | 2551/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.54.gate_proj:   7%|▋         | 2552/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.54.up_proj:   7%|▋         | 2553/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.54.down_proj:   7%|▋         | 2554/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.55.gate_proj:   7%|▋         | 2555/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.55.up_proj:   7%|▋         | 2556/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.55.down_proj:   7%|▋         | 2557/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.56.gate_proj:   7%|▋         | 2558/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.56.up_proj:   7%|▋         | 2559/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.56.down_proj:   7%|▋         | 2560/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.57.gate_proj:   7%|▋         | 2561/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.57.up_proj:   7%|▋         | 2562/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.57.down_proj:   7%|▋         | 2563/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.58.gate_proj:   7%|▋         | 2564/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.58.up_proj:   7%|▋         | 2565/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.58.down_proj:   7%|▋         | 2566/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.59.gate_proj:   7%|▋         | 2567/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.59.up_proj:   7%|▋         | 2568/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.59.down_proj:   7%|▋         | 2569/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.60.gate_proj:   7%|▋         | 2570/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.60.up_proj:   7%|▋         | 2571/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.60.down_proj:   7%|▋         | 2572/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.61.gate_proj:   7%|▋         | 2573/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.61.up_proj:   7%|▋         | 2574/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.61.down_proj:   7%|▋         | 2575/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.62.gate_proj:   7%|▋         | 2576/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.62.up_proj:   7%|▋         | 2577/36566 [00:03<00:29, 1167.32it/s]  
packing model.layers.5.mlp.experts.62.down_proj:   7%|▋         | 2578/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.63.gate_proj:   7%|▋         | 2579/36566 [00:03<00:29, 1167.32it/s]
packing model.layers.5.mlp.experts.63.gate_proj:   7%|▋         | 2580/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.63.up_proj:   7%|▋         | 2580/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.63.down_proj:   7%|▋         | 2581/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.64.gate_proj:   7%|▋         | 2582/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.64.up_proj:   7%|▋         | 2583/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.64.down_proj:   7%|▋         | 2584/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.65.gate_proj:   7%|▋         | 2585/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.65.up_proj:   7%|▋         | 2586/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.65.down_proj:   7%|▋         | 2587/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.66.gate_proj:   7%|▋         | 2588/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.66.up_proj:   7%|▋         | 2589/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.66.down_proj:   7%|▋         | 2590/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.67.gate_proj:   7%|▋         | 2591/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.67.up_proj:   7%|▋         | 2592/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.67.down_proj:   7%|▋         | 2593/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.68.gate_proj:   7%|▋         | 2594/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.68.up_proj:   7%|▋         | 2595/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.68.down_proj:   7%|▋         | 2596/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.69.gate_proj:   7%|▋         | 2597/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.69.up_proj:   7%|▋         | 2598/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.69.down_proj:   7%|▋         | 2599/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.70.gate_proj:   7%|▋         | 2600/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.70.up_proj:   7%|▋         | 2601/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.70.down_proj:   7%|▋         | 2602/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.71.gate_proj:   7%|▋         | 2603/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.71.up_proj:   7%|▋         | 2604/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.71.down_proj:   7%|▋         | 2605/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.72.gate_proj:   7%|▋         | 2606/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.72.up_proj:   7%|▋         | 2607/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.72.down_proj:   7%|▋         | 2608/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.73.gate_proj:   7%|▋         | 2609/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.73.up_proj:   7%|▋         | 2610/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.73.down_proj:   7%|▋         | 2611/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.74.gate_proj:   7%|▋         | 2612/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.74.up_proj:   7%|▋         | 2613/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.74.down_proj:   7%|▋         | 2614/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.75.gate_proj:   7%|▋         | 2615/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.75.up_proj:   7%|▋         | 2616/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.75.down_proj:   7%|▋         | 2617/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.76.gate_proj:   7%|▋         | 2618/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.76.up_proj:   7%|▋         | 2619/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.76.down_proj:   7%|▋         | 2620/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.77.gate_proj:   7%|▋         | 2621/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.77.up_proj:   7%|▋         | 2622/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.77.down_proj:   7%|▋         | 2623/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.78.gate_proj:   7%|▋         | 2624/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.78.up_proj:   7%|▋         | 2625/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.78.down_proj:   7%|▋         | 2626/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.79.gate_proj:   7%|▋         | 2627/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.79.up_proj:   7%|▋         | 2628/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.79.down_proj:   7%|▋         | 2629/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.80.gate_proj:   7%|▋         | 2630/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.80.up_proj:   7%|▋         | 2631/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.80.down_proj:   7%|▋         | 2632/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.81.gate_proj:   7%|▋         | 2633/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.81.up_proj:   7%|▋         | 2634/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.81.down_proj:   7%|▋         | 2635/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.82.gate_proj:   7%|▋         | 2636/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.82.up_proj:   7%|▋         | 2637/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.82.down_proj:   7%|▋         | 2638/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.83.gate_proj:   7%|▋         | 2639/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.83.up_proj:   7%|▋         | 2640/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.83.down_proj:   7%|▋         | 2641/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.84.gate_proj:   7%|▋         | 2642/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.84.up_proj:   7%|▋         | 2643/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.84.down_proj:   7%|▋         | 2644/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.85.gate_proj:   7%|▋         | 2645/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.85.up_proj:   7%|▋         | 2646/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.85.down_proj:   7%|▋         | 2647/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.86.gate_proj:   7%|▋         | 2648/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.86.up_proj:   7%|▋         | 2649/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.86.down_proj:   7%|▋         | 2650/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.87.gate_proj:   7%|▋         | 2651/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.87.up_proj:   7%|▋         | 2652/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.87.down_proj:   7%|▋         | 2653/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.88.gate_proj:   7%|▋         | 2654/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.88.up_proj:   7%|▋         | 2655/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.88.down_proj:   7%|▋         | 2656/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.89.gate_proj:   7%|▋         | 2657/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.89.up_proj:   7%|▋         | 2658/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.89.down_proj:   7%|▋         | 2659/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.90.gate_proj:   7%|▋         | 2660/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.90.up_proj:   7%|▋         | 2661/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.90.down_proj:   7%|▋         | 2662/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.91.gate_proj:   7%|▋         | 2663/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.91.up_proj:   7%|▋         | 2664/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.91.down_proj:   7%|▋         | 2665/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.92.gate_proj:   7%|▋         | 2666/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.92.up_proj:   7%|▋         | 2667/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.92.down_proj:   7%|▋         | 2668/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.93.gate_proj:   7%|▋         | 2669/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.93.up_proj:   7%|▋         | 2670/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.93.down_proj:   7%|▋         | 2671/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.94.gate_proj:   7%|▋         | 2672/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.94.up_proj:   7%|▋         | 2673/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.94.down_proj:   7%|▋         | 2674/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.95.gate_proj:   7%|▋         | 2675/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.95.up_proj:   7%|▋         | 2676/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.95.down_proj:   7%|▋         | 2677/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.96.gate_proj:   7%|▋         | 2678/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.96.up_proj:   7%|▋         | 2679/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.96.down_proj:   7%|▋         | 2680/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.97.gate_proj:   7%|▋         | 2681/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.97.up_proj:   7%|▋         | 2682/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.97.down_proj:   7%|▋         | 2683/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.98.gate_proj:   7%|▋         | 2684/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.98.up_proj:   7%|▋         | 2685/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.98.down_proj:   7%|▋         | 2686/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.99.gate_proj:   7%|▋         | 2687/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.99.up_proj:   7%|▋         | 2688/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.99.down_proj:   7%|▋         | 2689/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.100.gate_proj:   7%|▋         | 2690/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.100.up_proj:   7%|▋         | 2691/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.100.down_proj:   7%|▋         | 2692/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.101.gate_proj:   7%|▋         | 2693/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.101.up_proj:   7%|▋         | 2694/36566 [00:03<00:29, 1167.10it/s]  
packing model.layers.5.mlp.experts.101.down_proj:   7%|▋         | 2695/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.102.gate_proj:   7%|▋         | 2696/36566 [00:03<00:29, 1167.10it/s]
packing model.layers.5.mlp.experts.102.gate_proj:   7%|▋         | 2697/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.102.up_proj:   7%|▋         | 2697/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.102.down_proj:   7%|▋         | 2698/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.103.gate_proj:   7%|▋         | 2699/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.103.up_proj:   7%|▋         | 2700/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.103.down_proj:   7%|▋         | 2701/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.104.gate_proj:   7%|▋         | 2702/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.104.up_proj:   7%|▋         | 2703/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.104.down_proj:   7%|▋         | 2704/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.105.gate_proj:   7%|▋         | 2705/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.105.up_proj:   7%|▋         | 2706/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.105.down_proj:   7%|▋         | 2707/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.106.gate_proj:   7%|▋         | 2708/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.106.up_proj:   7%|▋         | 2709/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.106.down_proj:   7%|▋         | 2710/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.107.gate_proj:   7%|▋         | 2711/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.107.up_proj:   7%|▋         | 2712/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.107.down_proj:   7%|▋         | 2713/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.108.gate_proj:   7%|▋         | 2714/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.108.up_proj:   7%|▋         | 2715/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.108.down_proj:   7%|▋         | 2716/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.109.gate_proj:   7%|▋         | 2717/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.109.up_proj:   7%|▋         | 2718/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.109.down_proj:   7%|▋         | 2719/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.110.gate_proj:   7%|▋         | 2720/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.110.up_proj:   7%|▋         | 2721/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.110.down_proj:   7%|▋         | 2722/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.111.gate_proj:   7%|▋         | 2723/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.111.up_proj:   7%|▋         | 2724/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.111.down_proj:   7%|▋         | 2725/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.112.gate_proj:   7%|▋         | 2726/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.112.up_proj:   7%|▋         | 2727/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.112.down_proj:   7%|▋         | 2728/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.113.gate_proj:   7%|▋         | 2729/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.113.up_proj:   7%|▋         | 2730/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.113.down_proj:   7%|▋         | 2731/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.114.gate_proj:   7%|▋         | 2732/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.114.up_proj:   7%|▋         | 2733/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.114.down_proj:   7%|▋         | 2734/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.115.gate_proj:   7%|▋         | 2735/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.115.up_proj:   7%|▋         | 2736/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.115.down_proj:   7%|▋         | 2737/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.116.gate_proj:   7%|▋         | 2738/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.116.up_proj:   7%|▋         | 2739/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.116.down_proj:   7%|▋         | 2740/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.117.gate_proj:   7%|▋         | 2741/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.117.up_proj:   7%|▋         | 2742/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.117.down_proj:   8%|▊         | 2743/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.118.gate_proj:   8%|▊         | 2744/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.118.up_proj:   8%|▊         | 2745/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.118.down_proj:   8%|▊         | 2746/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.119.gate_proj:   8%|▊         | 2747/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.119.up_proj:   8%|▊         | 2748/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.119.down_proj:   8%|▊         | 2749/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.120.gate_proj:   8%|▊         | 2750/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.120.up_proj:   8%|▊         | 2751/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.120.down_proj:   8%|▊         | 2752/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.121.gate_proj:   8%|▊         | 2753/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.121.up_proj:   8%|▊         | 2754/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.121.down_proj:   8%|▊         | 2755/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.122.gate_proj:   8%|▊         | 2756/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.122.up_proj:   8%|▊         | 2757/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.122.down_proj:   8%|▊         | 2758/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.123.gate_proj:   8%|▊         | 2759/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.123.up_proj:   8%|▊         | 2760/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.123.down_proj:   8%|▊         | 2761/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.124.gate_proj:   8%|▊         | 2762/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.124.up_proj:   8%|▊         | 2763/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.124.down_proj:   8%|▊         | 2764/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.125.gate_proj:   8%|▊         | 2765/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.125.up_proj:   8%|▊         | 2766/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.125.down_proj:   8%|▊         | 2767/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.126.gate_proj:   8%|▊         | 2768/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.126.up_proj:   8%|▊         | 2769/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.126.down_proj:   8%|▊         | 2770/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.127.gate_proj:   8%|▊         | 2771/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.5.mlp.experts.127.up_proj:   8%|▊         | 2772/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.5.mlp.experts.127.down_proj:   8%|▊         | 2773/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.0.gate_proj:   8%|▊         | 2774/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.6.mlp.experts.0.up_proj:   8%|▊         | 2775/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.6.mlp.experts.0.down_proj:   8%|▊         | 2776/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.1.gate_proj:   8%|▊         | 2777/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.1.up_proj:   8%|▊         | 2778/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.6.mlp.experts.1.down_proj:   8%|▊         | 2779/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.2.gate_proj:   8%|▊         | 2780/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.2.up_proj:   8%|▊         | 2781/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.6.mlp.experts.2.down_proj:   8%|▊         | 2782/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.3.gate_proj:   8%|▊         | 2783/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.3.up_proj:   8%|▊         | 2784/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.6.mlp.experts.3.down_proj:   8%|▊         | 2785/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.4.gate_proj:   8%|▊         | 2786/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.4.up_proj:   8%|▊         | 2787/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.6.mlp.experts.4.down_proj:   8%|▊         | 2788/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.5.gate_proj:   8%|▊         | 2789/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.5.up_proj:   8%|▊         | 2790/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.6.mlp.experts.5.down_proj:   8%|▊         | 2791/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.6.gate_proj:   8%|▊         | 2792/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.6.up_proj:   8%|▊         | 2793/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.6.mlp.experts.6.down_proj:   8%|▊         | 2794/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.7.gate_proj:   8%|▊         | 2795/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.7.up_proj:   8%|▊         | 2796/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.6.mlp.experts.7.down_proj:   8%|▊         | 2797/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.8.gate_proj:   8%|▊         | 2798/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.8.up_proj:   8%|▊         | 2799/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.6.mlp.experts.8.down_proj:   8%|▊         | 2800/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.9.gate_proj:   8%|▊         | 2801/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.9.up_proj:   8%|▊         | 2802/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.6.mlp.experts.9.down_proj:   8%|▊         | 2803/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.10.gate_proj:   8%|▊         | 2804/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.10.up_proj:   8%|▊         | 2805/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.6.mlp.experts.10.down_proj:   8%|▊         | 2806/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.11.gate_proj:   8%|▊         | 2807/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.11.up_proj:   8%|▊         | 2808/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.6.mlp.experts.11.down_proj:   8%|▊         | 2809/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.12.gate_proj:   8%|▊         | 2810/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.12.up_proj:   8%|▊         | 2811/36566 [00:03<00:28, 1167.93it/s]  
packing model.layers.6.mlp.experts.12.down_proj:   8%|▊         | 2812/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.13.gate_proj:   8%|▊         | 2813/36566 [00:03<00:28, 1167.93it/s]
packing model.layers.6.mlp.experts.13.gate_proj:   8%|▊         | 2814/36566 [00:03<00:28, 1167.63it/s]
packing model.layers.6.mlp.experts.13.up_proj:   8%|▊         | 2814/36566 [00:03<00:28, 1167.63it/s]  
packing model.layers.6.mlp.experts.13.down_proj:   8%|▊         | 2815/36566 [00:03<00:28, 1167.63it/s]
packing model.layers.6.mlp.experts.14.gate_proj:   8%|▊         | 2816/36566 [00:03<00:28, 1167.63it/s]
packing model.layers.6.mlp.experts.14.up_proj:   8%|▊         | 2817/36566 [00:03<00:28, 1167.63it/s]  
packing model.layers.6.mlp.experts.14.down_proj:   8%|▊         | 2818/36566 [00:03<00:28, 1167.63it/s]
packing model.layers.6.mlp.experts.15.gate_proj:   8%|▊         | 2819/36566 [00:03<00:28, 1167.63it/s]
packin
chaiml-muster-v1-q235b-25291-v1-uploader: ████▍  | 27041/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.25.up_proj:  74%|███████▍  | 27042/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.25.down_proj:  74%|███████▍  | 27043/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.26.gate_proj:  74%|███████▍  | 27044/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.26.up_proj:  74%|███████▍  | 27045/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.26.down_proj:  74%|███████▍  | 27046/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.27.gate_proj:  74%|███████▍  | 27047/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.27.up_proj:  74%|███████▍  | 27048/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.27.down_proj:  74%|███████▍  | 27049/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.28.gate_proj:  74%|███████▍  | 27050/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.28.up_proj:  74%|███████▍  | 27051/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.28.down_proj:  74%|███████▍  | 27052/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.29.gate_proj:  74%|███████▍  | 27053/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.29.up_proj:  74%|███████▍  | 27054/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.29.down_proj:  74%|███████▍  | 27055/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.30.gate_proj:  74%|███████▍  | 27056/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.30.up_proj:  74%|███████▍  | 27057/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.30.down_proj:  74%|███████▍  | 27058/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.31.gate_proj:  74%|███████▍  | 27059/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.31.up_proj:  74%|███████▍  | 27060/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.31.down_proj:  74%|███████▍  | 27061/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.32.gate_proj:  74%|███████▍  | 27062/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.32.up_proj:  74%|███████▍  | 27063/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.32.down_proj:  74%|███████▍  | 27064/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.33.gate_proj:  74%|███████▍  | 27065/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.33.up_proj:  74%|███████▍  | 27066/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.33.down_proj:  74%|███████▍  | 27067/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.34.gate_proj:  74%|███████▍  | 27068/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.34.up_proj:  74%|███████▍  | 27069/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.34.down_proj:  74%|███████▍  | 27070/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.35.gate_proj:  74%|███████▍  | 27071/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.35.up_proj:  74%|███████▍  | 27072/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.35.down_proj:  74%|███████▍  | 27073/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.36.gate_proj:  74%|███████▍  | 27074/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.36.up_proj:  74%|███████▍  | 27075/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.36.down_proj:  74%|███████▍  | 27076/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.37.gate_proj:  74%|███████▍  | 27077/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.37.up_proj:  74%|███████▍  | 27078/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.37.down_proj:  74%|███████▍  | 27079/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.38.gate_proj:  74%|███████▍  | 27080/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.38.up_proj:  74%|███████▍  | 27081/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.38.down_proj:  74%|███████▍  | 27082/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.39.gate_proj:  74%|███████▍  | 27083/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.39.up_proj:  74%|███████▍  | 27084/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.39.down_proj:  74%|███████▍  | 27085/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.40.gate_proj:  74%|███████▍  | 27086/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.40.up_proj:  74%|███████▍  | 27087/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.40.down_proj:  74%|███████▍  | 27088/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.41.gate_proj:  74%|███████▍  | 27089/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.41.up_proj:  74%|███████▍  | 27090/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.41.down_proj:  74%|███████▍  | 27091/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.42.gate_proj:  74%|███████▍  | 27092/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.42.up_proj:  74%|███████▍  | 27093/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.42.down_proj:  74%|███████▍  | 27094/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.43.gate_proj:  74%|███████▍  | 27095/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.43.up_proj:  74%|███████▍  | 27096/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.43.down_proj:  74%|███████▍  | 27097/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.44.gate_proj:  74%|███████▍  | 27098/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.44.up_proj:  74%|███████▍  | 27099/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.44.down_proj:  74%|███████▍  | 27100/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.45.gate_proj:  74%|███████▍  | 27101/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.45.up_proj:  74%|███████▍  | 27102/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.45.down_proj:  74%|███████▍  | 27103/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.46.gate_proj:  74%|███████▍  | 27104/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.46.up_proj:  74%|███████▍  | 27105/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.46.down_proj:  74%|███████▍  | 27106/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.47.gate_proj:  74%|███████▍  | 27107/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.47.up_proj:  74%|███████▍  | 27108/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.47.down_proj:  74%|███████▍  | 27109/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.48.gate_proj:  74%|███████▍  | 27110/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.48.up_proj:  74%|███████▍  | 27111/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.48.down_proj:  74%|███████▍  | 27112/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.49.gate_proj:  74%|███████▍  | 27113/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.49.up_proj:  74%|███████▍  | 27114/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.49.down_proj:  74%|███████▍  | 27115/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.50.gate_proj:  74%|███████▍  | 27116/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.50.up_proj:  74%|███████▍  | 27117/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.50.down_proj:  74%|███████▍  | 27118/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.51.gate_proj:  74%|███████▍  | 27119/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.51.up_proj:  74%|███████▍  | 27120/36566 [00:24<00:08, 1172.92it/s]  
packing model.layers.69.mlp.experts.51.down_proj:  74%|███████▍  | 27121/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.52.gate_proj:  74%|███████▍  | 27122/36566 [00:24<00:08, 1172.92it/s]
packing model.layers.69.mlp.experts.52.gate_proj:  74%|███████▍  | 27123/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.52.up_proj:  74%|███████▍  | 27123/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.52.down_proj:  74%|███████▍  | 27124/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.53.gate_proj:  74%|███████▍  | 27125/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.53.up_proj:  74%|███████▍  | 27126/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.53.down_proj:  74%|███████▍  | 27127/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.54.gate_proj:  74%|███████▍  | 27128/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.54.up_proj:  74%|███████▍  | 27129/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.54.down_proj:  74%|███████▍  | 27130/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.55.gate_proj:  74%|███████▍  | 27131/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.55.up_proj:  74%|███████▍  | 27132/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.55.down_proj:  74%|███████▍  | 27133/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.56.gate_proj:  74%|███████▍  | 27134/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.56.up_proj:  74%|███████▍  | 27135/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.56.down_proj:  74%|███████▍  | 27136/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.57.gate_proj:  74%|███████▍  | 27137/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.57.up_proj:  74%|███████▍  | 27138/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.57.down_proj:  74%|███████▍  | 27139/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.58.gate_proj:  74%|███████▍  | 27140/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.58.up_proj:  74%|███████▍  | 27141/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.58.down_proj:  74%|███████▍  | 27142/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.59.gate_proj:  74%|███████▍  | 27143/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.59.up_proj:  74%|███████▍  | 27144/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.59.down_proj:  74%|███████▍  | 27145/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.60.gate_proj:  74%|███████▍  | 27146/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.60.up_proj:  74%|███████▍  | 27147/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.60.down_proj:  74%|███████▍  | 27148/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.61.gate_proj:  74%|███████▍  | 27149/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.61.up_proj:  74%|███████▍  | 27150/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.61.down_proj:  74%|███████▍  | 27151/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.62.gate_proj:  74%|███████▍  | 27152/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.62.up_proj:  74%|███████▍  | 27153/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.62.down_proj:  74%|███████▍  | 27154/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.63.gate_proj:  74%|███████▍  | 27155/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.63.up_proj:  74%|███████▍  | 27156/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.63.down_proj:  74%|███████▍  | 27157/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.64.gate_proj:  74%|███████▍  | 27158/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.64.up_proj:  74%|███████▍  | 27159/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.64.down_proj:  74%|███████▍  | 27160/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.65.gate_proj:  74%|███████▍  | 27161/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.65.up_proj:  74%|███████▍  | 27162/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.65.down_proj:  74%|███████▍  | 27163/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.66.gate_proj:  74%|███████▍  | 27164/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.66.up_proj:  74%|███████▍  | 27165/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.66.down_proj:  74%|███████▍  | 27166/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.67.gate_proj:  74%|███████▍  | 27167/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.67.up_proj:  74%|███████▍  | 27168/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.67.down_proj:  74%|███████▍  | 27169/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.68.gate_proj:  74%|███████▍  | 27170/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.68.up_proj:  74%|███████▍  | 27171/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.68.down_proj:  74%|███████▍  | 27172/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.69.gate_proj:  74%|███████▍  | 27173/36566 [00:24<00:08, 1173.99it/s]
packing model.layers.69.mlp.experts.69.up_proj:  74%|███████▍  | 27174/36566 [00:24<00:08, 1173.99it/s]  
packing model.layers.69.mlp.experts.69.down_proj:  74%|███████▍  | 27175/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.70.gate_proj:  74%|███████▍  | 27176/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.70.up_proj:  74%|███████▍  | 27177/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.70.down_proj:  74%|███████▍  | 27178/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.71.gate_proj:  74%|███████▍  | 27179/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.71.up_proj:  74%|███████▍  | 27180/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.71.down_proj:  74%|███████▍  | 27181/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.72.gate_proj:  74%|███████▍  | 27182/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.72.up_proj:  74%|███████▍  | 27183/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.72.down_proj:  74%|███████▍  | 27184/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.73.gate_proj:  74%|███████▍  | 27185/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.73.up_proj:  74%|███████▍  | 27186/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.73.down_proj:  74%|███████▍  | 27187/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.74.gate_proj:  74%|███████▍  | 27188/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.74.up_proj:  74%|███████▍  | 27189/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.74.down_proj:  74%|███████▍  | 27190/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.75.gate_proj:  74%|███████▍  | 27191/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.75.up_proj:  74%|███████▍  | 27192/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.75.down_proj:  74%|███████▍  | 27193/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.76.gate_proj:  74%|███████▍  | 27194/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.76.up_proj:  74%|███████▍  | 27195/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.76.down_proj:  74%|███████▍  | 27196/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.77.gate_proj:  74%|███████▍  | 27197/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.77.up_proj:  74%|███████▍  | 27198/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.77.down_proj:  74%|███████▍  | 27199/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.78.gate_proj:  74%|███████▍  | 27200/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.78.up_proj:  74%|███████▍  | 27201/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.78.down_proj:  74%|███████▍  | 27202/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.79.gate_proj:  74%|███████▍  | 27203/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.79.up_proj:  74%|███████▍  | 27204/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.79.down_proj:  74%|███████▍  | 27205/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.80.gate_proj:  74%|███████▍  | 27206/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.80.up_proj:  74%|███████▍  | 27207/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.80.down_proj:  74%|███████▍  | 27208/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.81.gate_proj:  74%|███████▍  | 27209/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.81.up_proj:  74%|███████▍  | 27210/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.81.down_proj:  74%|███████▍  | 27211/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.82.gate_proj:  74%|███████▍  | 27212/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.82.up_proj:  74%|███████▍  | 27213/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.82.down_proj:  74%|███████▍  | 27214/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.83.gate_proj:  74%|███████▍  | 27215/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.83.up_proj:  74%|███████▍  | 27216/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.83.down_proj:  74%|███████▍  | 27217/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.84.gate_proj:  74%|███████▍  | 27218/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.84.up_proj:  74%|███████▍  | 27219/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.84.down_proj:  74%|███████▍  | 27220/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.85.gate_proj:  74%|███████▍  | 27221/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.85.up_proj:  74%|███████▍  | 27222/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.85.down_proj:  74%|███████▍  | 27223/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.86.gate_proj:  74%|███████▍  | 27224/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.86.up_proj:  74%|███████▍  | 27225/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.86.down_proj:  74%|███████▍  | 27226/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.87.gate_proj:  74%|███████▍  | 27227/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.87.up_proj:  74%|███████▍  | 27228/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.87.down_proj:  74%|███████▍  | 27229/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.88.gate_proj:  74%|███████▍  | 27230/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.88.up_proj:  74%|███████▍  | 27231/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.88.down_proj:  74%|███████▍  | 27232/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.89.gate_proj:  74%|███████▍  | 27233/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.89.up_proj:  74%|███████▍  | 27234/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.89.down_proj:  74%|███████▍  | 27235/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.90.gate_proj:  74%|███████▍  | 27236/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.90.up_proj:  74%|███████▍  | 27237/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.90.down_proj:  74%|███████▍  | 27238/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.91.gate_proj:  74%|███████▍  | 27239/36566 [00:24<00:07, 1173.99it/s]
packing model.layers.69.mlp.experts.91.up_proj:  74%|███████▍  | 27240/36566 [00:24<00:07, 1173.99it/s]  
packing model.layers.69.mlp.experts.91.up_proj:  74%|███████▍  | 27241/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.91.down_proj:  74%|███████▍  | 27241/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.92.gate_proj:  75%|███████▍  | 27242/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.92.up_proj:  75%|███████▍  | 27243/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.92.down_proj:  75%|███████▍  | 27244/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.93.gate_proj:  75%|███████▍  | 27245/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.93.up_proj:  75%|███████▍  | 27246/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.93.down_proj:  75%|███████▍  | 27247/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.94.gate_proj:  75%|███████▍  | 27248/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.94.up_proj:  75%|███████▍  | 27249/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.94.down_proj:  75%|███████▍  | 27250/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.95.gate_proj:  75%|███████▍  | 27251/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.95.up_proj:  75%|███████▍  | 27252/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.95.down_proj:  75%|███████▍  | 27253/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.96.gate_proj:  75%|███████▍  | 27254/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.96.up_proj:  75%|███████▍  | 27255/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.96.down_proj:  75%|███████▍  | 27256/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.97.gate_proj:  75%|███████▍  | 27257/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.97.up_proj:  75%|███████▍  | 27258/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.97.down_proj:  75%|███████▍  | 27259/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.98.gate_proj:  75%|███████▍  | 27260/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.98.up_proj:  75%|███████▍  | 27261/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.98.down_proj:  75%|███████▍  | 27262/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.99.gate_proj:  75%|███████▍  | 27263/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.99.up_proj:  75%|███████▍  | 27264/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.99.down_proj:  75%|███████▍  | 27265/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.100.gate_proj:  75%|███████▍  | 27266/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.100.up_proj:  75%|███████▍  | 27267/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.100.down_proj:  75%|███████▍  | 27268/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.101.gate_proj:  75%|███████▍  | 27269/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.101.up_proj:  75%|███████▍  | 27270/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.101.down_proj:  75%|███████▍  | 27271/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.102.gate_proj:  75%|███████▍  | 27272/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.102.up_proj:  75%|███████▍  | 27273/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.102.down_proj:  75%|███████▍  | 27274/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.103.gate_proj:  75%|███████▍  | 27275/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.103.up_proj:  75%|███████▍  | 27276/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.103.down_proj:  75%|███████▍  | 27277/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.104.gate_proj:  75%|███████▍  | 27278/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.104.up_proj:  75%|███████▍  | 27279/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.104.down_proj:  75%|███████▍  | 27280/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.105.gate_proj:  75%|███████▍  | 27281/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.105.up_proj:  75%|███████▍  | 27282/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.105.down_proj:  75%|███████▍  | 27283/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.106.gate_proj:  75%|███████▍  | 27284/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.106.up_proj:  75%|███████▍  | 27285/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.106.down_proj:  75%|███████▍  | 27286/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.107.gate_proj:  75%|███████▍  | 27287/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.107.up_proj:  75%|███████▍  | 27288/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.107.down_proj:  75%|███████▍  | 27289/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.108.gate_proj:  75%|███████▍  | 27290/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.108.up_proj:  75%|███████▍  | 27291/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.108.down_proj:  75%|███████▍  | 27292/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.109.gate_proj:  75%|███████▍  | 27293/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.109.up_proj:  75%|███████▍  | 27294/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.109.down_proj:  75%|███████▍  | 27295/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.110.gate_proj:  75%|███████▍  | 27296/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.110.up_proj:  75%|███████▍  | 27297/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.110.down_proj:  75%|███████▍  | 27298/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.111.gate_proj:  75%|███████▍  | 27299/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.111.up_proj:  75%|███████▍  | 27300/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.111.down_proj:  75%|███████▍  | 27301/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.112.gate_proj:  75%|███████▍  | 27302/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.112.up_proj:  75%|███████▍  | 27303/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.112.down_proj:  75%|███████▍  | 27304/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.113.gate_proj:  75%|███████▍  | 27305/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.113.up_proj:  75%|███████▍  | 27306/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.113.down_proj:  75%|███████▍  | 27307/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.114.gate_proj:  75%|███████▍  | 27308/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.114.up_proj:  75%|███████▍  | 27309/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.114.down_proj:  75%|███████▍  | 27310/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.115.gate_proj:  75%|███████▍  | 27311/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.115.up_proj:  75%|███████▍  | 27312/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.115.down_proj:  75%|███████▍  | 27313/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.116.gate_proj:  75%|███████▍  | 27314/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.116.up_proj:  75%|███████▍  | 27315/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.116.down_proj:  75%|███████▍  | 27316/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.117.gate_proj:  75%|███████▍  | 27317/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.117.up_proj:  75%|███████▍  | 27318/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.117.down_proj:  75%|███████▍  | 27319/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.118.gate_proj:  75%|███████▍  | 27320/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.118.up_proj:  75%|███████▍  | 27321/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.118.down_proj:  75%|███████▍  | 27322/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.119.gate_proj:  75%|███████▍  | 27323/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.119.up_proj:  75%|███████▍  | 27324/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.119.down_proj:  75%|███████▍  | 27325/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.120.gate_proj:  75%|███████▍  | 27326/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.120.up_proj:  75%|███████▍  | 27327/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.120.down_proj:  75%|███████▍  | 27328/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.121.gate_proj:  75%|███████▍  | 27329/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.121.up_proj:  75%|███████▍  | 27330/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.121.down_proj:  75%|███████▍  | 27331/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.122.gate_proj:  75%|███████▍  | 27332/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.122.up_proj:  75%|███████▍  | 27333/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.122.down_proj:  75%|███████▍  | 27334/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.123.gate_proj:  75%|███████▍  | 27335/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.123.up_proj:  75%|███████▍  | 27336/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.123.down_proj:  75%|███████▍  | 27337/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.124.gate_proj:  75%|███████▍  | 27338/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.124.up_proj:  75%|███████▍  | 27339/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.124.down_proj:  75%|███████▍  | 27340/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.125.gate_proj:  75%|███████▍  | 27341/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.125.up_proj:  75%|███████▍  | 27342/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.125.down_proj:  75%|███████▍  | 27343/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.126.gate_proj:  75%|███████▍  | 27344/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.126.up_proj:  75%|███████▍  | 27345/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.126.down_proj:  75%|███████▍  | 27346/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.127.gate_proj:  75%|███████▍  | 27347/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.69.mlp.experts.127.up_proj:  75%|███████▍  | 27348/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.69.mlp.experts.127.down_proj:  75%|███████▍  | 27349/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.70.mlp.experts.0.gate_proj:  75%|███████▍  | 27350/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.70.mlp.experts.0.up_proj:  75%|███████▍  | 27351/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.70.mlp.experts.0.down_proj:  75%|███████▍  | 27352/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.70.mlp.experts.1.gate_proj:  75%|███████▍  | 27353/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.70.mlp.experts.1.up_proj:  75%|███████▍  | 27354/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.70.mlp.experts.1.down_proj:  75%|███████▍  | 27355/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.70.mlp.experts.2.gate_proj:  75%|███████▍  | 27356/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.70.mlp.experts.2.up_proj:  75%|███████▍  | 27357/36566 [00:24<00:07, 1170.00it/s]  
packing model.layers.70.mlp.experts.2.down_proj:  75%|███████▍  | 27358/36566 [00:24<00:07, 1170.00it/s]
packing model.layers.70.mlp.experts.2.down_proj:  75%|███████▍  | 27359/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.3.gate_proj:  75%|███████▍  | 27359/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.3.up_proj:  75%|███████▍  | 27360/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.3.down_proj:  75%|███████▍  | 27361/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.4.gate_proj:  75%|███████▍  | 27362/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.4.up_proj:  75%|███████▍  | 27363/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.4.down_proj:  75%|███████▍  | 27364/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.5.gate_proj:  75%|███████▍  | 27365/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.5.up_proj:  75%|███████▍  | 27366/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.5.down_proj:  75%|███████▍  | 27367/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.6.gate_proj:  75%|███████▍  | 27368/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.6.up_proj:  75%|███████▍  | 27369/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.6.down_proj:  75%|███████▍  | 27370/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.7.gate_proj:  75%|███████▍  | 27371/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.7.up_proj:  75%|███████▍  | 27372/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.7.down_proj:  75%|███████▍  | 27373/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.8.gate_proj:  75%|███████▍  | 27374/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.8.up_proj:  75%|███████▍  | 27375/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.8.down_proj:  75%|███████▍  | 27376/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.9.gate_proj:  75%|███████▍  | 27377/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.9.up_proj:  75%|███████▍  | 27378/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.9.down_proj:  75%|███████▍  | 27379/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.10.gate_proj:  75%|███████▍  | 27380/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.10.up_proj:  75%|███████▍  | 27381/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.10.down_proj:  75%|███████▍  | 27382/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.11.gate_proj:  75%|███████▍  | 27383/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.11.up_proj:  75%|███████▍  | 27384/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.11.down_proj:  75%|███████▍  | 27385/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.12.gate_proj:  75%|███████▍  | 27386/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.12.up_proj:  75%|███████▍  | 27387/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.12.down_proj:  75%|███████▍  | 27388/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.13.gate_proj:  75%|███████▍  | 27389/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.13.up_proj:  75%|███████▍  | 27390/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.13.down_proj:  75%|███████▍  | 27391/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.14.gate_proj:  75%|███████▍  | 27392/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.14.up_proj:  75%|███████▍  | 27393/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.14.down_proj:  75%|███████▍  | 27394/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.15.gate_proj:  75%|███████▍  | 27395/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.15.up_proj:  75%|███████▍  | 27396/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.15.down_proj:  75%|███████▍  | 27397/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.16.gate_proj:  75%|███████▍  | 27398/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.16.up_proj:  75%|███████▍  | 27399/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.16.down_proj:  75%|███████▍  | 27400/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.17.gate_proj:  75%|███████▍  | 27401/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.17.up_proj:  75%|███████▍  | 27402/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.17.down_proj:  75%|███████▍  | 27403/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.18.gate_proj:  75%|███████▍  | 27404/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.18.up_proj:  75%|███████▍  | 27405/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.18.down_proj:  75%|███████▍  | 27406/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.19.gate_proj:  75%|███████▍  | 27407/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.19.up_proj:  75%|███████▍  | 27408/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.19.down_proj:  75%|███████▍  | 27409/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.20.gate_proj:  75%|███████▍  | 27410/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.20.up_proj:  75%|███████▍  | 27411/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.20.down_proj:  75%|███████▍  | 27412/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.21.gate_proj:  75%|███████▍  | 27413/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.21.up_proj:  75%|███████▍  | 27414/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.21.down_proj:  75%|███████▍  | 27415/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.22.gate_proj:  75%|███████▍  | 27416/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.22.up_proj:  75%|███████▍  | 27417/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.22.down_proj:  75%|███████▍  | 27418/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.23.gate_proj:  75%|███████▍  | 27419/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.23.up_proj:  75%|███████▍  | 27420/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.23.down_proj:  75%|███████▍  | 27421/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.24.gate_proj:  75%|███████▍  | 27422/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.24.up_proj:  75%|███████▍  | 27423/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.24.down_proj:  75%|███████▍  | 27424/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.25.gate_proj:  75%|███████▌  | 27425/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.25.up_proj:  75%|███████▌  | 27426/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.25.down_proj:  75%|███████▌  | 27427/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.26.gate_proj:  75%|███████▌  | 27428/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.26.up_proj:  75%|███████▌  | 27429/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.26.down_proj:  75%|███████▌  | 27430/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.27.gate_proj:  75%|███████▌  | 27431/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.27.up_proj:  75%|███████▌  | 27432/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.27.down_proj:  75%|███████▌  | 27433/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.28.gate_proj:  75%|███████▌  | 27434/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.28.up_proj:  75%|███████▌  | 27435/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.28.down_proj:  75%|███████▌  | 27436/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.29.gate_proj:  75%|███████▌  | 27437/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.29.up_proj:  75%|███████▌  | 27438/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.29.down_proj:  75%|███████▌  | 27439/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.30.gate_proj:  75%|███████▌  | 27440/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.30.up_proj:  75%|███████▌  | 27441/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.30.down_proj:  75%|███████▌  | 27442/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.31.gate_proj:  75%|███████▌  | 27443/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.31.up_proj:  75%|███████▌  | 27444/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.31.down_proj:  75%|███████▌  | 27445/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.32.gate_proj:  75%|███████▌  | 27446/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.32.up_proj:  75%|███████▌  | 27447/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.32.down_proj:  75%|███████▌  | 27448/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.33.gate_proj:  75%|███████▌  | 27449/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.33.up_proj:  75%|███████▌  | 27450/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.33.down_proj:  75%|███████▌  | 27451/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.34.gate_proj:  75%|███████▌  | 27452/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.34.up_proj:  75%|███████▌  | 27453/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.34.down_proj:  75%|███████▌  | 27454/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.35.gate_proj:  75%|███████▌  | 27455/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.35.up_proj:  75%|███████▌  | 27456/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.35.down_proj:  75%|███████▌  | 27457/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.36.gate_proj:  75%|███████▌  | 27458/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.36.up_proj:  75%|███████▌  | 27459/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.36.down_proj:  75%|███████▌  | 27460/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.37.gate_proj:  75%|███████▌  | 27461/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.37.up_proj:  75%|███████▌  | 27462/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.37.down_proj:  75%|███████▌  | 27463/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.38.gate_proj:  75%|███████▌  | 27464/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.38.up_proj:  75%|███████▌  | 27465/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.38.down_proj:  75%|███████▌  | 27466/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.39.gate_proj:  75%|███████▌  | 27467/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.39.up_proj:  75%|███████▌  | 27468/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.39.down_proj:  75%|███████▌  | 27469/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.40.gate_proj:  75%|███████▌  | 27470/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.40.up_proj:  75%|███████▌  | 27471/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.40.down_proj:  75%|███████▌  | 27472/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.41.gate_proj:  75%|███████▌  | 27473/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.41.up_proj:  75%|███████▌  | 27474/36566 [00:24<00:07, 1163.74it/s]  
packing model.layers.70.mlp.experts.41.down_proj:  75%|███████▌  | 27475/36566 [00:24<00:07, 1163.74it/s]
packing model.layers.70.mlp.experts.41.down_proj:  75%|███████▌  | 27476/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.42.gate_proj:  75%|███████▌  | 27476/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.42.up_proj:  75%|███████▌  | 27477/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.42.down_proj:  75%|███████▌  | 27478/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.43.gate_proj:  75%|███████▌  | 27479/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.43.up_proj:  75%|███████▌  | 27480/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.43.down_proj:  75%|███████▌  | 27481/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.44.gate_proj:  75%|███████▌  | 27482/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.44.up_proj:  75%|███████▌  | 27483/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.44.down_proj:  75%|███████▌  | 27484/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.45.gate_proj:  75%|███████▌  | 27485/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.45.up_proj:  75%|███████▌  | 27486/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.45.down_proj:  75%|███████▌  | 27487/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.46.gate_proj:  75%|███████▌  | 27488/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.46.up_proj:  75%|███████▌  | 27489/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.46.down_proj:  75%|███████▌  | 27490/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.47.gate_proj:  75%|███████▌  | 27491/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.47.up_proj:  75%|███████▌  | 27492/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.47.down_proj:  75%|███████▌  | 27493/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.48.gate_proj:  75%|███████▌  | 27494/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.48.up_proj:  75%|███████▌  | 27495/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.48.down_proj:  75%|███████▌  | 27496/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.49.gate_proj:  75%|███████▌  | 27497/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.49.up_proj:  75%|███████▌  | 27498/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.49.down_proj:  75%|███████▌  | 27499/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.50.gate_proj:  75%|███████▌  | 27500/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.50.up_proj:  75%|███████▌  | 27501/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.50.down_proj:  75%|███████▌  | 27502/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.51.gate_proj:  75%|███████▌  | 27503/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.51.up_proj:  75%|███████▌  | 27504/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.51.down_proj:  75%|███████▌  | 27505/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.52.gate_proj:  75%|███████▌  | 27506/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.52.up_proj:  75%|███████▌  | 27507/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.52.down_proj:  75%|███████▌  | 27508/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.53.gate_proj:  75%|███████▌  | 27509/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.53.up_proj:  75%|███████▌  | 27510/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.53.down_proj:  75%|███████▌  | 27511/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.54.gate_proj:  75%|███████▌  | 27512/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.54.up_proj:  75%|███████▌  | 27513/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.54.down_proj:  75%|███████▌  | 27514/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.55.gate_proj:  75%|███████▌  | 27515/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.55.up_proj:  75%|███████▌  | 27516/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.55.down_proj:  75%|███████▌  | 27517/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.56.gate_proj:  75%|███████▌  | 27518/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.56.up_proj:  75%|███████▌  | 27519/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.56.down_proj:  75%|███████▌  | 27520/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.57.gate_proj:  75%|███████▌  | 27521/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.57.up_proj:  75%|███████▌  | 27522/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.57.down_proj:  75%|███████▌  | 27523/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.58.gate_proj:  75%|███████▌  | 27524/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.58.up_proj:  75%|███████▌  | 27525/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.58.down_proj:  75%|███████▌  | 27526/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.59.gate_proj:  75%|███████▌  | 27527/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.59.up_proj:  75%|███████▌  | 27528/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.59.down_proj:  75%|███████▌  | 27529/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.60.gate_proj:  75%|███████▌  | 27530/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.60.up_proj:  75%|███████▌  | 27531/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.60.down_proj:  75%|███████▌  | 27532/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.61.gate_proj:  75%|███████▌  | 27533/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.61.up_proj:  75%|███████▌  | 27534/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.61.down_proj:  75%|███████▌  | 27535/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.62.gate_proj:  75%|███████▌  | 27536/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.62.up_proj:  75%|███████▌  | 27537/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.62.down_proj:  75%|███████▌  | 27538/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.63.gate_proj:  75%|███████▌  | 27539/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.63.up_proj:  75%|███████▌  | 27540/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.63.down_proj:  75%|███████▌  | 27541/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.64.gate_proj:  75%|███████▌  | 27542/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.64.up_proj:  75%|███████▌  | 27543/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.64.down_proj:  75%|███████▌  | 27544/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.65.gate_proj:  75%|███████▌  | 27545/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.65.up_proj:  75%|███████▌  | 27546/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.65.down_proj:  75%|███████▌  | 27547/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.66.gate_proj:  75%|███████▌  | 27548/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.66.up_proj:  75%|███████▌  | 27549/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.66.down_proj:  75%|███████▌  | 27550/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.67.gate_proj:  75%|███████▌  | 27551/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.67.up_proj:  75%|███████▌  | 27552/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.67.down_proj:  75%|███████▌  | 27553/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.68.gate_proj:  75%|███████▌  | 27554/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.68.up_proj:  75%|███████▌  | 27555/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.68.down_proj:  75%|███████▌  | 27556/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.69.gate_proj:  75%|███████▌  | 27557/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.69.up_proj:  75%|███████▌  | 27558/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.69.down_proj:  75%|███████▌  | 27559/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.70.gate_proj:  75%|███████▌  | 27560/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.70.up_proj:  75%|███████▌  | 27561/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.70.down_proj:  75%|███████▌  | 27562/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.71.gate_proj:  75%|███████▌  | 27563/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.71.up_proj:  75%|███████▌  | 27564/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.71.down_proj:  75%|███████▌  | 27565/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.72.gate_proj:  75%|███████▌  | 27566/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.72.up_proj:  75%|███████▌  | 27567/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.72.down_proj:  75%|███████▌  | 27568/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.73.gate_proj:  75%|███████▌  | 27569/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.73.up_proj:  75%|███████▌  | 27570/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.73.down_proj:  75%|███████▌  | 27571/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.74.gate_proj:  75%|███████▌  | 27572/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.74.up_proj:  75%|███████▌  | 27573/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.74.down_proj:  75%|███████▌  | 27574/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.75.gate_proj:  75%|███████▌  | 27575/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.75.up_proj:  75%|███████▌  | 27576/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.75.down_proj:  75%|███████▌  | 27577/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.76.gate_proj:  75%|███████▌  | 27578/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.76.up_proj:  75%|███████▌  | 27579/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.76.down_proj:  75%|███████▌  | 27580/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.77.gate_proj:  75%|███████▌  | 27581/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.77.up_proj:  75%|███████▌  | 27582/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.77.down_proj:  75%|███████▌  | 27583/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.78.gate_proj:  75%|███████▌  | 27584/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.78.up_proj:  75%|███████▌  | 27585/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.78.down_proj:  75%|███████▌  | 27586/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.79.gate_proj:  75%|███████▌  | 27587/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.79.up_proj:  75%|███████▌  | 27588/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.79.down_proj:  75%|███████▌  | 27589/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.80.gate_proj:  75%|███████▌  | 27590/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.80.up_proj:  75%|███████▌  | 27591/36566 [00:24<00:07, 1163.62it/s]  
packing model.layers.70.mlp.experts.80.down_proj:  75%|███████▌  | 27592/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.81.gate_proj:  75%|███████▌  | 27593/36566 [00:24<00:07, 1163.62it/s]
packing model.layers.70.mlp.experts.81.gate_proj:  75%|███████▌  | 27594/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.81.up_proj:  75%|███████▌  | 27594/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.81.down_proj:  75%|███████▌  | 27595/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.82.gate_proj:  75%|███████▌  | 27596/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.82.up_proj:  75%|███████▌  | 27597/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.82.down_proj:  75%|███████▌  | 27598/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.83.gate_proj:  75%|███████▌  | 27599/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.83.up_proj:  75%|███████▌  | 27600/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.83.down_proj:  75%|███████▌  | 27601/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.84.gate_proj:  75%|███████▌  | 27602/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.84.up_proj:  75%|███████▌  | 27603/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.84.down_proj:  75%|███████▌  | 27604/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.85.gate_proj:  75%|███████▌  | 27605/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.85.up_proj:  75%|███████▌  | 27606/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.85.down_proj:  75%|███████▌  | 27607/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.86.gate_proj:  76%|███████▌  | 27608/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.86.up_proj:  76%|███████▌  | 27609/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.86.down_proj:  76%|███████▌  | 27610/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.87.gate_proj:  76%|███████▌  | 27611/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.87.up_proj:  76%|███████▌  | 27612/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.87.down_proj:  76%|███████▌  | 27613/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.88.gate_proj:  76%|███████▌  | 27614/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.88.up_proj:  76%|███████▌  | 27615/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.88.down_proj:  76%|███████▌  | 27616/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.89.gate_proj:  76%|███████▌  | 27617/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.89.up_proj:  76%|███████▌  | 27618/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.89.down_proj:  76%|███████▌  | 27619/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.90.gate_proj:  76%|███████▌  | 27620/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.90.up_proj:  76%|███████▌  | 27621/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.90.down_proj:  76%|███████▌  | 27622/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.91.gate_proj:  76%|███████▌  | 27623/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.91.up_proj:  76%|███████▌  | 27624/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.91.down_proj:  76%|███████▌  | 27625/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.92.gate_proj:  76%|███████▌  | 27626/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.92.up_proj:  76%|███████▌  | 27627/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.92.down_proj:  76%|███████▌  | 27628/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.93.gate_proj:  76%|███████▌  | 27629/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.93.up_proj:  76%|███████▌  | 27630/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.93.down_proj:  76%|███████▌  | 27631/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.94.gate_proj:  76%|███████▌  | 27632/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.94.up_proj:  76%|███████▌  | 27633/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.94.down_proj:  76%|███████▌  | 27634/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.95.gate_proj:  76%|███████▌  | 27635/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.95.up_proj:  76%|███████▌  | 27636/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.95.down_proj:  76%|███████▌  | 27637/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.96.gate_proj:  76%|███████▌  | 27638/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.96.up_proj:  76%|███████▌  | 27639/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.96.down_proj:  76%|███████▌  | 27640/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.97.gate_proj:  76%|███████▌  | 27641/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.97.up_proj:  76%|███████▌  | 27642/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.97.down_proj:  76%|███████▌  | 27643/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.98.gate_proj:  76%|███████▌  | 27644/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.98.up_proj:  76%|███████▌  | 27645/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.98.down_proj:  76%|███████▌  | 27646/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.99.gate_proj:  76%|███████▌  | 27647/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.99.up_proj:  76%|███████▌  | 27648/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.99.down_proj:  76%|███████▌  | 27649/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.100.gate_proj:  76%|███████▌  | 27650/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.100.up_proj:  76%|███████▌  | 27651/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.100.down_proj:  76%|███████▌  | 27652/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.101.gate_proj:  76%|███████▌  | 27653/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.101.up_proj:  76%|███████▌  | 27654/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.101.down_proj:  76%|███████▌  | 27655/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.102.gate_proj:  76%|███████▌  | 27656/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.102.up_proj:  76%|███████▌  | 27657/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.102.down_proj:  76%|███████▌  | 27658/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.103.gate_proj:  76%|███████▌  | 27659/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.103.up_proj:  76%|███████▌  | 27660/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.103.down_proj:  76%|███████▌  | 27661/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.104.gate_proj:  76%|███████▌  | 27662/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.104.up_proj:  76%|███████▌  | 27663/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.104.down_proj:  76%|███████▌  | 27664/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.105.gate_proj:  76%|███████▌  | 27665/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.105.up_proj:  76%|███████▌  | 27666/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.105.down_proj:  76%|███████▌  | 27667/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.106.gate_proj:  76%|███████▌  | 27668/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.106.up_proj:  76%|███████▌  | 27669/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.106.down_proj:  76%|███████▌  | 27670/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.107.gate_proj:  76%|███████▌  | 27671/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.107.up_proj:  76%|███████▌  | 27672/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.107.down_proj:  76%|███████▌  | 27673/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.108.gate_proj:  76%|███████▌  | 27674/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.108.up_proj:  76%|███████▌  | 27675/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.108.down_proj:  76%|███████▌  | 27676/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.109.gate_proj:  76%|███████▌  | 27677/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.109.up_proj:  76%|███████▌  | 27678/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.109.down_proj:  76%|███████▌  | 27679/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.110.gate_proj:  76%|███████▌  | 27680/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.110.up_proj:  76%|███████▌  | 27681/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.110.down_proj:  76%|███████▌  | 27682/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.111.gate_proj:  76%|███████▌  | 27683/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.111.up_proj:  76%|███████▌  | 27684/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.111.down_proj:  76%|███████▌  | 27685/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.112.gate_proj:  76%|███████▌  | 27686/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.112.up_proj:  76%|███████▌  | 27687/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.112.down_proj:  76%|███████▌  | 27688/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.113.gate_proj:  76%|███████▌  | 27689/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.113.up_proj:  76%|███████▌  | 27690/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.113.down_proj:  76%|███████▌  | 27691/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.114.gate_proj:  76%|███████▌  | 27692/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.114.up_proj:  76%|███████▌  | 27693/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.114.down_proj:  76%|███████▌  | 27694/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.115.gate_proj:  76%|███████▌  | 27695/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.115.up_proj:  76%|███████▌  | 27696/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.115.down_proj:  76%|███████▌  | 27697/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.116.gate_proj:  76%|███████▌  | 27698/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.116.up_proj:  76%|███████▌  | 27699/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.116.down_proj:  76%|███████▌  | 27700/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.117.gate_proj:  76%|███████▌  | 27701/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.117.up_proj:  76%|███████▌  | 27702/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.117.down_proj:  76%|███████▌  | 27703/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.118.gate_proj:  76%|███████▌  | 27704/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.118.up_proj:  76%|███████▌  | 27705/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.118.down_proj:  76%|███████▌  | 27706/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.119.gate_proj:  76%|███████▌  | 27707/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.119.up_proj:  76%|███████▌  | 27708/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.119.down_proj:  76%|███████▌  | 27709/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.120.gate_proj:  76%|███████▌  | 27710/36566 [00:24<00:07, 1166.23it/s]
packing model.layers.70.mlp.experts.120.up_proj:  76%|███████▌  | 27711/36566 [00:24<00:07, 1166.23it/s]  
packing model.layers.70.mlp.experts.120.up_proj:  76%|███████▌  | 27712/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.70.mlp.experts.120.down_proj:  76%|███████▌  | 27712/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.70.mlp.experts.121.gate_proj:  76%|███████▌  | 27713/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.70.mlp.experts.121.up_proj:  76%|███████▌  | 27714/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.70.mlp.experts.121.down_proj:  76%|███████▌  | 27715/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.70.mlp.experts.122.gate_proj:  76%|███████▌  | 27716/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.70.mlp.experts.122.up_proj:  76%|███████▌  | 27717/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.70.mlp.experts.122.down_proj:  76%|███████▌  | 27718/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.70.mlp.experts.123.gate_proj:  76%|███████▌  | 27719/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.70.mlp.experts.123.up_proj:  76%|███████▌  | 27720/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.70.mlp.experts.123.down_proj:  76%|███████▌  | 27721/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.70.mlp.experts.124.gate_proj:  76%|███████▌  | 27722/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.70.mlp.experts.124.up_proj:  76%|███████▌  | 27723/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.70.mlp.experts.124.down_proj:  76%|███████▌  | 27724/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.70.mlp.experts.125.gate_proj:  76%|███████▌  | 27725/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.70.mlp.experts.125.up_proj:  76%|███████▌  | 27726/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.70.mlp.experts.125.down_proj:  76%|███████▌  | 27727/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.70.mlp.experts.126.gate_proj:  76%|███████▌  | 27728/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.70.mlp.experts.126.up_proj:  76%|███████▌  | 27729/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.70.mlp.experts.126.down_proj:  76%|███████▌  | 27730/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.70.mlp.experts.127.gate_proj:  76%|███████▌  | 27731/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.70.mlp.experts.127.up_proj:  76%|███████▌  | 27732/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.70.mlp.experts.127.down_proj:  76%|███████▌  | 27733/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.0.gate_proj:  76%|███████▌  | 27734/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.0.up_proj:  76%|███████▌  | 27735/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.0.down_proj:  76%|███████▌  | 27736/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.1.gate_proj:  76%|███████▌  | 27737/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.1.up_proj:  76%|███████▌  | 27738/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.1.down_proj:  76%|███████▌  | 27739/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.2.gate_proj:  76%|███████▌  | 27740/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.2.up_proj:  76%|███████▌  | 27741/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.2.down_proj:  76%|███████▌  | 27742/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.3.gate_proj:  76%|███████▌  | 27743/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.3.up_proj:  76%|███████▌  | 27744/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.3.down_proj:  76%|███████▌  | 27745/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.4.gate_proj:  76%|███████▌  | 27746/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.4.up_proj:  76%|███████▌  | 27747/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.4.down_proj:  76%|███████▌  | 27748/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.5.gate_proj:  76%|███████▌  | 27749/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.5.up_proj:  76%|███████▌  | 27750/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.5.down_proj:  76%|███████▌  | 27751/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.6.gate_proj:  76%|███████▌  | 27752/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.6.up_proj:  76%|███████▌  | 27753/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.6.down_proj:  76%|███████▌  | 27754/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.7.gate_proj:  76%|███████▌  | 27755/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.7.up_proj:  76%|███████▌  | 27756/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.7.down_proj:  76%|███████▌  | 27757/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.8.gate_proj:  76%|███████▌  | 27758/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.8.up_proj:  76%|███████▌  | 27759/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.8.down_proj:  76%|███████▌  | 27760/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.9.gate_proj:  76%|███████▌  | 27761/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.9.up_proj:  76%|███████▌  | 27762/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.9.down_proj:  76%|███████▌  | 27763/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.10.gate_proj:  76%|███████▌  | 27764/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.10.up_proj:  76%|███████▌  | 27765/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.10.down_proj:  76%|███████▌  | 27766/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.11.gate_proj:  76%|███████▌  | 27767/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.11.up_proj:  76%|███████▌  | 27768/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.11.down_proj:  76%|███████▌  | 27769/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.12.gate_proj:  76%|███████▌  | 27770/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.12.up_proj:  76%|███████▌  | 27771/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.12.down_proj:  76%|███████▌  | 27772/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.13.gate_proj:  76%|███████▌  | 27773/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.13.up_proj:  76%|███████▌  | 27774/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.13.down_proj:  76%|███████▌  | 27775/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.14.gate_proj:  76%|███████▌  | 27776/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.14.up_proj:  76%|███████▌  | 27777/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.14.down_proj:  76%|███████▌  | 27778/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.15.gate_proj:  76%|███████▌  | 27779/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.15.up_proj:  76%|███████▌  | 27780/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.15.down_proj:  76%|███████▌  | 27781/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.16.gate_proj:  76%|███████▌  | 27782/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.16.up_proj:  76%|███████▌  | 27783/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.16.down_proj:  76%|███████▌  | 27784/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.17.gate_proj:  76%|███████▌  | 27785/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.17.up_proj:  76%|███████▌  | 27786/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.17.down_proj:  76%|███████▌  | 27787/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.18.gate_proj:  76%|███████▌  | 27788/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.18.up_proj:  76%|███████▌  | 27789/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.18.down_proj:  76%|███████▌  | 27790/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.19.gate_proj:  76%|███████▌  | 27791/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.19.up_proj:  76%|███████▌  | 27792/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.19.down_proj:  76%|███████▌  | 27793/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.20.gate_proj:  76%|███████▌  | 27794/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.20.up_proj:  76%|███████▌  | 27795/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.20.down_proj:  76%|███████▌  | 27796/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.21.gate_proj:  76%|███████▌  | 27797/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.21.up_proj:  76%|███████▌  | 27798/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.21.down_proj:  76%|███████▌  | 27799/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.22.gate_proj:  76%|███████▌  | 27800/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.22.up_proj:  76%|███████▌  | 27801/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.22.down_proj:  76%|███████▌  | 27802/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.23.gate_proj:  76%|███████▌  | 27803/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.23.up_proj:  76%|███████▌  | 27804/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.23.down_proj:  76%|███████▌  | 27805/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.24.gate_proj:  76%|███████▌  | 27806/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.24.up_proj:  76%|███████▌  | 27807/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.24.down_proj:  76%|███████▌  | 27808/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.25.gate_proj:  76%|███████▌  | 27809/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.25.up_proj:  76%|███████▌  | 27810/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.25.down_proj:  76%|███████▌  | 27811/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.26.gate_proj:  76%|███████▌  | 27812/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.26.up_proj:  76%|███████▌  | 27813/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.26.down_proj:  76%|███████▌  | 27814/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.27.gate_proj:  76%|███████▌  | 27815/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.27.up_proj:  76%|███████▌  | 27816/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.27.down_proj:  76%|███████▌  | 27817/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.28.gate_proj:  76%|███████▌  | 27818/36566 [00:24<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.28.up_proj:  76%|███████▌  | 27819/36566 [00:24<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.28.down_proj:  76%|███████▌  | 27820/36566 [00:25<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.29.gate_proj:  76%|███████▌  | 27821/36566 [00:25<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.29.up_proj:  76%|███████▌  | 27822/36566 [00:25<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.29.down_proj:  76%|███████▌  | 27823/36566 [00:25<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.30.gate_proj:  76%|███████▌  | 27824/36566 [00:25<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.30.up_proj:  76%|███████▌  | 27825/36566 [00:25<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.30.down_proj:  76%|███████▌  | 27826/36566 [00:25<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.31.gate_proj:  76%|███████▌  | 27827/36566 [00:25<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.31.up_proj:  76%|███████▌  | 27828/36566 [00:25<00:07, 1167.91it/s]  
packing model.layers.71.mlp.experts.31.down_proj:  76%|███████▌  | 27829/36566 [00:25<00:07, 1167.91it/s]
packing model.layers.71.mlp.experts.31.down_proj:  76%|███████▌  | 27830/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.32.gate_proj:  76%|███████▌  | 27830/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.32.up_proj:  76%|███████▌  | 27831/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.32.down_proj:  76%|███████▌  | 27832/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.33.gate_proj:  76%|███████▌  | 27833/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.33.up_proj:  76%|███████▌  | 27834/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.33.down_proj:  76%|███████▌  | 27835/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.34.gate_proj:  76%|███████▌  | 27836/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.34.up_proj:  76%|███████▌  | 27837/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.34.down_proj:  76%|███████▌  | 27838/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.35.gate_proj:  76%|███████▌  | 27839/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.35.up_proj:  76%|███████▌  | 27840/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.35.down_proj:  76%|███████▌  | 27841/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.36.gate_proj:  76%|███████▌  | 27842/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.36.up_proj:  76%|███████▌  | 27843/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.36.down_proj:  76%|███████▌  | 27844/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.37.gate_proj:  76%|███████▌  | 27845/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.37.up_proj:  76%|███████▌  | 27846/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.37.down_proj:  76%|███████▌  | 27847/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.38.gate_proj:  76%|███████▌  | 27848/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.38.up_proj:  76%|███████▌  | 27849/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.38.down_proj:  76%|███████▌  | 27850/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.39.gate_proj:  76%|███████▌  | 27851/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.39.up_proj:  76%|███████▌  | 27852/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.39.down_proj:  76%|███████▌  | 27853/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.40.gate_proj:  76%|███████▌  | 27854/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.40.up_proj:  76%|███████▌  | 27855/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.40.down_proj:  76%|███████▌  | 27856/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.41.gate_proj:  76%|███████▌  | 27857/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.41.up_proj:  76%|███████▌  | 27858/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.41.down_proj:  76%|███████▌  | 27859/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.42.gate_proj:  76%|███████▌  | 27860/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.42.up_proj:  76%|███████▌  | 27861/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.42.down_proj:  76%|███████▌  | 27862/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.43.gate_proj:  76%|███████▌  | 27863/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.43.up_proj:  76%|███████▌  | 27864/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.43.down_proj:  76%|███████▌  | 27865/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.44.gate_proj:  76%|███████▌  | 27866/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.44.up_proj:  76%|███████▌  | 27867/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.44.down_proj:  76%|███████▌  | 27868/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.45.gate_proj:  76%|███████▌  | 27869/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.45.up_proj:  76%|███████▌  | 27870/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.45.down_proj:  76%|███████▌  | 27871/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.46.gate_proj:  76%|███████▌  | 27872/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.46.up_proj:  76%|███████▌  | 27873/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.46.down_proj:  76%|███████▌  | 27874/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.47.gate_proj:  76%|███████▌  | 27875/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.47.up_proj:  76%|███████▌  | 27876/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.47.down_proj:  76%|███████▌  | 27877/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.48.gate_proj:  76%|███████▌  | 27878/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.48.up_proj:  76%|███████▌  | 27879/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.48.down_proj:  76%|███████▌  | 27880/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.49.gate_proj:  76%|███████▌  | 27881/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.49.up_proj:  76%|███████▋  | 27882/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.49.down_proj:  76%|███████▋  | 27883/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.50.gate_proj:  76%|███████▋  | 27884/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.50.up_proj:  76%|███████▋  | 27885/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.50.down_proj:  76%|███████▋  | 27886/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.51.gate_proj:  76%|███████▋  | 27887/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.51.up_proj:  76%|███████▋  | 27888/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.51.down_proj:  76%|███████▋  | 27889/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.52.gate_proj:  76%|███████▋  | 27890/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.52.up_proj:  76%|███████▋  | 27891/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.52.down_proj:  76%|███████▋  | 27892/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.53.gate_proj:  76%|███████▋  | 27893/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.53.up_proj:  76%|███████▋  | 27894/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.53.down_proj:  76%|███████▋  | 27895/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.54.gate_proj:  76%|███████▋  | 27896/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.54.up_proj:  76%|███████▋  | 27897/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.54.down_proj:  76%|███████▋  | 27898/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.55.gate_proj:  76%|███████▋  | 27899/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.55.up_proj:  76%|███████▋  | 27900/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.55.down_proj:  76%|███████▋  | 27901/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.56.gate_proj:  76%|███████▋  | 27902/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.56.up_proj:  76%|███████▋  | 27903/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.56.down_proj:  76%|███████▋  | 27904/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.57.gate_proj:  76%|███████▋  | 27905/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.57.up_proj:  76%|███████▋  | 27906/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.57.down_proj:  76%|███████▋  | 27907/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.58.gate_proj:  76%|███████▋  | 27908/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.58.up_proj:  76%|███████▋  | 27909/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.58.down_proj:  76%|███████▋  | 27910/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.59.gate_proj:  76%|███████▋  | 27911/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.59.up_proj:  76%|███████▋  | 27912/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.59.down_proj:  76%|███████▋  | 27913/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.60.gate_proj:  76%|███████▋  | 27914/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.60.up_proj:  76%|███████▋  | 27915/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.60.down_proj:  76%|███████▋  | 27916/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.61.gate_proj:  76%|███████▋  | 27917/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.61.up_proj:  76%|███████▋  | 27918/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.61.down_proj:  76%|███████▋  | 27919/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.62.gate_proj:  76%|███████▋  | 27920/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.62.up_proj:  76%|███████▋  | 27921/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.62.down_proj:  76%|███████▋  | 27922/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.63.gate_proj:  76%|███████▋  | 27923/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.63.up_proj:  76%|███████▋  | 27924/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.63.down_proj:  76%|███████▋  | 27925/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.64.gate_proj:  76%|███████▋  | 27926/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.64.up_proj:  76%|███████▋  | 27927/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.64.down_proj:  76%|███████▋  | 27928/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.65.gate_proj:  76%|███████▋  | 27929/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.65.up_proj:  76%|███████▋  | 27930/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.65.down_proj:  76%|███████▋  | 27931/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.66.gate_proj:  76%|███████▋  | 27932/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.66.up_proj:  76%|███████▋  | 27933/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.66.down_proj:  76%|███████▋  | 27934/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.67.gate_proj:  76%|███████▋  | 27935/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.67.up_proj:  76%|███████▋  | 27936/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.67.down_proj:  76%|███████▋  | 27937/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.68.gate_proj:  76%|███████▋  | 27938/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.68.up_proj:  76%|███████▋  | 27939/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.68.down_proj:  76%|███████▋  | 27940/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.69.gate_proj:  76%|███████▋  | 27941/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.69.up_proj:  76%|███████▋  | 27942/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.69.down_proj:  76%|███████▋  | 27943/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.70.gate_proj:  76%|███████▋  | 27944/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.70.up_proj:  76%|███████▋  | 27945/36566 [00:25<00:07, 1171.18it/s]  
packing model.layers.71.mlp.experts.70.down_proj:  76%|███████▋  | 27946/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.71.gate_proj:  76%|███████▋  | 27947/36566 [00:25<00:07, 1171.18it/s]
packing model.layers.71.mlp.experts.71.gate_proj:  76%|███████▋  | 27948/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.71.up_proj:  76%|███████▋  | 27948/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.71.down_proj:  76%|███████▋  | 27949/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.72.gate_proj:  76%|███████▋  | 27950/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.72.up_proj:  76%|███████▋  | 27951/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.72.down_proj:  76%|███████▋  | 27952/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.73.gate_proj:  76%|███████▋  | 27953/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.73.up_proj:  76%|███████▋  | 27954/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.73.down_proj:  76%|███████▋  | 27955/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.74.gate_proj:  76%|███████▋  | 27956/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.74.up_proj:  76%|███████▋  | 27957/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.74.down_proj:  76%|███████▋  | 27958/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.75.gate_proj:  76%|███████▋  | 27959/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.75.up_proj:  76%|███████▋  | 27960/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.75.down_proj:  76%|███████▋  | 27961/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.76.gate_proj:  76%|███████▋  | 27962/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.76.up_proj:  76%|███████▋  | 27963/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.76.down_proj:  76%|███████▋  | 27964/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.77.gate_proj:  76%|███████▋  | 27965/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.77.up_proj:  76%|███████▋  | 27966/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.77.down_proj:  76%|███████▋  | 27967/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.78.gate_proj:  76%|███████▋  | 27968/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.78.up_proj:  76%|███████▋  | 27969/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.78.down_proj:  76%|███████▋  | 27970/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.79.gate_proj:  76%|███████▋  | 27971/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.79.up_proj:  76%|███████▋  | 27972/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.79.down_proj:  77%|███████▋  | 27973/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.80.gate_proj:  77%|███████▋  | 27974/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.80.up_proj:  77%|███████▋  | 27975/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.80.down_proj:  77%|███████▋  | 27976/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.81.gate_proj:  77%|███████▋  | 27977/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.81.up_proj:  77%|███████▋  | 27978/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.81.down_proj:  77%|███████▋  | 27979/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.82.gate_proj:  77%|███████▋  | 27980/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.82.up_proj:  77%|███████▋  | 27981/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.82.down_proj:  77%|███████▋  | 27982/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.83.gate_proj:  77%|███████▋  | 27983/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.83.up_proj:  77%|███████▋  | 27984/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.83.down_proj:  77%|███████▋  | 27985/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.84.gate_proj:  77%|███████▋  | 27986/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.84.up_proj:  77%|███████▋  | 27987/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.84.down_proj:  77%|███████▋  | 27988/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.85.gate_proj:  77%|███████▋  | 27989/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.85.up_proj:  77%|███████▋  | 27990/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.85.down_proj:  77%|███████▋  | 27991/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.86.gate_proj:  77%|███████▋  | 27992/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.86.up_proj:  77%|███████▋  | 27993/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.86.down_proj:  77%|███████▋  | 27994/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.87.gate_proj:  77%|███████▋  | 27995/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.87.up_proj:  77%|███████▋  | 27996/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.87.down_proj:  77%|███████▋  | 27997/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.88.gate_proj:  77%|███████▋  | 27998/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.88.up_proj:  77%|███████▋  | 27999/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.88.down_proj:  77%|███████▋  | 28000/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.89.gate_proj:  77%|███████▋  | 28001/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.89.up_proj:  77%|███████▋  | 28002/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.89.down_proj:  77%|███████▋  | 28003/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.90.gate_proj:  77%|███████▋  | 28004/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.90.up_proj:  77%|███████▋  | 28005/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.90.down_proj:  77%|███████▋  | 28006/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.91.gate_proj:  77%|███████▋  | 28007/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.91.up_proj:  77%|███████▋  | 28008/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.91.down_proj:  77%|███████▋  | 28009/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.92.gate_proj:  77%|███████▋  | 28010/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.92.up_proj:  77%|███████▋  | 28011/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.92.down_proj:  77%|███████▋  | 28012/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.93.gate_proj:  77%|███████▋  | 28013/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.93.up_proj:  77%|███████▋  | 28014/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.93.down_proj:  77%|███████▋  | 28015/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.94.gate_proj:  77%|███████▋  | 28016/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.94.up_proj:  77%|███████▋  | 28017/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.94.down_proj:  77%|███████▋  | 28018/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.95.gate_proj:  77%|███████▋  | 28019/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.95.up_proj:  77%|███████▋  | 28020/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.95.down_proj:  77%|███████▋  | 28021/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.96.gate_proj:  77%|███████▋  | 28022/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.96.up_proj:  77%|███████▋  | 28023/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.96.down_proj:  77%|███████▋  | 28024/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.97.gate_proj:  77%|███████▋  | 28025/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.97.up_proj:  77%|███████▋  | 28026/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.97.down_proj:  77%|███████▋  | 28027/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.98.gate_proj:  77%|███████▋  | 28028/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.98.up_proj:  77%|███████▋  | 28029/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.98.down_proj:  77%|███████▋  | 28030/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.99.gate_proj:  77%|███████▋  | 28031/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.99.up_proj:  77%|███████▋  | 28032/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.99.down_proj:  77%|███████▋  | 28033/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.100.gate_proj:  77%|███████▋  | 28034/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.100.up_proj:  77%|███████▋  | 28035/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.100.down_proj:  77%|███████▋  | 28036/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.101.gate_proj:  77%|███████▋  | 28037/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.101.up_proj:  77%|███████▋  | 28038/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.101.down_proj:  77%|███████▋  | 28039/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.102.gate_proj:  77%|███████▋  | 28040/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.102.up_proj:  77%|███████▋  | 28041/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.102.down_proj:  77%|███████▋  | 28042/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.103.gate_proj:  77%|███████▋  | 28043/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.103.up_proj:  77%|███████▋  | 28044/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.103.down_proj:  77%|███████▋  | 28045/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.104.gate_proj:  77%|███████▋  | 28046/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.104.up_proj:  77%|███████▋  | 28047/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.104.down_proj:  77%|███████▋  | 28048/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.105.gate_proj:  77%|███████▋  | 28049/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.105.up_proj:  77%|███████▋  | 28050/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.105.down_proj:  77%|███████▋  | 28051/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.106.gate_proj:  77%|███████▋  | 28052/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.106.up_proj:  77%|███████▋  | 28053/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.106.down_proj:  77%|███████▋  | 28054/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.107.gate_proj:  77%|███████▋  | 28055/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.107.up_proj:  77%|███████▋  | 28056/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.107.down_proj:  77%|███████▋  | 28057/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.108.gate_proj:  77%|███████▋  | 28058/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.108.up_proj:  77%|███████▋  | 28059/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.108.down_proj:  77%|███████▋  | 28060/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.109.gate_proj:  77%|███████▋  | 28061/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.109.up_proj:  77%|███████▋  | 28062/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.109.down_proj:  77%|███████▋  | 28063/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.110.gate_proj:  77%|███████▋  | 28064/36566 [00:25<00:07, 1171.72it/s]
packing model.layers.71.mlp.experts.110.up_proj:  77%|███████▋  | 28065/36566 [00:25<00:07, 1171.72it/s]  
packing model.layers.71.mlp.experts.110.up_proj:  77%|███████▋  | 28066/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.110.down_proj:  77%|███████▋  | 28066/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.111.gate_proj:  77%|███████▋  | 28067/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.111.up_proj:  77%|███████▋  | 28068/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.111.down_proj:  77%|███████▋  | 28069/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.112.gate_proj:  77%|███████▋  | 28070/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.112.up_proj:  77%|███████▋  | 28071/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.112.down_proj:  77%|███████▋  | 28072/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.113.gate_proj:  77%|███████▋  | 28073/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.113.up_proj:  77%|███████▋  | 28074/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.113.down_proj:  77%|███████▋  | 28075/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.114.gate_proj:  77%|███████▋  | 28076/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.114.up_proj:  77%|███████▋  | 28077/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.114.down_proj:  77%|███████▋  | 28078/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.115.gate_proj:  77%|███████▋  | 28079/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.115.up_proj:  77%|███████▋  | 28080/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.115.down_proj:  77%|███████▋  | 28081/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.116.gate_proj:  77%|███████▋  | 28082/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.116.up_proj:  77%|███████▋  | 28083/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.116.down_proj:  77%|███████▋  | 28084/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.117.gate_proj:  77%|███████▋  | 28085/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.117.up_proj:  77%|███████▋  | 28086/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.117.down_proj:  77%|███████▋  | 28087/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.118.gate_proj:  77%|███████▋  | 28088/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.118.up_proj:  77%|███████▋  | 28089/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.118.down_proj:  77%|███████▋  | 28090/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.119.gate_proj:  77%|███████▋  | 28091/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.119.up_proj:  77%|███████▋  | 28092/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.119.down_proj:  77%|███████▋  | 28093/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.120.gate_proj:  77%|███████▋  | 28094/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.120.up_proj:  77%|███████▋  | 28095/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.120.down_proj:  77%|███████▋  | 28096/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.121.gate_proj:  77%|███████▋  | 28097/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.121.up_proj:  77%|███████▋  | 28098/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.121.down_proj:  77%|███████▋  | 28099/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.122.gate_proj:  77%|███████▋  | 28100/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.122.up_proj:  77%|███████▋  | 28101/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.122.down_proj:  77%|███████▋  | 28102/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.123.gate_proj:  77%|███████▋  | 28103/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.123.up_proj:  77%|███████▋  | 28104/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.123.down_proj:  77%|███████▋  | 28105/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.124.gate_proj:  77%|███████▋  | 28106/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.124.up_proj:  77%|███████▋  | 28107/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.124.down_proj:  77%|███████▋  | 28108/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.125.gate_proj:  77%|███████▋  | 28109/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.125.up_proj:  77%|███████▋  | 28110/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.125.down_proj:  77%|███████▋  | 28111/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.126.gate_proj:  77%|███████▋  | 28112/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.126.up_proj:  77%|███████▋  | 28113/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.126.down_proj:  77%|███████▋  | 28114/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.127.gate_proj:  77%|███████▋  | 28115/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.71.mlp.experts.127.up_proj:  77%|███████▋  | 28116/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.71.mlp.experts.127.down_proj:  77%|███████▋  | 28117/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.0.gate_proj:  77%|███████▋  | 28118/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.0.up_proj:  77%|███████▋  | 28119/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.0.down_proj:  77%|███████▋  | 28120/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.1.gate_proj:  77%|███████▋  | 28121/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.1.up_proj:  77%|███████▋  | 28122/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.1.down_proj:  77%|███████▋  | 28123/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.2.gate_proj:  77%|███████▋  | 28124/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.2.up_proj:  77%|███████▋  | 28125/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.2.down_proj:  77%|███████▋  | 28126/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.3.gate_proj:  77%|███████▋  | 28127/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.3.up_proj:  77%|███████▋  | 28128/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.3.down_proj:  77%|███████▋  | 28129/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.4.gate_proj:  77%|███████▋  | 28130/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.4.up_proj:  77%|███████▋  | 28131/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.4.down_proj:  77%|███████▋  | 28132/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.5.gate_proj:  77%|███████▋  | 28133/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.5.up_proj:  77%|███████▋  | 28134/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.5.down_proj:  77%|███████▋  | 28135/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.6.gate_proj:  77%|███████▋  | 28136/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.6.up_proj:  77%|███████▋  | 28137/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.6.down_proj:  77%|███████▋  | 28138/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.7.gate_proj:  77%|███████▋  | 28139/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.7.up_proj:  77%|███████▋  | 28140/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.7.down_proj:  77%|███████▋  | 28141/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.8.gate_proj:  77%|███████▋  | 28142/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.8.up_proj:  77%|███████▋  | 28143/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.8.down_proj:  77%|███████▋  | 28144/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.9.gate_proj:  77%|███████▋  | 28145/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.9.up_proj:  77%|███████▋  | 28146/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.9.down_proj:  77%|███████▋  | 28147/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.10.gate_proj:  77%|███████▋  | 28148/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.10.up_proj:  77%|███████▋  | 28149/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.10.down_proj:  77%|███████▋  | 28150/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.11.gate_proj:  77%|███████▋  | 28151/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.11.up_proj:  77%|███████▋  | 28152/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.11.down_proj:  77%|███████▋  | 28153/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.12.gate_proj:  77%|███████▋  | 28154/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.12.up_proj:  77%|███████▋  | 28155/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.12.down_proj:  77%|███████▋  | 28156/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.13.gate_proj:  77%|███████▋  | 28157/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.13.up_proj:  77%|███████▋  | 28158/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.13.down_proj:  77%|███████▋  | 28159/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.14.gate_proj:  77%|███████▋  | 28160/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.14.up_proj:  77%|███████▋  | 28161/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.14.down_proj:  77%|███████▋  | 28162/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.15.gate_proj:  77%|███████▋  | 28163/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.15.up_proj:  77%|███████▋  | 28164/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.15.down_proj:  77%|███████▋  | 28165/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.16.gate_proj:  77%|███████▋  | 28166/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.16.up_proj:  77%|███████▋  | 28167/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.16.down_proj:  77%|███████▋  | 28168/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.17.gate_proj:  77%|███████▋  | 28169/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.17.up_proj:  77%|███████▋  | 28170/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.17.down_proj:  77%|███████▋  | 28171/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.18.gate_proj:  77%|███████▋  | 28172/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.18.up_proj:  77%|███████▋  | 28173/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.18.down_proj:  77%|███████▋  | 28174/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.19.gate_proj:  77%|███████▋  | 28175/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.19.up_proj:  77%|███████▋  | 28176/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.19.down_proj:  77%|███████▋  | 28177/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.20.gate_proj:  77%|███████▋  | 28178/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.20.up_proj:  77%|███████▋  | 28179/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.20.down_proj:  77%|███████▋  | 28180/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.21.gate_proj:  77%|███████▋  | 28181/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.21.up_proj:  77%|███████▋  | 28182/36566 [00:25<00:07, 1172.92it/s]  
packing model.layers.72.mlp.experts.21.down_proj:  77%|███████▋  | 28183/36566 [00:25<00:07, 1172.92it/s]
packing model.layers.72.mlp.experts.21.down_proj:  77%|███████▋  | 28184/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.22.gate_proj:  77%|███████▋  | 28184/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.22.up_proj:  77%|███████▋  | 28185/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.22.down_proj:  77%|███████▋  | 28186/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.23.gate_proj:  77%|███████▋  | 28187/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.23.up_proj:  77%|███████▋  | 28188/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.23.down_proj:  77%|███████▋  | 28189/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.24.gate_proj:  77%|███████▋  | 28190/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.24.up_proj:  77%|███████▋  | 28191/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.24.down_proj:  77%|███████▋  | 28192/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.25.gate_proj:  77%|███████▋  | 28193/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.25.up_proj:  77%|███████▋  | 28194/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.25.down_proj:  77%|███████▋  | 28195/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.26.gate_proj:  77%|███████▋  | 28196/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.26.up_proj:  77%|███████▋  | 28197/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.26.down_proj:  77%|███████▋  | 28198/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.27.gate_proj:  77%|███████▋  | 28199/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.27.up_proj:  77%|███████▋  | 28200/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.27.down_proj:  77%|███████▋  | 28201/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.28.gate_proj:  77%|███████▋  | 28202/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.28.up_proj:  77%|███████▋  | 28203/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.28.down_proj:  77%|███████▋  | 28204/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.29.gate_proj:  77%|███████▋  | 28205/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.29.up_proj:  77%|███████▋  | 28206/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.29.down_proj:  77%|███████▋  | 28207/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.30.gate_proj:  77%|███████▋  | 28208/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.30.up_proj:  77%|███████▋  | 28209/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.30.down_proj:  77%|███████▋  | 28210/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.31.gate_proj:  77%|███████▋  | 28211/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.31.up_proj:  77%|███████▋  | 28212/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.31.down_proj:  77%|███████▋  | 28213/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.32.gate_proj:  77%|███████▋  | 28214/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.32.up_proj:  77%|███████▋  | 28215/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.32.down_proj:  77%|███████▋  | 28216/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.33.gate_proj:  77%|███████▋  | 28217/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.33.up_proj:  77%|███████▋  | 28218/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.33.down_proj:  77%|███████▋  | 28219/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.34.gate_proj:  77%|███████▋  | 28220/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.34.up_proj:  77%|███████▋  | 28221/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.34.down_proj:  77%|███████▋  | 28222/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.35.gate_proj:  77%|███████▋  | 28223/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.35.up_proj:  77%|███████▋  | 28224/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.35.down_proj:  77%|███████▋  | 28225/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.36.gate_proj:  77%|███████▋  | 28226/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.36.up_proj:  77%|███████▋  | 28227/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.36.down_proj:  77%|███████▋  | 28228/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.37.gate_proj:  77%|███████▋  | 28229/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.37.up_proj:  77%|███████▋  | 28230/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.37.down_proj:  77%|███████▋  | 28231/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.38.gate_proj:  77%|███████▋  | 28232/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.38.up_proj:  77%|███████▋  | 28233/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.38.down_proj:  77%|███████▋  | 28234/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.39.gate_proj:  77%|███████▋  | 28235/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.39.up_proj:  77%|███████▋  | 28236/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.39.down_proj:  77%|███████▋  | 28237/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.40.gate_proj:  77%|███████▋  | 28238/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.40.up_proj:  77%|███████▋  | 28239/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.40.down_proj:  77%|███████▋  | 28240/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.41.gate_proj:  77%|███████▋  | 28241/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.41.up_proj:  77%|███████▋  | 28242/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.41.down_proj:  77%|███████▋  | 28243/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.42.gate_proj:  77%|███████▋  | 28244/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.42.up_proj:  77%|███████▋  | 28245/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.42.down_proj:  77%|███████▋  | 28246/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.43.gate_proj:  77%|███████▋  | 28247/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.43.up_proj:  77%|███████▋  | 28248/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.43.down_proj:  77%|███████▋  | 28249/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.44.gate_proj:  77%|███████▋  | 28250/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.44.up_proj:  77%|███████▋  | 28251/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.44.down_proj:  77%|███████▋  | 28252/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.45.gate_proj:  77%|███████▋  | 28253/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.45.up_proj:  77%|███████▋  | 28254/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.45.down_proj:  77%|███████▋  | 28255/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.46.gate_proj:  77%|███████▋  | 28256/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.46.up_proj:  77%|███████▋  | 28257/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.46.down_proj:  77%|███████▋  | 28258/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.47.gate_proj:  77%|███████▋  | 28259/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.47.up_proj:  77%|███████▋  | 28260/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.47.down_proj:  77%|███████▋  | 28261/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.48.gate_proj:  77%|███████▋  | 28262/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.48.up_proj:  77%|███████▋  | 28263/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.48.down_proj:  77%|███████▋  | 28264/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.49.gate_proj:  77%|███████▋  | 28265/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.49.up_proj:  77%|███████▋  | 28266/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.49.down_proj:  77%|███████▋  | 28267/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.50.gate_proj:  77%|███████▋  | 28268/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.50.up_proj:  77%|███████▋  | 28269/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.50.down_proj:  77%|███████▋  | 28270/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.51.gate_proj:  77%|███████▋  | 28271/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.51.up_proj:  77%|███████▋  | 28272/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.51.down_proj:  77%|███████▋  | 28273/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.52.gate_proj:  77%|███████▋  | 28274/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.52.up_proj:  77%|███████▋  | 28275/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.52.down_proj:  77%|███████▋  | 28276/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.53.gate_proj:  77%|███████▋  | 28277/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.53.up_proj:  77%|███████▋  | 28278/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.53.down_proj:  77%|███████▋  | 28279/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.54.gate_proj:  77%|███████▋  | 28280/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.54.up_proj:  77%|███████▋  | 28281/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.54.down_proj:  77%|███████▋  | 28282/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.55.gate_proj:  77%|███████▋  | 28283/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.55.up_proj:  77%|███████▋  | 28284/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.55.down_proj:  77%|███████▋  | 28285/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.56.gate_proj:  77%|███████▋  | 28286/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.56.up_proj:  77%|███████▋  | 28287/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.56.down_proj:  77%|███████▋  | 28288/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.57.gate_proj:  77%|███████▋  | 28289/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.57.up_proj:  77%|███████▋  | 28290/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.57.down_proj:  77%|███████▋  | 28291/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.58.gate_proj:  77%|███████▋  | 28292/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.58.up_proj:  77%|███████▋  | 28293/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.58.down_proj:  77%|███████▋  | 28294/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.59.gate_proj:  77%|███████▋  | 28295/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.59.up_proj:  77%|███████▋  | 28296/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.59.down_proj:  77%|███████▋  | 28297/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.60.gate_proj:  77%|███████▋  | 28298/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.60.up_proj:  77%|███████▋  | 28299/36566 [00:25<00:07, 1172.50it/s]  
packing model.layers.72.mlp.experts.60.down_proj:  77%|███████▋  | 28300/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.61.gate_proj:  77%|███████▋  | 28301/36566 [00:25<00:07, 1172.50it/s]
packing model.layers.72.mlp.experts.61.gate_proj:  77%|███████▋  | 28302/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.61.up_proj:  77%|███████▋  | 28302/36566 [00:25<00:07, 1174.20it/s]  
packing model.layers.72.mlp.experts.61.down_proj:  77%|███████▋  | 28303/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.62.gate_proj:  77%|███████▋  | 28304/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.62.up_proj:  77%|███████▋  | 28305/36566 [00:25<00:07, 1174.20it/s]  
packing model.layers.72.mlp.experts.62.down_proj:  77%|███████▋  | 28306/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.63.gate_proj:  77%|███████▋  | 28307/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.63.up_proj:  77%|███████▋  | 28308/36566 [00:25<00:07, 1174.20it/s]  
packing model.layers.72.mlp.experts.63.down_proj:  77%|███████▋  | 28309/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.64.gate_proj:  77%|███████▋  | 28310/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.64.up_proj:  77%|███████▋  | 28311/36566 [00:25<00:07, 1174.20it/s]  
packing model.layers.72.mlp.experts.64.down_proj:  77%|███████▋  | 28312/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.65.gate_proj:  77%|███████▋  | 28313/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.65.up_proj:  77%|███████▋  | 28314/36566 [00:25<00:07, 1174.20it/s]  
packing model.layers.72.mlp.experts.65.down_proj:  77%|███████▋  | 28315/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.66.gate_proj:  77%|███████▋  | 28316/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.66.up_proj:  77%|███████▋  | 28317/36566 [00:25<00:07, 1174.20it/s]  
packing model.layers.72.mlp.experts.66.down_proj:  77%|███████▋  | 28318/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.67.gate_proj:  77%|███████▋  | 28319/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.67.up_proj:  77%|███████▋  | 28320/36566 [00:25<00:07, 1174.20it/s]  
packing model.layers.72.mlp.experts.67.down_proj:  77%|███████▋  | 28321/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.68.gate_proj:  77%|███████▋  | 28322/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.68.up_proj:  77%|███████▋  | 28323/36566 [00:25<00:07, 1174.20it/s]  
packing model.layers.72.mlp.experts.68.down_proj:  77%|███████▋  | 28324/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.69.gate_proj:  77%|███████▋  | 28325/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.69.up_proj:  77%|███████▋  | 28326/36566 [00:25<00:07, 1174.20it/s]  
packing model.layers.72.mlp.experts.69.down_proj:  77%|███████▋  | 28327/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.70.gate_proj:  77%|███████▋  | 28328/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.70.up_proj:  77%|███████▋  | 28329/36566 [00:25<00:07, 1174.20it/s]  
packing model.layers.72.mlp.experts.70.down_proj:  77%|███████▋  | 28330/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.71.gate_proj:  77%|███████▋  | 28331/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.71.up_proj:  77%|███████▋  | 28332/36566 [00:25<00:07, 1174.20it/s]  
packing model.layers.72.mlp.experts.71.down_proj:  77%|███████▋  | 28333/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.72.gate_proj:  77%|███████▋  | 28334/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.72.up_proj:  77%|███████▋  | 28335/36566 [00:25<00:07, 1174.20it/s]  
packing model.layers.72.mlp.experts.72.down_proj:  77%|███████▋  | 28336/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.73.gate_proj:  77%|███████▋  | 28337/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.73.up_proj:  77%|███████▋  | 28338/36566 [00:25<00:07, 1174.20it/s]  
packing model.layers.72.mlp.experts.73.down_proj:  78%|███████▊  | 28339/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.74.gate_proj:  78%|███████▊  | 28340/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.74.up_proj:  78%|███████▊  | 28341/36566 [00:25<00:07, 1174.20it/s]  
packing model.layers.72.mlp.experts.74.down_proj:  78%|███████▊  | 28342/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.75.gate_proj:  78%|███████▊  | 28343/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.75.up_proj:  78%|███████▊  | 28344/36566 [00:25<00:07, 1174.20it/s]  
packing model.layers.72.mlp.experts.75.down_proj:  78%|███████▊  | 28345/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.76.gate_proj:  78%|███████▊  | 28346/36566 [00:25<00:07, 1174.20it/s]
packing model.layers.72.mlp.experts.76.up_proj:  78%|███████▊  | 28347/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.76.down_proj:  78%|███████▊  | 28348/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.77.gate_proj:  78%|███████▊  | 28349/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.77.up_proj:  78%|███████▊  | 28350/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.77.down_proj:  78%|███████▊  | 28351/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.78.gate_proj:  78%|███████▊  | 28352/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.78.up_proj:  78%|███████▊  | 28353/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.78.down_proj:  78%|███████▊  | 28354/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.79.gate_proj:  78%|███████▊  | 28355/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.79.up_proj:  78%|███████▊  | 28356/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.79.down_proj:  78%|███████▊  | 28357/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.80.gate_proj:  78%|███████▊  | 28358/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.80.up_proj:  78%|███████▊  | 28359/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.80.down_proj:  78%|███████▊  | 28360/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.81.gate_proj:  78%|███████▊  | 28361/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.81.up_proj:  78%|███████▊  | 28362/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.81.down_proj:  78%|███████▊  | 28363/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.82.gate_proj:  78%|███████▊  | 28364/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.82.up_proj:  78%|███████▊  | 28365/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.82.down_proj:  78%|███████▊  | 28366/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.83.gate_proj:  78%|███████▊  | 28367/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.83.up_proj:  78%|███████▊  | 28368/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.83.down_proj:  78%|███████▊  | 28369/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.84.gate_proj:  78%|███████▊  | 28370/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.84.up_proj:  78%|███████▊  | 28371/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.84.down_proj:  78%|███████▊  | 28372/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.85.gate_proj:  78%|███████▊  | 28373/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.85.up_proj:  78%|███████▊  | 28374/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.85.down_proj:  78%|███████▊  | 28375/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.86.gate_proj:  78%|███████▊  | 28376/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.86.up_proj:  78%|███████▊  | 28377/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.86.down_proj:  78%|███████▊  | 28378/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.87.gate_proj:  78%|███████▊  | 28379/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.87.up_proj:  78%|███████▊  | 28380/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.87.down_proj:  78%|███████▊  | 28381/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.88.gate_proj:  78%|███████▊  | 28382/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.88.up_proj:  78%|███████▊  | 28383/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.88.down_proj:  78%|███████▊  | 28384/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.89.gate_proj:  78%|███████▊  | 28385/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.89.up_proj:  78%|███████▊  | 28386/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.89.down_proj:  78%|███████▊  | 28387/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.90.gate_proj:  78%|███████▊  | 28388/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.90.up_proj:  78%|███████▊  | 28389/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.90.down_proj:  78%|███████▊  | 28390/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.91.gate_proj:  78%|███████▊  | 28391/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.91.up_proj:  78%|███████▊  | 28392/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.91.down_proj:  78%|███████▊  | 28393/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.92.gate_proj:  78%|███████▊  | 28394/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.92.up_proj:  78%|███████▊  | 28395/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.92.down_proj:  78%|███████▊  | 28396/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.93.gate_proj:  78%|███████▊  | 28397/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.93.up_proj:  78%|███████▊  | 28398/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.93.down_proj:  78%|███████▊  | 28399/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.94.gate_proj:  78%|███████▊  | 28400/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.94.up_proj:  78%|███████▊  | 28401/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.94.down_proj:  78%|███████▊  | 28402/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.95.gate_proj:  78%|███████▊  | 28403/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.95.up_proj:  78%|███████▊  | 28404/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.95.down_proj:  78%|███████▊  | 28405/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.96.gate_proj:  78%|███████▊  | 28406/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.96.up_proj:  78%|███████▊  | 28407/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.96.down_proj:  78%|███████▊  | 28408/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.97.gate_proj:  78%|███████▊  | 28409/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.97.up_proj:  78%|███████▊  | 28410/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.97.down_proj:  78%|███████▊  | 28411/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.98.gate_proj:  78%|███████▊  | 28412/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.98.up_proj:  78%|███████▊  | 28413/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.98.down_proj:  78%|███████▊  | 28414/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.99.gate_proj:  78%|███████▊  | 28415/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.99.up_proj:  78%|███████▊  | 28416/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.99.down_proj:  78%|███████▊  | 28417/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.100.gate_proj:  78%|███████▊  | 28418/36566 [00:25<00:06, 1174.20it/s]
packing model.layers.72.mlp.experts.100.up_proj:  78%|███████▊  | 28419/36566 [00:25<00:06, 1174.20it/s]  
packing model.layers.72.mlp.experts.100.up_proj:  78%|███████▊  | 28420/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.100.down_proj:  78%|███████▊  | 28420/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.101.gate_proj:  78%|███████▊  | 28421/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.101.up_proj:  78%|███████▊  | 28422/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.101.down_proj:  78%|███████▊  | 28423/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.102.gate_proj:  78%|███████▊  | 28424/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.102.up_proj:  78%|███████▊  | 28425/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.102.down_proj:  78%|███████▊  | 28426/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.103.gate_proj:  78%|███████▊  | 28427/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.103.up_proj:  78%|███████▊  | 28428/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.103.down_proj:  78%|███████▊  | 28429/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.104.gate_proj:  78%|███████▊  | 28430/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.104.up_proj:  78%|███████▊  | 28431/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.104.down_proj:  78%|███████▊  | 28432/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.105.gate_proj:  78%|███████▊  | 28433/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.105.up_proj:  78%|███████▊  | 28434/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.105.down_proj:  78%|███████▊  | 28435/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.106.gate_proj:  78%|███████▊  | 28436/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.106.up_proj:  78%|███████▊  | 28437/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.106.down_proj:  78%|███████▊  | 28438/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.107.gate_proj:  78%|███████▊  | 28439/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.107.up_proj:  78%|███████▊  | 28440/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.107.down_proj:  78%|███████▊  | 28441/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.108.gate_proj:  78%|███████▊  | 28442/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.108.up_proj:  78%|███████▊  | 28443/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.108.down_proj:  78%|███████▊  | 28444/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.109.gate_proj:  78%|███████▊  | 28445/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.109.up_proj:  78%|███████▊  | 28446/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.109.down_proj:  78%|███████▊  | 28447/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.110.gate_proj:  78%|███████▊  | 28448/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.110.up_proj:  78%|███████▊  | 28449/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.110.down_proj:  78%|███████▊  | 28450/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.111.gate_proj:  78%|███████▊  | 28451/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.111.up_proj:  78%|███████▊  | 28452/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.111.down_proj:  78%|███████▊  | 28453/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.112.gate_proj:  78%|███████▊  | 28454/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.112.up_proj:  78%|███████▊  | 28455/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.112.down_proj:  78%|███████▊  | 28456/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.113.gate_proj:  78%|███████▊  | 28457/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.113.up_proj:  78%|███████▊  | 28458/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.113.down_proj:  78%|███████▊  | 28459/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.114.gate_proj:  78%|███████▊  | 28460/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.114.up_proj:  78%|███████▊  | 28461/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.114.down_proj:  78%|███████▊  | 28462/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.115.gate_proj:  78%|███████▊  | 28463/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.115.up_proj:  78%|███████▊  | 28464/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.115.down_proj:  78%|███████▊  | 28465/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.116.gate_proj:  78%|███████▊  | 28466/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.116.up_proj:  78%|███████▊  | 28467/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.116.down_proj:  78%|███████▊  | 28468/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.117.gate_proj:  78%|███████▊  | 28469/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.117.up_proj:  78%|███████▊  | 28470/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.117.down_proj:  78%|███████▊  | 28471/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.118.gate_proj:  78%|███████▊  | 28472/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.118.up_proj:  78%|███████▊  | 28473/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.118.down_proj:  78%|███████▊  | 28474/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.119.gate_proj:  78%|███████▊  | 28475/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.119.up_proj:  78%|███████▊  | 28476/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.119.down_proj:  78%|███████▊  | 28477/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.120.gate_proj:  78%|███████▊  | 28478/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.120.up_proj:  78%|███████▊  | 28479/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.120.down_proj:  78%|███████▊  | 28480/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.121.gate_proj:  78%|███████▊  | 28481/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.121.up_proj:  78%|███████▊  | 28482/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.121.down_proj:  78%|███████▊  | 28483/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.122.gate_proj:  78%|███████▊  | 28484/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.122.up_proj:  78%|███████▊  | 28485/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.122.down_proj:  78%|███████▊  | 28486/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.123.gate_proj:  78%|███████▊  | 28487/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.123.up_proj:  78%|███████▊  | 28488/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.123.down_proj:  78%|███████▊  | 28489/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.124.gate_proj:  78%|███████▊  | 28490/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.124.up_proj:  78%|███████▊  | 28491/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.124.down_proj:  78%|███████▊  | 28492/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.125.gate_proj:  78%|███████▊  | 28493/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.125.up_proj:  78%|███████▊  | 28494/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.125.down_proj:  78%|███████▊  | 28495/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.126.gate_proj:  78%|███████▊  | 28496/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.126.up_proj:  78%|███████▊  | 28497/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.126.down_proj:  78%|███████▊  | 28498/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.127.gate_proj:  78%|███████▊  | 28499/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.72.mlp.experts.127.up_proj:  78%|███████▊  | 28500/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.72.mlp.experts.127.down_proj:  78%|███████▊  | 28501/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.0.gate_proj:  78%|███████▊  | 28502/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.73.mlp.experts.0.up_proj:  78%|███████▊  | 28503/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.73.mlp.experts.0.down_proj:  78%|███████▊  | 28504/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.1.gate_proj:  78%|███████▊  | 28505/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.1.up_proj:  78%|███████▊  | 28506/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.73.mlp.experts.1.down_proj:  78%|███████▊  | 28507/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.2.gate_proj:  78%|███████▊  | 28508/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.2.up_proj:  78%|███████▊  | 28509/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.73.mlp.experts.2.down_proj:  78%|███████▊  | 28510/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.3.gate_proj:  78%|███████▊  | 28511/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.3.up_proj:  78%|███████▊  | 28512/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.73.mlp.experts.3.down_proj:  78%|███████▊  | 28513/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.4.gate_proj:  78%|███████▊  | 28514/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.4.up_proj:  78%|███████▊  | 28515/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.73.mlp.experts.4.down_proj:  78%|███████▊  | 28516/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.5.gate_proj:  78%|███████▊  | 28517/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.5.up_proj:  78%|███████▊  | 28518/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.73.mlp.experts.5.down_proj:  78%|███████▊  | 28519/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.6.gate_proj:  78%|███████▊  | 28520/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.6.up_proj:  78%|███████▊  | 28521/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.73.mlp.experts.6.down_proj:  78%|███████▊  | 28522/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.7.gate_proj:  78%|███████▊  | 28523/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.7.up_proj:  78%|███████▊  | 28524/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.73.mlp.experts.7.down_proj:  78%|███████▊  | 28525/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.8.gate_proj:  78%|███████▊  | 28526/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.8.up_proj:  78%|███████▊  | 28527/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.73.mlp.experts.8.down_proj:  78%|███████▊  | 28528/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.9.gate_proj:  78%|███████▊  | 28529/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.9.up_proj:  78%|███████▊  | 28530/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.73.mlp.experts.9.down_proj:  78%|███████▊  | 28531/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.10.gate_proj:  78%|███████▊  | 28532/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.10.up_proj:  78%|███████▊  | 28533/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.73.mlp.experts.10.down_proj:  78%|███████▊  | 28534/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.11.gate_proj:  78%|███████▊  | 28535/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.11.up_proj:  78%|███████▊  | 28536/36566 [00:25<00:06, 1174.22it/s]  
packing model.layers.73.mlp.experts.11.down_proj:  78%|███████▊  | 28537/36566 [00:25<00:06, 1174.22it/s]
packing model.layers.73.mlp.experts.11.down_proj:  78%|███████▊  | 28538/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.12.gate_proj:  78%|███████▊  | 28538/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.12.up_proj:  78%|███████▊  | 28539/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.12.down_proj:  78%|███████▊  | 28540/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.13.gate_proj:  78%|███████▊  | 28541/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.13.up_proj:  78%|███████▊  | 28542/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.13.down_proj:  78%|███████▊  | 28543/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.14.gate_proj:  78%|███████▊  | 28544/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.14.up_proj:  78%|███████▊  | 28545/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.14.down_proj:  78%|███████▊  | 28546/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.15.gate_proj:  78%|███████▊  | 28547/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.15.up_proj:  78%|███████▊  | 28548/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.15.down_proj:  78%|███████▊  | 28549/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.16.gate_proj:  78%|███████▊  | 28550/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.16.up_proj:  78%|███████▊  | 28551/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.16.down_proj:  78%|███████▊  | 28552/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.17.gate_proj:  78%|███████▊  | 28553/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.17.up_proj:  78%|███████▊  | 28554/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.17.down_proj:  78%|███████▊  | 28555/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.18.gate_proj:  78%|███████▊  | 28556/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.18.up_proj:  78%|███████▊  | 28557/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.18.down_proj:  78%|███████▊  | 28558/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.19.gate_proj:  78%|███████▊  | 28559/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.19.up_proj:  78%|███████▊  | 28560/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.19.down_proj:  78%|███████▊  | 28561/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.20.gate_proj:  78%|███████▊  | 28562/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.20.up_proj:  78%|███████▊  | 28563/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.20.down_proj:  78%|███████▊  | 28564/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.21.gate_proj:  78%|███████▊  | 28565/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.21.up_proj:  78%|███████▊  | 28566/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.21.down_proj:  78%|███████▊  | 28567/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.22.gate_proj:  78%|███████▊  | 28568/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.22.up_proj:  78%|███████▊  | 28569/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.22.down_proj:  78%|███████▊  | 28570/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.23.gate_proj:  78%|███████▊  | 28571/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.23.up_proj:  78%|███████▊  | 28572/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.23.down_proj:  78%|███████▊  | 28573/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.24.gate_proj:  78%|███████▊  | 28574/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.24.up_proj:  78%|███████▊  | 28575/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.24.down_proj:  78%|███████▊  | 28576/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.25.gate_proj:  78%|███████▊  | 28577/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.25.up_proj:  78%|███████▊  | 28578/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.25.down_proj:  78%|███████▊  | 28579/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.26.gate_proj:  78%|███████▊  | 28580/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.26.up_proj:  78%|███████▊  | 28581/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.26.down_proj:  78%|███████▊  | 28582/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.27.gate_proj:  78%|███████▊  | 28583/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.27.up_proj:  78%|███████▊  | 28584/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.27.down_proj:  78%|███████▊  | 28585/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.28.gate_proj:  78%|███████▊  | 28586/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.28.up_proj:  78%|███████▊  | 28587/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.28.down_proj:  78%|███████▊  | 28588/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.29.gate_proj:  78%|███████▊  | 28589/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.29.up_proj:  78%|███████▊  | 28590/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.29.down_proj:  78%|███████▊  | 28591/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.30.gate_proj:  78%|███████▊  | 28592/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.30.up_proj:  78%|███████▊  | 28593/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.30.down_proj:  78%|███████▊  | 28594/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.31.gate_proj:  78%|███████▊  | 28595/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.31.up_proj:  78%|███████▊  | 28596/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.31.down_proj:  78%|███████▊  | 28597/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.32.gate_proj:  78%|███████▊  | 28598/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.32.up_proj:  78%|███████▊  | 28599/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.32.down_proj:  78%|███████▊  | 28600/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.33.gate_proj:  78%|███████▊  | 28601/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.33.up_proj:  78%|███████▊  | 28602/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.33.down_proj:  78%|███████▊  | 28603/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.34.gate_proj:  78%|███████▊  | 28604/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.34.up_proj:  78%|███████▊  | 28605/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.34.down_proj:  78%|███████▊  | 28606/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.35.gate_proj:  78%|███████▊  | 28607/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.35.up_proj:  78%|███████▊  | 28608/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.35.down_proj:  78%|███████▊  | 28609/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.36.gate_proj:  78%|███████▊  | 28610/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.36.up_proj:  78%|███████▊  | 28611/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.36.down_proj:  78%|███████▊  | 28612/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.37.gate_proj:  78%|███████▊  | 28613/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.37.up_proj:  78%|███████▊  | 28614/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.37.down_proj:  78%|███████▊  | 28615/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.38.gate_proj:  78%|███████▊  | 28616/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.38.up_proj:  78%|███████▊  | 28617/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.38.down_proj:  78%|███████▊  | 28618/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.39.gate_proj:  78%|███████▊  | 28619/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.39.up_proj:  78%|███████▊  | 28620/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.39.down_proj:  78%|███████▊  | 28621/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.40.gate_proj:  78%|███████▊  | 28622/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.40.up_proj:  78%|███████▊  | 28623/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.40.down_proj:  78%|███████▊  | 28624/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.41.gate_proj:  78%|███████▊  | 28625/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.41.up_proj:  78%|███████▊  | 28626/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.41.down_proj:  78%|███████▊  | 28627/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.42.gate_proj:  78%|███████▊  | 28628/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.42.up_proj:  78%|███████▊  | 28629/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.42.down_proj:  78%|███████▊  | 28630/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.43.gate_proj:  78%|███████▊  | 28631/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.43.up_proj:  78%|███████▊  | 28632/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.43.down_proj:  78%|███████▊  | 28633/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.44.gate_proj:  78%|███████▊  | 28634/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.44.up_proj:  78%|███████▊  | 28635/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.44.down_proj:  78%|███████▊  | 28636/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.45.gate_proj:  78%|███████▊  | 28637/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.45.up_proj:  78%|███████▊  | 28638/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.45.down_proj:  78%|███████▊  | 28639/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.46.gate_proj:  78%|███████▊  | 28640/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.46.up_proj:  78%|███████▊  | 28641/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.46.down_proj:  78%|███████▊  | 28642/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.47.gate_proj:  78%|███████▊  | 28643/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.47.up_proj:  78%|███████▊  | 28644/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.47.down_proj:  78%|███████▊  | 28645/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.48.gate_proj:  78%|███████▊  | 28646/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.48.up_proj:  78%|███████▊  | 28647/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.48.down_proj:  78%|███████▊  | 28648/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.49.gate_proj:  78%|███████▊  | 28649/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.49.up_proj:  78%|███████▊  | 28650/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.49.down_proj:  78%|███████▊  | 28651/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.50.gate_proj:  78%|███████▊  | 28652/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.50.up_proj:  78%|███████▊  | 28653/36566 [00:25<00:06, 1174.75it/s]  
packing model.layers.73.mlp.experts.50.down_proj:  78%|███████▊  | 28654/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.51.gate_proj:  78%|███████▊  | 28655/36566 [00:25<00:06, 1174.75it/s]
packing model.layers.73.mlp.experts.51.gate_proj:  78%|███████▊  | 28656/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.51.up_proj:  78%|███████▊  | 28656/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.51.down_proj:  78%|███████▊  | 28657/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.52.gate_proj:  78%|███████▊  | 28658/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.52.up_proj:  78%|███████▊  | 28659/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.52.down_proj:  78%|███████▊  | 28660/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.53.gate_proj:  78%|███████▊  | 28661/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.53.up_proj:  78%|███████▊  | 28662/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.53.down_proj:  78%|███████▊  | 28663/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.54.gate_proj:  78%|███████▊  | 28664/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.54.up_proj:  78%|███████▊  | 28665/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.54.down_proj:  78%|███████▊  | 28666/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.55.gate_proj:  78%|███████▊  | 28667/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.55.up_proj:  78%|███████▊  | 28668/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.55.down_proj:  78%|███████▊  | 28669/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.56.gate_proj:  78%|███████▊  | 28670/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.56.up_proj:  78%|███████▊  | 28671/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.56.down_proj:  78%|███████▊  | 28672/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.57.gate_proj:  78%|███████▊  | 28673/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.57.up_proj:  78%|███████▊  | 28674/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.57.down_proj:  78%|███████▊  | 28675/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.58.gate_proj:  78%|███████▊  | 28676/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.58.up_proj:  78%|███████▊  | 28677/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.58.down_proj:  78%|███████▊  | 28678/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.59.gate_proj:  78%|███████▊  | 28679/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.59.up_proj:  78%|███████▊  | 28680/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.59.down_proj:  78%|███████▊  | 28681/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.60.gate_proj:  78%|███████▊  | 28682/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.60.up_proj:  78%|███████▊  | 28683/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.60.down_proj:  78%|███████▊  | 28684/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.61.gate_proj:  78%|███████▊  | 28685/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.61.up_proj:  78%|███████▊  | 28686/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.61.down_proj:  78%|███████▊  | 28687/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.62.gate_proj:  78%|███████▊  | 28688/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.62.up_proj:  78%|███████▊  | 28689/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.62.down_proj:  78%|███████▊  | 28690/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.63.gate_proj:  78%|███████▊  | 28691/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.63.up_proj:  78%|███████▊  | 28692/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.63.down_proj:  78%|███████▊  | 28693/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.64.gate_proj:  78%|███████▊  | 28694/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.64.up_proj:  78%|███████▊  | 28695/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.64.down_proj:  78%|███████▊  | 28696/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.65.gate_proj:  78%|███████▊  | 28697/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.65.up_proj:  78%|███████▊  | 28698/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.65.down_proj:  78%|███████▊  | 28699/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.66.gate_proj:  78%|███████▊  | 28700/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.66.up_proj:  78%|███████▊  | 28701/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.66.down_proj:  78%|███████▊  | 28702/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.67.gate_proj:  78%|███████▊  | 28703/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.67.up_proj:  78%|███████▊  | 28704/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.67.down_proj:  79%|███████▊  | 28705/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.68.gate_proj:  79%|███████▊  | 28706/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.68.up_proj:  79%|███████▊  | 28707/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.68.down_proj:  79%|███████▊  | 28708/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.69.gate_proj:  79%|███████▊  | 28709/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.69.up_proj:  79%|███████▊  | 28710/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.69.down_proj:  79%|███████▊  | 28711/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.70.gate_proj:  79%|███████▊  | 28712/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.70.up_proj:  79%|███████▊  | 28713/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.70.down_proj:  79%|███████▊  | 28714/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.71.gate_proj:  79%|███████▊  | 28715/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.71.up_proj:  79%|███████▊  | 28716/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.71.down_proj:  79%|███████▊  | 28717/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.72.gate_proj:  79%|███████▊  | 28718/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.72.up_proj:  79%|███████▊  | 28719/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.72.down_proj:  79%|███████▊  | 28720/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.73.gate_proj:  79%|███████▊  | 28721/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.73.up_proj:  79%|███████▊  | 28722/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.73.down_proj:  79%|███████▊  | 28723/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.74.gate_proj:  79%|███████▊  | 28724/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.74.up_proj:  79%|███████▊  | 28725/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.74.down_proj:  79%|███████▊  | 28726/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.75.gate_proj:  79%|███████▊  | 28727/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.75.up_proj:  79%|███████▊  | 28728/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.75.down_proj:  79%|███████▊  | 28729/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.76.gate_proj:  79%|███████▊  | 28730/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.76.up_proj:  79%|███████▊  | 28731/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.76.down_proj:  79%|███████▊  | 28732/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.77.gate_proj:  79%|███████▊  | 28733/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.77.up_proj:  79%|███████▊  | 28734/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.77.down_proj:  79%|███████▊  | 28735/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.78.gate_proj:  79%|███████▊  | 28736/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.78.up_proj:  79%|███████▊  | 28737/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.78.down_proj:  79%|███████▊  | 28738/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.79.gate_proj:  79%|███████▊  | 28739/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.79.up_proj:  79%|███████▊  | 28740/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.79.down_proj:  79%|███████▊  | 28741/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.80.gate_proj:  79%|███████▊  | 28742/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.80.up_proj:  79%|███████▊  | 28743/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.80.down_proj:  79%|███████▊  | 28744/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.81.gate_proj:  79%|███████▊  | 28745/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.81.up_proj:  79%|███████▊  | 28746/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.81.down_proj:  79%|███████▊  | 28747/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.82.gate_proj:  79%|███████▊  | 28748/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.82.up_proj:  79%|███████▊  | 28749/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.82.down_proj:  79%|███████▊  | 28750/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.83.gate_proj:  79%|███████▊  | 28751/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.83.up_proj:  79%|███████▊  | 28752/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.83.down_proj:  79%|███████▊  | 28753/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.84.gate_proj:  79%|███████▊  | 28754/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.84.up_proj:  79%|███████▊  | 28755/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.84.down_proj:  79%|███████▊  | 28756/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.85.gate_proj:  79%|███████▊  | 28757/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.85.up_proj:  79%|███████▊  | 28758/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.85.down_proj:  79%|███████▊  | 28759/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.86.gate_proj:  79%|███████▊  | 28760/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.86.up_proj:  79%|███████▊  | 28761/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.86.down_proj:  79%|███████▊  | 28762/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.87.gate_proj:  79%|███████▊  | 28763/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.87.up_proj:  79%|███████▊  | 28764/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.87.down_proj:  79%|███████▊  | 28765/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.88.gate_proj:  79%|███████▊  | 28766/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.88.up_proj:  79%|███████▊  | 28767/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.88.down_proj:  79%|███████▊  | 28768/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.89.gate_proj:  79%|███████▊  | 28769/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.89.up_proj:  79%|███████▊  | 28770/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.89.down_proj:  79%|███████▊  | 28771/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.90.gate_proj:  79%|███████▊  | 28772/36566 [00:25<00:06, 1174.99it/s]
packing model.layers.73.mlp.experts.90.up_proj:  79%|███████▊  | 28773/36566 [00:25<00:06, 1174.99it/s]  
packing model.layers.73.mlp.experts.90.up_proj:  79%|███████▊  | 28774/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.90.down_proj:  79%|███████▊  | 28774/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.91.gate_proj:  79%|███████▊  | 28775/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.91.up_proj:  79%|███████▊  | 28776/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.91.down_proj:  79%|███████▊  | 28777/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.92.gate_proj:  79%|███████▊  | 28778/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.92.up_proj:  79%|███████▊  | 28779/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.92.down_proj:  79%|███████▊  | 28780/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.93.gate_proj:  79%|███████▊  | 28781/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.93.up_proj:  79%|███████▊  | 28782/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.93.down_proj:  79%|███████▊  | 28783/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.94.gate_proj:  79%|███████▊  | 28784/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.94.up_proj:  79%|███████▊  | 28785/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.94.down_proj:  79%|███████▊  | 28786/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.95.gate_proj:  79%|███████▊  | 28787/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.95.up_proj:  79%|███████▊  | 28788/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.95.down_proj:  79%|███████▊  | 28789/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.96.gate_proj:  79%|███████▊  | 28790/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.96.up_proj:  79%|███████▊  | 28791/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.96.down_proj:  79%|███████▊  | 28792/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.97.gate_proj:  79%|███████▊  | 28793/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.97.up_proj:  79%|███████▊  | 28794/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.97.down_proj:  79%|███████▊  | 28795/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.98.gate_proj:  79%|███████▉  | 28796/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.98.up_proj:  79%|███████▉  | 28797/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.98.down_proj:  79%|███████▉  | 28798/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.99.gate_proj:  79%|███████▉  | 28799/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.99.up_proj:  79%|███████▉  | 28800/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.99.down_proj:  79%|███████▉  | 28801/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.100.gate_proj:  79%|███████▉  | 28802/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.100.up_proj:  79%|███████▉  | 28803/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.100.down_proj:  79%|███████▉  | 28804/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.101.gate_proj:  79%|███████▉  | 28805/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.101.up_proj:  79%|███████▉  | 28806/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.101.down_proj:  79%|███████▉  | 28807/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.102.gate_proj:  79%|███████▉  | 28808/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.102.up_proj:  79%|███████▉  | 28809/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.102.down_proj:  79%|███████▉  | 28810/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.103.gate_proj:  79%|███████▉  | 28811/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.103.up_proj:  79%|███████▉  | 28812/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.103.down_proj:  79%|███████▉  | 28813/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.104.gate_proj:  79%|███████▉  | 28814/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.104.up_proj:  79%|███████▉  | 28815/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.104.down_proj:  79%|███████▉  | 28816/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.105.gate_proj:  79%|███████▉  | 28817/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.105.up_proj:  79%|███████▉  | 28818/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.105.down_proj:  79%|███████▉  | 28819/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.106.gate_proj:  79%|███████▉  | 28820/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.106.up_proj:  79%|███████▉  | 28821/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.106.down_proj:  79%|███████▉  | 28822/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.107.gate_proj:  79%|███████▉  | 28823/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.107.up_proj:  79%|███████▉  | 28824/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.107.down_proj:  79%|███████▉  | 28825/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.108.gate_proj:  79%|███████▉  | 28826/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.108.up_proj:  79%|███████▉  | 28827/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.108.down_proj:  79%|███████▉  | 28828/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.109.gate_proj:  79%|███████▉  | 28829/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.109.up_proj:  79%|███████▉  | 28830/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.109.down_proj:  79%|███████▉  | 28831/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.110.gate_proj:  79%|███████▉  | 28832/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.110.up_proj:  79%|███████▉  | 28833/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.110.down_proj:  79%|███████▉  | 28834/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.111.gate_proj:  79%|███████▉  | 28835/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.111.up_proj:  79%|███████▉  | 28836/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.111.down_proj:  79%|███████▉  | 28837/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.112.gate_proj:  79%|███████▉  | 28838/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.112.up_proj:  79%|███████▉  | 28839/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.112.down_proj:  79%|███████▉  | 28840/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.113.gate_proj:  79%|███████▉  | 28841/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.113.up_proj:  79%|███████▉  | 28842/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.113.down_proj:  79%|███████▉  | 28843/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.114.gate_proj:  79%|███████▉  | 28844/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.114.up_proj:  79%|███████▉  | 28845/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.114.down_proj:  79%|███████▉  | 28846/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.115.gate_proj:  79%|███████▉  | 28847/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.115.up_proj:  79%|███████▉  | 28848/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.115.down_proj:  79%|███████▉  | 28849/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.116.gate_proj:  79%|███████▉  | 28850/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.116.up_proj:  79%|███████▉  | 28851/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.116.down_proj:  79%|███████▉  | 28852/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.117.gate_proj:  79%|███████▉  | 28853/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.117.up_proj:  79%|███████▉  | 28854/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.117.down_proj:  79%|███████▉  | 28855/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.118.gate_proj:  79%|███████▉  | 28856/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.118.up_proj:  79%|███████▉  | 28857/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.118.down_proj:  79%|███████▉  | 28858/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.119.gate_proj:  79%|███████▉  | 28859/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.119.up_proj:  79%|███████▉  | 28860/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.119.down_proj:  79%|███████▉  | 28861/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.120.gate_proj:  79%|███████▉  | 28862/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.120.up_proj:  79%|███████▉  | 28863/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.120.down_proj:  79%|███████▉  | 28864/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.121.gate_proj:  79%|███████▉  | 28865/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.121.up_proj:  79%|███████▉  | 28866/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.121.down_proj:  79%|███████▉  | 28867/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.122.gate_proj:  79%|███████▉  | 28868/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.122.up_proj:  79%|███████▉  | 28869/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.122.down_proj:  79%|███████▉  | 28870/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.123.gate_proj:  79%|███████▉  | 28871/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.123.up_proj:  79%|███████▉  | 28872/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.123.down_proj:  79%|███████▉  | 28873/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.124.gate_proj:  79%|███████▉  | 28874/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.124.up_proj:  79%|███████▉  | 28875/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.124.down_proj:  79%|███████▉  | 28876/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.125.gate_proj:  79%|███████▉  | 28877/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.125.up_proj:  79%|███████▉  | 28878/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.125.down_proj:  79%|███████▉  | 28879/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.126.gate_proj:  79%|███████▉  | 28880/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.126.up_proj:  79%|███████▉  | 28881/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.126.down_proj:  79%|███████▉  | 28882/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.127.gate_proj:  79%|███████▉  | 28883/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.73.mlp.experts.127.up_proj:  79%|███████▉  | 28884/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.73.mlp.experts.127.down_proj:  79%|███████▉  | 28885/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.74.mlp.experts.0.gate_proj:  79%|███████▉  | 28886/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.74.mlp.experts.0.up_proj:  79%|███████▉  | 28887/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.74.mlp.experts.0.down_proj:  79%|███████▉  | 28888/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.74.mlp.experts.1.gate_proj:  79%|███████▉  | 28889/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.74.mlp.experts.1.up_proj:  79%|███████▉  | 28890/36566 [00:25<00:06, 1174.16it/s]  
packing model.layers.74.mlp.experts.1.down_proj:  79%|███████▉  | 28891/36566 [00:25<00:06, 1174.16it/s]
packing model.layers.74.mlp.experts.1.down_proj:  79%|███████▉  | 28892/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.2.gate_proj:  79%|███████▉  | 28892/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.2.up_proj:  79%|███████▉  | 28893/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.2.down_proj:  79%|███████▉  | 28894/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.3.gate_proj:  79%|███████▉  | 28895/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.3.up_proj:  79%|███████▉  | 28896/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.3.down_proj:  79%|███████▉  | 28897/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.4.gate_proj:  79%|███████▉  | 28898/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.4.up_proj:  79%|███████▉  | 28899/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.4.down_proj:  79%|███████▉  | 28900/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.5.gate_proj:  79%|███████▉  | 28901/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.5.up_proj:  79%|███████▉  | 28902/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.5.down_proj:  79%|███████▉  | 28903/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.6.gate_proj:  79%|███████▉  | 28904/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.6.up_proj:  79%|███████▉  | 28905/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.6.down_proj:  79%|███████▉  | 28906/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.7.gate_proj:  79%|███████▉  | 28907/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.7.up_proj:  79%|███████▉  | 28908/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.7.down_proj:  79%|███████▉  | 28909/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.8.gate_proj:  79%|███████▉  | 28910/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.8.up_proj:  79%|███████▉  | 28911/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.8.down_proj:  79%|███████▉  | 28912/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.9.gate_proj:  79%|███████▉  | 28913/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.9.up_proj:  79%|███████▉  | 28914/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.9.down_proj:  79%|███████▉  | 28915/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.10.gate_proj:  79%|███████▉  | 28916/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.10.up_proj:  79%|███████▉  | 28917/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.10.down_proj:  79%|███████▉  | 28918/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.11.gate_proj:  79%|███████▉  | 28919/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.11.up_proj:  79%|███████▉  | 28920/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.11.down_proj:  79%|███████▉  | 28921/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.12.gate_proj:  79%|███████▉  | 28922/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.12.up_proj:  79%|███████▉  | 28923/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.12.down_proj:  79%|███████▉  | 28924/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.13.gate_proj:  79%|███████▉  | 28925/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.13.up_proj:  79%|███████▉  | 28926/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.13.down_proj:  79%|███████▉  | 28927/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.14.gate_proj:  79%|███████▉  | 28928/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.14.up_proj:  79%|███████▉  | 28929/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.14.down_proj:  79%|███████▉  | 28930/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.15.gate_proj:  79%|███████▉  | 28931/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.15.up_proj:  79%|███████▉  | 28932/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.15.down_proj:  79%|███████▉  | 28933/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.16.gate_proj:  79%|███████▉  | 28934/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.16.up_proj:  79%|███████▉  | 28935/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.16.down_proj:  79%|███████▉  | 28936/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.17.gate_proj:  79%|███████▉  | 28937/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.17.up_proj:  79%|███████▉  | 28938/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.17.down_proj:  79%|███████▉  | 28939/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.18.gate_proj:  79%|███████▉  | 28940/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.18.up_proj:  79%|███████▉  | 28941/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.18.down_proj:  79%|███████▉  | 28942/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.19.gate_proj:  79%|███████▉  | 28943/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.19.up_proj:  79%|███████▉  | 28944/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.19.down_proj:  79%|███████▉  | 28945/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.20.gate_proj:  79%|███████▉  | 28946/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.20.up_proj:  79%|███████▉  | 28947/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.20.down_proj:  79%|███████▉  | 28948/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.21.gate_proj:  79%|███████▉  | 28949/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.21.up_proj:  79%|███████▉  | 28950/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.21.down_proj:  79%|███████▉  | 28951/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.22.gate_proj:  79%|███████▉  | 28952/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.22.up_proj:  79%|███████▉  | 28953/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.22.down_proj:  79%|███████▉  | 28954/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.23.gate_proj:  79%|███████▉  | 28955/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.23.up_proj:  79%|███████▉  | 28956/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.23.down_proj:  79%|███████▉  | 28957/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.24.gate_proj:  79%|███████▉  | 28958/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.24.up_proj:  79%|███████▉  | 28959/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.24.down_proj:  79%|███████▉  | 28960/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.25.gate_proj:  79%|███████▉  | 28961/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.25.up_proj:  79%|███████▉  | 28962/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.25.down_proj:  79%|███████▉  | 28963/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.26.gate_proj:  79%|███████▉  | 28964/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.26.up_proj:  79%|███████▉  | 28965/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.26.down_proj:  79%|███████▉  | 28966/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.27.gate_proj:  79%|███████▉  | 28967/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.27.up_proj:  79%|███████▉  | 28968/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.27.down_proj:  79%|███████▉  | 28969/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.28.gate_proj:  79%|███████▉  | 28970/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.28.up_proj:  79%|███████▉  | 28971/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.28.down_proj:  79%|███████▉  | 28972/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.29.gate_proj:  79%|███████▉  | 28973/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.29.up_proj:  79%|███████▉  | 28974/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.29.down_proj:  79%|███████▉  | 28975/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.30.gate_proj:  79%|███████▉  | 28976/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.30.up_proj:  79%|███████▉  | 28977/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.30.down_proj:  79%|███████▉  | 28978/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.31.gate_proj:  79%|███████▉  | 28979/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.31.up_proj:  79%|███████▉  | 28980/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.31.down_proj:  79%|███████▉  | 28981/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.32.gate_proj:  79%|███████▉  | 28982/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.32.up_proj:  79%|███████▉  | 28983/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.32.down_proj:  79%|███████▉  | 28984/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.33.gate_proj:  79%|███████▉  | 28985/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.33.up_proj:  79%|███████▉  | 28986/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.33.down_proj:  79%|███████▉  | 28987/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.34.gate_proj:  79%|███████▉  | 28988/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.34.up_proj:  79%|███████▉  | 28989/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.34.down_proj:  79%|███████▉  | 28990/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.35.gate_proj:  79%|███████▉  | 28991/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.35.up_proj:  79%|███████▉  | 28992/36566 [00:25<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.35.down_proj:  79%|███████▉  | 28993/36566 [00:25<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.36.gate_proj:  79%|███████▉  | 28994/36566 [00:26<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.36.up_proj:  79%|███████▉  | 28995/36566 [00:26<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.36.down_proj:  79%|███████▉  | 28996/36566 [00:26<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.37.gate_proj:  79%|███████▉  | 28997/36566 [00:26<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.37.up_proj:  79%|███████▉  | 28998/36566 [00:26<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.37.down_proj:  79%|███████▉  | 28999/36566 [00:26<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.38.gate_proj:  79%|███████▉  | 29000/36566 [00:26<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.38.up_proj:  79%|███████▉  | 29001/36566 [00:26<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.38.down_proj:  79%|███████▉  | 29002/36566 [00:26<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.39.gate_proj:  79%|███████▉  | 29003/36566 [00:26<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.39.up_proj:  79%|███████▉  | 29004/36566 [00:26<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.39.down_proj:  79%|███████▉  | 29005/36566 [00:26<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.40.gate_proj:  79%|███████▉  | 29006/36566 [00:26<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.40.up_proj:  79%|███████▉  | 29007/36566 [00:26<00:06, 1172.95it/s]  
packing model.layers.74.mlp.experts.40.down_proj:  79%|███████▉  | 29008/36566 [00:26<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.41.gate_proj:  79%|███████▉  | 29009/36566 [00:26<00:06, 1172.95it/s]
packing model.layers.74.mlp.experts.41.gate_proj:  79%|███████▉  | 29010/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.41.up_proj:  79%|███████▉  | 29010/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.41.down_proj:  79%|███████▉  | 29011/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.42.gate_proj:  79%|███████▉  | 29012/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.42.up_proj:  79%|███████▉  | 29013/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.42.down_proj:  79%|███████▉  | 29014/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.43.gate_proj:  79%|███████▉  | 29015/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.43.up_proj:  79%|███████▉  | 29016/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.43.down_proj:  79%|███████▉  | 29017/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.44.gate_proj:  79%|███████▉  | 29018/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.44.up_proj:  79%|███████▉  | 29019/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.44.down_proj:  79%|███████▉  | 29020/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.45.gate_proj:  79%|███████▉  | 29021/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.45.up_proj:  79%|███████▉  | 29022/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.45.down_proj:  79%|███████▉  | 29023/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.46.gate_proj:  79%|███████▉  | 29024/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.46.up_proj:  79%|███████▉  | 29025/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.46.down_proj:  79%|███████▉  | 29026/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.47.gate_proj:  79%|███████▉  | 29027/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.47.up_proj:  79%|███████▉  | 29028/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.47.down_proj:  79%|███████▉  | 29029/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.48.gate_proj:  79%|███████▉  | 29030/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.48.up_proj:  79%|███████▉  | 29031/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.48.down_proj:  79%|███████▉  | 29032/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.49.gate_proj:  79%|███████▉  | 29033/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.49.up_proj:  79%|███████▉  | 29034/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.49.down_proj:  79%|███████▉  | 29035/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.50.gate_proj:  79%|███████▉  | 29036/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.50.up_proj:  79%|███████▉  | 29037/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.50.down_proj:  79%|███████▉  | 29038/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.51.gate_proj:  79%|███████▉  | 29039/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.51.up_proj:  79%|███████▉  | 29040/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.51.down_proj:  79%|███████▉  | 29041/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.52.gate_proj:  79%|███████▉  | 29042/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.52.up_proj:  79%|███████▉  | 29043/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.52.down_proj:  79%|███████▉  | 29044/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.53.gate_proj:  79%|███████▉  | 29045/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.53.up_proj:  79%|███████▉  | 29046/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.53.down_proj:  79%|███████▉  | 29047/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.54.gate_proj:  79%|███████▉  | 29048/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.54.up_proj:  79%|███████▉  | 29049/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.54.down_proj:  79%|███████▉  | 29050/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.55.gate_proj:  79%|███████▉  | 29051/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.55.up_proj:  79%|███████▉  | 29052/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.55.down_proj:  79%|███████▉  | 29053/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.56.gate_proj:  79%|███████▉  | 29054/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.56.up_proj:  79%|███████▉  | 29055/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.56.down_proj:  79%|███████▉  | 29056/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.57.gate_proj:  79%|███████▉  | 29057/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.57.up_proj:  79%|███████▉  | 29058/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.57.down_proj:  79%|███████▉  | 29059/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.58.gate_proj:  79%|███████▉  | 29060/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.58.up_proj:  79%|███████▉  | 29061/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.58.down_proj:  79%|███████▉  | 29062/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.59.gate_proj:  79%|███████▉  | 29063/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.59.up_proj:  79%|███████▉  | 29064/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.59.down_proj:  79%|███████▉  | 29065/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.60.gate_proj:  79%|███████▉  | 29066/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.60.up_proj:  79%|███████▉  | 29067/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.60.down_proj:  79%|███████▉  | 29068/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.61.gate_proj:  79%|███████▉  | 29069/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.61.up_proj:  80%|███████▉  | 29070/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.61.down_proj:  80%|███████▉  | 29071/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.62.gate_proj:  80%|███████▉  | 29072/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.62.up_proj:  80%|███████▉  | 29073/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.62.down_proj:  80%|███████▉  | 29074/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.63.gate_proj:  80%|███████▉  | 29075/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.63.up_proj:  80%|███████▉  | 29076/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.63.down_proj:  80%|███████▉  | 29077/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.64.gate_proj:  80%|███████▉  | 29078/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.64.up_proj:  80%|███████▉  | 29079/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.64.down_proj:  80%|███████▉  | 29080/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.65.gate_proj:  80%|███████▉  | 29081/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.65.up_proj:  80%|███████▉  | 29082/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.65.down_proj:  80%|███████▉  | 29083/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.66.gate_proj:  80%|███████▉  | 29084/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.66.up_proj:  80%|███████▉  | 29085/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.66.down_proj:  80%|███████▉  | 29086/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.67.gate_proj:  80%|███████▉  | 29087/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.67.up_proj:  80%|███████▉  | 29088/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.67.down_proj:  80%|███████▉  | 29089/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.68.gate_proj:  80%|███████▉  | 29090/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.68.up_proj:  80%|███████▉  | 29091/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.68.down_proj:  80%|███████▉  | 29092/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.69.gate_proj:  80%|███████▉  | 29093/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.69.up_proj:  80%|███████▉  | 29094/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.69.down_proj:  80%|███████▉  | 29095/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.70.gate_proj:  80%|███████▉  | 29096/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.70.up_proj:  80%|███████▉  | 29097/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.70.down_proj:  80%|███████▉  | 29098/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.71.gate_proj:  80%|███████▉  | 29099/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.71.up_proj:  80%|███████▉  | 29100/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.71.down_proj:  80%|███████▉  | 29101/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.72.gate_proj:  80%|███████▉  | 29102/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.72.up_proj:  80%|███████▉  | 29103/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.72.down_proj:  80%|███████▉  | 29104/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.73.gate_proj:  80%|███████▉  | 29105/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.73.up_proj:  80%|███████▉  | 29106/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.73.down_proj:  80%|███████▉  | 29107/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.74.gate_proj:  80%|███████▉  | 29108/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.74.up_proj:  80%|███████▉  | 29109/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.74.down_proj:  80%|███████▉  | 29110/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.75.gate_proj:  80%|███████▉  | 29111/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.75.up_proj:  80%|███████▉  | 29112/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.75.down_proj:  80%|███████▉  | 29113/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.76.gate_proj:  80%|███████▉  | 29114/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.76.up_proj:  80%|███████▉  | 29115/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.76.down_proj:  80%|███████▉  | 29116/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.77.gate_proj:  80%|███████▉  | 29117/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.77.up_proj:  80%|███████▉  | 29118/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.77.down_proj:  80%|███████▉  | 29119/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.78.gate_proj:  80%|███████▉  | 29120/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.78.up_proj:  80%|███████▉  | 29121/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.78.down_proj:  80%|███████▉  | 29122/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.79.gate_proj:  80%|███████▉  | 29123/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.79.up_proj:  80%|███████▉  | 29124/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.79.down_proj:  80%|███████▉  | 29125/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.80.gate_proj:  80%|███████▉  | 29126/36566 [00:26<00:06, 1173.45it/s]
packing model.layers.74.mlp.experts.80.up_proj:  80%|███████▉  | 29127/36566 [00:26<00:06, 1173.45it/s]  
packing model.layers.74.mlp.experts.80.up_proj:  80%|███████▉  | 29128/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.80.down_proj:  80%|███████▉  | 29128/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.81.gate_proj:  80%|███████▉  | 29129/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.81.up_proj:  80%|███████▉  | 29130/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.81.down_proj:  80%|███████▉  | 29131/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.82.gate_proj:  80%|███████▉  | 29132/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.82.up_proj:  80%|███████▉  | 29133/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.82.down_proj:  80%|███████▉  | 29134/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.83.gate_proj:  80%|███████▉  | 29135/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.83.up_proj:  80%|███████▉  | 29136/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.83.down_proj:  80%|███████▉  | 29137/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.84.gate_proj:  80%|███████▉  | 29138/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.84.up_proj:  80%|███████▉  | 29139/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.84.down_proj:  80%|███████▉  | 29140/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.85.gate_proj:  80%|███████▉  | 29141/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.85.up_proj:  80%|███████▉  | 29142/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.85.down_proj:  80%|███████▉  | 29143/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.86.gate_proj:  80%|███████▉  | 29144/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.86.up_proj:  80%|███████▉  | 29145/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.86.down_proj:  80%|███████▉  | 29146/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.87.gate_proj:  80%|███████▉  | 29147/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.87.up_proj:  80%|███████▉  | 29148/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.87.down_proj:  80%|███████▉  | 29149/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.88.gate_proj:  80%|███████▉  | 29150/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.88.up_proj:  80%|███████▉  | 29151/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.88.down_proj:  80%|███████▉  | 29152/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.89.gate_proj:  80%|███████▉  | 29153/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.89.up_proj:  80%|███████▉  | 29154/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.89.down_proj:  80%|███████▉  | 29155/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.90.gate_proj:  80%|███████▉  | 29156/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.90.up_proj:  80%|███████▉  | 29157/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.90.down_proj:  80%|███████▉  | 29158/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.91.gate_proj:  80%|███████▉  | 29159/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.91.up_proj:  80%|███████▉  | 29160/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.91.down_proj:  80%|███████▉  | 29161/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.92.gate_proj:  80%|███████▉  | 29162/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.92.up_proj:  80%|███████▉  | 29163/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.92.down_proj:  80%|███████▉  | 29164/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.93.gate_proj:  80%|███████▉  | 29165/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.93.up_proj:  80%|███████▉  | 29166/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.93.down_proj:  80%|███████▉  | 29167/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.94.gate_proj:  80%|███████▉  | 29168/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.94.up_proj:  80%|███████▉  | 29169/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.94.down_proj:  80%|███████▉  | 29170/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.95.gate_proj:  80%|███████▉  | 29171/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.95.up_proj:  80%|███████▉  | 29172/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.95.down_proj:  80%|███████▉  | 29173/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.96.gate_proj:  80%|███████▉  | 29174/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.96.up_proj:  80%|███████▉  | 29175/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.96.down_proj:  80%|███████▉  | 29176/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.97.gate_proj:  80%|███████▉  | 29177/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.97.up_proj:  80%|███████▉  | 29178/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.97.down_proj:  80%|███████▉  | 29179/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.98.gate_proj:  80%|███████▉  | 29180/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.98.up_proj:  80%|███████▉  | 29181/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.98.down_proj:  80%|███████▉  | 29182/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.99.gate_proj:  80%|███████▉  | 29183/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.99.up_proj:  80%|███████▉  | 29184/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.99.down_proj:  80%|███████▉  | 29185/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.100.gate_proj:  80%|███████▉  | 29186/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.100.up_proj:  80%|███████▉  | 29187/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.100.down_proj:  80%|███████▉  | 29188/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.101.gate_proj:  80%|███████▉  | 29189/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.101.up_proj:  80%|███████▉  | 29190/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.101.down_proj:  80%|███████▉  | 29191/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.102.gate_proj:  80%|███████▉  | 29192/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.102.up_proj:  80%|███████▉  | 29193/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.102.down_proj:  80%|███████▉  | 29194/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.103.gate_proj:  80%|███████▉  | 29195/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.103.up_proj:  80%|███████▉  | 29196/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.103.down_proj:  80%|███████▉  | 29197/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.104.gate_proj:  80%|███████▉  | 29198/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.104.up_proj:  80%|███████▉  | 29199/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.104.down_proj:  80%|███████▉  | 29200/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.105.gate_proj:  80%|███████▉  | 29201/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.105.up_proj:  80%|███████▉  | 29202/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.105.down_proj:  80%|███████▉  | 29203/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.106.gate_proj:  80%|███████▉  | 29204/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.106.up_proj:  80%|███████▉  | 29205/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.106.down_proj:  80%|███████▉  | 29206/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.107.gate_proj:  80%|███████▉  | 29207/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.107.up_proj:  80%|███████▉  | 29208/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.107.down_proj:  80%|███████▉  | 29209/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.108.gate_proj:  80%|███████▉  | 29210/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.108.up_proj:  80%|███████▉  | 29211/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.108.down_proj:  80%|███████▉  | 29212/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.109.gate_proj:  80%|███████▉  | 29213/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.109.up_proj:  80%|███████▉  | 29214/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.109.down_proj:  80%|███████▉  | 29215/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.110.gate_proj:  80%|███████▉  | 29216/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.110.up_proj:  80%|███████▉  | 29217/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.110.down_proj:  80%|███████▉  | 29218/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.111.gate_proj:  80%|███████▉  | 29219/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.111.up_proj:  80%|███████▉  | 29220/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.111.down_proj:  80%|███████▉  | 29221/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.112.gate_proj:  80%|███████▉  | 29222/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.112.up_proj:  80%|███████▉  | 29223/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.112.down_proj:  80%|███████▉  | 29224/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.113.gate_proj:  80%|███████▉  | 29225/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.113.up_proj:  80%|███████▉  | 29226/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.113.down_proj:  80%|███████▉  | 29227/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.114.gate_proj:  80%|███████▉  | 29228/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.114.up_proj:  80%|███████▉  | 29229/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.114.down_proj:  80%|███████▉  | 29230/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.115.gate_proj:  80%|███████▉  | 29231/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.115.up_proj:  80%|███████▉  | 29232/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.115.down_proj:  80%|███████▉  | 29233/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.116.gate_proj:  80%|███████▉  | 29234/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.116.up_proj:  80%|███████▉  | 29235/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.116.down_proj:  80%|███████▉  | 29236/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.117.gate_proj:  80%|███████▉  | 29237/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.117.up_proj:  80%|███████▉  | 29238/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.117.down_proj:  80%|███████▉  | 29239/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.118.gate_proj:  80%|███████▉  | 29240/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.118.up_proj:  80%|███████▉  | 29241/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.118.down_proj:  80%|███████▉  | 29242/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.119.gate_proj:  80%|███████▉  | 29243/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.119.up_proj:  80%|███████▉  | 29244/36566 [00:26<00:06, 1173.08it/s]  
packing model.layers.74.mlp.experts.119.down_proj:  80%|███████▉  | 29245/36566 [00:26<00:06, 1173.08it/s]
packing model.layers.74.mlp.experts.119.down_proj:  80%|███████▉  | 29246/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.74.mlp.experts.120.gate_proj:  80%|███████▉  | 29246/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.74.mlp.experts.120.up_proj:  80%|███████▉  | 29247/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.74.mlp.experts.120.down_proj:  80%|███████▉  | 29248/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.74.mlp.experts.121.gate_proj:  80%|███████▉  | 29249/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.74.mlp.experts.121.up_proj:  80%|███████▉  | 29250/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.74.mlp.experts.121.down_proj:  80%|███████▉  | 29251/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.74.mlp.experts.122.gate_proj:  80%|███████▉  | 29252/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.74.mlp.experts.122.up_proj:  80%|████████  | 29253/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.74.mlp.experts.122.down_proj:  80%|████████  | 29254/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.74.mlp.experts.123.gate_proj:  80%|████████  | 29255/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.74.mlp.experts.123.up_proj:  80%|████████  | 29256/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.74.mlp.experts.123.down_proj:  80%|████████  | 29257/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.74.mlp.experts.124.gate_proj:  80%|████████  | 29258/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.74.mlp.experts.124.up_proj:  80%|████████  | 29259/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.74.mlp.experts.124.down_proj:  80%|████████  | 29260/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.74.mlp.experts.125.gate_proj:  80%|████████  | 29261/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.74.mlp.experts.125.up_proj:  80%|████████  | 29262/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.74.mlp.experts.125.down_proj:  80%|████████  | 29263/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.74.mlp.experts.126.gate_proj:  80%|████████  | 29264/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.74.mlp.experts.126.up_proj:  80%|████████  | 29265/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.74.mlp.experts.126.down_proj:  80%|████████  | 29266/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.74.mlp.experts.127.gate_proj:  80%|████████  | 29267/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.74.mlp.experts.127.up_proj:  80%|████████  | 29268/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.74.mlp.experts.127.down_proj:  80%|████████  | 29269/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.0.gate_proj:  80%|████████  | 29270/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.0.up_proj:  80%|████████  | 29271/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.0.down_proj:  80%|████████  | 29272/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.1.gate_proj:  80%|████████  | 29273/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.1.up_proj:  80%|████████  | 29274/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.1.down_proj:  80%|████████  | 29275/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.2.gate_proj:  80%|████████  | 29276/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.2.up_proj:  80%|████████  | 29277/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.2.down_proj:  80%|████████  | 29278/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.3.gate_proj:  80%|████████  | 29279/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.3.up_proj:  80%|████████  | 29280/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.3.down_proj:  80%|████████  | 29281/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.4.gate_proj:  80%|████████  | 29282/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.4.up_proj:  80%|████████  | 29283/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.4.down_proj:  80%|████████  | 29284/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.5.gate_proj:  80%|████████  | 29285/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.5.up_proj:  80%|████████  | 29286/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.5.down_proj:  80%|████████  | 29287/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.6.gate_proj:  80%|████████  | 29288/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.6.up_proj:  80%|████████  | 29289/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.6.down_proj:  80%|████████  | 29290/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.7.gate_proj:  80%|████████  | 29291/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.7.up_proj:  80%|████████  | 29292/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.7.down_proj:  80%|████████  | 29293/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.8.gate_proj:  80%|████████  | 29294/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.8.up_proj:  80%|████████  | 29295/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.8.down_proj:  80%|████████  | 29296/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.9.gate_proj:  80%|████████  | 29297/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.9.up_proj:  80%|████████  | 29298/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.9.down_proj:  80%|████████  | 29299/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.10.gate_proj:  80%|████████  | 29300/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.10.up_proj:  80%|████████  | 29301/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.10.down_proj:  80%|████████  | 29302/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.11.gate_proj:  80%|████████  | 29303/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.11.up_proj:  80%|████████  | 29304/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.11.down_proj:  80%|████████  | 29305/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.12.gate_proj:  80%|████████  | 29306/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.12.up_proj:  80%|████████  | 29307/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.12.down_proj:  80%|████████  | 29308/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.13.gate_proj:  80%|████████  | 29309/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.13.up_proj:  80%|████████  | 29310/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.13.down_proj:  80%|████████  | 29311/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.14.gate_proj:  80%|████████  | 29312/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.14.up_proj:  80%|████████  | 29313/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.14.down_proj:  80%|████████  | 29314/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.15.gate_proj:  80%|████████  | 29315/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.15.up_proj:  80%|████████  | 29316/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.15.down_proj:  80%|████████  | 29317/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.16.gate_proj:  80%|████████  | 29318/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.16.up_proj:  80%|████████  | 29319/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.16.down_proj:  80%|████████  | 29320/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.17.gate_proj:  80%|████████  | 29321/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.17.up_proj:  80%|████████  | 29322/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.17.down_proj:  80%|████████  | 29323/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.18.gate_proj:  80%|████████  | 29324/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.18.up_proj:  80%|████████  | 29325/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.18.down_proj:  80%|████████  | 29326/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.19.gate_proj:  80%|████████  | 29327/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.19.up_proj:  80%|████████  | 29328/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.19.down_proj:  80%|████████  | 29329/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.20.gate_proj:  80%|████████  | 29330/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.20.up_proj:  80%|████████  | 29331/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.20.down_proj:  80%|████████  | 29332/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.21.gate_proj:  80%|████████  | 29333/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.21.up_proj:  80%|████████  | 29334/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.21.down_proj:  80%|████████  | 29335/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.22.gate_proj:  80%|████████  | 29336/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.22.up_proj:  80%|████████  | 29337/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.22.down_proj:  80%|████████  | 29338/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.23.gate_proj:  80%|████████  | 29339/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.23.up_proj:  80%|████████  | 29340/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.23.down_proj:  80%|████████  | 29341/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.24.gate_proj:  80%|████████  | 29342/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.24.up_proj:  80%|████████  | 29343/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.24.down_proj:  80%|████████  | 29344/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.25.gate_proj:  80%|████████  | 29345/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.25.up_proj:  80%|████████  | 29346/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.25.down_proj:  80%|████████  | 29347/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.26.gate_proj:  80%|████████  | 29348/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.26.up_proj:  80%|████████  | 29349/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.26.down_proj:  80%|████████  | 29350/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.27.gate_proj:  80%|████████  | 29351/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.27.up_proj:  80%|████████  | 29352/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.27.down_proj:  80%|████████  | 29353/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.28.gate_proj:  80%|████████  | 29354/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.28.up_proj:  80%|████████  | 29355/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.28.down_proj:  80%|████████  | 29356/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.29.gate_proj:  80%|████████  | 29357/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.29.up_proj:  80%|████████  | 29358/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.29.down_proj:  80%|████████  | 29359/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.30.gate_proj:  80%|████████  | 29360/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.30.up_proj:  80%|████████  | 29361/36566 [00:26<00:06, 1173.27it/s]  
packing model.layers.75.mlp.experts.30.down_proj:  80%|████████  | 29362/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.31.gate_proj:  80%|████████  | 29363/36566 [00:26<00:06, 1173.27it/s]
packing model.layers.75.mlp.experts.31.gate_proj:  80%|████████  | 29364/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.31.up_proj:  80%|████████  | 29364/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.31.down_proj:  80%|████████  | 29365/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.32.gate_proj:  80%|████████  | 29366/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.32.up_proj:  80%|████████  | 29367/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.32.down_proj:  80%|████████  | 29368/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.33.gate_proj:  80%|████████  | 29369/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.33.up_proj:  80%|████████  | 29370/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.33.down_proj:  80%|████████  | 29371/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.34.gate_proj:  80%|████████  | 29372/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.34.up_proj:  80%|████████  | 29373/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.34.down_proj:  80%|████████  | 29374/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.35.gate_proj:  80%|████████  | 29375/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.35.up_proj:  80%|████████  | 29376/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.35.down_proj:  80%|████████  | 29377/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.36.gate_proj:  80%|████████  | 29378/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.36.up_proj:  80%|████████  | 29379/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.36.down_proj:  80%|████████  | 29380/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.37.gate_proj:  80%|████████  | 29381/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.37.up_proj:  80%|████████  | 29382/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.37.down_proj:  80%|████████  | 29383/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.38.gate_proj:  80%|████████  | 29384/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.38.up_proj:  80%|████████  | 29385/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.38.down_proj:  80%|████████  | 29386/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.39.gate_proj:  80%|████████  | 29387/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.39.up_proj:  80%|████████  | 29388/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.39.down_proj:  80%|████████  | 29389/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.40.gate_proj:  80%|████████  | 29390/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.40.up_proj:  80%|████████  | 29391/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.40.down_proj:  80%|████████  | 29392/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.41.gate_proj:  80%|████████  | 29393/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.41.up_proj:  80%|████████  | 29394/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.41.down_proj:  80%|████████  | 29395/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.42.gate_proj:  80%|████████  | 29396/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.42.up_proj:  80%|████████  | 29397/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.42.down_proj:  80%|████████  | 29398/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.43.gate_proj:  80%|████████  | 29399/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.43.up_proj:  80%|████████  | 29400/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.43.down_proj:  80%|████████  | 29401/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.44.gate_proj:  80%|████████  | 29402/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.44.up_proj:  80%|████████  | 29403/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.44.down_proj:  80%|████████  | 29404/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.45.gate_proj:  80%|████████  | 29405/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.45.up_proj:  80%|████████  | 29406/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.45.down_proj:  80%|████████  | 29407/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.46.gate_proj:  80%|████████  | 29408/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.46.up_proj:  80%|████████  | 29409/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.46.down_proj:  80%|████████  | 29410/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.47.gate_proj:  80%|████████  | 29411/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.47.up_proj:  80%|████████  | 29412/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.47.down_proj:  80%|████████  | 29413/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.48.gate_proj:  80%|████████  | 29414/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.48.up_proj:  80%|████████  | 29415/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.48.down_proj:  80%|████████  | 29416/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.49.gate_proj:  80%|████████  | 29417/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.49.up_proj:  80%|████████  | 29418/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.49.down_proj:  80%|████████  | 29419/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.50.gate_proj:  80%|████████  | 29420/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.50.up_proj:  80%|████████  | 29421/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.50.down_proj:  80%|████████  | 29422/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.51.gate_proj:  80%|████████  | 29423/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.51.up_proj:  80%|████████  | 29424/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.51.down_proj:  80%|████████  | 29425/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.52.gate_proj:  80%|████████  | 29426/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.52.up_proj:  80%|████████  | 29427/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.52.down_proj:  80%|████████  | 29428/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.53.gate_proj:  80%|████████  | 29429/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.53.up_proj:  80%|████████  | 29430/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.53.down_proj:  80%|████████  | 29431/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.54.gate_proj:  80%|████████  | 29432/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.54.up_proj:  80%|████████  | 29433/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.54.down_proj:  80%|████████  | 29434/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.55.gate_proj:  80%|████████  | 29435/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.55.up_proj:  81%|████████  | 29436/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.55.down_proj:  81%|████████  | 29437/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.56.gate_proj:  81%|████████  | 29438/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.56.up_proj:  81%|████████  | 29439/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.56.down_proj:  81%|████████  | 29440/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.57.gate_proj:  81%|████████  | 29441/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.57.up_proj:  81%|████████  | 29442/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.57.down_proj:  81%|████████  | 29443/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.58.gate_proj:  81%|████████  | 29444/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.58.up_proj:  81%|████████  | 29445/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.58.down_proj:  81%|████████  | 29446/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.59.gate_proj:  81%|████████  | 29447/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.59.up_proj:  81%|████████  | 29448/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.59.down_proj:  81%|████████  | 29449/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.60.gate_proj:  81%|████████  | 29450/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.60.up_proj:  81%|████████  | 29451/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.60.down_proj:  81%|████████  | 29452/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.61.gate_proj:  81%|████████  | 29453/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.61.up_proj:  81%|████████  | 29454/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.61.down_proj:  81%|████████  | 29455/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.62.gate_proj:  81%|████████  | 29456/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.62.up_proj:  81%|████████  | 29457/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.62.down_proj:  81%|████████  | 29458/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.63.gate_proj:  81%|████████  | 29459/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.63.up_proj:  81%|████████  | 29460/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.63.down_proj:  81%|████████  | 29461/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.64.gate_proj:  81%|████████  | 29462/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.64.up_proj:  81%|████████  | 29463/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.64.down_proj:  81%|████████  | 29464/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.65.gate_proj:  81%|████████  | 29465/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.65.up_proj:  81%|████████  | 29466/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.65.down_proj:  81%|████████  | 29467/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.66.gate_proj:  81%|████████  | 29468/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.66.up_proj:  81%|████████  | 29469/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.66.down_proj:  81%|████████  | 29470/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.67.gate_proj:  81%|████████  | 29471/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.67.up_proj:  81%|████████  | 29472/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.67.down_proj:  81%|████████  | 29473/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.68.gate_proj:  81%|████████  | 29474/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.68.up_proj:  81%|████████  | 29475/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.68.down_proj:  81%|████████  | 29476/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.69.gate_proj:  81%|████████  | 29477/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.69.up_proj:  81%|████████  | 29478/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.69.down_proj:  81%|████████  | 29479/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.70.gate_proj:  81%|████████  | 29480/36566 [00:26<00:06, 1171.17it/s]
packing model.layers.75.mlp.experts.70.up_proj:  81%|████████  | 29481/36566 [00:26<00:06, 1171.17it/s]  
packing model.layers.75.mlp.experts.70.up_proj:  81%|████████  | 29482/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.70.down_proj:  81%|████████  | 29482/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.71.gate_proj:  81%|████████  | 29483/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.71.up_proj:  81%|████████  | 29484/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.71.down_proj:  81%|████████  | 29485/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.72.gate_proj:  81%|████████  | 29486/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.72.up_proj:  81%|████████  | 29487/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.72.down_proj:  81%|████████  | 29488/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.73.gate_proj:  81%|████████  | 29489/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.73.up_proj:  81%|████████  | 29490/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.73.down_proj:  81%|████████  | 29491/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.74.gate_proj:  81%|████████  | 29492/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.74.up_proj:  81%|████████  | 29493/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.74.down_proj:  81%|████████  | 29494/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.75.gate_proj:  81%|████████  | 29495/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.75.up_proj:  81%|████████  | 29496/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.75.down_proj:  81%|████████  | 29497/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.76.gate_proj:  81%|████████  | 29498/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.76.up_proj:  81%|████████  | 29499/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.76.down_proj:  81%|████████  | 29500/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.77.gate_proj:  81%|████████  | 29501/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.77.up_proj:  81%|████████  | 29502/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.77.down_proj:  81%|████████  | 29503/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.78.gate_proj:  81%|████████  | 29504/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.78.up_proj:  81%|████████  | 29505/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.78.down_proj:  81%|████████  | 29506/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.79.gate_proj:  81%|████████  | 29507/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.79.up_proj:  81%|████████  | 29508/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.79.down_proj:  81%|████████  | 29509/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.80.gate_proj:  81%|████████  | 29510/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.80.up_proj:  81%|████████  | 29511/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.80.down_proj:  81%|████████  | 29512/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.81.gate_proj:  81%|████████  | 29513/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.81.up_proj:  81%|████████  | 29514/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.81.down_proj:  81%|████████  | 29515/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.82.gate_proj:  81%|████████  | 29516/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.82.up_proj:  81%|████████  | 29517/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.82.down_proj:  81%|████████  | 29518/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.83.gate_proj:  81%|████████  | 29519/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.83.up_proj:  81%|████████  | 29520/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.83.down_proj:  81%|████████  | 29521/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.84.gate_proj:  81%|████████  | 29522/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.84.up_proj:  81%|████████  | 29523/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.84.down_proj:  81%|████████  | 29524/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.85.gate_proj:  81%|████████  | 29525/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.85.up_proj:  81%|████████  | 29526/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.85.down_proj:  81%|████████  | 29527/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.86.gate_proj:  81%|████████  | 29528/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.86.up_proj:  81%|████████  | 29529/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.86.down_proj:  81%|████████  | 29530/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.87.gate_proj:  81%|████████  | 29531/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.87.up_proj:  81%|████████  | 29532/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.87.down_proj:  81%|████████  | 29533/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.88.gate_proj:  81%|████████  | 29534/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.88.up_proj:  81%|████████  | 29535/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.88.down_proj:  81%|████████  | 29536/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.89.gate_proj:  81%|████████  | 29537/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.89.up_proj:  81%|████████  | 29538/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.89.down_proj:  81%|████████  | 29539/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.90.gate_proj:  81%|████████  | 29540/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.90.up_proj:  81%|████████  | 29541/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.90.down_proj:  81%|████████  | 29542/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.91.gate_proj:  81%|████████  | 29543/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.91.up_proj:  81%|████████  | 29544/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.91.down_proj:  81%|████████  | 29545/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.92.gate_proj:  81%|████████  | 29546/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.92.up_proj:  81%|████████  | 29547/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.92.down_proj:  81%|████████  | 29548/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.93.gate_proj:  81%|████████  | 29549/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.93.up_proj:  81%|████████  | 29550/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.93.down_proj:  81%|████████  | 29551/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.94.gate_proj:  81%|████████  | 29552/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.94.up_proj:  81%|████████  | 29553/36566 [00:26<00:06, 1168.62it/s]  
packing model.layers.75.mlp.experts.94.down_proj:  81%|████████  | 29554/36566 [00:26<00:06, 1168.62it/s]
packing model.layers.75.mlp.experts.95.gate_proj:  81%|████████  | 29555/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.95.up_proj:  81%|████████  | 29556/36566 [00:26<00:05, 1168.62it/s]  
packing model.layers.75.mlp.experts.95.down_proj:  81%|████████  | 29557/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.96.gate_proj:  81%|████████  | 29558/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.96.up_proj:  81%|████████  | 29559/36566 [00:26<00:05, 1168.62it/s]  
packing model.layers.75.mlp.experts.96.down_proj:  81%|████████  | 29560/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.97.gate_proj:  81%|████████  | 29561/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.97.up_proj:  81%|████████  | 29562/36566 [00:26<00:05, 1168.62it/s]  
packing model.layers.75.mlp.experts.97.down_proj:  81%|████████  | 29563/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.98.gate_proj:  81%|████████  | 29564/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.98.up_proj:  81%|████████  | 29565/36566 [00:26<00:05, 1168.62it/s]  
packing model.layers.75.mlp.experts.98.down_proj:  81%|████████  | 29566/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.99.gate_proj:  81%|████████  | 29567/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.99.up_proj:  81%|████████  | 29568/36566 [00:26<00:05, 1168.62it/s]  
packing model.layers.75.mlp.experts.99.down_proj:  81%|████████  | 29569/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.100.gate_proj:  81%|████████  | 29570/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.100.up_proj:  81%|████████  | 29571/36566 [00:26<00:05, 1168.62it/s]  
packing model.layers.75.mlp.experts.100.down_proj:  81%|████████  | 29572/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.101.gate_proj:  81%|████████  | 29573/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.101.up_proj:  81%|████████  | 29574/36566 [00:26<00:05, 1168.62it/s]  
packing model.layers.75.mlp.experts.101.down_proj:  81%|████████  | 29575/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.102.gate_proj:  81%|████████  | 29576/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.102.up_proj:  81%|████████  | 29577/36566 [00:26<00:05, 1168.62it/s]  
packing model.layers.75.mlp.experts.102.down_proj:  81%|████████  | 29578/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.103.gate_proj:  81%|████████  | 29579/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.103.up_proj:  81%|████████  | 29580/36566 [00:26<00:05, 1168.62it/s]  
packing model.layers.75.mlp.experts.103.down_proj:  81%|████████  | 29581/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.104.gate_proj:  81%|████████  | 29582/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.104.up_proj:  81%|████████  | 29583/36566 [00:26<00:05, 1168.62it/s]  
packing model.layers.75.mlp.experts.104.down_proj:  81%|████████  | 29584/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.105.gate_proj:  81%|████████  | 29585/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.105.up_proj:  81%|████████  | 29586/36566 [00:26<00:05, 1168.62it/s]  
packing model.layers.75.mlp.experts.105.down_proj:  81%|████████  | 29587/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.106.gate_proj:  81%|████████  | 29588/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.106.up_proj:  81%|████████  | 29589/36566 [00:26<00:05, 1168.62it/s]  
packing model.layers.75.mlp.experts.106.down_proj:  81%|████████  | 29590/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.107.gate_proj:  81%|████████  | 29591/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.107.up_proj:  81%|████████  | 29592/36566 [00:26<00:05, 1168.62it/s]  
packing model.layers.75.mlp.experts.107.down_proj:  81%|████████  | 29593/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.108.gate_proj:  81%|████████  | 29594/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.108.up_proj:  81%|████████  | 29595/36566 [00:26<00:05, 1168.62it/s]  
packing model.layers.75.mlp.experts.108.down_proj:  81%|████████  | 29596/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.109.gate_proj:  81%|████████  | 29597/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.109.up_proj:  81%|████████  | 29598/36566 [00:26<00:05, 1168.62it/s]  
packing model.layers.75.mlp.experts.109.down_proj:  81%|████████  | 29599/36566 [00:26<00:05, 1168.62it/s]
packing model.layers.75.mlp.experts.109.down_proj:  81%|████████  | 29600/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.110.gate_proj:  81%|████████  | 29600/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.110.up_proj:  81%|████████  | 29601/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.110.down_proj:  81%|████████  | 29602/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.111.gate_proj:  81%|████████  | 29603/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.111.up_proj:  81%|████████  | 29604/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.111.down_proj:  81%|████████  | 29605/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.112.gate_proj:  81%|████████  | 29606/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.112.up_proj:  81%|████████  | 29607/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.112.down_proj:  81%|████████  | 29608/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.113.gate_proj:  81%|████████  | 29609/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.113.up_proj:  81%|████████  | 29610/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.113.down_proj:  81%|████████  | 29611/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.114.gate_proj:  81%|████████  | 29612/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.114.up_proj:  81%|████████  | 29613/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.114.down_proj:  81%|████████  | 29614/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.115.gate_proj:  81%|████████  | 29615/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.115.up_proj:  81%|████████  | 29616/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.115.down_proj:  81%|████████  | 29617/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.116.gate_proj:  81%|████████  | 29618/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.116.up_proj:  81%|████████  | 29619/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.116.down_proj:  81%|████████  | 29620/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.117.gate_proj:  81%|████████  | 29621/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.117.up_proj:  81%|████████  | 29622/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.117.down_proj:  81%|████████  | 29623/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.118.gate_proj:  81%|████████  | 29624/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.118.up_proj:  81%|████████  | 29625/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.118.down_proj:  81%|████████  | 29626/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.119.gate_proj:  81%|████████  | 29627/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.119.up_proj:  81%|████████  | 29628/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.119.down_proj:  81%|████████  | 29629/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.120.gate_proj:  81%|████████  | 29630/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.120.up_proj:  81%|████████  | 29631/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.120.down_proj:  81%|████████  | 29632/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.121.gate_proj:  81%|████████  | 29633/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.121.up_proj:  81%|████████  | 29634/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.121.down_proj:  81%|████████  | 29635/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.122.gate_proj:  81%|████████  | 29636/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.122.up_proj:  81%|████████  | 29637/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.122.down_proj:  81%|████████  | 29638/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.123.gate_proj:  81%|████████  | 29639/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.123.up_proj:  81%|████████  | 29640/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.123.down_proj:  81%|████████  | 29641/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.124.gate_proj:  81%|████████  | 29642/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.124.up_proj:  81%|████████  | 29643/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.124.down_proj:  81%|████████  | 29644/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.125.gate_proj:  81%|████████  | 29645/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.125.up_proj:  81%|████████  | 29646/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.125.down_proj:  81%|████████  | 29647/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.126.gate_proj:  81%|████████  | 29648/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.126.up_proj:  81%|████████  | 29649/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.126.down_proj:  81%|████████  | 29650/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.127.gate_proj:  81%|████████  | 29651/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.75.mlp.experts.127.up_proj:  81%|████████  | 29652/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.75.mlp.experts.127.down_proj:  81%|████████  | 29653/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.0.gate_proj:  81%|████████  | 29654/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.0.up_proj:  81%|████████  | 29655/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.0.down_proj:  81%|████████  | 29656/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.1.gate_proj:  81%|████████  | 29657/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.1.up_proj:  81%|████████  | 29658/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.1.down_proj:  81%|████████  | 29659/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.2.gate_proj:  81%|████████  | 29660/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.2.up_proj:  81%|████████  | 29661/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.2.down_proj:  81%|████████  | 29662/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.3.gate_proj:  81%|████████  | 29663/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.3.up_proj:  81%|████████  | 29664/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.3.down_proj:  81%|████████  | 29665/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.4.gate_proj:  81%|████████  | 29666/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.4.up_proj:  81%|████████  | 29667/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.4.down_proj:  81%|████████  | 29668/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.5.gate_proj:  81%|████████  | 29669/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.5.up_proj:  81%|████████  | 29670/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.5.down_proj:  81%|████████  | 29671/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.6.gate_proj:  81%|████████  | 29672/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.6.up_proj:  81%|████████  | 29673/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.6.down_proj:  81%|████████  | 29674/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.7.gate_proj:  81%|████████  | 29675/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.7.up_proj:  81%|████████  | 29676/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.7.down_proj:  81%|████████  | 29677/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.8.gate_proj:  81%|████████  | 29678/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.8.up_proj:  81%|████████  | 29679/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.8.down_proj:  81%|████████  | 29680/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.9.gate_proj:  81%|████████  | 29681/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.9.up_proj:  81%|████████  | 29682/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.9.down_proj:  81%|████████  | 29683/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.10.gate_proj:  81%|████████  | 29684/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.10.up_proj:  81%|████████  | 29685/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.10.down_proj:  81%|████████  | 29686/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.11.gate_proj:  81%|████████  | 29687/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.11.up_proj:  81%|████████  | 29688/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.11.down_proj:  81%|████████  | 29689/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.12.gate_proj:  81%|████████  | 29690/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.12.up_proj:  81%|████████  | 29691/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.12.down_proj:  81%|████████  | 29692/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.13.gate_proj:  81%|████████  | 29693/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.13.up_proj:  81%|████████  | 29694/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.13.down_proj:  81%|████████  | 29695/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.14.gate_proj:  81%|████████  | 29696/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.14.up_proj:  81%|████████  | 29697/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.14.down_proj:  81%|████████  | 29698/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.15.gate_proj:  81%|████████  | 29699/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.15.up_proj:  81%|████████  | 29700/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.15.down_proj:  81%|████████  | 29701/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.16.gate_proj:  81%|████████  | 29702/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.16.up_proj:  81%|████████  | 29703/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.16.down_proj:  81%|████████  | 29704/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.17.gate_proj:  81%|████████  | 29705/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.17.up_proj:  81%|████████  | 29706/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.17.down_proj:  81%|████████  | 29707/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.18.gate_proj:  81%|████████  | 29708/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.18.up_proj:  81%|████████  | 29709/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.18.down_proj:  81%|████████▏ | 29710/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.19.gate_proj:  81%|████████▏ | 29711/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.19.up_proj:  81%|████████▏ | 29712/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.19.down_proj:  81%|████████▏ | 29713/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.20.gate_proj:  81%|████████▏ | 29714/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.20.up_proj:  81%|████████▏ | 29715/36566 [00:26<00:05, 1170.53it/s]  
packing model.layers.76.mlp.experts.20.down_proj:  81%|████████▏ | 29716/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.21.gate_proj:  81%|████████▏ | 29717/36566 [00:26<00:05, 1170.53it/s]
packing model.layers.76.mlp.experts.21.gate_proj:  81%|████████▏ | 29718/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.21.up_proj:  81%|████████▏ | 29718/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.21.down_proj:  81%|████████▏ | 29719/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.22.gate_proj:  81%|████████▏ | 29720/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.22.up_proj:  81%|████████▏ | 29721/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.22.down_proj:  81%|████████▏ | 29722/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.23.gate_proj:  81%|████████▏ | 29723/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.23.up_proj:  81%|████████▏ | 29724/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.23.down_proj:  81%|████████▏ | 29725/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.24.gate_proj:  81%|████████▏ | 29726/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.24.up_proj:  81%|████████▏ | 29727/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.24.down_proj:  81%|████████▏ | 29728/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.25.gate_proj:  81%|████████▏ | 29729/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.25.up_proj:  81%|████████▏ | 29730/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.25.down_proj:  81%|████████▏ | 29731/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.26.gate_proj:  81%|████████▏ | 29732/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.26.up_proj:  81%|████████▏ | 29733/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.26.down_proj:  81%|████████▏ | 29734/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.27.gate_proj:  81%|████████▏ | 29735/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.27.up_proj:  81%|████████▏ | 29736/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.27.down_proj:  81%|████████▏ | 29737/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.28.gate_proj:  81%|████████▏ | 29738/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.28.up_proj:  81%|████████▏ | 29739/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.28.down_proj:  81%|████████▏ | 29740/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.29.gate_proj:  81%|████████▏ | 29741/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.29.up_proj:  81%|████████▏ | 29742/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.29.down_proj:  81%|████████▏ | 29743/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.30.gate_proj:  81%|████████▏ | 29744/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.30.up_proj:  81%|████████▏ | 29745/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.30.down_proj:  81%|████████▏ | 29746/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.31.gate_proj:  81%|████████▏ | 29747/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.31.up_proj:  81%|████████▏ | 29748/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.31.down_proj:  81%|████████▏ | 29749/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.32.gate_proj:  81%|████████▏ | 29750/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.32.up_proj:  81%|████████▏ | 29751/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.32.down_proj:  81%|████████▏ | 29752/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.33.gate_proj:  81%|████████▏ | 29753/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.33.up_proj:  81%|████████▏ | 29754/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.33.down_proj:  81%|████████▏ | 29755/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.34.gate_proj:  81%|████████▏ | 29756/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.34.up_proj:  81%|████████▏ | 29757/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.34.down_proj:  81%|████████▏ | 29758/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.35.gate_proj:  81%|████████▏ | 29759/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.35.up_proj:  81%|████████▏ | 29760/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.35.down_proj:  81%|████████▏ | 29761/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.36.gate_proj:  81%|████████▏ | 29762/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.36.up_proj:  81%|████████▏ | 29763/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.36.down_proj:  81%|████████▏ | 29764/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.37.gate_proj:  81%|████████▏ | 29765/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.37.up_proj:  81%|████████▏ | 29766/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.37.down_proj:  81%|████████▏ | 29767/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.38.gate_proj:  81%|████████▏ | 29768/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.38.up_proj:  81%|████████▏ | 29769/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.38.down_proj:  81%|████████▏ | 29770/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.39.gate_proj:  81%|████████▏ | 29771/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.39.up_proj:  81%|████████▏ | 29772/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.39.down_proj:  81%|████████▏ | 29773/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.40.gate_proj:  81%|████████▏ | 29774/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.40.up_proj:  81%|████████▏ | 29775/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.40.down_proj:  81%|████████▏ | 29776/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.41.gate_proj:  81%|████████▏ | 29777/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.41.up_proj:  81%|████████▏ | 29778/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.41.down_proj:  81%|████████▏ | 29779/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.42.gate_proj:  81%|████████▏ | 29780/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.42.up_proj:  81%|████████▏ | 29781/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.42.down_proj:  81%|████████▏ | 29782/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.43.gate_proj:  81%|████████▏ | 29783/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.43.up_proj:  81%|████████▏ | 29784/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.43.down_proj:  81%|████████▏ | 29785/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.44.gate_proj:  81%|████████▏ | 29786/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.44.up_proj:  81%|████████▏ | 29787/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.44.down_proj:  81%|████████▏ | 29788/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.45.gate_proj:  81%|████████▏ | 29789/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.45.up_proj:  81%|████████▏ | 29790/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.45.down_proj:  81%|████████▏ | 29791/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.46.gate_proj:  81%|████████▏ | 29792/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.46.up_proj:  81%|████████▏ | 29793/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.46.down_proj:  81%|████████▏ | 29794/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.47.gate_proj:  81%|████████▏ | 29795/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.47.up_proj:  81%|████████▏ | 29796/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.47.down_proj:  81%|████████▏ | 29797/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.48.gate_proj:  81%|████████▏ | 29798/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.48.up_proj:  81%|████████▏ | 29799/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.48.down_proj:  81%|████████▏ | 29800/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.49.gate_proj:  81%|████████▏ | 29801/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.49.up_proj:  82%|████████▏ | 29802/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.49.down_proj:  82%|████████▏ | 29803/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.50.gate_proj:  82%|████████▏ | 29804/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.50.up_proj:  82%|████████▏ | 29805/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.50.down_proj:  82%|████████▏ | 29806/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.51.gate_proj:  82%|████████▏ | 29807/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.51.up_proj:  82%|████████▏ | 29808/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.51.down_proj:  82%|████████▏ | 29809/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.52.gate_proj:  82%|████████▏ | 29810/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.52.up_proj:  82%|████████▏ | 29811/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.52.down_proj:  82%|████████▏ | 29812/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.53.gate_proj:  82%|████████▏ | 29813/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.53.up_proj:  82%|████████▏ | 29814/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.53.down_proj:  82%|████████▏ | 29815/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.54.gate_proj:  82%|████████▏ | 29816/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.54.up_proj:  82%|████████▏ | 29817/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.54.down_proj:  82%|████████▏ | 29818/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.55.gate_proj:  82%|████████▏ | 29819/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.55.up_proj:  82%|████████▏ | 29820/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.55.down_proj:  82%|████████▏ | 29821/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.56.gate_proj:  82%|████████▏ | 29822/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.56.up_proj:  82%|████████▏ | 29823/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.56.down_proj:  82%|████████▏ | 29824/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.57.gate_proj:  82%|████████▏ | 29825/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.57.up_proj:  82%|████████▏ | 29826/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.57.down_proj:  82%|████████▏ | 29827/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.58.gate_proj:  82%|████████▏ | 29828/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.58.up_proj:  82%|████████▏ | 29829/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.58.down_proj:  82%|████████▏ | 29830/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.59.gate_proj:  82%|████████▏ | 29831/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.59.up_proj:  82%|████████▏ | 29832/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.59.down_proj:  82%|████████▏ | 29833/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.60.gate_proj:  82%|████████▏ | 29834/36566 [00:26<00:05, 1172.81it/s]
packing model.layers.76.mlp.experts.60.up_proj:  82%|████████▏ | 29835/36566 [00:26<00:05, 1172.81it/s]  
packing model.layers.76.mlp.experts.60.up_proj:  82%|████████▏ | 29836/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.60.down_proj:  82%|████████▏ | 29836/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.61.gate_proj:  82%|████████▏ | 29837/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.61.up_proj:  82%|████████▏ | 29838/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.61.down_proj:  82%|████████▏ | 29839/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.62.gate_proj:  82%|████████▏ | 29840/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.62.up_proj:  82%|████████▏ | 29841/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.62.down_proj:  82%|████████▏ | 29842/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.63.gate_proj:  82%|████████▏ | 29843/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.63.up_proj:  82%|████████▏ | 29844/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.63.down_proj:  82%|████████▏ | 29845/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.64.gate_proj:  82%|████████▏ | 29846/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.64.up_proj:  82%|████████▏ | 29847/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.64.down_proj:  82%|████████▏ | 29848/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.65.gate_proj:  82%|████████▏ | 29849/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.65.up_proj:  82%|████████▏ | 29850/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.65.down_proj:  82%|████████▏ | 29851/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.66.gate_proj:  82%|████████▏ | 29852/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.66.up_proj:  82%|████████▏ | 29853/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.66.down_proj:  82%|████████▏ | 29854/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.67.gate_proj:  82%|████████▏ | 29855/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.67.up_proj:  82%|████████▏ | 29856/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.67.down_proj:  82%|████████▏ | 29857/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.68.gate_proj:  82%|████████▏ | 29858/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.68.up_proj:  82%|████████▏ | 29859/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.68.down_proj:  82%|████████▏ | 29860/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.69.gate_proj:  82%|████████▏ | 29861/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.69.up_proj:  82%|████████▏ | 29862/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.69.down_proj:  82%|████████▏ | 29863/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.70.gate_proj:  82%|████████▏ | 29864/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.70.up_proj:  82%|████████▏ | 29865/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.70.down_proj:  82%|████████▏ | 29866/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.71.gate_proj:  82%|████████▏ | 29867/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.71.up_proj:  82%|████████▏ | 29868/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.71.down_proj:  82%|████████▏ | 29869/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.72.gate_proj:  82%|████████▏ | 29870/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.72.up_proj:  82%|████████▏ | 29871/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.72.down_proj:  82%|████████▏ | 29872/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.73.gate_proj:  82%|████████▏ | 29873/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.73.up_proj:  82%|████████▏ | 29874/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.73.down_proj:  82%|████████▏ | 29875/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.74.gate_proj:  82%|████████▏ | 29876/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.74.up_proj:  82%|████████▏ | 29877/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.74.down_proj:  82%|████████▏ | 29878/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.75.gate_proj:  82%|████████▏ | 29879/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.75.up_proj:  82%|████████▏ | 29880/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.75.down_proj:  82%|████████▏ | 29881/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.76.gate_proj:  82%|████████▏ | 29882/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.76.up_proj:  82%|████████▏ | 29883/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.76.down_proj:  82%|████████▏ | 29884/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.77.gate_proj:  82%|████████▏ | 29885/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.77.up_proj:  82%|████████▏ | 29886/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.77.down_proj:  82%|████████▏ | 29887/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.78.gate_proj:  82%|████████▏ | 29888/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.78.up_proj:  82%|████████▏ | 29889/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.78.down_proj:  82%|████████▏ | 29890/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.79.gate_proj:  82%|████████▏ | 29891/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.79.up_proj:  82%|████████▏ | 29892/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.79.down_proj:  82%|████████▏ | 29893/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.80.gate_proj:  82%|████████▏ | 29894/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.80.up_proj:  82%|████████▏ | 29895/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.80.down_proj:  82%|████████▏ | 29896/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.81.gate_proj:  82%|████████▏ | 29897/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.81.up_proj:  82%|████████▏ | 29898/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.81.down_proj:  82%|████████▏ | 29899/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.82.gate_proj:  82%|████████▏ | 29900/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.82.up_proj:  82%|████████▏ | 29901/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.82.down_proj:  82%|████████▏ | 29902/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.83.gate_proj:  82%|████████▏ | 29903/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.83.up_proj:  82%|████████▏ | 29904/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.83.down_proj:  82%|████████▏ | 29905/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.84.gate_proj:  82%|████████▏ | 29906/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.84.up_proj:  82%|████████▏ | 29907/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.84.down_proj:  82%|████████▏ | 29908/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.85.gate_proj:  82%|████████▏ | 29909/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.85.up_proj:  82%|████████▏ | 29910/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.85.down_proj:  82%|████████▏ | 29911/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.86.gate_proj:  82%|████████▏ | 29912/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.86.up_proj:  82%|████████▏ | 29913/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.86.down_proj:  82%|████████▏ | 29914/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.87.gate_proj:  82%|████████▏ | 29915/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.87.up_proj:  82%|████████▏ | 29916/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.87.down_proj:  82%|████████▏ | 29917/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.88.gate_proj:  82%|████████▏ | 29918/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.88.up_proj:  82%|████████▏ | 29919/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.88.down_proj:  82%|████████▏ | 29920/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.89.gate_proj:  82%|████████▏ | 29921/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.89.up_proj:  82%|████████▏ | 29922/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.89.down_proj:  82%|████████▏ | 29923/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.90.gate_proj:  82%|████████▏ | 29924/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.90.up_proj:  82%|████████▏ | 29925/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.90.down_proj:  82%|████████▏ | 29926/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.91.gate_proj:  82%|████████▏ | 29927/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.91.up_proj:  82%|████████▏ | 29928/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.91.down_proj:  82%|████████▏ | 29929/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.92.gate_proj:  82%|████████▏ | 29930/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.92.up_proj:  82%|████████▏ | 29931/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.92.down_proj:  82%|████████▏ | 29932/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.93.gate_proj:  82%|████████▏ | 29933/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.93.up_proj:  82%|████████▏ | 29934/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.93.down_proj:  82%|████████▏ | 29935/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.94.gate_proj:  82%|████████▏ | 29936/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.94.up_proj:  82%|████████▏ | 29937/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.94.down_proj:  82%|████████▏ | 29938/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.95.gate_proj:  82%|████████▏ | 29939/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.95.up_proj:  82%|████████▏ | 29940/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.95.down_proj:  82%|████████▏ | 29941/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.96.gate_proj:  82%|████████▏ | 29942/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.96.up_proj:  82%|████████▏ | 29943/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.96.down_proj:  82%|████████▏ | 29944/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.97.gate_proj:  82%|████████▏ | 29945/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.97.up_proj:  82%|████████▏ | 29946/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.97.down_proj:  82%|████████▏ | 29947/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.98.gate_proj:  82%|████████▏ | 29948/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.98.up_proj:  82%|████████▏ | 29949/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.98.down_proj:  82%|████████▏ | 29950/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.99.gate_proj:  82%|████████▏ | 29951/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.99.up_proj:  82%|████████▏ | 29952/36566 [00:26<00:05, 1173.92it/s]  
packing model.layers.76.mlp.experts.99.down_proj:  82%|████████▏ | 29953/36566 [00:26<00:05, 1173.92it/s]
packing model.layers.76.mlp.experts.99.down_proj:  82%|████████▏ | 29954/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.100.gate_proj:  82%|████████▏ | 29954/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.100.up_proj:  82%|████████▏ | 29955/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.100.down_proj:  82%|████████▏ | 29956/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.101.gate_proj:  82%|████████▏ | 29957/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.101.up_proj:  82%|████████▏ | 29958/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.101.down_proj:  82%|████████▏ | 29959/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.102.gate_proj:  82%|████████▏ | 29960/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.102.up_proj:  82%|████████▏ | 29961/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.102.down_proj:  82%|████████▏ | 29962/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.103.gate_proj:  82%|████████▏ | 29963/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.103.up_proj:  82%|████████▏ | 29964/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.103.down_proj:  82%|████████▏ | 29965/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.104.gate_proj:  82%|████████▏ | 29966/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.104.up_proj:  82%|████████▏ | 29967/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.104.down_proj:  82%|████████▏ | 29968/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.105.gate_proj:  82%|████████▏ | 29969/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.105.up_proj:  82%|████████▏ | 29970/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.105.down_proj:  82%|████████▏ | 29971/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.106.gate_proj:  82%|████████▏ | 29972/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.106.up_proj:  82%|████████▏ | 29973/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.106.down_proj:  82%|████████▏ | 29974/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.107.gate_proj:  82%|████████▏ | 29975/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.107.up_proj:  82%|████████▏ | 29976/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.107.down_proj:  82%|████████▏ | 29977/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.108.gate_proj:  82%|████████▏ | 29978/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.108.up_proj:  82%|████████▏ | 29979/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.108.down_proj:  82%|████████▏ | 29980/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.109.gate_proj:  82%|████████▏ | 29981/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.109.up_proj:  82%|████████▏ | 29982/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.109.down_proj:  82%|████████▏ | 29983/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.110.gate_proj:  82%|████████▏ | 29984/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.110.up_proj:  82%|████████▏ | 29985/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.110.down_proj:  82%|████████▏ | 29986/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.111.gate_proj:  82%|████████▏ | 29987/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.111.up_proj:  82%|████████▏ | 29988/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.111.down_proj:  82%|████████▏ | 29989/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.112.gate_proj:  82%|████████▏ | 29990/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.112.up_proj:  82%|████████▏ | 29991/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.112.down_proj:  82%|████████▏ | 29992/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.113.gate_proj:  82%|████████▏ | 29993/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.113.up_proj:  82%|████████▏ | 29994/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.113.down_proj:  82%|████████▏ | 29995/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.114.gate_proj:  82%|████████▏ | 29996/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.114.up_proj:  82%|████████▏ | 29997/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.114.down_proj:  82%|████████▏ | 29998/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.115.gate_proj:  82%|████████▏ | 29999/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.115.up_proj:  82%|████████▏ | 30000/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.115.down_proj:  82%|████████▏ | 30001/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.116.gate_proj:  82%|████████▏ | 30002/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.116.up_proj:  82%|████████▏ | 30003/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.116.down_proj:  82%|████████▏ | 30004/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.117.gate_proj:  82%|████████▏ | 30005/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.117.up_proj:  82%|████████▏ | 30006/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.117.down_proj:  82%|████████▏ | 30007/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.118.gate_proj:  82%|████████▏ | 30008/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.118.up_proj:  82%|████████▏ | 30009/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.118.down_proj:  82%|████████▏ | 30010/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.119.gate_proj:  82%|████████▏ | 30011/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.119.up_proj:  82%|████████▏ | 30012/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.119.down_proj:  82%|████████▏ | 30013/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.120.gate_proj:  82%|████████▏ | 30014/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.120.up_proj:  82%|████████▏ | 30015/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.120.down_proj:  82%|████████▏ | 30016/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.121.gate_proj:  82%|████████▏ | 30017/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.121.up_proj:  82%|████████▏ | 30018/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.121.down_proj:  82%|████████▏ | 30019/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.122.gate_proj:  82%|████████▏ | 30020/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.122.up_proj:  82%|████████▏ | 30021/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.122.down_proj:  82%|████████▏ | 30022/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.123.gate_proj:  82%|████████▏ | 30023/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.123.up_proj:  82%|████████▏ | 30024/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.123.down_proj:  82%|████████▏ | 30025/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.124.gate_proj:  82%|████████▏ | 30026/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.124.up_proj:  82%|████████▏ | 30027/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.124.down_proj:  82%|████████▏ | 30028/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.125.gate_proj:  82%|████████▏ | 30029/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.125.up_proj:  82%|████████▏ | 30030/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.125.down_proj:  82%|████████▏ | 30031/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.126.gate_proj:  82%|████████▏ | 30032/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.126.up_proj:  82%|████████▏ | 30033/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.126.down_proj:  82%|████████▏ | 30034/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.127.gate_proj:  82%|████████▏ | 30035/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.76.mlp.experts.127.up_proj:  82%|████████▏ | 30036/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.76.mlp.experts.127.down_proj:  82%|████████▏ | 30037/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.0.gate_proj:  82%|████████▏ | 30038/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.77.mlp.experts.0.up_proj:  82%|████████▏ | 30039/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.77.mlp.experts.0.down_proj:  82%|████████▏ | 30040/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.1.gate_proj:  82%|████████▏ | 30041/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.1.up_proj:  82%|████████▏ | 30042/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.77.mlp.experts.1.down_proj:  82%|████████▏ | 30043/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.2.gate_proj:  82%|████████▏ | 30044/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.2.up_proj:  82%|████████▏ | 30045/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.77.mlp.experts.2.down_proj:  82%|████████▏ | 30046/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.3.gate_proj:  82%|████████▏ | 30047/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.3.up_proj:  82%|████████▏ | 30048/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.77.mlp.experts.3.down_proj:  82%|████████▏ | 30049/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.4.gate_proj:  82%|████████▏ | 30050/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.4.up_proj:  82%|████████▏ | 30051/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.77.mlp.experts.4.down_proj:  82%|████████▏ | 30052/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.5.gate_proj:  82%|████████▏ | 30053/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.5.up_proj:  82%|████████▏ | 30054/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.77.mlp.experts.5.down_proj:  82%|████████▏ | 30055/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.6.gate_proj:  82%|████████▏ | 30056/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.6.up_proj:  82%|████████▏ | 30057/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.77.mlp.experts.6.down_proj:  82%|████████▏ | 30058/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.7.gate_proj:  82%|████████▏ | 30059/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.7.up_proj:  82%|████████▏ | 30060/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.77.mlp.experts.7.down_proj:  82%|████████▏ | 30061/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.8.gate_proj:  82%|████████▏ | 30062/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.8.up_proj:  82%|████████▏ | 30063/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.77.mlp.experts.8.down_proj:  82%|████████▏ | 30064/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.9.gate_proj:  82%|████████▏ | 30065/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.9.up_proj:  82%|████████▏ | 30066/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.77.mlp.experts.9.down_proj:  82%|████████▏ | 30067/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.10.gate_proj:  82%|████████▏ | 30068/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.10.up_proj:  82%|████████▏ | 30069/36566 [00:26<00:05, 1174.28it/s]  
packing model.layers.77.mlp.experts.10.down_proj:  82%|████████▏ | 30070/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.11.gate_proj:  82%|████████▏ | 30071/36566 [00:26<00:05, 1174.28it/s]
packing model.layers.77.mlp.experts.11.gate_proj:  82%|████████▏ | 30072/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.11.up_proj:  82%|████████▏ | 30072/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.11.down_proj:  82%|████████▏ | 30073/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.12.gate_proj:  82%|████████▏ | 30074/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.12.up_proj:  82%|████████▏ | 30075/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.12.down_proj:  82%|████████▏ | 30076/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.13.gate_proj:  82%|████████▏ | 30077/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.13.up_proj:  82%|████████▏ | 30078/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.13.down_proj:  82%|████████▏ | 30079/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.14.gate_proj:  82%|████████▏ | 30080/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.14.up_proj:  82%|████████▏ | 30081/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.14.down_proj:  82%|████████▏ | 30082/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.15.gate_proj:  82%|████████▏ | 30083/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.15.up_proj:  82%|████████▏ | 30084/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.15.down_proj:  82%|████████▏ | 30085/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.16.gate_proj:  82%|████████▏ | 30086/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.16.up_proj:  82%|████████▏ | 30087/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.16.down_proj:  82%|████████▏ | 30088/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.17.gate_proj:  82%|████████▏ | 30089/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.17.up_proj:  82%|████████▏ | 30090/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.17.down_proj:  82%|████████▏ | 30091/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.18.gate_proj:  82%|████████▏ | 30092/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.18.up_proj:  82%|████████▏ | 30093/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.18.down_proj:  82%|████████▏ | 30094/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.19.gate_proj:  82%|████████▏ | 30095/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.19.up_proj:  82%|████████▏ | 30096/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.19.down_proj:  82%|████████▏ | 30097/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.20.gate_proj:  82%|████████▏ | 30098/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.20.up_proj:  82%|████████▏ | 30099/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.20.down_proj:  82%|████████▏ | 30100/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.21.gate_proj:  82%|████████▏ | 30101/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.21.up_proj:  82%|████████▏ | 30102/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.21.down_proj:  82%|████████▏ | 30103/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.22.gate_proj:  82%|████████▏ | 30104/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.22.up_proj:  82%|████████▏ | 30105/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.22.down_proj:  82%|████████▏ | 30106/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.23.gate_proj:  82%|████████▏ | 30107/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.23.up_proj:  82%|████████▏ | 30108/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.23.down_proj:  82%|████████▏ | 30109/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.24.gate_proj:  82%|████████▏ | 30110/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.24.up_proj:  82%|████████▏ | 30111/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.24.down_proj:  82%|████████▏ | 30112/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.25.gate_proj:  82%|████████▏ | 30113/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.25.up_proj:  82%|████████▏ | 30114/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.25.down_proj:  82%|████████▏ | 30115/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.26.gate_proj:  82%|████████▏ | 30116/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.26.up_proj:  82%|████████▏ | 30117/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.26.down_proj:  82%|████████▏ | 30118/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.27.gate_proj:  82%|████████▏ | 30119/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.27.up_proj:  82%|████████▏ | 30120/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.27.down_proj:  82%|████████▏ | 30121/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.28.gate_proj:  82%|████████▏ | 30122/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.28.up_proj:  82%|████████▏ | 30123/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.28.down_proj:  82%|████████▏ | 30124/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.29.gate_proj:  82%|████████▏ | 30125/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.29.up_proj:  82%|████████▏ | 30126/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.29.down_proj:  82%|████████▏ | 30127/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.30.gate_proj:  82%|████████▏ | 30128/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.30.up_proj:  82%|████████▏ | 30129/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.30.down_proj:  82%|████████▏ | 30130/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.31.gate_proj:  82%|████████▏ | 30131/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.31.up_proj:  82%|████████▏ | 30132/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.31.down_proj:  82%|████████▏ | 30133/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.32.gate_proj:  82%|████████▏ | 30134/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.32.up_proj:  82%|████████▏ | 30135/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.32.down_proj:  82%|████████▏ | 30136/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.33.gate_proj:  82%|████████▏ | 30137/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.33.up_proj:  82%|████████▏ | 30138/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.33.down_proj:  82%|████████▏ | 30139/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.34.gate_proj:  82%|████████▏ | 30140/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.34.up_proj:  82%|████████▏ | 30141/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.34.down_proj:  82%|████████▏ | 30142/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.35.gate_proj:  82%|████████▏ | 30143/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.35.up_proj:  82%|████████▏ | 30144/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.35.down_proj:  82%|████████▏ | 30145/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.36.gate_proj:  82%|████████▏ | 30146/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.36.up_proj:  82%|████████▏ | 30147/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.36.down_proj:  82%|████████▏ | 30148/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.37.gate_proj:  82%|████████▏ | 30149/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.37.up_proj:  82%|████████▏ | 30150/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.37.down_proj:  82%|████████▏ | 30151/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.38.gate_proj:  82%|████████▏ | 30152/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.38.up_proj:  82%|████████▏ | 30153/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.38.down_proj:  82%|████████▏ | 30154/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.39.gate_proj:  82%|████████▏ | 30155/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.39.up_proj:  82%|████████▏ | 30156/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.39.down_proj:  82%|████████▏ | 30157/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.40.gate_proj:  82%|████████▏ | 30158/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.40.up_proj:  82%|████████▏ | 30159/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.40.down_proj:  82%|████████▏ | 30160/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.41.gate_proj:  82%|████████▏ | 30161/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.41.up_proj:  82%|████████▏ | 30162/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.41.down_proj:  82%|████████▏ | 30163/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.42.gate_proj:  82%|████████▏ | 30164/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.42.up_proj:  82%|████████▏ | 30165/36566 [00:26<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.42.down_proj:  82%|████████▏ | 30166/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.43.gate_proj:  83%|████████▎ | 30167/36566 [00:26<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.43.up_proj:  83%|████████▎ | 30168/36566 [00:27<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.43.down_proj:  83%|████████▎ | 30169/36566 [00:27<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.44.gate_proj:  83%|████████▎ | 30170/36566 [00:27<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.44.up_proj:  83%|████████▎ | 30171/36566 [00:27<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.44.down_proj:  83%|████████▎ | 30172/36566 [00:27<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.45.gate_proj:  83%|████████▎ | 30173/36566 [00:27<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.45.up_proj:  83%|████████▎ | 30174/36566 [00:27<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.45.down_proj:  83%|████████▎ | 30175/36566 [00:27<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.46.gate_proj:  83%|████████▎ | 30176/36566 [00:27<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.46.up_proj:  83%|████████▎ | 30177/36566 [00:27<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.46.down_proj:  83%|████████▎ | 30178/36566 [00:27<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.47.gate_proj:  83%|████████▎ | 30179/36566 [00:27<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.47.up_proj:  83%|████████▎ | 30180/36566 [00:27<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.47.down_proj:  83%|████████▎ | 30181/36566 [00:27<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.48.gate_proj:  83%|████████▎ | 30182/36566 [00:27<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.48.up_proj:  83%|████████▎ | 30183/36566 [00:27<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.48.down_proj:  83%|████████▎ | 30184/36566 [00:27<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.49.gate_proj:  83%|████████▎ | 30185/36566 [00:27<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.49.up_proj:  83%|████████▎ | 30186/36566 [00:27<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.49.down_proj:  83%|████████▎ | 30187/36566 [00:27<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.50.gate_proj:  83%|████████▎ | 30188/36566 [00:27<00:05, 1175.19it/s]
packing model.layers.77.mlp.experts.50.up_proj:  83%|████████▎ | 30189/36566 [00:27<00:05, 1175.19it/s]  
packing model.layers.77.mlp.experts.50.up_proj:  83%|████████▎ | 30190/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.50.down_proj:  83%|████████▎ | 30190/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.51.gate_proj:  83%|████████▎ | 30191/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.51.up_proj:  83%|████████▎ | 30192/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.51.down_proj:  83%|████████▎ | 30193/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.52.gate_proj:  83%|████████▎ | 30194/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.52.up_proj:  83%|████████▎ | 30195/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.52.down_proj:  83%|████████▎ | 30196/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.53.gate_proj:  83%|████████▎ | 30197/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.53.up_proj:  83%|████████▎ | 30198/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.53.down_proj:  83%|████████▎ | 30199/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.54.gate_proj:  83%|████████▎ | 30200/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.54.up_proj:  83%|████████▎ | 30201/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.54.down_proj:  83%|████████▎ | 30202/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.55.gate_proj:  83%|████████▎ | 30203/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.55.up_proj:  83%|████████▎ | 30204/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.55.down_proj:  83%|████████▎ | 30205/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.56.gate_proj:  83%|████████▎ | 30206/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.56.up_proj:  83%|████████▎ | 30207/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.56.down_proj:  83%|████████▎ | 30208/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.57.gate_proj:  83%|████████▎ | 30209/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.57.up_proj:  83%|████████▎ | 30210/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.57.down_proj:  83%|████████▎ | 30211/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.58.gate_proj:  83%|████████▎ | 30212/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.58.up_proj:  83%|████████▎ | 30213/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.58.down_proj:  83%|████████▎ | 30214/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.59.gate_proj:  83%|████████▎ | 30215/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.59.up_proj:  83%|████████▎ | 30216/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.59.down_proj:  83%|████████▎ | 30217/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.60.gate_proj:  83%|████████▎ | 30218/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.60.up_proj:  83%|████████▎ | 30219/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.60.down_proj:  83%|████████▎ | 30220/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.61.gate_proj:  83%|████████▎ | 30221/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.61.up_proj:  83%|████████▎ | 30222/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.61.down_proj:  83%|████████▎ | 30223/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.62.gate_proj:  83%|████████▎ | 30224/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.62.up_proj:  83%|████████▎ | 30225/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.62.down_proj:  83%|████████▎ | 30226/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.63.gate_proj:  83%|████████▎ | 30227/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.63.up_proj:  83%|████████▎ | 30228/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.63.down_proj:  83%|████████▎ | 30229/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.64.gate_proj:  83%|████████▎ | 30230/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.64.up_proj:  83%|████████▎ | 30231/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.64.down_proj:  83%|████████▎ | 30232/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.65.gate_proj:  83%|████████▎ | 30233/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.65.up_proj:  83%|████████▎ | 30234/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.65.down_proj:  83%|████████▎ | 30235/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.66.gate_proj:  83%|████████▎ | 30236/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.66.up_proj:  83%|████████▎ | 30237/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.66.down_proj:  83%|████████▎ | 30238/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.67.gate_proj:  83%|████████▎ | 30239/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.67.up_proj:  83%|████████▎ | 30240/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.67.down_proj:  83%|████████▎ | 30241/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.68.gate_proj:  83%|████████▎ | 30242/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.68.up_proj:  83%|████████▎ | 30243/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.68.down_proj:  83%|████████▎ | 30244/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.69.gate_proj:  83%|████████▎ | 30245/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.69.up_proj:  83%|████████▎ | 30246/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.69.down_proj:  83%|████████▎ | 30247/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.70.gate_proj:  83%|████████▎ | 30248/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.70.up_proj:  83%|████████▎ | 30249/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.70.down_proj:  83%|████████▎ | 30250/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.71.gate_proj:  83%|████████▎ | 30251/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.71.up_proj:  83%|████████▎ | 30252/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.71.down_proj:  83%|████████▎ | 30253/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.72.gate_proj:  83%|████████▎ | 30254/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.72.up_proj:  83%|████████▎ | 30255/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.72.down_proj:  83%|████████▎ | 30256/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.73.gate_proj:  83%|████████▎ | 30257/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.73.up_proj:  83%|████████▎ | 30258/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.73.down_proj:  83%|████████▎ | 30259/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.74.gate_proj:  83%|████████▎ | 30260/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.74.up_proj:  83%|████████▎ | 30261/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.74.down_proj:  83%|████████▎ | 30262/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.75.gate_proj:  83%|████████▎ | 30263/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.75.up_proj:  83%|████████▎ | 30264/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.75.down_proj:  83%|████████▎ | 30265/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.76.gate_proj:  83%|████████▎ | 30266/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.76.up_proj:  83%|████████▎ | 30267/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.76.down_proj:  83%|████████▎ | 30268/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.77.gate_proj:  83%|████████▎ | 30269/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.77.up_proj:  83%|████████▎ | 30270/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.77.down_proj:  83%|████████▎ | 30271/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.78.gate_proj:  83%|████████▎ | 30272/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.78.up_proj:  83%|████████▎ | 30273/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.78.down_proj:  83%|████████▎ | 30274/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.79.gate_proj:  83%|████████▎ | 30275/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.79.up_proj:  83%|████████▎ | 30276/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.79.down_proj:  83%|████████▎ | 30277/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.80.gate_proj:  83%|████████▎ | 30278/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.80.up_proj:  83%|████████▎ | 30279/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.80.down_proj:  83%|████████▎ | 30280/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.81.gate_proj:  83%|████████▎ | 30281/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.81.up_proj:  83%|████████▎ | 30282/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.81.down_proj:  83%|████████▎ | 30283/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.82.gate_proj:  83%|████████▎ | 30284/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.82.up_proj:  83%|████████▎ | 30285/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.82.down_proj:  83%|████████▎ | 30286/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.83.gate_proj:  83%|████████▎ | 30287/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.83.up_proj:  83%|████████▎ | 30288/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.83.down_proj:  83%|████████▎ | 30289/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.84.gate_proj:  83%|████████▎ | 30290/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.84.up_proj:  83%|████████▎ | 30291/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.84.down_proj:  83%|████████▎ | 30292/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.85.gate_proj:  83%|████████▎ | 30293/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.85.up_proj:  83%|████████▎ | 30294/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.85.down_proj:  83%|████████▎ | 30295/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.86.gate_proj:  83%|████████▎ | 30296/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.86.up_proj:  83%|████████▎ | 30297/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.86.down_proj:  83%|████████▎ | 30298/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.87.gate_proj:  83%|████████▎ | 30299/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.87.up_proj:  83%|████████▎ | 30300/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.87.down_proj:  83%|████████▎ | 30301/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.88.gate_proj:  83%|████████▎ | 30302/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.88.up_proj:  83%|████████▎ | 30303/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.88.down_proj:  83%|████████▎ | 30304/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.89.gate_proj:  83%|████████▎ | 30305/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.89.up_proj:  83%|████████▎ | 30306/36566 [00:27<00:05, 1175.46it/s]  
packing model.layers.77.mlp.experts.89.down_proj:  83%|████████▎ | 30307/36566 [00:27<00:05, 1175.46it/s]
packing model.layers.77.mlp.experts.89.down_proj:  83%|████████▎ | 30308/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.90.gate_proj:  83%|████████▎ | 30308/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.90.up_proj:  83%|████████▎ | 30309/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.90.down_proj:  83%|████████▎ | 30310/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.91.gate_proj:  83%|████████▎ | 30311/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.91.up_proj:  83%|████████▎ | 30312/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.91.down_proj:  83%|████████▎ | 30313/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.92.gate_proj:  83%|████████▎ | 30314/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.92.up_proj:  83%|████████▎ | 30315/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.92.down_proj:  83%|████████▎ | 30316/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.93.gate_proj:  83%|████████▎ | 30317/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.93.up_proj:  83%|████████▎ | 30318/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.93.down_proj:  83%|████████▎ | 30319/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.94.gate_proj:  83%|████████▎ | 30320/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.94.up_proj:  83%|████████▎ | 30321/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.94.down_proj:  83%|████████▎ | 30322/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.95.gate_proj:  83%|████████▎ | 30323/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.95.up_proj:  83%|████████▎ | 30324/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.95.down_proj:  83%|████████▎ | 30325/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.96.gate_proj:  83%|████████▎ | 30326/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.96.up_proj:  83%|████████▎ | 30327/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.96.down_proj:  83%|████████▎ | 30328/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.97.gate_proj:  83%|████████▎ | 30329/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.97.up_proj:  83%|████████▎ | 30330/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.97.down_proj:  83%|████████▎ | 30331/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.98.gate_proj:  83%|████████▎ | 30332/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.98.up_proj:  83%|████████▎ | 30333/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.98.down_proj:  83%|████████▎ | 30334/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.99.gate_proj:  83%|████████▎ | 30335/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.99.up_proj:  83%|████████▎ | 30336/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.99.down_proj:  83%|████████▎ | 30337/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.100.gate_proj:  83%|████████▎ | 30338/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.100.up_proj:  83%|████████▎ | 30339/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.100.down_proj:  83%|████████▎ | 30340/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.101.gate_proj:  83%|████████▎ | 30341/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.101.up_proj:  83%|████████▎ | 30342/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.101.down_proj:  83%|████████▎ | 30343/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.102.gate_proj:  83%|████████▎ | 30344/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.102.up_proj:  83%|████████▎ | 30345/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.102.down_proj:  83%|████████▎ | 30346/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.103.gate_proj:  83%|████████▎ | 30347/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.103.up_proj:  83%|████████▎ | 30348/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.103.down_proj:  83%|████████▎ | 30349/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.104.gate_proj:  83%|████████▎ | 30350/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.104.up_proj:  83%|████████▎ | 30351/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.104.down_proj:  83%|████████▎ | 30352/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.105.gate_proj:  83%|████████▎ | 30353/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.105.up_proj:  83%|████████▎ | 30354/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.105.down_proj:  83%|████████▎ | 30355/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.106.gate_proj:  83%|████████▎ | 30356/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.106.up_proj:  83%|████████▎ | 30357/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.106.down_proj:  83%|████████▎ | 30358/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.107.gate_proj:  83%|████████▎ | 30359/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.107.up_proj:  83%|████████▎ | 30360/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.107.down_proj:  83%|████████▎ | 30361/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.108.gate_proj:  83%|████████▎ | 30362/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.108.up_proj:  83%|████████▎ | 30363/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.108.down_proj:  83%|████████▎ | 30364/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.109.gate_proj:  83%|████████▎ | 30365/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.109.up_proj:  83%|████████▎ | 30366/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.109.down_proj:  83%|████████▎ | 30367/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.110.gate_proj:  83%|████████▎ | 30368/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.110.up_proj:  83%|████████▎ | 30369/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.110.down_proj:  83%|████████▎ | 30370/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.111.gate_proj:  83%|████████▎ | 30371/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.111.up_proj:  83%|████████▎ | 30372/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.111.down_proj:  83%|████████▎ | 30373/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.112.gate_proj:  83%|████████▎ | 30374/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.112.up_proj:  83%|████████▎ | 30375/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.112.down_proj:  83%|████████▎ | 30376/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.113.gate_proj:  83%|████████▎ | 30377/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.113.up_proj:  83%|████████▎ | 30378/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.113.down_proj:  83%|████████▎ | 30379/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.114.gate_proj:  83%|████████▎ | 30380/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.114.up_proj:  83%|████████▎ | 30381/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.114.down_proj:  83%|████████▎ | 30382/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.115.gate_proj:  83%|████████▎ | 30383/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.115.up_proj:  83%|████████▎ | 30384/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.115.down_proj:  83%|████████▎ | 30385/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.116.gate_proj:  83%|████████▎ | 30386/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.116.up_proj:  83%|████████▎ | 30387/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.116.down_proj:  83%|████████▎ | 30388/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.117.gate_proj:  83%|████████▎ | 30389/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.117.up_proj:  83%|████████▎ | 30390/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.117.down_proj:  83%|████████▎ | 30391/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.118.gate_proj:  83%|████████▎ | 30392/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.118.up_proj:  83%|████████▎ | 30393/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.118.down_proj:  83%|████████▎ | 30394/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.119.gate_proj:  83%|████████▎ | 30395/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.119.up_proj:  83%|████████▎ | 30396/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.119.down_proj:  83%|████████▎ | 30397/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.120.gate_proj:  83%|████████▎ | 30398/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.120.up_proj:  83%|████████▎ | 30399/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.120.down_proj:  83%|████████▎ | 30400/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.121.gate_proj:  83%|████████▎ | 30401/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.121.up_proj:  83%|████████▎ | 30402/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.121.down_proj:  83%|████████▎ | 30403/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.122.gate_proj:  83%|████████▎ | 30404/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.122.up_proj:  83%|████████▎ | 30405/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.122.down_proj:  83%|████████▎ | 30406/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.123.gate_proj:  83%|████████▎ | 30407/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.123.up_proj:  83%|████████▎ | 30408/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.123.down_proj:  83%|████████▎ | 30409/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.124.gate_proj:  83%|████████▎ | 30410/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.124.up_proj:  83%|████████▎ | 30411/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.124.down_proj:  83%|████████▎ | 30412/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.125.gate_proj:  83%|████████▎ | 30413/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.125.up_proj:  83%|████████▎ | 30414/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.125.down_proj:  83%|████████▎ | 30415/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.126.gate_proj:  83%|████████▎ | 30416/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.126.up_proj:  83%|████████▎ | 30417/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.126.down_proj:  83%|████████▎ | 30418/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.127.gate_proj:  83%|████████▎ | 30419/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.77.mlp.experts.127.up_proj:  83%|████████▎ | 30420/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.77.mlp.experts.127.down_proj:  83%|████████▎ | 30421/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.78.mlp.experts.0.gate_proj:  83%|████████▎ | 30422/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.78.mlp.experts.0.up_proj:  83%|████████▎ | 30423/36566 [00:27<00:05, 1176.66it/s]  
packing model.layers.78.mlp.experts.0.down_proj:  83%|████████▎ | 30424/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.78.mlp.experts.1.gate_proj:  83%|████████▎ | 30425/36566 [00:27<00:05, 1176.66it/s]
packing model.layers.78.mlp.experts.1.gate_proj:  83%|████████▎ | 30426/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.1.up_proj:  83%|████████▎ | 30426/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.1.down_proj:  83%|████████▎ | 30427/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.2.gate_proj:  83%|████████▎ | 30428/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.2.up_proj:  83%|████████▎ | 30429/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.2.down_proj:  83%|████████▎ | 30430/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.3.gate_proj:  83%|████████▎ | 30431/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.3.up_proj:  83%|████████▎ | 30432/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.3.down_proj:  83%|████████▎ | 30433/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.4.gate_proj:  83%|████████▎ | 30434/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.4.up_proj:  83%|████████▎ | 30435/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.4.down_proj:  83%|████████▎ | 30436/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.5.gate_proj:  83%|████████▎ | 30437/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.5.up_proj:  83%|████████▎ | 30438/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.5.down_proj:  83%|████████▎ | 30439/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.6.gate_proj:  83%|████████▎ | 30440/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.6.up_proj:  83%|████████▎ | 30441/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.6.down_proj:  83%|████████▎ | 30442/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.7.gate_proj:  83%|████████▎ | 30443/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.7.up_proj:  83%|████████▎ | 30444/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.7.down_proj:  83%|████████▎ | 30445/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.8.gate_proj:  83%|████████▎ | 30446/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.8.up_proj:  83%|████████▎ | 30447/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.8.down_proj:  83%|████████▎ | 30448/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.9.gate_proj:  83%|████████▎ | 30449/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.9.up_proj:  83%|████████▎ | 30450/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.9.down_proj:  83%|████████▎ | 30451/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.10.gate_proj:  83%|████████▎ | 30452/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.10.up_proj:  83%|████████▎ | 30453/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.10.down_proj:  83%|████████▎ | 30454/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.11.gate_proj:  83%|████████▎ | 30455/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.11.up_proj:  83%|████████▎ | 30456/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.11.down_proj:  83%|████████▎ | 30457/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.12.gate_proj:  83%|████████▎ | 30458/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.12.up_proj:  83%|████████▎ | 30459/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.12.down_proj:  83%|████████▎ | 30460/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.13.gate_proj:  83%|████████▎ | 30461/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.13.up_proj:  83%|████████▎ | 30462/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.13.down_proj:  83%|████████▎ | 30463/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.14.gate_proj:  83%|████████▎ | 30464/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.14.up_proj:  83%|████████▎ | 30465/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.14.down_proj:  83%|████████▎ | 30466/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.15.gate_proj:  83%|████████▎ | 30467/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.15.up_proj:  83%|████████▎ | 30468/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.15.down_proj:  83%|████████▎ | 30469/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.16.gate_proj:  83%|████████▎ | 30470/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.16.up_proj:  83%|████████▎ | 30471/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.16.down_proj:  83%|████████▎ | 30472/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.17.gate_proj:  83%|████████▎ | 30473/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.17.up_proj:  83%|████████▎ | 30474/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.17.down_proj:  83%|████████▎ | 30475/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.18.gate_proj:  83%|████████▎ | 30476/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.18.up_proj:  83%|████████▎ | 30477/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.18.down_proj:  83%|████████▎ | 30478/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.19.gate_proj:  83%|████████▎ | 30479/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.19.up_proj:  83%|████████▎ | 30480/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.19.down_proj:  83%|████████▎ | 30481/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.20.gate_proj:  83%|████████▎ | 30482/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.20.up_proj:  83%|████████▎ | 30483/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.20.down_proj:  83%|████████▎ | 30484/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.21.gate_proj:  83%|████████▎ | 30485/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.21.up_proj:  83%|████████▎ | 30486/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.21.down_proj:  83%|████████▎ | 30487/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.22.gate_proj:  83%|████████▎ | 30488/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.22.up_proj:  83%|████████▎ | 30489/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.22.down_proj:  83%|████████▎ | 30490/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.23.gate_proj:  83%|████████▎ | 30491/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.23.up_proj:  83%|████████▎ | 30492/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.23.down_proj:  83%|████████▎ | 30493/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.24.gate_proj:  83%|████████▎ | 30494/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.24.up_proj:  83%|████████▎ | 30495/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.24.down_proj:  83%|████████▎ | 30496/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.25.gate_proj:  83%|████████▎ | 30497/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.25.up_proj:  83%|████████▎ | 30498/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.25.down_proj:  83%|████████▎ | 30499/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.26.gate_proj:  83%|████████▎ | 30500/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.26.up_proj:  83%|████████▎ | 30501/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.26.down_proj:  83%|████████▎ | 30502/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.27.gate_proj:  83%|████████▎ | 30503/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.27.up_proj:  83%|████████▎ | 30504/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.27.down_proj:  83%|████████▎ | 30505/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.28.gate_proj:  83%|████████▎ | 30506/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.28.up_proj:  83%|████████▎ | 30507/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.28.down_proj:  83%|████████▎ | 30508/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.29.gate_proj:  83%|████████▎ | 30509/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.29.up_proj:  83%|████████▎ | 30510/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.29.down_proj:  83%|████████▎ | 30511/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.30.gate_proj:  83%|████████▎ | 30512/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.30.up_proj:  83%|████████▎ | 30513/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.30.down_proj:  83%|████████▎ | 30514/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.31.gate_proj:  83%|████████▎ | 30515/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.31.up_proj:  83%|████████▎ | 30516/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.31.down_proj:  83%|████████▎ | 30517/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.32.gate_proj:  83%|████████▎ | 30518/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.32.up_proj:  83%|████████▎ | 30519/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.32.down_proj:  83%|████████▎ | 30520/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.33.gate_proj:  83%|████████▎ | 30521/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.33.up_proj:  83%|████████▎ | 30522/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.33.down_proj:  83%|████████▎ | 30523/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.34.gate_proj:  83%|████████▎ | 30524/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.34.up_proj:  83%|████████▎ | 30525/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.34.down_proj:  83%|████████▎ | 30526/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.35.gate_proj:  83%|████████▎ | 30527/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.35.up_proj:  83%|████████▎ | 30528/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.35.down_proj:  83%|████████▎ | 30529/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.36.gate_proj:  83%|████████▎ | 30530/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.36.up_proj:  83%|████████▎ | 30531/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.36.down_proj:  83%|████████▎ | 30532/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.37.gate_proj:  84%|████████▎ | 30533/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.37.up_proj:  84%|████████▎ | 30534/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.37.down_proj:  84%|████████▎ | 30535/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.38.gate_proj:  84%|████████▎ | 30536/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.38.up_proj:  84%|████████▎ | 30537/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.38.down_proj:  84%|████████▎ | 30538/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.39.gate_proj:  84%|████████▎ | 30539/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.39.up_proj:  84%|████████▎ | 30540/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.39.down_proj:  84%|████████▎ | 30541/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.40.gate_proj:  84%|████████▎ | 30542/36566 [00:27<00:05, 1169.62it/s]
packing model.layers.78.mlp.experts.40.up_proj:  84%|████████▎ | 30543/36566 [00:27<00:05, 1169.62it/s]  
packing model.layers.78.mlp.experts.40.up_proj:  84%|████████▎ | 30544/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.40.down_proj:  84%|████████▎ | 30544/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.41.gate_proj:  84%|████████▎ | 30545/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.41.up_proj:  84%|████████▎ | 30546/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.41.down_proj:  84%|████████▎ | 30547/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.42.gate_proj:  84%|████████▎ | 30548/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.42.up_proj:  84%|████████▎ | 30549/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.42.down_proj:  84%|████████▎ | 30550/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.43.gate_proj:  84%|████████▎ | 30551/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.43.up_proj:  84%|████████▎ | 30552/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.43.down_proj:  84%|████████▎ | 30553/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.44.gate_proj:  84%|████████▎ | 30554/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.44.up_proj:  84%|████████▎ | 30555/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.44.down_proj:  84%|████████▎ | 30556/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.45.gate_proj:  84%|████████▎ | 30557/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.45.up_proj:  84%|████████▎ | 30558/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.45.down_proj:  84%|████████▎ | 30559/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.46.gate_proj:  84%|████████▎ | 30560/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.46.up_proj:  84%|████████▎ | 30561/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.46.down_proj:  84%|████████▎ | 30562/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.47.gate_proj:  84%|████████▎ | 30563/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.47.up_proj:  84%|████████▎ | 30564/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.47.down_proj:  84%|████████▎ | 30565/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.48.gate_proj:  84%|████████▎ | 30566/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.48.up_proj:  84%|████████▎ | 30567/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.48.down_proj:  84%|████████▎ | 30568/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.49.gate_proj:  84%|████████▎ | 30569/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.49.up_proj:  84%|████████▎ | 30570/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.49.down_proj:  84%|████████▎ | 30571/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.50.gate_proj:  84%|████████▎ | 30572/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.50.up_proj:  84%|████████▎ | 30573/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.50.down_proj:  84%|████████▎ | 30574/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.51.gate_proj:  84%|████████▎ | 30575/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.51.up_proj:  84%|████████▎ | 30576/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.51.down_proj:  84%|████████▎ | 30577/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.52.gate_proj:  84%|████████▎ | 30578/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.52.up_proj:  84%|████████▎ | 30579/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.52.down_proj:  84%|████████▎ | 30580/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.53.gate_proj:  84%|████████▎ | 30581/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.53.up_proj:  84%|████████▎ | 30582/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.53.down_proj:  84%|████████▎ | 30583/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.54.gate_proj:  84%|████████▎ | 30584/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.54.up_proj:  84%|████████▎ | 30585/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.54.down_proj:  84%|████████▎ | 30586/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.55.gate_proj:  84%|████████▎ | 30587/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.55.up_proj:  84%|████████▎ | 30588/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.55.down_proj:  84%|████████▎ | 30589/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.56.gate_proj:  84%|████████▎ | 30590/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.56.up_proj:  84%|████████▎ | 30591/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.56.down_proj:  84%|████████▎ | 30592/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.57.gate_proj:  84%|████████▎ | 30593/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.57.up_proj:  84%|████████▎ | 30594/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.57.down_proj:  84%|████████▎ | 30595/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.58.gate_proj:  84%|████████▎ | 30596/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.58.up_proj:  84%|████████▎ | 30597/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.58.down_proj:  84%|████████▎ | 30598/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.59.gate_proj:  84%|████████▎ | 30599/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.59.up_proj:  84%|████████▎ | 30600/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.59.down_proj:  84%|████████▎ | 30601/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.60.gate_proj:  84%|████████▎ | 30602/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.60.up_proj:  84%|████████▎ | 30603/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.60.down_proj:  84%|████████▎ | 30604/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.61.gate_proj:  84%|████████▎ | 30605/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.61.up_proj:  84%|████████▎ | 30606/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.61.down_proj:  84%|████████▎ | 30607/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.62.gate_proj:  84%|████████▎ | 30608/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.62.up_proj:  84%|████████▎ | 30609/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.62.down_proj:  84%|████████▎ | 30610/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.63.gate_proj:  84%|████████▎ | 30611/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.63.up_proj:  84%|████████▎ | 30612/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.63.down_proj:  84%|████████▎ | 30613/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.64.gate_proj:  84%|████████▎ | 30614/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.64.up_proj:  84%|████████▎ | 30615/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.64.down_proj:  84%|████████▎ | 30616/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.65.gate_proj:  84%|████████▎ | 30617/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.65.up_proj:  84%|████████▎ | 30618/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.65.down_proj:  84%|████████▎ | 30619/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.66.gate_proj:  84%|████████▎ | 30620/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.66.up_proj:  84%|████████▎ | 30621/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.66.down_proj:  84%|████████▎ | 30622/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.67.gate_proj:  84%|████████▎ | 30623/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.67.up_proj:  84%|████████▎ | 30624/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.67.down_proj:  84%|████████▍ | 30625/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.68.gate_proj:  84%|████████▍ | 30626/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.68.up_proj:  84%|████████▍ | 30627/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.68.down_proj:  84%|████████▍ | 30628/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.69.gate_proj:  84%|████████▍ | 30629/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.69.up_proj:  84%|████████▍ | 30630/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.69.down_proj:  84%|████████▍ | 30631/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.70.gate_proj:  84%|████████▍ | 30632/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.70.up_proj:  84%|████████▍ | 30633/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.70.down_proj:  84%|████████▍ | 30634/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.71.gate_proj:  84%|████████▍ | 30635/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.71.up_proj:  84%|████████▍ | 30636/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.71.down_proj:  84%|████████▍ | 30637/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.72.gate_proj:  84%|████████▍ | 30638/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.72.up_proj:  84%|████████▍ | 30639/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.72.down_proj:  84%|████████▍ | 30640/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.73.gate_proj:  84%|████████▍ | 30641/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.73.up_proj:  84%|████████▍ | 30642/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.73.down_proj:  84%|████████▍ | 30643/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.74.gate_proj:  84%|████████▍ | 30644/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.74.up_proj:  84%|████████▍ | 30645/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.74.down_proj:  84%|████████▍ | 30646/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.75.gate_proj:  84%|████████▍ | 30647/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.75.up_proj:  84%|████████▍ | 30648/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.75.down_proj:  84%|████████▍ | 30649/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.76.gate_proj:  84%|████████▍ | 30650/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.76.up_proj:  84%|████████▍ | 30651/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.76.down_proj:  84%|████████▍ | 30652/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.77.gate_proj:  84%|████████▍ | 30653/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.77.up_proj:  84%|████████▍ | 30654/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.77.down_proj:  84%|████████▍ | 30655/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.78.gate_proj:  84%|████████▍ | 30656/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.78.up_proj:  84%|████████▍ | 30657/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.78.down_proj:  84%|████████▍ | 30658/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.79.gate_proj:  84%|████████▍ | 30659/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.79.up_proj:  84%|████████▍ | 30660/36566 [00:27<00:05, 1169.97it/s]  
packing model.layers.78.mlp.experts.79.down_proj:  84%|████████▍ | 30661/36566 [00:27<00:05, 1169.97it/s]
packing model.layers.78.mlp.experts.79.down_proj:  84%|████████▍ | 30662/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.80.gate_proj:  84%|████████▍ | 30662/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.80.up_proj:  84%|████████▍ | 30663/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.80.down_proj:  84%|████████▍ | 30664/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.81.gate_proj:  84%|████████▍ | 30665/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.81.up_proj:  84%|████████▍ | 30666/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.81.down_proj:  84%|████████▍ | 30667/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.82.gate_proj:  84%|████████▍ | 30668/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.82.up_proj:  84%|████████▍ | 30669/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.82.down_proj:  84%|████████▍ | 30670/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.83.gate_proj:  84%|████████▍ | 30671/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.83.up_proj:  84%|████████▍ | 30672/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.83.down_proj:  84%|████████▍ | 30673/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.84.gate_proj:  84%|████████▍ | 30674/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.84.up_proj:  84%|████████▍ | 30675/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.84.down_proj:  84%|████████▍ | 30676/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.85.gate_proj:  84%|████████▍ | 30677/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.85.up_proj:  84%|████████▍ | 30678/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.85.down_proj:  84%|████████▍ | 30679/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.86.gate_proj:  84%|████████▍ | 30680/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.86.up_proj:  84%|████████▍ | 30681/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.86.down_proj:  84%|████████▍ | 30682/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.87.gate_proj:  84%|████████▍ | 30683/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.87.up_proj:  84%|████████▍ | 30684/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.87.down_proj:  84%|████████▍ | 30685/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.88.gate_proj:  84%|████████▍ | 30686/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.88.up_proj:  84%|████████▍ | 30687/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.88.down_proj:  84%|████████▍ | 30688/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.89.gate_proj:  84%|████████▍ | 30689/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.89.up_proj:  84%|████████▍ | 30690/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.89.down_proj:  84%|████████▍ | 30691/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.90.gate_proj:  84%|████████▍ | 30692/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.90.up_proj:  84%|████████▍ | 30693/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.90.down_proj:  84%|████████▍ | 30694/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.91.gate_proj:  84%|████████▍ | 30695/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.91.up_proj:  84%|████████▍ | 30696/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.91.down_proj:  84%|████████▍ | 30697/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.92.gate_proj:  84%|████████▍ | 30698/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.92.up_proj:  84%|████████▍ | 30699/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.92.down_proj:  84%|████████▍ | 30700/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.93.gate_proj:  84%|████████▍ | 30701/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.93.up_proj:  84%|████████▍ | 30702/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.93.down_proj:  84%|████████▍ | 30703/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.94.gate_proj:  84%|████████▍ | 30704/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.94.up_proj:  84%|████████▍ | 30705/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.94.down_proj:  84%|████████▍ | 30706/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.95.gate_proj:  84%|████████▍ | 30707/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.95.up_proj:  84%|████████▍ | 30708/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.95.down_proj:  84%|████████▍ | 30709/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.96.gate_proj:  84%|████████▍ | 30710/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.96.up_proj:  84%|████████▍ | 30711/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.96.down_proj:  84%|████████▍ | 30712/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.97.gate_proj:  84%|████████▍ | 30713/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.97.up_proj:  84%|████████▍ | 30714/36566 [00:27<00:05, 1170.05it/s]  
packing model.layers.78.mlp.experts.97.down_proj:  84%|████████▍ | 30715/36566 [00:27<00:05, 1170.05it/s]
packing model.layers.78.mlp.experts.98.gate_proj:  84%|████████▍ | 30716/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.98.up_proj:  84%|████████▍ | 30717/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.98.down_proj:  84%|████████▍ | 30718/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.99.gate_proj:  84%|████████▍ | 30719/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.99.up_proj:  84%|████████▍ | 30720/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.99.down_proj:  84%|████████▍ | 30721/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.100.gate_proj:  84%|████████▍ | 30722/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.100.up_proj:  84%|████████▍ | 30723/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.100.down_proj:  84%|████████▍ | 30724/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.101.gate_proj:  84%|████████▍ | 30725/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.101.up_proj:  84%|████████▍ | 30726/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.101.down_proj:  84%|████████▍ | 30727/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.102.gate_proj:  84%|████████▍ | 30728/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.102.up_proj:  84%|████████▍ | 30729/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.102.down_proj:  84%|████████▍ | 30730/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.103.gate_proj:  84%|████████▍ | 30731/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.103.up_proj:  84%|████████▍ | 30732/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.103.down_proj:  84%|████████▍ | 30733/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.104.gate_proj:  84%|████████▍ | 30734/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.104.up_proj:  84%|████████▍ | 30735/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.104.down_proj:  84%|████████▍ | 30736/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.105.gate_proj:  84%|████████▍ | 30737/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.105.up_proj:  84%|████████▍ | 30738/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.105.down_proj:  84%|████████▍ | 30739/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.106.gate_proj:  84%|████████▍ | 30740/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.106.up_proj:  84%|████████▍ | 30741/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.106.down_proj:  84%|████████▍ | 30742/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.107.gate_proj:  84%|████████▍ | 30743/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.107.up_proj:  84%|████████▍ | 30744/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.107.down_proj:  84%|████████▍ | 30745/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.108.gate_proj:  84%|████████▍ | 30746/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.108.up_proj:  84%|████████▍ | 30747/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.108.down_proj:  84%|████████▍ | 30748/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.109.gate_proj:  84%|████████▍ | 30749/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.109.up_proj:  84%|████████▍ | 30750/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.109.down_proj:  84%|████████▍ | 30751/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.110.gate_proj:  84%|████████▍ | 30752/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.110.up_proj:  84%|████████▍ | 30753/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.110.down_proj:  84%|████████▍ | 30754/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.111.gate_proj:  84%|████████▍ | 30755/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.111.up_proj:  84%|████████▍ | 30756/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.111.down_proj:  84%|████████▍ | 30757/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.112.gate_proj:  84%|████████▍ | 30758/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.112.up_proj:  84%|████████▍ | 30759/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.112.down_proj:  84%|████████▍ | 30760/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.113.gate_proj:  84%|████████▍ | 30761/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.113.up_proj:  84%|████████▍ | 30762/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.113.down_proj:  84%|████████▍ | 30763/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.114.gate_proj:  84%|████████▍ | 30764/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.114.up_proj:  84%|████████▍ | 30765/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.114.down_proj:  84%|████████▍ | 30766/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.115.gate_proj:  84%|████████▍ | 30767/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.115.up_proj:  84%|████████▍ | 30768/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.115.down_proj:  84%|████████▍ | 30769/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.116.gate_proj:  84%|████████▍ | 30770/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.116.up_proj:  84%|████████▍ | 30771/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.116.down_proj:  84%|████████▍ | 30772/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.117.gate_proj:  84%|████████▍ | 30773/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.117.up_proj:  84%|████████▍ | 30774/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.117.down_proj:  84%|████████▍ | 30775/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.118.gate_proj:  84%|████████▍ | 30776/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.118.up_proj:  84%|████████▍ | 30777/36566 [00:27<00:04, 1170.05it/s]  
packing model.layers.78.mlp.experts.118.down_proj:  84%|████████▍ | 30778/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.119.gate_proj:  84%|████████▍ | 30779/36566 [00:27<00:04, 1170.05it/s]
packing model.layers.78.mlp.experts.119.gate_proj:  84%|████████▍ | 30780/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.119.up_proj:  84%|████████▍ | 30780/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.78.mlp.experts.119.down_proj:  84%|████████▍ | 30781/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.120.gate_proj:  84%|████████▍ | 30782/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.120.up_proj:  84%|████████▍ | 30783/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.78.mlp.experts.120.down_proj:  84%|████████▍ | 30784/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.121.gate_proj:  84%|████████▍ | 30785/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.121.up_proj:  84%|████████▍ | 30786/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.78.mlp.experts.121.down_proj:  84%|████████▍ | 30787/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.122.gate_proj:  84%|████████▍ | 30788/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.122.up_proj:  84%|████████▍ | 30789/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.78.mlp.experts.122.down_proj:  84%|████████▍ | 30790/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.123.gate_proj:  84%|████████▍ | 30791/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.123.up_proj:  84%|████████▍ | 30792/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.78.mlp.experts.123.down_proj:  84%|████████▍ | 30793/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.124.gate_proj:  84%|████████▍ | 30794/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.124.up_proj:  84%|████████▍ | 30795/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.78.mlp.experts.124.down_proj:  84%|████████▍ | 30796/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.125.gate_proj:  84%|████████▍ | 30797/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.125.up_proj:  84%|████████▍ | 30798/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.78.mlp.experts.125.down_proj:  84%|████████▍ | 30799/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.126.gate_proj:  84%|████████▍ | 30800/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.126.up_proj:  84%|████████▍ | 30801/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.78.mlp.experts.126.down_proj:  84%|████████▍ | 30802/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.127.gate_proj:  84%|████████▍ | 30803/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.78.mlp.experts.127.up_proj:  84%|████████▍ | 30804/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.78.mlp.experts.127.down_proj:  84%|████████▍ | 30805/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.0.gate_proj:  84%|████████▍ | 30806/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.0.up_proj:  84%|████████▍ | 30807/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.0.down_proj:  84%|████████▍ | 30808/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.1.gate_proj:  84%|████████▍ | 30809/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.1.up_proj:  84%|████████▍ | 30810/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.1.down_proj:  84%|████████▍ | 30811/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.2.gate_proj:  84%|████████▍ | 30812/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.2.up_proj:  84%|████████▍ | 30813/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.2.down_proj:  84%|████████▍ | 30814/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.3.gate_proj:  84%|████████▍ | 30815/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.3.up_proj:  84%|████████▍ | 30816/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.3.down_proj:  84%|████████▍ | 30817/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.4.gate_proj:  84%|████████▍ | 30818/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.4.up_proj:  84%|████████▍ | 30819/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.4.down_proj:  84%|████████▍ | 30820/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.5.gate_proj:  84%|████████▍ | 30821/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.5.up_proj:  84%|████████▍ | 30822/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.5.down_proj:  84%|████████▍ | 30823/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.6.gate_proj:  84%|████████▍ | 30824/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.6.up_proj:  84%|████████▍ | 30825/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.6.down_proj:  84%|████████▍ | 30826/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.7.gate_proj:  84%|████████▍ | 30827/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.7.up_proj:  84%|████████▍ | 30828/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.7.down_proj:  84%|████████▍ | 30829/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.8.gate_proj:  84%|████████▍ | 30830/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.8.up_proj:  84%|████████▍ | 30831/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.8.down_proj:  84%|████████▍ | 30832/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.9.gate_proj:  84%|████████▍ | 30833/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.9.up_proj:  84%|████████▍ | 30834/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.9.down_proj:  84%|████████▍ | 30835/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.10.gate_proj:  84%|████████▍ | 30836/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.10.up_proj:  84%|████████▍ | 30837/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.10.down_proj:  84%|████████▍ | 30838/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.11.gate_proj:  84%|████████▍ | 30839/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.11.up_proj:  84%|████████▍ | 30840/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.11.down_proj:  84%|████████▍ | 30841/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.12.gate_proj:  84%|████████▍ | 30842/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.12.up_proj:  84%|████████▍ | 30843/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.12.down_proj:  84%|████████▍ | 30844/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.13.gate_proj:  84%|████████▍ | 30845/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.13.up_proj:  84%|████████▍ | 30846/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.13.down_proj:  84%|████████▍ | 30847/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.14.gate_proj:  84%|████████▍ | 30848/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.14.up_proj:  84%|████████▍ | 30849/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.14.down_proj:  84%|████████▍ | 30850/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.15.gate_proj:  84%|████████▍ | 30851/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.15.up_proj:  84%|████████▍ | 30852/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.15.down_proj:  84%|████████▍ | 30853/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.16.gate_proj:  84%|████████▍ | 30854/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.16.up_proj:  84%|████████▍ | 30855/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.16.down_proj:  84%|████████▍ | 30856/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.17.gate_proj:  84%|████████▍ | 30857/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.17.up_proj:  84%|████████▍ | 30858/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.17.down_proj:  84%|████████▍ | 30859/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.18.gate_proj:  84%|████████▍ | 30860/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.18.up_proj:  84%|████████▍ | 30861/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.18.down_proj:  84%|████████▍ | 30862/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.19.gate_proj:  84%|████████▍ | 30863/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.19.up_proj:  84%|████████▍ | 30864/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.19.down_proj:  84%|████████▍ | 30865/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.20.gate_proj:  84%|████████▍ | 30866/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.20.up_proj:  84%|████████▍ | 30867/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.20.down_proj:  84%|████████▍ | 30868/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.21.gate_proj:  84%|████████▍ | 30869/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.21.up_proj:  84%|████████▍ | 30870/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.21.down_proj:  84%|████████▍ | 30871/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.22.gate_proj:  84%|████████▍ | 30872/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.22.up_proj:  84%|████████▍ | 30873/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.22.down_proj:  84%|████████▍ | 30874/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.23.gate_proj:  84%|████████▍ | 30875/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.23.up_proj:  84%|████████▍ | 30876/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.23.down_proj:  84%|████████▍ | 30877/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.24.gate_proj:  84%|████████▍ | 30878/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.24.up_proj:  84%|████████▍ | 30879/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.24.down_proj:  84%|████████▍ | 30880/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.25.gate_proj:  84%|████████▍ | 30881/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.25.up_proj:  84%|████████▍ | 30882/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.25.down_proj:  84%|████████▍ | 30883/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.26.gate_proj:  84%|████████▍ | 30884/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.26.up_proj:  84%|████████▍ | 30885/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.26.down_proj:  84%|████████▍ | 30886/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.27.gate_proj:  84%|████████▍ | 30887/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.27.up_proj:  84%|████████▍ | 30888/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.27.down_proj:  84%|████████▍ | 30889/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.28.gate_proj:  84%|████████▍ | 30890/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.28.up_proj:  84%|████████▍ | 30891/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.28.down_proj:  84%|████████▍ | 30892/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.29.gate_proj:  84%|████████▍ | 30893/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.29.up_proj:  84%|████████▍ | 30894/36566 [00:27<00:04, 1168.74it/s]  
packing model.layers.79.mlp.experts.29.down_proj:  84%|████████▍ | 30895/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.30.gate_proj:  84%|████████▍ | 30896/36566 [00:27<00:04, 1168.74it/s]
packing model.layers.79.mlp.experts.30.gate_proj:  84%|████████▍ | 30897/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.30.up_proj:  84%|████████▍ | 30897/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.30.down_proj:  84%|████████▍ | 30898/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.31.gate_proj:  85%|████████▍ | 30899/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.31.up_proj:  85%|████████▍ | 30900/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.31.down_proj:  85%|████████▍ | 30901/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.32.gate_proj:  85%|████████▍ | 30902/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.32.up_proj:  85%|████████▍ | 30903/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.32.down_proj:  85%|████████▍ | 30904/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.33.gate_proj:  85%|████████▍ | 30905/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.33.up_proj:  85%|████████▍ | 30906/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.33.down_proj:  85%|████████▍ | 30907/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.34.gate_proj:  85%|████████▍ | 30908/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.34.up_proj:  85%|████████▍ | 30909/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.34.down_proj:  85%|████████▍ | 30910/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.35.gate_proj:  85%|████████▍ | 30911/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.35.up_proj:  85%|████████▍ | 30912/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.35.down_proj:  85%|████████▍ | 30913/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.36.gate_proj:  85%|████████▍ | 30914/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.36.up_proj:  85%|████████▍ | 30915/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.36.down_proj:  85%|████████▍ | 30916/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.37.gate_proj:  85%|████████▍ | 30917/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.37.up_proj:  85%|████████▍ | 30918/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.37.down_proj:  85%|████████▍ | 30919/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.38.gate_proj:  85%|████████▍ | 30920/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.38.up_proj:  85%|████████▍ | 30921/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.38.down_proj:  85%|████████▍ | 30922/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.39.gate_proj:  85%|████████▍ | 30923/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.39.up_proj:  85%|████████▍ | 30924/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.39.down_proj:  85%|████████▍ | 30925/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.40.gate_proj:  85%|████████▍ | 30926/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.40.up_proj:  85%|████████▍ | 30927/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.40.down_proj:  85%|████████▍ | 30928/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.41.gate_proj:  85%|████████▍ | 30929/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.41.up_proj:  85%|████████▍ | 30930/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.41.down_proj:  85%|████████▍ | 30931/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.42.gate_proj:  85%|████████▍ | 30932/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.42.up_proj:  85%|████████▍ | 30933/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.42.down_proj:  85%|████████▍ | 30934/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.43.gate_proj:  85%|████████▍ | 30935/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.43.up_proj:  85%|████████▍ | 30936/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.43.down_proj:  85%|████████▍ | 30937/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.44.gate_proj:  85%|████████▍ | 30938/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.44.up_proj:  85%|████████▍ | 30939/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.44.down_proj:  85%|████████▍ | 30940/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.45.gate_proj:  85%|████████▍ | 30941/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.45.up_proj:  85%|████████▍ | 30942/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.45.down_proj:  85%|████████▍ | 30943/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.46.gate_proj:  85%|████████▍ | 30944/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.46.up_proj:  85%|████████▍ | 30945/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.46.down_proj:  85%|████████▍ | 30946/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.47.gate_proj:  85%|████████▍ | 30947/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.47.up_proj:  85%|████████▍ | 30948/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.47.down_proj:  85%|████████▍ | 30949/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.48.gate_proj:  85%|████████▍ | 30950/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.48.up_proj:  85%|████████▍ | 30951/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.48.down_proj:  85%|████████▍ | 30952/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.49.gate_proj:  85%|████████▍ | 30953/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.49.up_proj:  85%|████████▍ | 30954/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.49.down_proj:  85%|████████▍ | 30955/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.50.gate_proj:  85%|████████▍ | 30956/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.50.up_proj:  85%|████████▍ | 30957/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.50.down_proj:  85%|████████▍ | 30958/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.51.gate_proj:  85%|████████▍ | 30959/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.51.up_proj:  85%|████████▍ | 30960/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.51.down_proj:  85%|████████▍ | 30961/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.52.gate_proj:  85%|████████▍ | 30962/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.52.up_proj:  85%|████████▍ | 30963/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.52.down_proj:  85%|████████▍ | 30964/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.53.gate_proj:  85%|████████▍ | 30965/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.53.up_proj:  85%|████████▍ | 30966/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.53.down_proj:  85%|████████▍ | 30967/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.54.gate_proj:  85%|████████▍ | 30968/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.54.up_proj:  85%|████████▍ | 30969/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.54.down_proj:  85%|████████▍ | 30970/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.55.gate_proj:  85%|████████▍ | 30971/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.55.up_proj:  85%|████████▍ | 30972/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.55.down_proj:  85%|████████▍ | 30973/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.56.gate_proj:  85%|████████▍ | 30974/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.56.up_proj:  85%|████████▍ | 30975/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.56.down_proj:  85%|████████▍ | 30976/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.57.gate_proj:  85%|████████▍ | 30977/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.57.up_proj:  85%|████████▍ | 30978/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.57.down_proj:  85%|████████▍ | 30979/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.58.gate_proj:  85%|████████▍ | 30980/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.58.up_proj:  85%|████████▍ | 30981/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.58.down_proj:  85%|████████▍ | 30982/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.59.gate_proj:  85%|████████▍ | 30983/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.59.up_proj:  85%|████████▍ | 30984/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.59.down_proj:  85%|████████▍ | 30985/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.60.gate_proj:  85%|████████▍ | 30986/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.60.up_proj:  85%|████████▍ | 30987/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.60.down_proj:  85%|████████▍ | 30988/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.61.gate_proj:  85%|████████▍ | 30989/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.61.up_proj:  85%|████████▍ | 30990/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.61.down_proj:  85%|████████▍ | 30991/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.62.gate_proj:  85%|████████▍ | 30992/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.62.up_proj:  85%|████████▍ | 30993/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.62.down_proj:  85%|████████▍ | 30994/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.63.gate_proj:  85%|████████▍ | 30995/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.63.up_proj:  85%|████████▍ | 30996/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.63.down_proj:  85%|████████▍ | 30997/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.64.gate_proj:  85%|████████▍ | 30998/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.64.up_proj:  85%|████████▍ | 30999/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.64.down_proj:  85%|████████▍ | 31000/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.65.gate_proj:  85%|████████▍ | 31001/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.65.up_proj:  85%|████████▍ | 31002/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.65.down_proj:  85%|████████▍ | 31003/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.66.gate_proj:  85%|████████▍ | 31004/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.66.up_proj:  85%|████████▍ | 31005/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.66.down_proj:  85%|████████▍ | 31006/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.67.gate_proj:  85%|████████▍ | 31007/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.67.up_proj:  85%|████████▍ | 31008/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.67.down_proj:  85%|████████▍ | 31009/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.68.gate_proj:  85%|████████▍ | 31010/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.68.up_proj:  85%|████████▍ | 31011/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.68.down_proj:  85%|████████▍ | 31012/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.69.gate_proj:  85%|████████▍ | 31013/36566 [00:27<00:04, 1168.53it/s]
packing model.layers.79.mlp.experts.69.up_proj:  85%|████████▍ | 31014/36566 [00:27<00:04, 1168.53it/s]  
packing model.layers.79.mlp.experts.69.up_proj:  85%|████████▍ | 31015/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.69.down_proj:  85%|████████▍ | 31015/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.70.gate_proj:  85%|████████▍ | 31016/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.70.up_proj:  85%|████████▍ | 31017/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.70.down_proj:  85%|████████▍ | 31018/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.71.gate_proj:  85%|████████▍ | 31019/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.71.up_proj:  85%|████████▍ | 31020/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.71.down_proj:  85%|████████▍ | 31021/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.72.gate_proj:  85%|████████▍ | 31022/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.72.up_proj:  85%|████████▍ | 31023/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.72.down_proj:  85%|████████▍ | 31024/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.73.gate_proj:  85%|████████▍ | 31025/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.73.up_proj:  85%|████████▍ | 31026/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.73.down_proj:  85%|████████▍ | 31027/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.74.gate_proj:  85%|████████▍ | 31028/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.74.up_proj:  85%|████████▍ | 31029/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.74.down_proj:  85%|████████▍ | 31030/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.75.gate_proj:  85%|████████▍ | 31031/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.75.up_proj:  85%|████████▍ | 31032/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.75.down_proj:  85%|████████▍ | 31033/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.76.gate_proj:  85%|████████▍ | 31034/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.76.up_proj:  85%|████████▍ | 31035/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.76.down_proj:  85%|████████▍ | 31036/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.77.gate_proj:  85%|████████▍ | 31037/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.77.up_proj:  85%|████████▍ | 31038/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.77.down_proj:  85%|████████▍ | 31039/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.78.gate_proj:  85%|████████▍ | 31040/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.78.up_proj:  85%|████████▍ | 31041/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.78.down_proj:  85%|████████▍ | 31042/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.79.gate_proj:  85%|████████▍ | 31043/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.79.up_proj:  85%|████████▍ | 31044/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.79.down_proj:  85%|████████▍ | 31045/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.80.gate_proj:  85%|████████▍ | 31046/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.80.up_proj:  85%|████████▍ | 31047/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.80.down_proj:  85%|████████▍ | 31048/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.81.gate_proj:  85%|████████▍ | 31049/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.81.up_proj:  85%|████████▍ | 31050/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.81.down_proj:  85%|████████▍ | 31051/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.82.gate_proj:  85%|████████▍ | 31052/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.82.up_proj:  85%|████████▍ | 31053/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.82.down_proj:  85%|████████▍ | 31054/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.83.gate_proj:  85%|████████▍ | 31055/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.83.up_proj:  85%|████████▍ | 31056/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.83.down_proj:  85%|████████▍ | 31057/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.84.gate_proj:  85%|████████▍ | 31058/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.84.up_proj:  85%|████████▍ | 31059/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.84.down_proj:  85%|████████▍ | 31060/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.85.gate_proj:  85%|████████▍ | 31061/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.85.up_proj:  85%|████████▍ | 31062/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.85.down_proj:  85%|████████▍ | 31063/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.86.gate_proj:  85%|████████▍ | 31064/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.86.up_proj:  85%|████████▍ | 31065/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.86.down_proj:  85%|████████▍ | 31066/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.87.gate_proj:  85%|████████▍ | 31067/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.87.up_proj:  85%|████████▍ | 31068/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.87.down_proj:  85%|████████▍ | 31069/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.88.gate_proj:  85%|████████▍ | 31070/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.88.up_proj:  85%|████████▍ | 31071/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.88.down_proj:  85%|████████▍ | 31072/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.89.gate_proj:  85%|████████▍ | 31073/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.89.up_proj:  85%|████████▍ | 31074/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.89.down_proj:  85%|████████▍ | 31075/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.90.gate_proj:  85%|████████▍ | 31076/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.90.up_proj:  85%|████████▍ | 31077/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.90.down_proj:  85%|████████▍ | 31078/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.91.gate_proj:  85%|████████▍ | 31079/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.91.up_proj:  85%|████████▍ | 31080/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.91.down_proj:  85%|████████▍ | 31081/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.92.gate_proj:  85%|████████▌ | 31082/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.92.up_proj:  85%|████████▌ | 31083/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.92.down_proj:  85%|████████▌ | 31084/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.93.gate_proj:  85%|████████▌ | 31085/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.93.up_proj:  85%|████████▌ | 31086/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.93.down_proj:  85%|████████▌ | 31087/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.94.gate_proj:  85%|████████▌ | 31088/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.94.up_proj:  85%|████████▌ | 31089/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.94.down_proj:  85%|████████▌ | 31090/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.95.gate_proj:  85%|████████▌ | 31091/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.95.up_proj:  85%|████████▌ | 31092/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.95.down_proj:  85%|████████▌ | 31093/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.96.gate_proj:  85%|████████▌ | 31094/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.96.up_proj:  85%|████████▌ | 31095/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.96.down_proj:  85%|████████▌ | 31096/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.97.gate_proj:  85%|████████▌ | 31097/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.97.up_proj:  85%|████████▌ | 31098/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.97.down_proj:  85%|████████▌ | 31099/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.98.gate_proj:  85%|████████▌ | 31100/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.98.up_proj:  85%|████████▌ | 31101/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.98.down_proj:  85%|████████▌ | 31102/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.99.gate_proj:  85%|████████▌ | 31103/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.99.up_proj:  85%|████████▌ | 31104/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.99.down_proj:  85%|████████▌ | 31105/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.100.gate_proj:  85%|████████▌ | 31106/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.100.up_proj:  85%|████████▌ | 31107/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.100.down_proj:  85%|████████▌ | 31108/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.101.gate_proj:  85%|████████▌ | 31109/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.101.up_proj:  85%|████████▌ | 31110/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.101.down_proj:  85%|████████▌ | 31111/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.102.gate_proj:  85%|████████▌ | 31112/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.102.up_proj:  85%|████████▌ | 31113/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.102.down_proj:  85%|████████▌ | 31114/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.103.gate_proj:  85%|████████▌ | 31115/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.103.up_proj:  85%|████████▌ | 31116/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.103.down_proj:  85%|████████▌ | 31117/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.104.gate_proj:  85%|████████▌ | 31118/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.104.up_proj:  85%|████████▌ | 31119/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.104.down_proj:  85%|████████▌ | 31120/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.105.gate_proj:  85%|████████▌ | 31121/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.105.up_proj:  85%|████████▌ | 31122/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.105.down_proj:  85%|████████▌ | 31123/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.106.gate_proj:  85%|████████▌ | 31124/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.106.up_proj:  85%|████████▌ | 31125/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.106.down_proj:  85%|████████▌ | 31126/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.107.gate_proj:  85%|████████▌ | 31127/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.107.up_proj:  85%|████████▌ | 31128/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.107.down_proj:  85%|████████▌ | 31129/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.108.gate_proj:  85%|████████▌ | 31130/36566 [00:27<00:04, 1169.39it/s]
packing model.layers.79.mlp.experts.108.up_proj:  85%|████████▌ | 31131/36566 [00:27<00:04, 1169.39it/s]  
packing model.layers.79.mlp.experts.108.up_proj:  85%|████████▌ | 31132/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.108.down_proj:  85%|████████▌ | 31132/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.109.gate_proj:  85%|████████▌ | 31133/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.109.up_proj:  85%|████████▌ | 31134/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.109.down_proj:  85%|████████▌ | 31135/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.110.gate_proj:  85%|████████▌ | 31136/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.110.up_proj:  85%|████████▌ | 31137/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.110.down_proj:  85%|████████▌ | 31138/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.111.gate_proj:  85%|████████▌ | 31139/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.111.up_proj:  85%|████████▌ | 31140/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.111.down_proj:  85%|████████▌ | 31141/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.112.gate_proj:  85%|████████▌ | 31142/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.112.up_proj:  85%|████████▌ | 31143/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.112.down_proj:  85%|████████▌ | 31144/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.113.gate_proj:  85%|████████▌ | 31145/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.113.up_proj:  85%|████████▌ | 31146/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.113.down_proj:  85%|████████▌ | 31147/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.114.gate_proj:  85%|████████▌ | 31148/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.114.up_proj:  85%|████████▌ | 31149/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.114.down_proj:  85%|████████▌ | 31150/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.115.gate_proj:  85%|████████▌ | 31151/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.115.up_proj:  85%|████████▌ | 31152/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.115.down_proj:  85%|████████▌ | 31153/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.116.gate_proj:  85%|████████▌ | 31154/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.116.up_proj:  85%|████████▌ | 31155/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.116.down_proj:  85%|████████▌ | 31156/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.117.gate_proj:  85%|████████▌ | 31157/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.117.up_proj:  85%|████████▌ | 31158/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.117.down_proj:  85%|████████▌ | 31159/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.118.gate_proj:  85%|████████▌ | 31160/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.118.up_proj:  85%|████████▌ | 31161/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.118.down_proj:  85%|████████▌ | 31162/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.119.gate_proj:  85%|████████▌ | 31163/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.119.up_proj:  85%|████████▌ | 31164/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.119.down_proj:  85%|████████▌ | 31165/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.120.gate_proj:  85%|████████▌ | 31166/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.120.up_proj:  85%|████████▌ | 31167/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.120.down_proj:  85%|████████▌ | 31168/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.121.gate_proj:  85%|████████▌ | 31169/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.121.up_proj:  85%|████████▌ | 31170/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.121.down_proj:  85%|████████▌ | 31171/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.122.gate_proj:  85%|████████▌ | 31172/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.122.up_proj:  85%|████████▌ | 31173/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.122.down_proj:  85%|████████▌ | 31174/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.123.gate_proj:  85%|████████▌ | 31175/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.123.up_proj:  85%|████████▌ | 31176/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.123.down_proj:  85%|████████▌ | 31177/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.124.gate_proj:  85%|████████▌ | 31178/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.124.up_proj:  85%|████████▌ | 31179/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.124.down_proj:  85%|████████▌ | 31180/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.125.gate_proj:  85%|████████▌ | 31181/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.125.up_proj:  85%|████████▌ | 31182/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.125.down_proj:  85%|████████▌ | 31183/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.126.gate_proj:  85%|████████▌ | 31184/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.126.up_proj:  85%|████████▌ | 31185/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.126.down_proj:  85%|████████▌ | 31186/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.127.gate_proj:  85%|████████▌ | 31187/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.79.mlp.experts.127.up_proj:  85%|████████▌ | 31188/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.79.mlp.experts.127.down_proj:  85%|████████▌ | 31189/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.0.gate_proj:  85%|████████▌ | 31190/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.0.up_proj:  85%|████████▌ | 31191/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.0.down_proj:  85%|████████▌ | 31192/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.1.gate_proj:  85%|████████▌ | 31193/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.1.up_proj:  85%|████████▌ | 31194/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.1.down_proj:  85%|████████▌ | 31195/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.2.gate_proj:  85%|████████▌ | 31196/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.2.up_proj:  85%|████████▌ | 31197/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.2.down_proj:  85%|████████▌ | 31198/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.3.gate_proj:  85%|████████▌ | 31199/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.3.up_proj:  85%|████████▌ | 31200/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.3.down_proj:  85%|████████▌ | 31201/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.4.gate_proj:  85%|████████▌ | 31202/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.4.up_proj:  85%|████████▌ | 31203/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.4.down_proj:  85%|████████▌ | 31204/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.5.gate_proj:  85%|████████▌ | 31205/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.5.up_proj:  85%|████████▌ | 31206/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.5.down_proj:  85%|████████▌ | 31207/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.6.gate_proj:  85%|████████▌ | 31208/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.6.up_proj:  85%|████████▌ | 31209/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.6.down_proj:  85%|████████▌ | 31210/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.7.gate_proj:  85%|████████▌ | 31211/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.7.up_proj:  85%|████████▌ | 31212/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.7.down_proj:  85%|████████▌ | 31213/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.8.gate_proj:  85%|████████▌ | 31214/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.8.up_proj:  85%|████████▌ | 31215/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.8.down_proj:  85%|████████▌ | 31216/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.9.gate_proj:  85%|████████▌ | 31217/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.9.up_proj:  85%|████████▌ | 31218/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.9.down_proj:  85%|████████▌ | 31219/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.10.gate_proj:  85%|████████▌ | 31220/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.10.up_proj:  85%|████████▌ | 31221/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.10.down_proj:  85%|████████▌ | 31222/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.11.gate_proj:  85%|████████▌ | 31223/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.11.up_proj:  85%|████████▌ | 31224/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.11.down_proj:  85%|████████▌ | 31225/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.12.gate_proj:  85%|████████▌ | 31226/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.12.up_proj:  85%|████████▌ | 31227/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.12.down_proj:  85%|████████▌ | 31228/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.13.gate_proj:  85%|████████▌ | 31229/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.13.up_proj:  85%|████████▌ | 31230/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.13.down_proj:  85%|████████▌ | 31231/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.14.gate_proj:  85%|████████▌ | 31232/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.14.up_proj:  85%|████████▌ | 31233/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.14.down_proj:  85%|████████▌ | 31234/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.15.gate_proj:  85%|████████▌ | 31235/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.15.up_proj:  85%|████████▌ | 31236/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.15.down_proj:  85%|████████▌ | 31237/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.16.gate_proj:  85%|████████▌ | 31238/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.16.up_proj:  85%|████████▌ | 31239/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.16.down_proj:  85%|████████▌ | 31240/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.17.gate_proj:  85%|████████▌ | 31241/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.17.up_proj:  85%|████████▌ | 31242/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.17.down_proj:  85%|████████▌ | 31243/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.18.gate_proj:  85%|████████▌ | 31244/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.18.up_proj:  85%|████████▌ | 31245/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.18.down_proj:  85%|████████▌ | 31246/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.19.gate_proj:  85%|████████▌ | 31247/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.19.up_proj:  85%|████████▌ | 31248/36566 [00:27<00:04, 1169.22it/s]  
packing model.layers.80.mlp.experts.19.down_proj:  85%|████████▌ | 31249/36566 [00:27<00:04, 1169.22it/s]
packing model.layers.80.mlp.experts.19.down_proj:  85%|████████▌ | 31250/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.20.gate_proj:  85%|████████▌ | 31250/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.20.up_proj:  85%|████████▌ | 31251/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.20.down_proj:  85%|████████▌ | 31252/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.21.gate_proj:  85%|████████▌ | 31253/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.21.up_proj:  85%|████████▌ | 31254/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.21.down_proj:  85%|████████▌ | 31255/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.22.gate_proj:  85%|████████▌ | 31256/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.22.up_proj:  85%|████████▌ | 31257/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.22.down_proj:  85%|████████▌ | 31258/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.23.gate_proj:  85%|████████▌ | 31259/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.23.up_proj:  85%|████████▌ | 31260/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.23.down_proj:  85%|████████▌ | 31261/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.24.gate_proj:  85%|████████▌ | 31262/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.24.up_proj:  85%|████████▌ | 31263/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.24.down_proj:  86%|████████▌ | 31264/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.25.gate_proj:  86%|████████▌ | 31265/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.25.up_proj:  86%|████████▌ | 31266/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.25.down_proj:  86%|████████▌ | 31267/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.26.gate_proj:  86%|████████▌ | 31268/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.26.up_proj:  86%|████████▌ | 31269/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.26.down_proj:  86%|████████▌ | 31270/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.27.gate_proj:  86%|████████▌ | 31271/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.27.up_proj:  86%|████████▌ | 31272/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.27.down_proj:  86%|████████▌ | 31273/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.28.gate_proj:  86%|████████▌ | 31274/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.28.up_proj:  86%|████████▌ | 31275/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.28.down_proj:  86%|████████▌ | 31276/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.29.gate_proj:  86%|████████▌ | 31277/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.29.up_proj:  86%|████████▌ | 31278/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.29.down_proj:  86%|████████▌ | 31279/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.30.gate_proj:  86%|████████▌ | 31280/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.30.up_proj:  86%|████████▌ | 31281/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.30.down_proj:  86%|████████▌ | 31282/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.31.gate_proj:  86%|████████▌ | 31283/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.31.up_proj:  86%|████████▌ | 31284/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.31.down_proj:  86%|████████▌ | 31285/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.32.gate_proj:  86%|████████▌ | 31286/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.32.up_proj:  86%|████████▌ | 31287/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.32.down_proj:  86%|████████▌ | 31288/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.33.gate_proj:  86%|████████▌ | 31289/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.33.up_proj:  86%|████████▌ | 31290/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.33.down_proj:  86%|████████▌ | 31291/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.34.gate_proj:  86%|████████▌ | 31292/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.34.up_proj:  86%|████████▌ | 31293/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.34.down_proj:  86%|████████▌ | 31294/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.35.gate_proj:  86%|████████▌ | 31295/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.35.up_proj:  86%|████████▌ | 31296/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.35.down_proj:  86%|████████▌ | 31297/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.36.gate_proj:  86%|████████▌ | 31298/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.36.up_proj:  86%|████████▌ | 31299/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.36.down_proj:  86%|████████▌ | 31300/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.37.gate_proj:  86%|████████▌ | 31301/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.37.up_proj:  86%|████████▌ | 31302/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.37.down_proj:  86%|████████▌ | 31303/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.38.gate_proj:  86%|████████▌ | 31304/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.38.up_proj:  86%|████████▌ | 31305/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.38.down_proj:  86%|████████▌ | 31306/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.39.gate_proj:  86%|████████▌ | 31307/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.39.up_proj:  86%|████████▌ | 31308/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.39.down_proj:  86%|████████▌ | 31309/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.40.gate_proj:  86%|████████▌ | 31310/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.40.up_proj:  86%|████████▌ | 31311/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.40.down_proj:  86%|████████▌ | 31312/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.41.gate_proj:  86%|████████▌ | 31313/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.41.up_proj:  86%|████████▌ | 31314/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.41.down_proj:  86%|████████▌ | 31315/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.42.gate_proj:  86%|████████▌ | 31316/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.42.up_proj:  86%|████████▌ | 31317/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.42.down_proj:  86%|████████▌ | 31318/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.43.gate_proj:  86%|████████▌ | 31319/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.43.up_proj:  86%|████████▌ | 31320/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.43.down_proj:  86%|████████▌ | 31321/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.44.gate_proj:  86%|████████▌ | 31322/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.44.up_proj:  86%|████████▌ | 31323/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.44.down_proj:  86%|████████▌ | 31324/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.45.gate_proj:  86%|████████▌ | 31325/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.45.up_proj:  86%|████████▌ | 31326/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.45.down_proj:  86%|████████▌ | 31327/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.46.gate_proj:  86%|████████▌ | 31328/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.46.up_proj:  86%|████████▌ | 31329/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.46.down_proj:  86%|████████▌ | 31330/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.47.gate_proj:  86%|████████▌ | 31331/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.47.up_proj:  86%|████████▌ | 31332/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.47.down_proj:  86%|████████▌ | 31333/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.48.gate_proj:  86%|████████▌ | 31334/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.48.up_proj:  86%|████████▌ | 31335/36566 [00:27<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.48.down_proj:  86%|████████▌ | 31336/36566 [00:27<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.49.gate_proj:  86%|████████▌ | 31337/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.49.up_proj:  86%|████████▌ | 31338/36566 [00:28<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.49.down_proj:  86%|████████▌ | 31339/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.50.gate_proj:  86%|████████▌ | 31340/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.50.up_proj:  86%|████████▌ | 31341/36566 [00:28<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.50.down_proj:  86%|████████▌ | 31342/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.51.gate_proj:  86%|████████▌ | 31343/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.51.up_proj:  86%|████████▌ | 31344/36566 [00:28<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.51.down_proj:  86%|████████▌ | 31345/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.52.gate_proj:  86%|████████▌ | 31346/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.52.up_proj:  86%|████████▌ | 31347/36566 [00:28<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.52.down_proj:  86%|████████▌ | 31348/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.53.gate_proj:  86%|████████▌ | 31349/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.53.up_proj:  86%|████████▌ | 31350/36566 [00:28<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.53.down_proj:  86%|████████▌ | 31351/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.54.gate_proj:  86%|████████▌ | 31352/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.54.up_proj:  86%|████████▌ | 31353/36566 [00:28<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.54.down_proj:  86%|████████▌ | 31354/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.55.gate_proj:  86%|████████▌ | 31355/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.55.up_proj:  86%|████████▌ | 31356/36566 [00:28<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.55.down_proj:  86%|████████▌ | 31357/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.56.gate_proj:  86%|████████▌ | 31358/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.56.up_proj:  86%|████████▌ | 31359/36566 [00:28<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.56.down_proj:  86%|████████▌ | 31360/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.57.gate_proj:  86%|████████▌ | 31361/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.57.up_proj:  86%|████████▌ | 31362/36566 [00:28<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.57.down_proj:  86%|████████▌ | 31363/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.58.gate_proj:  86%|████████▌ | 31364/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.58.up_proj:  86%|████████▌ | 31365/36566 [00:28<00:04, 1170.67it/s]  
packing model.layers.80.mlp.experts.58.down_proj:  86%|████████▌ | 31366/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.59.gate_proj:  86%|████████▌ | 31367/36566 [00:28<00:04, 1170.67it/s]
packing model.layers.80.mlp.experts.59.gate_proj:  86%|████████▌ | 31368/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.59.up_proj:  86%|████████▌ | 31368/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.59.down_proj:  86%|████████▌ | 31369/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.60.gate_proj:  86%|████████▌ | 31370/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.60.up_proj:  86%|████████▌ | 31371/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.60.down_proj:  86%|████████▌ | 31372/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.61.gate_proj:  86%|████████▌ | 31373/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.61.up_proj:  86%|████████▌ | 31374/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.61.down_proj:  86%|████████▌ | 31375/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.62.gate_proj:  86%|████████▌ | 31376/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.62.up_proj:  86%|████████▌ | 31377/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.62.down_proj:  86%|████████▌ | 31378/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.63.gate_proj:  86%|████████▌ | 31379/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.63.up_proj:  86%|████████▌ | 31380/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.63.down_proj:  86%|████████▌ | 31381/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.64.gate_proj:  86%|████████▌ | 31382/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.64.up_proj:  86%|████████▌ | 31383/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.64.down_proj:  86%|████████▌ | 31384/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.65.gate_proj:  86%|████████▌ | 31385/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.65.up_proj:  86%|████████▌ | 31386/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.65.down_proj:  86%|████████▌ | 31387/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.66.gate_proj:  86%|████████▌ | 31388/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.66.up_proj:  86%|████████▌ | 31389/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.66.down_proj:  86%|████████▌ | 31390/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.67.gate_proj:  86%|████████▌ | 31391/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.67.up_proj:  86%|████████▌ | 31392/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.67.down_proj:  86%|████████▌ | 31393/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.68.gate_proj:  86%|████████▌ | 31394/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.68.up_proj:  86%|████████▌ | 31395/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.68.down_proj:  86%|████████▌ | 31396/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.69.gate_proj:  86%|████████▌ | 31397/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.69.up_proj:  86%|████████▌ | 31398/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.69.down_proj:  86%|████████▌ | 31399/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.70.gate_proj:  86%|████████▌ | 31400/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.70.up_proj:  86%|████████▌ | 31401/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.70.down_proj:  86%|████████▌ | 31402/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.71.gate_proj:  86%|████████▌ | 31403/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.71.up_proj:  86%|████████▌ | 31404/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.71.down_proj:  86%|████████▌ | 31405/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.72.gate_proj:  86%|████████▌ | 31406/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.72.up_proj:  86%|████████▌ | 31407/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.72.down_proj:  86%|████████▌ | 31408/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.73.gate_proj:  86%|████████▌ | 31409/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.73.up_proj:  86%|████████▌ | 31410/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.73.down_proj:  86%|████████▌ | 31411/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.74.gate_proj:  86%|████████▌ | 31412/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.74.up_proj:  86%|████████▌ | 31413/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.74.down_proj:  86%|████████▌ | 31414/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.75.gate_proj:  86%|████████▌ | 31415/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.75.up_proj:  86%|████████▌ | 31416/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.75.down_proj:  86%|████████▌ | 31417/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.76.gate_proj:  86%|████████▌ | 31418/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.76.up_proj:  86%|████████▌ | 31419/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.76.down_proj:  86%|████████▌ | 31420/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.77.gate_proj:  86%|████████▌ | 31421/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.77.up_proj:  86%|████████▌ | 31422/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.77.down_proj:  86%|████████▌ | 31423/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.78.gate_proj:  86%|████████▌ | 31424/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.78.up_proj:  86%|████████▌ | 31425/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.78.down_proj:  86%|████████▌ | 31426/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.79.gate_proj:  86%|████████▌ | 31427/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.79.up_proj:  86%|████████▌ | 31428/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.79.down_proj:  86%|████████▌ | 31429/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.80.gate_proj:  86%|████████▌ | 31430/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.80.up_proj:  86%|████████▌ | 31431/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.80.down_proj:  86%|████████▌ | 31432/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.81.gate_proj:  86%|████████▌ | 31433/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.81.up_proj:  86%|████████▌ | 31434/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.81.down_proj:  86%|████████▌ | 31435/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.82.gate_proj:  86%|████████▌ | 31436/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.82.up_proj:  86%|████████▌ | 31437/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.82.down_proj:  86%|████████▌ | 31438/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.83.gate_proj:  86%|████████▌ | 31439/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.83.up_proj:  86%|████████▌ | 31440/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.83.down_proj:  86%|████████▌ | 31441/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.84.gate_proj:  86%|████████▌ | 31442/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.84.up_proj:  86%|████████▌ | 31443/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.84.down_proj:  86%|████████▌ | 31444/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.85.gate_proj:  86%|████████▌ | 31445/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.85.up_proj:  86%|████████▌ | 31446/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.85.down_proj:  86%|████████▌ | 31447/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.86.gate_proj:  86%|████████▌ | 31448/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.86.up_proj:  86%|████████▌ | 31449/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.86.down_proj:  86%|████████▌ | 31450/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.87.gate_proj:  86%|████████▌ | 31451/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.87.up_proj:  86%|████████▌ | 31452/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.87.down_proj:  86%|████████▌ | 31453/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.88.gate_proj:  86%|████████▌ | 31454/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.88.up_proj:  86%|████████▌ | 31455/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.88.down_proj:  86%|████████▌ | 31456/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.89.gate_proj:  86%|████████▌ | 31457/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.89.up_proj:  86%|████████▌ | 31458/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.89.down_proj:  86%|████████▌ | 31459/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.90.gate_proj:  86%|████████▌ | 31460/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.90.up_proj:  86%|████████▌ | 31461/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.90.down_proj:  86%|████████▌ | 31462/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.91.gate_proj:  86%|████████▌ | 31463/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.91.up_proj:  86%|████████▌ | 31464/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.91.down_proj:  86%|████████▌ | 31465/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.92.gate_proj:  86%|████████▌ | 31466/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.92.up_proj:  86%|████████▌ | 31467/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.92.down_proj:  86%|████████▌ | 31468/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.93.gate_proj:  86%|████████▌ | 31469/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.93.up_proj:  86%|████████▌ | 31470/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.93.down_proj:  86%|████████▌ | 31471/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.94.gate_proj:  86%|████████▌ | 31472/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.94.up_proj:  86%|████████▌ | 31473/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.94.down_proj:  86%|████████▌ | 31474/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.95.gate_proj:  86%|████████▌ | 31475/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.95.up_proj:  86%|████████▌ | 31476/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.95.down_proj:  86%|████████▌ | 31477/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.96.gate_proj:  86%|████████▌ | 31478/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.96.up_proj:  86%|████████▌ | 31479/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.96.down_proj:  86%|████████▌ | 31480/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.97.gate_proj:  86%|████████▌ | 31481/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.97.up_proj:  86%|████████▌ | 31482/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.97.down_proj:  86%|████████▌ | 31483/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.98.gate_proj:  86%|████████▌ | 31484/36566 [00:28<00:04, 1171.20it/s]
packing model.layers.80.mlp.experts.98.up_proj:  86%|████████▌ | 31485/36566 [00:28<00:04, 1171.20it/s]  
packing model.layers.80.mlp.experts.98.up_proj:  86%|████████▌ | 31486/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.98.down_proj:  86%|████████▌ | 31486/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.99.gate_proj:  86%|████████▌ | 31487/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.99.up_proj:  86%|████████▌ | 31488/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.99.down_proj:  86%|████████▌ | 31489/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.100.gate_proj:  86%|████████▌ | 31490/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.100.up_proj:  86%|████████▌ | 31491/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.100.down_proj:  86%|████████▌ | 31492/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.101.gate_proj:  86%|████████▌ | 31493/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.101.up_proj:  86%|████████▌ | 31494/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.101.down_proj:  86%|████████▌ | 31495/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.102.gate_proj:  86%|████████▌ | 31496/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.102.up_proj:  86%|████████▌ | 31497/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.102.down_proj:  86%|████████▌ | 31498/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.103.gate_proj:  86%|████████▌ | 31499/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.103.up_proj:  86%|████████▌ | 31500/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.103.down_proj:  86%|████████▌ | 31501/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.104.gate_proj:  86%|████████▌ | 31502/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.104.up_proj:  86%|████████▌ | 31503/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.104.down_proj:  86%|████████▌ | 31504/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.105.gate_proj:  86%|████████▌ | 31505/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.105.up_proj:  86%|████████▌ | 31506/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.105.down_proj:  86%|████████▌ | 31507/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.106.gate_proj:  86%|████████▌ | 31508/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.106.up_proj:  86%|████████▌ | 31509/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.106.down_proj:  86%|████████▌ | 31510/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.107.gate_proj:  86%|████████▌ | 31511/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.107.up_proj:  86%|████████▌ | 31512/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.107.down_proj:  86%|████████▌ | 31513/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.108.gate_proj:  86%|████████▌ | 31514/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.108.up_proj:  86%|████████▌ | 31515/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.108.down_proj:  86%|████████▌ | 31516/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.109.gate_proj:  86%|████████▌ | 31517/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.109.up_proj:  86%|████████▌ | 31518/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.109.down_proj:  86%|████████▌ | 31519/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.110.gate_proj:  86%|████████▌ | 31520/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.110.up_proj:  86%|████████▌ | 31521/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.110.down_proj:  86%|████████▌ | 31522/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.111.gate_proj:  86%|████████▌ | 31523/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.111.up_proj:  86%|████████▌ | 31524/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.111.down_proj:  86%|████████▌ | 31525/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.112.gate_proj:  86%|████████▌ | 31526/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.112.up_proj:  86%|████████▌ | 31527/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.112.down_proj:  86%|████████▌ | 31528/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.113.gate_proj:  86%|████████▌ | 31529/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.113.up_proj:  86%|████████▌ | 31530/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.113.down_proj:  86%|████████▌ | 31531/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.114.gate_proj:  86%|████████▌ | 31532/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.114.up_proj:  86%|████████▌ | 31533/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.114.down_proj:  86%|████████▌ | 31534/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.115.gate_proj:  86%|████████▌ | 31535/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.115.up_proj:  86%|████████▌ | 31536/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.115.down_proj:  86%|████████▌ | 31537/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.116.gate_proj:  86%|████████▌ | 31538/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.116.up_proj:  86%|████████▋ | 31539/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.116.down_proj:  86%|████████▋ | 31540/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.117.gate_proj:  86%|████████▋ | 31541/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.117.up_proj:  86%|████████▋ | 31542/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.117.down_proj:  86%|████████▋ | 31543/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.118.gate_proj:  86%|████████▋ | 31544/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.118.up_proj:  86%|████████▋ | 31545/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.118.down_proj:  86%|████████▋ | 31546/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.119.gate_proj:  86%|████████▋ | 31547/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.119.up_proj:  86%|████████▋ | 31548/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.119.down_proj:  86%|████████▋ | 31549/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.120.gate_proj:  86%|████████▋ | 31550/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.120.up_proj:  86%|████████▋ | 31551/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.120.down_proj:  86%|████████▋ | 31552/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.121.gate_proj:  86%|████████▋ | 31553/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.121.up_proj:  86%|████████▋ | 31554/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.121.down_proj:  86%|████████▋ | 31555/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.122.gate_proj:  86%|████████▋ | 31556/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.122.up_proj:  86%|████████▋ | 31557/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.122.down_proj:  86%|████████▋ | 31558/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.123.gate_proj:  86%|████████▋ | 31559/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.123.up_proj:  86%|████████▋ | 31560/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.123.down_proj:  86%|████████▋ | 31561/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.124.gate_proj:  86%|████████▋ | 31562/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.124.up_proj:  86%|████████▋ | 31563/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.124.down_proj:  86%|████████▋ | 31564/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.125.gate_proj:  86%|████████▋ | 31565/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.125.up_proj:  86%|████████▋ | 31566/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.125.down_proj:  86%|████████▋ | 31567/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.126.gate_proj:  86%|████████▋ | 31568/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.126.up_proj:  86%|████████▋ | 31569/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.126.down_proj:  86%|████████▋ | 31570/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.127.gate_proj:  86%|████████▋ | 31571/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.80.mlp.experts.127.up_proj:  86%|████████▋ | 31572/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.80.mlp.experts.127.down_proj:  86%|████████▋ | 31573/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.0.gate_proj:  86%|████████▋ | 31574/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.81.mlp.experts.0.up_proj:  86%|████████▋ | 31575/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.81.mlp.experts.0.down_proj:  86%|████████▋ | 31576/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.1.gate_proj:  86%|████████▋ | 31577/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.1.up_proj:  86%|████████▋ | 31578/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.81.mlp.experts.1.down_proj:  86%|████████▋ | 31579/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.2.gate_proj:  86%|████████▋ | 31580/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.2.up_proj:  86%|████████▋ | 31581/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.81.mlp.experts.2.down_proj:  86%|████████▋ | 31582/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.3.gate_proj:  86%|████████▋ | 31583/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.3.up_proj:  86%|████████▋ | 31584/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.81.mlp.experts.3.down_proj:  86%|████████▋ | 31585/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.4.gate_proj:  86%|████████▋ | 31586/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.4.up_proj:  86%|████████▋ | 31587/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.81.mlp.experts.4.down_proj:  86%|████████▋ | 31588/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.5.gate_proj:  86%|████████▋ | 31589/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.5.up_proj:  86%|████████▋ | 31590/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.81.mlp.experts.5.down_proj:  86%|████████▋ | 31591/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.6.gate_proj:  86%|████████▋ | 31592/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.6.up_proj:  86%|████████▋ | 31593/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.81.mlp.experts.6.down_proj:  86%|████████▋ | 31594/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.7.gate_proj:  86%|████████▋ | 31595/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.7.up_proj:  86%|████████▋ | 31596/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.81.mlp.experts.7.down_proj:  86%|████████▋ | 31597/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.8.gate_proj:  86%|████████▋ | 31598/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.8.up_proj:  86%|████████▋ | 31599/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.81.mlp.experts.8.down_proj:  86%|████████▋ | 31600/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.9.gate_proj:  86%|████████▋ | 31601/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.9.up_proj:  86%|████████▋ | 31602/36566 [00:28<00:04, 1171.48it/s]  
packing model.layers.81.mlp.experts.9.down_proj:  86%|████████▋ | 31603/36566 [00:28<00:04, 1171.48it/s]
packing model.layers.81.mlp.experts.9.down_proj:  86%|████████▋ | 31604/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.10.gate_proj:  86%|████████▋ | 31604/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.10.up_proj:  86%|████████▋ | 31605/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.10.down_proj:  86%|████████▋ | 31606/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.11.gate_proj:  86%|████████▋ | 31607/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.11.up_proj:  86%|████████▋ | 31608/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.11.down_proj:  86%|████████▋ | 31609/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.12.gate_proj:  86%|████████▋ | 31610/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.12.up_proj:  86%|████████▋ | 31611/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.12.down_proj:  86%|████████▋ | 31612/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.13.gate_proj:  86%|████████▋ | 31613/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.13.up_proj:  86%|████████▋ | 31614/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.13.down_proj:  86%|████████▋ | 31615/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.14.gate_proj:  86%|████████▋ | 31616/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.14.up_proj:  86%|████████▋ | 31617/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.14.down_proj:  86%|████████▋ | 31618/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.15.gate_proj:  86%|████████▋ | 31619/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.15.up_proj:  86%|████████▋ | 31620/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.15.down_proj:  86%|████████▋ | 31621/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.16.gate_proj:  86%|████████▋ | 31622/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.16.up_proj:  86%|████████▋ | 31623/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.16.down_proj:  86%|████████▋ | 31624/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.17.gate_proj:  86%|████████▋ | 31625/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.17.up_proj:  86%|████████▋ | 31626/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.17.down_proj:  86%|████████▋ | 31627/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.18.gate_proj:  86%|████████▋ | 31628/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.18.up_proj:  86%|████████▋ | 31629/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.18.down_proj:  87%|████████▋ | 31630/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.19.gate_proj:  87%|████████▋ | 31631/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.19.up_proj:  87%|████████▋ | 31632/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.19.down_proj:  87%|████████▋ | 31633/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.20.gate_proj:  87%|████████▋ | 31634/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.20.up_proj:  87%|████████▋ | 31635/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.20.down_proj:  87%|████████▋ | 31636/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.21.gate_proj:  87%|████████▋ | 31637/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.21.up_proj:  87%|████████▋ | 31638/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.21.down_proj:  87%|████████▋ | 31639/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.22.gate_proj:  87%|████████▋ | 31640/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.22.up_proj:  87%|████████▋ | 31641/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.22.down_proj:  87%|████████▋ | 31642/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.23.gate_proj:  87%|████████▋ | 31643/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.23.up_proj:  87%|████████▋ | 31644/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.23.down_proj:  87%|████████▋ | 31645/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.24.gate_proj:  87%|████████▋ | 31646/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.24.up_proj:  87%|████████▋ | 31647/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.24.down_proj:  87%|████████▋ | 31648/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.25.gate_proj:  87%|████████▋ | 31649/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.25.up_proj:  87%|████████▋ | 31650/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.25.down_proj:  87%|████████▋ | 31651/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.26.gate_proj:  87%|████████▋ | 31652/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.26.up_proj:  87%|████████▋ | 31653/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.26.down_proj:  87%|████████▋ | 31654/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.27.gate_proj:  87%|████████▋ | 31655/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.27.up_proj:  87%|████████▋ | 31656/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.27.down_proj:  87%|████████▋ | 31657/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.28.gate_proj:  87%|████████▋ | 31658/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.28.up_proj:  87%|████████▋ | 31659/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.28.down_proj:  87%|████████▋ | 31660/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.29.gate_proj:  87%|████████▋ | 31661/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.29.up_proj:  87%|████████▋ | 31662/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.29.down_proj:  87%|████████▋ | 31663/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.30.gate_proj:  87%|████████▋ | 31664/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.30.up_proj:  87%|████████▋ | 31665/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.30.down_proj:  87%|████████▋ | 31666/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.31.gate_proj:  87%|████████▋ | 31667/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.31.up_proj:  87%|████████▋ | 31668/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.31.down_proj:  87%|████████▋ | 31669/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.32.gate_proj:  87%|████████▋ | 31670/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.32.up_proj:  87%|████████▋ | 31671/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.32.down_proj:  87%|████████▋ | 31672/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.33.gate_proj:  87%|████████▋ | 31673/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.33.up_proj:  87%|████████▋ | 31674/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.33.down_proj:  87%|████████▋ | 31675/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.34.gate_proj:  87%|████████▋ | 31676/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.34.up_proj:  87%|████████▋ | 31677/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.34.down_proj:  87%|████████▋ | 31678/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.35.gate_proj:  87%|████████▋ | 31679/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.35.up_proj:  87%|████████▋ | 31680/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.35.down_proj:  87%|████████▋ | 31681/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.36.gate_proj:  87%|████████▋ | 31682/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.36.up_proj:  87%|████████▋ | 31683/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.36.down_proj:  87%|████████▋ | 31684/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.37.gate_proj:  87%|████████▋ | 31685/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.37.up_proj:  87%|████████▋ | 31686/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.37.down_proj:  87%|████████▋ | 31687/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.38.gate_proj:  87%|████████▋ | 31688/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.38.up_proj:  87%|████████▋ | 31689/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.38.down_proj:  87%|████████▋ | 31690/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.39.gate_proj:  87%|████████▋ | 31691/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.39.up_proj:  87%|████████▋ | 31692/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.39.down_proj:  87%|████████▋ | 31693/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.40.gate_proj:  87%|████████▋ | 31694/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.40.up_proj:  87%|████████▋ | 31695/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.40.down_proj:  87%|████████▋ | 31696/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.41.gate_proj:  87%|████████▋ | 31697/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.41.up_proj:  87%|████████▋ | 31698/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.41.down_proj:  87%|████████▋ | 31699/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.42.gate_proj:  87%|████████▋ | 31700/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.42.up_proj:  87%|████████▋ | 31701/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.42.down_proj:  87%|████████▋ | 31702/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.43.gate_proj:  87%|████████▋ | 31703/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.43.up_proj:  87%|████████▋ | 31704/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.43.down_proj:  87%|████████▋ | 31705/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.44.gate_proj:  87%|████████▋ | 31706/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.44.up_proj:  87%|████████▋ | 31707/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.44.down_proj:  87%|████████▋ | 31708/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.45.gate_proj:  87%|████████▋ | 31709/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.45.up_proj:  87%|████████▋ | 31710/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.45.down_proj:  87%|████████▋ | 31711/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.46.gate_proj:  87%|████████▋ | 31712/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.46.up_proj:  87%|████████▋ | 31713/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.46.down_proj:  87%|████████▋ | 31714/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.47.gate_proj:  87%|████████▋ | 31715/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.47.up_proj:  87%|████████▋ | 31716/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.47.down_proj:  87%|████████▋ | 31717/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.48.gate_proj:  87%|████████▋ | 31718/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.48.up_proj:  87%|████████▋ | 31719/36566 [00:28<00:04, 1172.34it/s]  
packing model.layers.81.mlp.experts.48.down_proj:  87%|████████▋ | 31720/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.49.gate_proj:  87%|████████▋ | 31721/36566 [00:28<00:04, 1172.34it/s]
packing model.layers.81.mlp.experts.49.gate_proj:  87%|████████▋ | 31722/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.49.up_proj:  87%|████████▋ | 31722/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.49.down_proj:  87%|████████▋ | 31723/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.50.gate_proj:  87%|████████▋ | 31724/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.50.up_proj:  87%|████████▋ | 31725/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.50.down_proj:  87%|████████▋ | 31726/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.51.gate_proj:  87%|████████▋ | 31727/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.51.up_proj:  87%|████████▋ | 31728/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.51.down_proj:  87%|████████▋ | 31729/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.52.gate_proj:  87%|████████▋ | 31730/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.52.up_proj:  87%|████████▋ | 31731/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.52.down_proj:  87%|████████▋ | 31732/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.53.gate_proj:  87%|████████▋ | 31733/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.53.up_proj:  87%|████████▋ | 31734/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.53.down_proj:  87%|████████▋ | 31735/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.54.gate_proj:  87%|████████▋ | 31736/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.54.up_proj:  87%|████████▋ | 31737/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.54.down_proj:  87%|████████▋ | 31738/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.55.gate_proj:  87%|████████▋ | 31739/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.55.up_proj:  87%|████████▋ | 31740/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.55.down_proj:  87%|████████▋ | 31741/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.56.gate_proj:  87%|████████▋ | 31742/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.56.up_proj:  87%|████████▋ | 31743/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.56.down_proj:  87%|████████▋ | 31744/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.57.gate_proj:  87%|████████▋ | 31745/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.57.up_proj:  87%|████████▋ | 31746/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.57.down_proj:  87%|████████▋ | 31747/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.58.gate_proj:  87%|████████▋ | 31748/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.58.up_proj:  87%|████████▋ | 31749/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.58.down_proj:  87%|████████▋ | 31750/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.59.gate_proj:  87%|████████▋ | 31751/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.59.up_proj:  87%|████████▋ | 31752/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.59.down_proj:  87%|████████▋ | 31753/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.60.gate_proj:  87%|████████▋ | 31754/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.60.up_proj:  87%|████████▋ | 31755/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.60.down_proj:  87%|████████▋ | 31756/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.61.gate_proj:  87%|████████▋ | 31757/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.61.up_proj:  87%|████████▋ | 31758/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.61.down_proj:  87%|████████▋ | 31759/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.62.gate_proj:  87%|████████▋ | 31760/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.62.up_proj:  87%|████████▋ | 31761/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.62.down_proj:  87%|████████▋ | 31762/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.63.gate_proj:  87%|████████▋ | 31763/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.63.up_proj:  87%|████████▋ | 31764/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.63.down_proj:  87%|████████▋ | 31765/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.64.gate_proj:  87%|████████▋ | 31766/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.64.up_proj:  87%|████████▋ | 31767/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.64.down_proj:  87%|████████▋ | 31768/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.65.gate_proj:  87%|████████▋ | 31769/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.65.up_proj:  87%|████████▋ | 31770/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.65.down_proj:  87%|████████▋ | 31771/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.66.gate_proj:  87%|████████▋ | 31772/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.66.up_proj:  87%|████████▋ | 31773/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.66.down_proj:  87%|████████▋ | 31774/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.67.gate_proj:  87%|████████▋ | 31775/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.67.up_proj:  87%|████████▋ | 31776/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.67.down_proj:  87%|████████▋ | 31777/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.68.gate_proj:  87%|████████▋ | 31778/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.68.up_proj:  87%|████████▋ | 31779/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.68.down_proj:  87%|████████▋ | 31780/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.69.gate_proj:  87%|████████▋ | 31781/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.69.up_proj:  87%|████████▋ | 31782/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.69.down_proj:  87%|████████▋ | 31783/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.70.gate_proj:  87%|████████▋ | 31784/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.70.up_proj:  87%|████████▋ | 31785/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.70.down_proj:  87%|████████▋ | 31786/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.71.gate_proj:  87%|████████▋ | 31787/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.71.up_proj:  87%|████████▋ | 31788/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.71.down_proj:  87%|████████▋ | 31789/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.72.gate_proj:  87%|████████▋ | 31790/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.72.up_proj:  87%|████████▋ | 31791/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.72.down_proj:  87%|████████▋ | 31792/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.73.gate_proj:  87%|████████▋ | 31793/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.73.up_proj:  87%|████████▋ | 31794/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.73.down_proj:  87%|████████▋ | 31795/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.74.gate_proj:  87%|████████▋ | 31796/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.74.up_proj:  87%|████████▋ | 31797/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.74.down_proj:  87%|████████▋ | 31798/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.75.gate_proj:  87%|████████▋ | 31799/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.75.up_proj:  87%|████████▋ | 31800/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.75.down_proj:  87%|████████▋ | 31801/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.76.gate_proj:  87%|████████▋ | 31802/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.76.up_proj:  87%|████████▋ | 31803/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.76.down_proj:  87%|████████▋ | 31804/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.77.gate_proj:  87%|████████▋ | 31805/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.77.up_proj:  87%|████████▋ | 31806/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.77.down_proj:  87%|████████▋ | 31807/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.78.gate_proj:  87%|████████▋ | 31808/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.78.up_proj:  87%|████████▋ | 31809/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.78.down_proj:  87%|████████▋ | 31810/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.79.gate_proj:  87%|████████▋ | 31811/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.79.up_proj:  87%|████████▋ | 31812/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.79.down_proj:  87%|████████▋ | 31813/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.80.gate_proj:  87%|████████▋ | 31814/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.80.up_proj:  87%|████████▋ | 31815/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.80.down_proj:  87%|████████▋ | 31816/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.81.gate_proj:  87%|████████▋ | 31817/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.81.up_proj:  87%|████████▋ | 31818/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.81.down_proj:  87%|████████▋ | 31819/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.82.gate_proj:  87%|████████▋ | 31820/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.82.up_proj:  87%|████████▋ | 31821/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.82.down_proj:  87%|████████▋ | 31822/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.83.gate_proj:  87%|████████▋ | 31823/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.83.up_proj:  87%|████████▋ | 31824/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.83.down_proj:  87%|████████▋ | 31825/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.84.gate_proj:  87%|████████▋ | 31826/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.84.up_proj:  87%|████████▋ | 31827/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.84.down_proj:  87%|████████▋ | 31828/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.85.gate_proj:  87%|████████▋ | 31829/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.85.up_proj:  87%|████████▋ | 31830/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.85.down_proj:  87%|████████▋ | 31831/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.86.gate_proj:  87%|████████▋ | 31832/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.86.up_proj:  87%|████████▋ | 31833/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.86.down_proj:  87%|████████▋ | 31834/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.87.gate_proj:  87%|████████▋ | 31835/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.87.up_proj:  87%|████████▋ | 31836/36566 [00:28<00:04, 1167.92it/s]  
packing model.layers.81.mlp.experts.87.down_proj:  87%|████████▋ | 31837/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.88.gate_proj:  87%|████████▋ | 31838/36566 [00:28<00:04, 1167.92it/s]
packing model.layers.81.mlp.experts.88.gate_proj:  87%|████████▋ | 31839/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.88.up_proj:  87%|████████▋ | 31839/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.88.down_proj:  87%|████████▋ | 31840/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.89.gate_proj:  87%|████████▋ | 31841/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.89.up_proj:  87%|████████▋ | 31842/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.89.down_proj:  87%|████████▋ | 31843/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.90.gate_proj:  87%|████████▋ | 31844/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.90.up_proj:  87%|████████▋ | 31845/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.90.down_proj:  87%|████████▋ | 31846/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.91.gate_proj:  87%|████████▋ | 31847/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.91.up_proj:  87%|████████▋ | 31848/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.91.down_proj:  87%|████████▋ | 31849/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.92.gate_proj:  87%|████████▋ | 31850/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.92.up_proj:  87%|████████▋ | 31851/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.92.down_proj:  87%|████████▋ | 31852/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.93.gate_proj:  87%|████████▋ | 31853/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.93.up_proj:  87%|████████▋ | 31854/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.93.down_proj:  87%|████████▋ | 31855/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.94.gate_proj:  87%|████████▋ | 31856/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.94.up_proj:  87%|████████▋ | 31857/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.94.down_proj:  87%|████████▋ | 31858/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.95.gate_proj:  87%|████████▋ | 31859/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.95.up_proj:  87%|████████▋ | 31860/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.95.down_proj:  87%|████████▋ | 31861/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.96.gate_proj:  87%|████████▋ | 31862/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.96.up_proj:  87%|████████▋ | 31863/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.96.down_proj:  87%|████████▋ | 31864/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.97.gate_proj:  87%|████████▋ | 31865/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.97.up_proj:  87%|████████▋ | 31866/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.97.down_proj:  87%|████████▋ | 31867/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.98.gate_proj:  87%|████████▋ | 31868/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.98.up_proj:  87%|████████▋ | 31869/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.98.down_proj:  87%|████████▋ | 31870/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.99.gate_proj:  87%|████████▋ | 31871/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.99.up_proj:  87%|████████▋ | 31872/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.99.down_proj:  87%|████████▋ | 31873/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.100.gate_proj:  87%|████████▋ | 31874/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.100.up_proj:  87%|████████▋ | 31875/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.100.down_proj:  87%|████████▋ | 31876/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.101.gate_proj:  87%|████████▋ | 31877/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.101.up_proj:  87%|████████▋ | 31878/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.101.down_proj:  87%|████████▋ | 31879/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.102.gate_proj:  87%|████████▋ | 31880/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.102.up_proj:  87%|████████▋ | 31881/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.102.down_proj:  87%|████████▋ | 31882/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.103.gate_proj:  87%|████████▋ | 31883/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.103.up_proj:  87%|████████▋ | 31884/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.103.down_proj:  87%|████████▋ | 31885/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.104.gate_proj:  87%|████████▋ | 31886/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.104.up_proj:  87%|████████▋ | 31887/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.104.down_proj:  87%|████████▋ | 31888/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.105.gate_proj:  87%|████████▋ | 31889/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.105.up_proj:  87%|████████▋ | 31890/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.105.down_proj:  87%|████████▋ | 31891/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.106.gate_proj:  87%|████████▋ | 31892/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.106.up_proj:  87%|████████▋ | 31893/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.106.down_proj:  87%|████████▋ | 31894/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.107.gate_proj:  87%|████████▋ | 31895/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.107.up_proj:  87%|████████▋ | 31896/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.107.down_proj:  87%|████████▋ | 31897/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.108.gate_proj:  87%|████████▋ | 31898/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.108.up_proj:  87%|████████▋ | 31899/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.108.down_proj:  87%|████████▋ | 31900/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.109.gate_proj:  87%|████████▋ | 31901/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.109.up_proj:  87%|████████▋ | 31902/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.109.down_proj:  87%|████████▋ | 31903/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.110.gate_proj:  87%|████████▋ | 31904/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.110.up_proj:  87%|████████▋ | 31905/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.110.down_proj:  87%|████████▋ | 31906/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.111.gate_proj:  87%|████████▋ | 31907/36566 [00:28<00:04, 1164.32it/s]
packing model.layers.81.mlp.experts.111.up_proj:  87%|████████▋ | 31908/36566 [00:28<00:04, 1164.32it/s]  
packing model.layers.81.mlp.experts.111.down_proj:  87%|████████▋ | 31909/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.112.gate_proj:  87%|████████▋ | 31910/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.112.up_proj:  87%|████████▋ | 31911/36566 [00:28<00:03, 1164.32it/s]  
packing model.layers.81.mlp.experts.112.down_proj:  87%|████████▋ | 31912/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.113.gate_proj:  87%|████████▋ | 31913/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.113.up_proj:  87%|████████▋ | 31914/36566 [00:28<00:03, 1164.32it/s]  
packing model.layers.81.mlp.experts.113.down_proj:  87%|████████▋ | 31915/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.114.gate_proj:  87%|████████▋ | 31916/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.114.up_proj:  87%|████████▋ | 31917/36566 [00:28<00:03, 1164.32it/s]  
packing model.layers.81.mlp.experts.114.down_proj:  87%|████████▋ | 31918/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.115.gate_proj:  87%|████████▋ | 31919/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.115.up_proj:  87%|████████▋ | 31920/36566 [00:28<00:03, 1164.32it/s]  
packing model.layers.81.mlp.experts.115.down_proj:  87%|████████▋ | 31921/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.116.gate_proj:  87%|████████▋ | 31922/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.116.up_proj:  87%|████████▋ | 31923/36566 [00:28<00:03, 1164.32it/s]  
packing model.layers.81.mlp.experts.116.down_proj:  87%|████████▋ | 31924/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.117.gate_proj:  87%|████████▋ | 31925/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.117.up_proj:  87%|████████▋ | 31926/36566 [00:28<00:03, 1164.32it/s]  
packing model.layers.81.mlp.experts.117.down_proj:  87%|████████▋ | 31927/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.118.gate_proj:  87%|████████▋ | 31928/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.118.up_proj:  87%|████████▋ | 31929/36566 [00:28<00:03, 1164.32it/s]  
packing model.layers.81.mlp.experts.118.down_proj:  87%|████████▋ | 31930/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.119.gate_proj:  87%|████████▋ | 31931/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.119.up_proj:  87%|████████▋ | 31932/36566 [00:28<00:03, 1164.32it/s]  
packing model.layers.81.mlp.experts.119.down_proj:  87%|████████▋ | 31933/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.120.gate_proj:  87%|████████▋ | 31934/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.120.up_proj:  87%|████████▋ | 31935/36566 [00:28<00:03, 1164.32it/s]  
packing model.layers.81.mlp.experts.120.down_proj:  87%|████████▋ | 31936/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.121.gate_proj:  87%|████████▋ | 31937/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.121.up_proj:  87%|████████▋ | 31938/36566 [00:28<00:03, 1164.32it/s]  
packing model.layers.81.mlp.experts.121.down_proj:  87%|████████▋ | 31939/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.122.gate_proj:  87%|████████▋ | 31940/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.122.up_proj:  87%|████████▋ | 31941/36566 [00:28<00:03, 1164.32it/s]  
packing model.layers.81.mlp.experts.122.down_proj:  87%|████████▋ | 31942/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.123.gate_proj:  87%|████████▋ | 31943/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.123.up_proj:  87%|████████▋ | 31944/36566 [00:28<00:03, 1164.32it/s]  
packing model.layers.81.mlp.experts.123.down_proj:  87%|████████▋ | 31945/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.124.gate_proj:  87%|████████▋ | 31946/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.124.up_proj:  87%|████████▋ | 31947/36566 [00:28<00:03, 1164.32it/s]  
packing model.layers.81.mlp.experts.124.down_proj:  87%|████████▋ | 31948/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.125.gate_proj:  87%|████████▋ | 31949/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.125.up_proj:  87%|████████▋ | 31950/36566 [00:28<00:03, 1164.32it/s]  
packing model.layers.81.mlp.experts.125.down_proj:  87%|████████▋ | 31951/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.126.gate_proj:  87%|████████▋ | 31952/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.126.up_proj:  87%|████████▋ | 31953/36566 [00:28<00:03, 1164.32it/s]  
packing model.layers.81.mlp.experts.126.down_proj:  87%|████████▋ | 31954/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.127.gate_proj:  87%|████████▋ | 31955/36566 [00:28<00:03, 1164.32it/s]
packing model.layers.81.mlp.experts.127.gate_proj:  87%|████████▋ | 31956/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.81.mlp.experts.127.up_proj:  87%|████████▋ | 31956/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.81.mlp.experts.127.down_proj:  87%|████████▋ | 31957/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.0.gate_proj:  87%|████████▋ | 31958/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.0.up_proj:  87%|████████▋ | 31959/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.0.down_proj:  87%|████████▋ | 31960/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.1.gate_proj:  87%|████████▋ | 31961/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.1.up_proj:  87%|████████▋ | 31962/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.1.down_proj:  87%|████████▋ | 31963/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.2.gate_proj:  87%|████████▋ | 31964/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.2.up_proj:  87%|████████▋ | 31965/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.2.down_proj:  87%|████████▋ | 31966/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.3.gate_proj:  87%|████████▋ | 31967/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.3.up_proj:  87%|████████▋ | 31968/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.3.down_proj:  87%|████████▋ | 31969/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.4.gate_proj:  87%|████████▋ | 31970/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.4.up_proj:  87%|████████▋ | 31971/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.4.down_proj:  87%|████████▋ | 31972/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.5.gate_proj:  87%|████████▋ | 31973/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.5.up_proj:  87%|████████▋ | 31974/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.5.down_proj:  87%|████████▋ | 31975/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.6.gate_proj:  87%|████████▋ | 31976/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.6.up_proj:  87%|████████▋ | 31977/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.6.down_proj:  87%|████████▋ | 31978/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.7.gate_proj:  87%|████████▋ | 31979/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.7.up_proj:  87%|████████▋ | 31980/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.7.down_proj:  87%|████████▋ | 31981/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.8.gate_proj:  87%|████████▋ | 31982/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.8.up_proj:  87%|████████▋ | 31983/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.8.down_proj:  87%|████████▋ | 31984/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.9.gate_proj:  87%|████████▋ | 31985/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.9.up_proj:  87%|████████▋ | 31986/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.9.down_proj:  87%|████████▋ | 31987/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.10.gate_proj:  87%|████████▋ | 31988/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.10.up_proj:  87%|████████▋ | 31989/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.10.down_proj:  87%|████████▋ | 31990/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.11.gate_proj:  87%|████████▋ | 31991/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.11.up_proj:  87%|████████▋ | 31992/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.11.down_proj:  87%|████████▋ | 31993/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.12.gate_proj:  87%|████████▋ | 31994/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.12.up_proj:  87%|████████▋ | 31995/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.12.down_proj:  88%|████████▊ | 31996/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.13.gate_proj:  88%|████████▊ | 31997/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.13.up_proj:  88%|████████▊ | 31998/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.13.down_proj:  88%|████████▊ | 31999/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.14.gate_proj:  88%|████████▊ | 32000/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.14.up_proj:  88%|████████▊ | 32001/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.14.down_proj:  88%|████████▊ | 32002/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.15.gate_proj:  88%|████████▊ | 32003/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.15.up_proj:  88%|████████▊ | 32004/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.15.down_proj:  88%|████████▊ | 32005/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.16.gate_proj:  88%|████████▊ | 32006/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.16.up_proj:  88%|████████▊ | 32007/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.16.down_proj:  88%|████████▊ | 32008/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.17.gate_proj:  88%|████████▊ | 32009/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.17.up_proj:  88%|████████▊ | 32010/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.17.down_proj:  88%|████████▊ | 32011/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.18.gate_proj:  88%|████████▊ | 32012/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.18.up_proj:  88%|████████▊ | 32013/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.18.down_proj:  88%|████████▊ | 32014/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.19.gate_proj:  88%|████████▊ | 32015/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.19.up_proj:  88%|████████▊ | 32016/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.19.down_proj:  88%|████████▊ | 32017/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.20.gate_proj:  88%|████████▊ | 32018/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.20.up_proj:  88%|████████▊ | 32019/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.20.down_proj:  88%|████████▊ | 32020/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.21.gate_proj:  88%|████████▊ | 32021/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.21.up_proj:  88%|████████▊ | 32022/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.21.down_proj:  88%|████████▊ | 32023/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.22.gate_proj:  88%|████████▊ | 32024/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.22.up_proj:  88%|████████▊ | 32025/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.22.down_proj:  88%|████████▊ | 32026/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.23.gate_proj:  88%|████████▊ | 32027/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.23.up_proj:  88%|████████▊ | 32028/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.23.down_proj:  88%|████████▊ | 32029/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.24.gate_proj:  88%|████████▊ | 32030/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.24.up_proj:  88%|████████▊ | 32031/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.24.down_proj:  88%|████████▊ | 32032/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.25.gate_proj:  88%|████████▊ | 32033/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.25.up_proj:  88%|████████▊ | 32034/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.25.down_proj:  88%|████████▊ | 32035/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.26.gate_proj:  88%|████████▊ | 32036/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.26.up_proj:  88%|████████▊ | 32037/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.26.down_proj:  88%|████████▊ | 32038/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.27.gate_proj:  88%|████████▊ | 32039/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.27.up_proj:  88%|████████▊ | 32040/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.27.down_proj:  88%|████████▊ | 32041/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.28.gate_proj:  88%|████████▊ | 32042/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.28.up_proj:  88%|████████▊ | 32043/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.28.down_proj:  88%|████████▊ | 32044/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.29.gate_proj:  88%|████████▊ | 32045/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.29.up_proj:  88%|████████▊ | 32046/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.29.down_proj:  88%|████████▊ | 32047/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.30.gate_proj:  88%|████████▊ | 32048/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.30.up_proj:  88%|████████▊ | 32049/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.30.down_proj:  88%|████████▊ | 32050/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.31.gate_proj:  88%|████████▊ | 32051/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.31.up_proj:  88%|████████▊ | 32052/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.31.down_proj:  88%|████████▊ | 32053/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.32.gate_proj:  88%|████████▊ | 32054/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.32.up_proj:  88%|████████▊ | 32055/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.32.down_proj:  88%|████████▊ | 32056/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.33.gate_proj:  88%|████████▊ | 32057/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.33.up_proj:  88%|████████▊ | 32058/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.33.down_proj:  88%|████████▊ | 32059/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.34.gate_proj:  88%|████████▊ | 32060/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.34.up_proj:  88%|████████▊ | 32061/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.34.down_proj:  88%|████████▊ | 32062/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.35.gate_proj:  88%|████████▊ | 32063/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.35.up_proj:  88%|████████▊ | 32064/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.35.down_proj:  88%|████████▊ | 32065/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.36.gate_proj:  88%|████████▊ | 32066/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.36.up_proj:  88%|████████▊ | 32067/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.36.down_proj:  88%|████████▊ | 32068/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.37.gate_proj:  88%|████████▊ | 32069/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.37.up_proj:  88%|████████▊ | 32070/36566 [00:28<00:03, 1154.85it/s]  
packing model.layers.82.mlp.experts.37.down_proj:  88%|████████▊ | 32071/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.38.gate_proj:  88%|████████▊ | 32072/36566 [00:28<00:03, 1154.85it/s]
packing model.layers.82.mlp.experts.38.gate_proj:  88%|████████▊ | 32073/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.38.up_proj:  88%|████████▊ | 32073/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.38.down_proj:  88%|████████▊ | 32074/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.39.gate_proj:  88%|████████▊ | 32075/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.39.up_proj:  88%|████████▊ | 32076/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.39.down_proj:  88%|████████▊ | 32077/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.40.gate_proj:  88%|████████▊ | 32078/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.40.up_proj:  88%|████████▊ | 32079/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.40.down_proj:  88%|████████▊ | 32080/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.41.gate_proj:  88%|████████▊ | 32081/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.41.up_proj:  88%|████████▊ | 32082/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.41.down_proj:  88%|████████▊ | 32083/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.42.gate_proj:  88%|████████▊ | 32084/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.42.up_proj:  88%|████████▊ | 32085/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.42.down_proj:  88%|████████▊ | 32086/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.43.gate_proj:  88%|████████▊ | 32087/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.43.up_proj:  88%|████████▊ | 32088/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.43.down_proj:  88%|████████▊ | 32089/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.44.gate_proj:  88%|████████▊ | 32090/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.44.up_proj:  88%|████████▊ | 32091/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.44.down_proj:  88%|████████▊ | 32092/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.45.gate_proj:  88%|████████▊ | 32093/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.45.up_proj:  88%|████████▊ | 32094/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.45.down_proj:  88%|████████▊ | 32095/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.46.gate_proj:  88%|████████▊ | 32096/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.46.up_proj:  88%|████████▊ | 32097/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.46.down_proj:  88%|████████▊ | 32098/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.47.gate_proj:  88%|████████▊ | 32099/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.47.up_proj:  88%|████████▊ | 32100/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.47.down_proj:  88%|████████▊ | 32101/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.48.gate_proj:  88%|████████▊ | 32102/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.48.up_proj:  88%|████████▊ | 32103/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.48.down_proj:  88%|████████▊ | 32104/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.49.gate_proj:  88%|████████▊ | 32105/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.49.up_proj:  88%|████████▊ | 32106/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.49.down_proj:  88%|████████▊ | 32107/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.50.gate_proj:  88%|████████▊ | 32108/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.50.up_proj:  88%|████████▊ | 32109/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.50.down_proj:  88%|████████▊ | 32110/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.51.gate_proj:  88%|████████▊ | 32111/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.51.up_proj:  88%|████████▊ | 32112/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.51.down_proj:  88%|████████▊ | 32113/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.52.gate_proj:  88%|████████▊ | 32114/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.52.up_proj:  88%|████████▊ | 32115/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.52.down_proj:  88%|████████▊ | 32116/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.53.gate_proj:  88%|████████▊ | 32117/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.53.up_proj:  88%|████████▊ | 32118/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.53.down_proj:  88%|████████▊ | 32119/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.54.gate_proj:  88%|████████▊ | 32120/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.54.up_proj:  88%|████████▊ | 32121/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.54.down_proj:  88%|████████▊ | 32122/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.55.gate_proj:  88%|████████▊ | 32123/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.55.up_proj:  88%|████████▊ | 32124/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.55.down_proj:  88%|████████▊ | 32125/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.56.gate_proj:  88%|████████▊ | 32126/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.56.up_proj:  88%|████████▊ | 32127/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.56.down_proj:  88%|████████▊ | 32128/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.57.gate_proj:  88%|████████▊ | 32129/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.57.up_proj:  88%|████████▊ | 32130/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.57.down_proj:  88%|████████▊ | 32131/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.58.gate_proj:  88%|████████▊ | 32132/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.58.up_proj:  88%|████████▊ | 32133/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.58.down_proj:  88%|████████▊ | 32134/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.59.gate_proj:  88%|████████▊ | 32135/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.59.up_proj:  88%|████████▊ | 32136/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.59.down_proj:  88%|████████▊ | 32137/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.60.gate_proj:  88%|████████▊ | 32138/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.60.up_proj:  88%|████████▊ | 32139/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.60.down_proj:  88%|████████▊ | 32140/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.61.gate_proj:  88%|████████▊ | 32141/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.61.up_proj:  88%|████████▊ | 32142/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.61.down_proj:  88%|████████▊ | 32143/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.62.gate_proj:  88%|████████▊ | 32144/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.62.up_proj:  88%|████████▊ | 32145/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.62.down_proj:  88%|████████▊ | 32146/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.63.gate_proj:  88%|████████▊ | 32147/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.63.up_proj:  88%|████████▊ | 32148/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.63.down_proj:  88%|████████▊ | 32149/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.64.gate_proj:  88%|████████▊ | 32150/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.64.up_proj:  88%|████████▊ | 32151/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.64.down_proj:  88%|████████▊ | 32152/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.65.gate_proj:  88%|████████▊ | 32153/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.65.up_proj:  88%|████████▊ | 32154/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.65.down_proj:  88%|████████▊ | 32155/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.66.gate_proj:  88%|████████▊ | 32156/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.66.up_proj:  88%|████████▊ | 32157/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.66.down_proj:  88%|████████▊ | 32158/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.67.gate_proj:  88%|████████▊ | 32159/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.67.up_proj:  88%|████████▊ | 32160/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.67.down_proj:  88%|████████▊ | 32161/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.68.gate_proj:  88%|████████▊ | 32162/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.68.up_proj:  88%|████████▊ | 32163/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.68.down_proj:  88%|████████▊ | 32164/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.69.gate_proj:  88%|████████▊ | 32165/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.69.up_proj:  88%|████████▊ | 32166/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.69.down_proj:  88%|████████▊ | 32167/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.70.gate_proj:  88%|████████▊ | 32168/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.70.up_proj:  88%|████████▊ | 32169/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.70.down_proj:  88%|████████▊ | 32170/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.71.gate_proj:  88%|████████▊ | 32171/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.71.up_proj:  88%|████████▊ | 32172/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.71.down_proj:  88%|████████▊ | 32173/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.72.gate_proj:  88%|████████▊ | 32174/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.72.up_proj:  88%|████████▊ | 32175/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.72.down_proj:  88%|████████▊ | 32176/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.73.gate_proj:  88%|████████▊ | 32177/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.73.up_proj:  88%|████████▊ | 32178/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.73.down_proj:  88%|████████▊ | 32179/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.74.gate_proj:  88%|████████▊ | 32180/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.74.up_proj:  88%|████████▊ | 32181/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.74.down_proj:  88%|████████▊ | 32182/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.75.gate_proj:  88%|████████▊ | 32183/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.75.up_proj:  88%|████████▊ | 32184/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.75.down_proj:  88%|████████▊ | 32185/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.76.gate_proj:  88%|████████▊ | 32186/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.76.up_proj:  88%|████████▊ | 32187/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.76.down_proj:  88%|████████▊ | 32188/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.77.gate_proj:  88%|████████▊ | 32189/36566 [00:28<00:03, 1158.79it/s]
packing model.layers.82.mlp.experts.77.up_proj:  88%|████████▊ | 32190/36566 [00:28<00:03, 1158.79it/s]  
packing model.layers.82.mlp.experts.77.up_proj:  88%|████████▊ | 32191/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.77.down_proj:  88%|████████▊ | 32191/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.78.gate_proj:  88%|████████▊ | 32192/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.78.up_proj:  88%|████████▊ | 32193/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.78.down_proj:  88%|████████▊ | 32194/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.79.gate_proj:  88%|████████▊ | 32195/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.79.up_proj:  88%|████████▊ | 32196/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.79.down_proj:  88%|████████▊ | 32197/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.80.gate_proj:  88%|████████▊ | 32198/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.80.up_proj:  88%|████████▊ | 32199/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.80.down_proj:  88%|████████▊ | 32200/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.81.gate_proj:  88%|████████▊ | 32201/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.81.up_proj:  88%|████████▊ | 32202/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.81.down_proj:  88%|████████▊ | 32203/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.82.gate_proj:  88%|████████▊ | 32204/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.82.up_proj:  88%|████████▊ | 32205/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.82.down_proj:  88%|████████▊ | 32206/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.83.gate_proj:  88%|████████▊ | 32207/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.83.up_proj:  88%|████████▊ | 32208/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.83.down_proj:  88%|████████▊ | 32209/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.84.gate_proj:  88%|████████▊ | 32210/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.84.up_proj:  88%|████████▊ | 32211/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.84.down_proj:  88%|████████▊ | 32212/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.85.gate_proj:  88%|████████▊ | 32213/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.85.up_proj:  88%|████████▊ | 32214/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.85.down_proj:  88%|████████▊ | 32215/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.86.gate_proj:  88%|████████▊ | 32216/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.86.up_proj:  88%|████████▊ | 32217/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.86.down_proj:  88%|████████▊ | 32218/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.87.gate_proj:  88%|████████▊ | 32219/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.87.up_proj:  88%|████████▊ | 32220/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.87.down_proj:  88%|████████▊ | 32221/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.88.gate_proj:  88%|████████▊ | 32222/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.88.up_proj:  88%|████████▊ | 32223/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.88.down_proj:  88%|████████▊ | 32224/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.89.gate_proj:  88%|████████▊ | 32225/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.89.up_proj:  88%|████████▊ | 32226/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.89.down_proj:  88%|████████▊ | 32227/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.90.gate_proj:  88%|████████▊ | 32228/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.90.up_proj:  88%|████████▊ | 32229/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.90.down_proj:  88%|████████▊ | 32230/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.91.gate_proj:  88%|████████▊ | 32231/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.91.up_proj:  88%|████████▊ | 32232/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.91.down_proj:  88%|████████▊ | 32233/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.92.gate_proj:  88%|████████▊ | 32234/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.92.up_proj:  88%|████████▊ | 32235/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.92.down_proj:  88%|████████▊ | 32236/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.93.gate_proj:  88%|████████▊ | 32237/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.93.up_proj:  88%|████████▊ | 32238/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.93.down_proj:  88%|████████▊ | 32239/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.94.gate_proj:  88%|████████▊ | 32240/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.94.up_proj:  88%|████████▊ | 32241/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.94.down_proj:  88%|████████▊ | 32242/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.95.gate_proj:  88%|████████▊ | 32243/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.95.up_proj:  88%|████████▊ | 32244/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.95.down_proj:  88%|████████▊ | 32245/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.96.gate_proj:  88%|████████▊ | 32246/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.96.up_proj:  88%|████████▊ | 32247/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.96.down_proj:  88%|████████▊ | 32248/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.97.gate_proj:  88%|████████▊ | 32249/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.97.up_proj:  88%|████████▊ | 32250/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.97.down_proj:  88%|████████▊ | 32251/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.98.gate_proj:  88%|████████▊ | 32252/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.98.up_proj:  88%|████████▊ | 32253/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.98.down_proj:  88%|████████▊ | 32254/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.99.gate_proj:  88%|████████▊ | 32255/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.99.up_proj:  88%|████████▊ | 32256/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.99.down_proj:  88%|████████▊ | 32257/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.100.gate_proj:  88%|████████▊ | 32258/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.100.up_proj:  88%|████████▊ | 32259/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.100.down_proj:  88%|████████▊ | 32260/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.101.gate_proj:  88%|████████▊ | 32261/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.101.up_proj:  88%|████████▊ | 32262/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.101.down_proj:  88%|████████▊ | 32263/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.102.gate_proj:  88%|████████▊ | 32264/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.102.up_proj:  88%|████████▊ | 32265/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.102.down_proj:  88%|████████▊ | 32266/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.103.gate_proj:  88%|████████▊ | 32267/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.103.up_proj:  88%|████████▊ | 32268/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.103.down_proj:  88%|████████▊ | 32269/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.104.gate_proj:  88%|████████▊ | 32270/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.104.up_proj:  88%|████████▊ | 32271/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.104.down_proj:  88%|████████▊ | 32272/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.105.gate_proj:  88%|████████▊ | 32273/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.105.up_proj:  88%|████████▊ | 32274/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.105.down_proj:  88%|████████▊ | 32275/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.106.gate_proj:  88%|████████▊ | 32276/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.106.up_proj:  88%|████████▊ | 32277/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.106.down_proj:  88%|████████▊ | 32278/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.107.gate_proj:  88%|████████▊ | 32279/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.107.up_proj:  88%|████████▊ | 32280/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.107.down_proj:  88%|████████▊ | 32281/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.108.gate_proj:  88%|████████▊ | 32282/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.108.up_proj:  88%|████████▊ | 32283/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.108.down_proj:  88%|████████▊ | 32284/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.109.gate_proj:  88%|████████▊ | 32285/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.109.up_proj:  88%|████████▊ | 32286/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.109.down_proj:  88%|████████▊ | 32287/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.110.gate_proj:  88%|████████▊ | 32288/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.110.up_proj:  88%|████████▊ | 32289/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.110.down_proj:  88%|████████▊ | 32290/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.111.gate_proj:  88%|████████▊ | 32291/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.111.up_proj:  88%|████████▊ | 32292/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.111.down_proj:  88%|████████▊ | 32293/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.112.gate_proj:  88%|████████▊ | 32294/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.112.up_proj:  88%|████████▊ | 32295/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.112.down_proj:  88%|████████▊ | 32296/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.113.gate_proj:  88%|████████▊ | 32297/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.113.up_proj:  88%|████████▊ | 32298/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.113.down_proj:  88%|████████▊ | 32299/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.114.gate_proj:  88%|████████▊ | 32300/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.114.up_proj:  88%|████████▊ | 32301/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.114.down_proj:  88%|████████▊ | 32302/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.115.gate_proj:  88%|████████▊ | 32303/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.115.up_proj:  88%|████████▊ | 32304/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.115.down_proj:  88%|████████▊ | 32305/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.116.gate_proj:  88%|████████▊ | 32306/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.116.up_proj:  88%|████████▊ | 32307/36566 [00:28<00:03, 1165.07it/s]  
packing model.layers.82.mlp.experts.116.down_proj:  88%|████████▊ | 32308/36566 [00:28<00:03, 1165.07it/s]
packing model.layers.82.mlp.experts.116.down_proj:  88%|████████▊ | 32309/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.117.gate_proj:  88%|████████▊ | 32309/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.117.up_proj:  88%|████████▊ | 32310/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.82.mlp.experts.117.down_proj:  88%|████████▊ | 32311/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.118.gate_proj:  88%|████████▊ | 32312/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.118.up_proj:  88%|████████▊ | 32313/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.82.mlp.experts.118.down_proj:  88%|████████▊ | 32314/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.119.gate_proj:  88%|████████▊ | 32315/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.119.up_proj:  88%|████████▊ | 32316/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.82.mlp.experts.119.down_proj:  88%|████████▊ | 32317/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.120.gate_proj:  88%|████████▊ | 32318/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.120.up_proj:  88%|████████▊ | 32319/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.82.mlp.experts.120.down_proj:  88%|████████▊ | 32320/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.121.gate_proj:  88%|████████▊ | 32321/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.121.up_proj:  88%|████████▊ | 32322/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.82.mlp.experts.121.down_proj:  88%|████████▊ | 32323/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.122.gate_proj:  88%|████████▊ | 32324/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.122.up_proj:  88%|████████▊ | 32325/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.82.mlp.experts.122.down_proj:  88%|████████▊ | 32326/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.123.gate_proj:  88%|████████▊ | 32327/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.123.up_proj:  88%|████████▊ | 32328/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.82.mlp.experts.123.down_proj:  88%|████████▊ | 32329/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.124.gate_proj:  88%|████████▊ | 32330/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.124.up_proj:  88%|████████▊ | 32331/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.82.mlp.experts.124.down_proj:  88%|████████▊ | 32332/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.125.gate_proj:  88%|████████▊ | 32333/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.125.up_proj:  88%|████████▊ | 32334/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.82.mlp.experts.125.down_proj:  88%|████████▊ | 32335/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.126.gate_proj:  88%|████████▊ | 32336/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.126.up_proj:  88%|████████▊ | 32337/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.82.mlp.experts.126.down_proj:  88%|████████▊ | 32338/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.127.gate_proj:  88%|████████▊ | 32339/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.82.mlp.experts.127.up_proj:  88%|████████▊ | 32340/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.82.mlp.experts.127.down_proj:  88%|████████▊ | 32341/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.0.gate_proj:  88%|████████▊ | 32342/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.0.up_proj:  88%|████████▊ | 32343/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.0.down_proj:  88%|████████▊ | 32344/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.1.gate_proj:  88%|████████▊ | 32345/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.1.up_proj:  88%|████████▊ | 32346/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.1.down_proj:  88%|████████▊ | 32347/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.2.gate_proj:  88%|████████▊ | 32348/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.2.up_proj:  88%|████████▊ | 32349/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.2.down_proj:  88%|████████▊ | 32350/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.3.gate_proj:  88%|████████▊ | 32351/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.3.up_proj:  88%|████████▊ | 32352/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.3.down_proj:  88%|████████▊ | 32353/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.4.gate_proj:  88%|████████▊ | 32354/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.4.up_proj:  88%|████████▊ | 32355/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.4.down_proj:  88%|████████▊ | 32356/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.5.gate_proj:  88%|████████▊ | 32357/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.5.up_proj:  88%|████████▊ | 32358/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.5.down_proj:  88%|████████▊ | 32359/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.6.gate_proj:  88%|████████▊ | 32360/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.6.up_proj:  89%|████████▊ | 32361/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.6.down_proj:  89%|████████▊ | 32362/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.7.gate_proj:  89%|████████▊ | 32363/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.7.up_proj:  89%|████████▊ | 32364/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.7.down_proj:  89%|████████▊ | 32365/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.8.gate_proj:  89%|████████▊ | 32366/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.8.up_proj:  89%|████████▊ | 32367/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.8.down_proj:  89%|████████▊ | 32368/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.9.gate_proj:  89%|████████▊ | 32369/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.9.up_proj:  89%|████████▊ | 32370/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.9.down_proj:  89%|████████▊ | 32371/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.10.gate_proj:  89%|████████▊ | 32372/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.10.up_proj:  89%|████████▊ | 32373/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.10.down_proj:  89%|████████▊ | 32374/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.11.gate_proj:  89%|████████▊ | 32375/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.11.up_proj:  89%|████████▊ | 32376/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.11.down_proj:  89%|████████▊ | 32377/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.12.gate_proj:  89%|████████▊ | 32378/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.12.up_proj:  89%|████████▊ | 32379/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.12.down_proj:  89%|████████▊ | 32380/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.13.gate_proj:  89%|████████▊ | 32381/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.13.up_proj:  89%|████████▊ | 32382/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.13.down_proj:  89%|████████▊ | 32383/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.14.gate_proj:  89%|████████▊ | 32384/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.14.up_proj:  89%|████████▊ | 32385/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.14.down_proj:  89%|████████▊ | 32386/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.15.gate_proj:  89%|████████▊ | 32387/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.15.up_proj:  89%|████████▊ | 32388/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.15.down_proj:  89%|████████▊ | 32389/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.16.gate_proj:  89%|████████▊ | 32390/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.16.up_proj:  89%|████████▊ | 32391/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.16.down_proj:  89%|████████▊ | 32392/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.17.gate_proj:  89%|████████▊ | 32393/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.17.up_proj:  89%|████████▊ | 32394/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.17.down_proj:  89%|████████▊ | 32395/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.18.gate_proj:  89%|████████▊ | 32396/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.18.up_proj:  89%|████████▊ | 32397/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.18.down_proj:  89%|████████▊ | 32398/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.19.gate_proj:  89%|████████▊ | 32399/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.19.up_proj:  89%|████████▊ | 32400/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.19.down_proj:  89%|████████▊ | 32401/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.20.gate_proj:  89%|████████▊ | 32402/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.20.up_proj:  89%|████████▊ | 32403/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.20.down_proj:  89%|████████▊ | 32404/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.21.gate_proj:  89%|████████▊ | 32405/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.21.up_proj:  89%|████████▊ | 32406/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.21.down_proj:  89%|████████▊ | 32407/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.22.gate_proj:  89%|████████▊ | 32408/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.22.up_proj:  89%|████████▊ | 32409/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.22.down_proj:  89%|████████▊ | 32410/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.23.gate_proj:  89%|████████▊ | 32411/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.23.up_proj:  89%|████████▊ | 32412/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.23.down_proj:  89%|████████▊ | 32413/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.24.gate_proj:  89%|████████▊ | 32414/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.24.up_proj:  89%|████████▊ | 32415/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.24.down_proj:  89%|████████▊ | 32416/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.25.gate_proj:  89%|████████▊ | 32417/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.25.up_proj:  89%|████████▊ | 32418/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.25.down_proj:  89%|████████▊ | 32419/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.26.gate_proj:  89%|████████▊ | 32420/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.26.up_proj:  89%|████████▊ | 32421/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.26.down_proj:  89%|████████▊ | 32422/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.27.gate_proj:  89%|████████▊ | 32423/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.27.up_proj:  89%|████████▊ | 32424/36566 [00:28<00:03, 1169.04it/s]  
packing model.layers.83.mlp.experts.27.down_proj:  89%|████████▊ | 32425/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.28.gate_proj:  89%|████████▊ | 32426/36566 [00:28<00:03, 1169.04it/s]
packing model.layers.83.mlp.experts.28.gate_proj:  89%|████████▊ | 32427/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.28.up_proj:  89%|████████▊ | 32427/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.28.down_proj:  89%|████████▊ | 32428/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.29.gate_proj:  89%|████████▊ | 32429/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.29.up_proj:  89%|████████▊ | 32430/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.29.down_proj:  89%|████████▊ | 32431/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.30.gate_proj:  89%|████████▊ | 32432/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.30.up_proj:  89%|████████▊ | 32433/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.30.down_proj:  89%|████████▊ | 32434/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.31.gate_proj:  89%|████████▊ | 32435/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.31.up_proj:  89%|████████▊ | 32436/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.31.down_proj:  89%|████████▊ | 32437/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.32.gate_proj:  89%|████████▊ | 32438/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.32.up_proj:  89%|████████▊ | 32439/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.32.down_proj:  89%|████████▊ | 32440/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.33.gate_proj:  89%|████████▊ | 32441/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.33.up_proj:  89%|████████▊ | 32442/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.33.down_proj:  89%|████████▊ | 32443/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.34.gate_proj:  89%|████████▊ | 32444/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.34.up_proj:  89%|████████▊ | 32445/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.34.down_proj:  89%|████████▊ | 32446/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.35.gate_proj:  89%|████████▊ | 32447/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.35.up_proj:  89%|████████▊ | 32448/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.35.down_proj:  89%|████████▊ | 32449/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.36.gate_proj:  89%|████████▊ | 32450/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.36.up_proj:  89%|████████▊ | 32451/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.36.down_proj:  89%|████████▊ | 32452/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.37.gate_proj:  89%|████████▉ | 32453/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.37.up_proj:  89%|████████▉ | 32454/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.37.down_proj:  89%|████████▉ | 32455/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.38.gate_proj:  89%|████████▉ | 32456/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.38.up_proj:  89%|████████▉ | 32457/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.38.down_proj:  89%|████████▉ | 32458/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.39.gate_proj:  89%|████████▉ | 32459/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.39.up_proj:  89%|████████▉ | 32460/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.39.down_proj:  89%|████████▉ | 32461/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.40.gate_proj:  89%|████████▉ | 32462/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.40.up_proj:  89%|████████▉ | 32463/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.40.down_proj:  89%|████████▉ | 32464/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.41.gate_proj:  89%|████████▉ | 32465/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.41.up_proj:  89%|████████▉ | 32466/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.41.down_proj:  89%|████████▉ | 32467/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.42.gate_proj:  89%|████████▉ | 32468/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.42.up_proj:  89%|████████▉ | 32469/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.42.down_proj:  89%|████████▉ | 32470/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.43.gate_proj:  89%|████████▉ | 32471/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.43.up_proj:  89%|████████▉ | 32472/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.43.down_proj:  89%|████████▉ | 32473/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.44.gate_proj:  89%|████████▉ | 32474/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.44.up_proj:  89%|████████▉ | 32475/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.44.down_proj:  89%|████████▉ | 32476/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.45.gate_proj:  89%|████████▉ | 32477/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.45.up_proj:  89%|████████▉ | 32478/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.45.down_proj:  89%|████████▉ | 32479/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.46.gate_proj:  89%|████████▉ | 32480/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.46.up_proj:  89%|████████▉ | 32481/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.46.down_proj:  89%|████████▉ | 32482/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.47.gate_proj:  89%|████████▉ | 32483/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.47.up_proj:  89%|████████▉ | 32484/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.47.down_proj:  89%|████████▉ | 32485/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.48.gate_proj:  89%|████████▉ | 32486/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.48.up_proj:  89%|████████▉ | 32487/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.48.down_proj:  89%|████████▉ | 32488/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.49.gate_proj:  89%|████████▉ | 32489/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.49.up_proj:  89%|████████▉ | 32490/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.49.down_proj:  89%|████████▉ | 32491/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.50.gate_proj:  89%|████████▉ | 32492/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.50.up_proj:  89%|████████▉ | 32493/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.50.down_proj:  89%|████████▉ | 32494/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.51.gate_proj:  89%|████████▉ | 32495/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.51.up_proj:  89%|████████▉ | 32496/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.51.down_proj:  89%|████████▉ | 32497/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.52.gate_proj:  89%|████████▉ | 32498/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.52.up_proj:  89%|████████▉ | 32499/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.52.down_proj:  89%|████████▉ | 32500/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.53.gate_proj:  89%|████████▉ | 32501/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.53.up_proj:  89%|████████▉ | 32502/36566 [00:28<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.53.down_proj:  89%|████████▉ | 32503/36566 [00:28<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.54.gate_proj:  89%|████████▉ | 32504/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.54.up_proj:  89%|████████▉ | 32505/36566 [00:29<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.54.down_proj:  89%|████████▉ | 32506/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.55.gate_proj:  89%|████████▉ | 32507/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.55.up_proj:  89%|████████▉ | 32508/36566 [00:29<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.55.down_proj:  89%|████████▉ | 32509/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.56.gate_proj:  89%|████████▉ | 32510/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.56.up_proj:  89%|████████▉ | 32511/36566 [00:29<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.56.down_proj:  89%|████████▉ | 32512/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.57.gate_proj:  89%|████████▉ | 32513/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.57.up_proj:  89%|████████▉ | 32514/36566 [00:29<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.57.down_proj:  89%|████████▉ | 32515/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.58.gate_proj:  89%|████████▉ | 32516/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.58.up_proj:  89%|████████▉ | 32517/36566 [00:29<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.58.down_proj:  89%|████████▉ | 32518/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.59.gate_proj:  89%|████████▉ | 32519/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.59.up_proj:  89%|████████▉ | 32520/36566 [00:29<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.59.down_proj:  89%|████████▉ | 32521/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.60.gate_proj:  89%|████████▉ | 32522/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.60.up_proj:  89%|████████▉ | 32523/36566 [00:29<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.60.down_proj:  89%|████████▉ | 32524/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.61.gate_proj:  89%|████████▉ | 32525/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.61.up_proj:  89%|████████▉ | 32526/36566 [00:29<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.61.down_proj:  89%|████████▉ | 32527/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.62.gate_proj:  89%|████████▉ | 32528/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.62.up_proj:  89%|████████▉ | 32529/36566 [00:29<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.62.down_proj:  89%|████████▉ | 32530/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.63.gate_proj:  89%|████████▉ | 32531/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.63.up_proj:  89%|████████▉ | 32532/36566 [00:29<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.63.down_proj:  89%|████████▉ | 32533/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.64.gate_proj:  89%|████████▉ | 32534/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.64.up_proj:  89%|████████▉ | 32535/36566 [00:29<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.64.down_proj:  89%|████████▉ | 32536/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.65.gate_proj:  89%|████████▉ | 32537/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.65.up_proj:  89%|████████▉ | 32538/36566 [00:29<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.65.down_proj:  89%|████████▉ | 32539/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.66.gate_proj:  89%|████████▉ | 32540/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.66.up_proj:  89%|████████▉ | 32541/36566 [00:29<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.66.down_proj:  89%|████████▉ | 32542/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.67.gate_proj:  89%|████████▉ | 32543/36566 [00:29<00:03, 1170.44it/s]
packing model.layers.83.mlp.experts.67.up_proj:  89%|████████▉ | 32544/36566 [00:29<00:03, 1170.44it/s]  
packing model.layers.83.mlp.experts.67.up_proj:  89%|████████▉ | 32545/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.67.down_proj:  89%|████████▉ | 32545/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.68.gate_proj:  89%|████████▉ | 32546/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.68.up_proj:  89%|████████▉ | 32547/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.68.down_proj:  89%|████████▉ | 32548/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.69.gate_proj:  89%|████████▉ | 32549/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.69.up_proj:  89%|████████▉ | 32550/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.69.down_proj:  89%|████████▉ | 32551/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.70.gate_proj:  89%|████████▉ | 32552/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.70.up_proj:  89%|████████▉ | 32553/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.70.down_proj:  89%|████████▉ | 32554/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.71.gate_proj:  89%|████████▉ | 32555/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.71.up_proj:  89%|████████▉ | 32556/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.71.down_proj:  89%|████████▉ | 32557/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.72.gate_proj:  89%|████████▉ | 32558/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.72.up_proj:  89%|████████▉ | 32559/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.72.down_proj:  89%|████████▉ | 32560/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.73.gate_proj:  89%|████████▉ | 32561/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.73.up_proj:  89%|████████▉ | 32562/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.73.down_proj:  89%|████████▉ | 32563/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.74.gate_proj:  89%|████████▉ | 32564/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.74.up_proj:  89%|████████▉ | 32565/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.74.down_proj:  89%|████████▉ | 32566/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.75.gate_proj:  89%|████████▉ | 32567/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.75.up_proj:  89%|████████▉ | 32568/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.75.down_proj:  89%|████████▉ | 32569/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.76.gate_proj:  89%|████████▉ | 32570/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.76.up_proj:  89%|████████▉ | 32571/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.76.down_proj:  89%|████████▉ | 32572/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.77.gate_proj:  89%|████████▉ | 32573/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.77.up_proj:  89%|████████▉ | 32574/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.77.down_proj:  89%|████████▉ | 32575/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.78.gate_proj:  89%|████████▉ | 32576/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.78.up_proj:  89%|████████▉ | 32577/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.78.down_proj:  89%|████████▉ | 32578/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.79.gate_proj:  89%|████████▉ | 32579/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.79.up_proj:  89%|████████▉ | 32580/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.79.down_proj:  89%|████████▉ | 32581/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.80.gate_proj:  89%|████████▉ | 32582/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.80.up_proj:  89%|████████▉ | 32583/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.80.down_proj:  89%|████████▉ | 32584/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.81.gate_proj:  89%|████████▉ | 32585/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.81.up_proj:  89%|████████▉ | 32586/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.81.down_proj:  89%|████████▉ | 32587/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.82.gate_proj:  89%|████████▉ | 32588/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.82.up_proj:  89%|████████▉ | 32589/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.82.down_proj:  89%|████████▉ | 32590/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.83.gate_proj:  89%|████████▉ | 32591/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.83.up_proj:  89%|████████▉ | 32592/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.83.down_proj:  89%|████████▉ | 32593/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.84.gate_proj:  89%|████████▉ | 32594/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.84.up_proj:  89%|████████▉ | 32595/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.84.down_proj:  89%|████████▉ | 32596/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.85.gate_proj:  89%|████████▉ | 32597/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.85.up_proj:  89%|████████▉ | 32598/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.85.down_proj:  89%|████████▉ | 32599/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.86.gate_proj:  89%|████████▉ | 32600/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.86.up_proj:  89%|████████▉ | 32601/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.86.down_proj:  89%|████████▉ | 32602/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.87.gate_proj:  89%|████████▉ | 32603/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.87.up_proj:  89%|████████▉ | 32604/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.87.down_proj:  89%|████████▉ | 32605/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.88.gate_proj:  89%|████████▉ | 32606/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.88.up_proj:  89%|████████▉ | 32607/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.88.down_proj:  89%|████████▉ | 32608/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.89.gate_proj:  89%|████████▉ | 32609/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.89.up_proj:  89%|████████▉ | 32610/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.89.down_proj:  89%|████████▉ | 32611/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.90.gate_proj:  89%|████████▉ | 32612/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.90.up_proj:  89%|████████▉ | 32613/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.90.down_proj:  89%|████████▉ | 32614/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.91.gate_proj:  89%|████████▉ | 32615/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.91.up_proj:  89%|████████▉ | 32616/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.91.down_proj:  89%|████████▉ | 32617/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.92.gate_proj:  89%|████████▉ | 32618/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.92.up_proj:  89%|████████▉ | 32619/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.92.down_proj:  89%|████████▉ | 32620/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.93.gate_proj:  89%|████████▉ | 32621/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.93.up_proj:  89%|████████▉ | 32622/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.93.down_proj:  89%|████████▉ | 32623/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.94.gate_proj:  89%|████████▉ | 32624/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.94.up_proj:  89%|████████▉ | 32625/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.94.down_proj:  89%|████████▉ | 32626/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.95.gate_proj:  89%|████████▉ | 32627/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.95.up_proj:  89%|████████▉ | 32628/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.95.down_proj:  89%|████████▉ | 32629/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.96.gate_proj:  89%|████████▉ | 32630/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.96.up_proj:  89%|████████▉ | 32631/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.96.down_proj:  89%|████████▉ | 32632/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.97.gate_proj:  89%|████████▉ | 32633/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.97.up_proj:  89%|████████▉ | 32634/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.97.down_proj:  89%|████████▉ | 32635/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.98.gate_proj:  89%|████████▉ | 32636/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.98.up_proj:  89%|████████▉ | 32637/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.98.down_proj:  89%|████████▉ | 32638/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.99.gate_proj:  89%|████████▉ | 32639/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.99.up_proj:  89%|████████▉ | 32640/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.99.down_proj:  89%|████████▉ | 32641/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.100.gate_proj:  89%|████████▉ | 32642/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.100.up_proj:  89%|████████▉ | 32643/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.100.down_proj:  89%|████████▉ | 32644/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.101.gate_proj:  89%|████████▉ | 32645/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.101.up_proj:  89%|████████▉ | 32646/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.101.down_proj:  89%|████████▉ | 32647/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.102.gate_proj:  89%|████████▉ | 32648/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.102.up_proj:  89%|████████▉ | 32649/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.102.down_proj:  89%|████████▉ | 32650/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.103.gate_proj:  89%|████████▉ | 32651/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.103.up_proj:  89%|████████▉ | 32652/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.103.down_proj:  89%|████████▉ | 32653/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.104.gate_proj:  89%|████████▉ | 32654/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.104.up_proj:  89%|████████▉ | 32655/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.104.down_proj:  89%|████████▉ | 32656/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.105.gate_proj:  89%|████████▉ | 32657/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.105.up_proj:  89%|████████▉ | 32658/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.105.down_proj:  89%|████████▉ | 32659/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.106.gate_proj:  89%|████████▉ | 32660/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.106.up_proj:  89%|████████▉ | 32661/36566 [00:29<00:03, 1171.88it/s]  
packing model.layers.83.mlp.experts.106.down_proj:  89%|████████▉ | 32662/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.107.gate_proj:  89%|████████▉ | 32663/36566 [00:29<00:03, 1171.88it/s]
packing model.layers.83.mlp.experts.107.gate_proj:  89%|████████▉ | 32664/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.107.up_proj:  89%|████████▉ | 32664/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.107.down_proj:  89%|████████▉ | 32665/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.108.gate_proj:  89%|████████▉ | 32666/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.108.up_proj:  89%|████████▉ | 32667/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.108.down_proj:  89%|████████▉ | 32668/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.109.gate_proj:  89%|████████▉ | 32669/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.109.up_proj:  89%|████████▉ | 32670/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.109.down_proj:  89%|████████▉ | 32671/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.110.gate_proj:  89%|████████▉ | 32672/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.110.up_proj:  89%|████████▉ | 32673/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.110.down_proj:  89%|████████▉ | 32674/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.111.gate_proj:  89%|████████▉ | 32675/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.111.up_proj:  89%|████████▉ | 32676/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.111.down_proj:  89%|████████▉ | 32677/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.112.gate_proj:  89%|████████▉ | 32678/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.112.up_proj:  89%|████████▉ | 32679/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.112.down_proj:  89%|████████▉ | 32680/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.113.gate_proj:  89%|████████▉ | 32681/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.113.up_proj:  89%|████████▉ | 32682/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.113.down_proj:  89%|████████▉ | 32683/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.114.gate_proj:  89%|████████▉ | 32684/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.114.up_proj:  89%|████████▉ | 32685/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.114.down_proj:  89%|████████▉ | 32686/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.115.gate_proj:  89%|████████▉ | 32687/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.115.up_proj:  89%|████████▉ | 32688/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.115.down_proj:  89%|████████▉ | 32689/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.116.gate_proj:  89%|████████▉ | 32690/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.116.up_proj:  89%|████████▉ | 32691/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.116.down_proj:  89%|████████▉ | 32692/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.117.gate_proj:  89%|████████▉ | 32693/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.117.up_proj:  89%|████████▉ | 32694/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.117.down_proj:  89%|████████▉ | 32695/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.118.gate_proj:  89%|████████▉ | 32696/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.118.up_proj:  89%|████████▉ | 32697/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.118.down_proj:  89%|████████▉ | 32698/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.119.gate_proj:  89%|████████▉ | 32699/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.119.up_proj:  89%|████████▉ | 32700/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.119.down_proj:  89%|████████▉ | 32701/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.120.gate_proj:  89%|████████▉ | 32702/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.120.up_proj:  89%|████████▉ | 32703/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.120.down_proj:  89%|████████▉ | 32704/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.121.gate_proj:  89%|████████▉ | 32705/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.121.up_proj:  89%|████████▉ | 32706/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.121.down_proj:  89%|████████▉ | 32707/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.122.gate_proj:  89%|████████▉ | 32708/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.122.up_proj:  89%|████████▉ | 32709/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.122.down_proj:  89%|████████▉ | 32710/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.123.gate_proj:  89%|████████▉ | 32711/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.123.up_proj:  89%|████████▉ | 32712/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.123.down_proj:  89%|████████▉ | 32713/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.124.gate_proj:  89%|████████▉ | 32714/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.124.up_proj:  89%|████████▉ | 32715/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.124.down_proj:  89%|████████▉ | 32716/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.125.gate_proj:  89%|████████▉ | 32717/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.125.up_proj:  89%|████████▉ | 32718/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.125.down_proj:  89%|████████▉ | 32719/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.126.gate_proj:  89%|████████▉ | 32720/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.126.up_proj:  89%|████████▉ | 32721/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.126.down_proj:  89%|████████▉ | 32722/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.127.gate_proj:  89%|████████▉ | 32723/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.83.mlp.experts.127.up_proj:  89%|████████▉ | 32724/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.83.mlp.experts.127.down_proj:  89%|████████▉ | 32725/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.0.gate_proj:  89%|████████▉ | 32726/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.0.up_proj:  90%|████████▉ | 32727/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.0.down_proj:  90%|████████▉ | 32728/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.1.gate_proj:  90%|████████▉ | 32729/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.1.up_proj:  90%|████████▉ | 32730/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.1.down_proj:  90%|████████▉ | 32731/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.2.gate_proj:  90%|████████▉ | 32732/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.2.up_proj:  90%|████████▉ | 32733/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.2.down_proj:  90%|████████▉ | 32734/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.3.gate_proj:  90%|████████▉ | 32735/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.3.up_proj:  90%|████████▉ | 32736/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.3.down_proj:  90%|████████▉ | 32737/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.4.gate_proj:  90%|████████▉ | 32738/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.4.up_proj:  90%|████████▉ | 32739/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.4.down_proj:  90%|████████▉ | 32740/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.5.gate_proj:  90%|████████▉ | 32741/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.5.up_proj:  90%|████████▉ | 32742/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.5.down_proj:  90%|████████▉ | 32743/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.6.gate_proj:  90%|████████▉ | 32744/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.6.up_proj:  90%|████████▉ | 32745/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.6.down_proj:  90%|████████▉ | 32746/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.7.gate_proj:  90%|████████▉ | 32747/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.7.up_proj:  90%|████████▉ | 32748/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.7.down_proj:  90%|████████▉ | 32749/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.8.gate_proj:  90%|████████▉ | 32750/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.8.up_proj:  90%|████████▉ | 32751/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.8.down_proj:  90%|████████▉ | 32752/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.9.gate_proj:  90%|████████▉ | 32753/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.9.up_proj:  90%|████████▉ | 32754/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.9.down_proj:  90%|████████▉ | 32755/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.10.gate_proj:  90%|████████▉ | 32756/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.10.up_proj:  90%|████████▉ | 32757/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.10.down_proj:  90%|████████▉ | 32758/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.11.gate_proj:  90%|████████▉ | 32759/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.11.up_proj:  90%|████████▉ | 32760/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.11.down_proj:  90%|████████▉ | 32761/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.12.gate_proj:  90%|████████▉ | 32762/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.12.up_proj:  90%|████████▉ | 32763/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.12.down_proj:  90%|████████▉ | 32764/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.13.gate_proj:  90%|████████▉ | 32765/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.13.up_proj:  90%|████████▉ | 32766/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.13.down_proj:  90%|████████▉ | 32767/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.14.gate_proj:  90%|████████▉ | 32768/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.14.up_proj:  90%|████████▉ | 32769/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.14.down_proj:  90%|████████▉ | 32770/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.15.gate_proj:  90%|████████▉ | 32771/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.15.up_proj:  90%|████████▉ | 32772/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.15.down_proj:  90%|████████▉ | 32773/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.16.gate_proj:  90%|████████▉ | 32774/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.16.up_proj:  90%|████████▉ | 32775/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.16.down_proj:  90%|████████▉ | 32776/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.17.gate_proj:  90%|████████▉ | 32777/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.17.up_proj:  90%|████████▉ | 32778/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.17.down_proj:  90%|████████▉ | 32779/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.18.gate_proj:  90%|████████▉ | 32780/36566 [00:29<00:03, 1175.11it/s]
packing model.layers.84.mlp.experts.18.up_proj:  90%|████████▉ | 32781/36566 [00:29<00:03, 1175.11it/s]  
packing model.layers.84.mlp.experts.18.up_proj:  90%|████████▉ | 32782/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.18.down_proj:  90%|████████▉ | 32782/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.19.gate_proj:  90%|████████▉ | 32783/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.19.up_proj:  90%|████████▉ | 32784/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.19.down_proj:  90%|████████▉ | 32785/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.20.gate_proj:  90%|████████▉ | 32786/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.20.up_proj:  90%|████████▉ | 32787/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.20.down_proj:  90%|████████▉ | 32788/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.21.gate_proj:  90%|████████▉ | 32789/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.21.up_proj:  90%|████████▉ | 32790/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.21.down_proj:  90%|████████▉ | 32791/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.22.gate_proj:  90%|████████▉ | 32792/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.22.up_proj:  90%|████████▉ | 32793/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.22.down_proj:  90%|████████▉ | 32794/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.23.gate_proj:  90%|████████▉ | 32795/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.23.up_proj:  90%|████████▉ | 32796/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.23.down_proj:  90%|████████▉ | 32797/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.24.gate_proj:  90%|████████▉ | 32798/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.24.up_proj:  90%|████████▉ | 32799/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.24.down_proj:  90%|████████▉ | 32800/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.25.gate_proj:  90%|████████▉ | 32801/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.25.up_proj:  90%|████████▉ | 32802/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.25.down_proj:  90%|████████▉ | 32803/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.26.gate_proj:  90%|████████▉ | 32804/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.26.up_proj:  90%|████████▉ | 32805/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.26.down_proj:  90%|████████▉ | 32806/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.27.gate_proj:  90%|████████▉ | 32807/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.27.up_proj:  90%|████████▉ | 32808/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.27.down_proj:  90%|████████▉ | 32809/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.28.gate_proj:  90%|████████▉ | 32810/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.28.up_proj:  90%|████████▉ | 32811/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.28.down_proj:  90%|████████▉ | 32812/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.29.gate_proj:  90%|████████▉ | 32813/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.29.up_proj:  90%|████████▉ | 32814/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.29.down_proj:  90%|████████▉ | 32815/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.30.gate_proj:  90%|████████▉ | 32816/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.30.up_proj:  90%|████████▉ | 32817/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.30.down_proj:  90%|████████▉ | 32818/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.31.gate_proj:  90%|████████▉ | 32819/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.31.up_proj:  90%|████████▉ | 32820/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.31.down_proj:  90%|████████▉ | 32821/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.32.gate_proj:  90%|████████▉ | 32822/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.32.up_proj:  90%|████████▉ | 32823/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.32.down_proj:  90%|████████▉ | 32824/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.33.gate_proj:  90%|████████▉ | 32825/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.33.up_proj:  90%|████████▉ | 32826/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.33.down_proj:  90%|████████▉ | 32827/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.34.gate_proj:  90%|████████▉ | 32828/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.34.up_proj:  90%|████████▉ | 32829/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.34.down_proj:  90%|████████▉ | 32830/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.35.gate_proj:  90%|████████▉ | 32831/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.35.up_proj:  90%|████████▉ | 32832/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.35.down_proj:  90%|████████▉ | 32833/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.36.gate_proj:  90%|████████▉ | 32834/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.36.up_proj:  90%|████████▉ | 32835/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.36.down_proj:  90%|████████▉ | 32836/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.37.gate_proj:  90%|████████▉ | 32837/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.37.up_proj:  90%|████████▉ | 32838/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.37.down_proj:  90%|████████▉ | 32839/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.38.gate_proj:  90%|████████▉ | 32840/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.38.up_proj:  90%|████████▉ | 32841/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.38.down_proj:  90%|████████▉ | 32842/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.39.gate_proj:  90%|████████▉ | 32843/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.39.up_proj:  90%|████████▉ | 32844/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.39.down_proj:  90%|████████▉ | 32845/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.40.gate_proj:  90%|████████▉ | 32846/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.40.up_proj:  90%|████████▉ | 32847/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.40.down_proj:  90%|████████▉ | 32848/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.41.gate_proj:  90%|████████▉ | 32849/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.41.up_proj:  90%|████████▉ | 32850/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.41.down_proj:  90%|████████▉ | 32851/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.42.gate_proj:  90%|████████▉ | 32852/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.42.up_proj:  90%|████████▉ | 32853/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.42.down_proj:  90%|████████▉ | 32854/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.43.gate_proj:  90%|████████▉ | 32855/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.43.up_proj:  90%|████████▉ | 32856/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.43.down_proj:  90%|████████▉ | 32857/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.44.gate_proj:  90%|████████▉ | 32858/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.44.up_proj:  90%|████████▉ | 32859/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.44.down_proj:  90%|████████▉ | 32860/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.45.gate_proj:  90%|████████▉ | 32861/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.45.up_proj:  90%|████████▉ | 32862/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.45.down_proj:  90%|████████▉ | 32863/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.46.gate_proj:  90%|████████▉ | 32864/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.46.up_proj:  90%|████████▉ | 32865/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.46.down_proj:  90%|████████▉ | 32866/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.47.gate_proj:  90%|████████▉ | 32867/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.47.up_proj:  90%|████████▉ | 32868/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.47.down_proj:  90%|████████▉ | 32869/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.48.gate_proj:  90%|████████▉ | 32870/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.48.up_proj:  90%|████████▉ | 32871/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.48.down_proj:  90%|████████▉ | 32872/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.49.gate_proj:  90%|████████▉ | 32873/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.49.up_proj:  90%|████████▉ | 32874/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.49.down_proj:  90%|████████▉ | 32875/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.50.gate_proj:  90%|████████▉ | 32876/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.50.up_proj:  90%|████████▉ | 32877/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.50.down_proj:  90%|████████▉ | 32878/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.51.gate_proj:  90%|████████▉ | 32879/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.51.up_proj:  90%|████████▉ | 32880/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.51.down_proj:  90%|████████▉ | 32881/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.52.gate_proj:  90%|████████▉ | 32882/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.52.up_proj:  90%|████████▉ | 32883/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.52.down_proj:  90%|████████▉ | 32884/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.53.gate_proj:  90%|████████▉ | 32885/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.53.up_proj:  90%|████████▉ | 32886/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.53.down_proj:  90%|████████▉ | 32887/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.54.gate_proj:  90%|████████▉ | 32888/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.54.up_proj:  90%|████████▉ | 32889/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.54.down_proj:  90%|████████▉ | 32890/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.55.gate_proj:  90%|████████▉ | 32891/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.55.up_proj:  90%|████████▉ | 32892/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.55.down_proj:  90%|████████▉ | 32893/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.56.gate_proj:  90%|████████▉ | 32894/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.56.up_proj:  90%|████████▉ | 32895/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.56.down_proj:  90%|████████▉ | 32896/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.57.gate_proj:  90%|████████▉ | 32897/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.57.up_proj:  90%|████████▉ | 32898/36566 [00:29<00:03, 1173.83it/s]  
packing model.layers.84.mlp.experts.57.down_proj:  90%|████████▉ | 32899/36566 [00:29<00:03, 1173.83it/s]
packing model.layers.84.mlp.experts.57.down_proj:  90%|████████▉ | 32900/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.58.gate_proj:  90%|████████▉ | 32900/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.58.up_proj:  90%|████████▉ | 32901/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.58.down_proj:  90%|████████▉ | 32902/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.59.gate_proj:  90%|████████▉ | 32903/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.59.up_proj:  90%|████████▉ | 32904/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.59.down_proj:  90%|████████▉ | 32905/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.60.gate_proj:  90%|████████▉ | 32906/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.60.up_proj:  90%|████████▉ | 32907/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.60.down_proj:  90%|████████▉ | 32908/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.61.gate_proj:  90%|████████▉ | 32909/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.61.up_proj:  90%|█████████ | 32910/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.61.down_proj:  90%|█████████ | 32911/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.62.gate_proj:  90%|█████████ | 32912/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.62.up_proj:  90%|█████████ | 32913/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.62.down_proj:  90%|█████████ | 32914/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.63.gate_proj:  90%|█████████ | 32915/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.63.up_proj:  90%|█████████ | 32916/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.63.down_proj:  90%|█████████ | 32917/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.64.gate_proj:  90%|█████████ | 32918/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.64.up_proj:  90%|█████████ | 32919/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.64.down_proj:  90%|█████████ | 32920/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.65.gate_proj:  90%|█████████ | 32921/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.65.up_proj:  90%|█████████ | 32922/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.65.down_proj:  90%|█████████ | 32923/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.66.gate_proj:  90%|█████████ | 32924/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.66.up_proj:  90%|█████████ | 32925/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.66.down_proj:  90%|█████████ | 32926/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.67.gate_proj:  90%|█████████ | 32927/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.67.up_proj:  90%|█████████ | 32928/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.67.down_proj:  90%|█████████ | 32929/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.68.gate_proj:  90%|█████████ | 32930/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.68.up_proj:  90%|█████████ | 32931/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.68.down_proj:  90%|█████████ | 32932/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.69.gate_proj:  90%|█████████ | 32933/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.69.up_proj:  90%|█████████ | 32934/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.69.down_proj:  90%|█████████ | 32935/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.70.gate_proj:  90%|█████████ | 32936/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.70.up_proj:  90%|█████████ | 32937/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.70.down_proj:  90%|█████████ | 32938/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.71.gate_proj:  90%|█████████ | 32939/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.71.up_proj:  90%|█████████ | 32940/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.71.down_proj:  90%|█████████ | 32941/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.72.gate_proj:  90%|█████████ | 32942/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.72.up_proj:  90%|█████████ | 32943/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.72.down_proj:  90%|█████████ | 32944/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.73.gate_proj:  90%|█████████ | 32945/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.73.up_proj:  90%|█████████ | 32946/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.73.down_proj:  90%|█████████ | 32947/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.74.gate_proj:  90%|█████████ | 32948/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.74.up_proj:  90%|█████████ | 32949/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.74.down_proj:  90%|█████████ | 32950/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.75.gate_proj:  90%|█████████ | 32951/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.75.up_proj:  90%|█████████ | 32952/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.75.down_proj:  90%|█████████ | 32953/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.76.gate_proj:  90%|█████████ | 32954/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.76.up_proj:  90%|█████████ | 32955/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.76.down_proj:  90%|█████████ | 32956/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.77.gate_proj:  90%|█████████ | 32957/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.77.up_proj:  90%|█████████ | 32958/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.77.down_proj:  90%|█████████ | 32959/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.78.gate_proj:  90%|█████████ | 32960/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.78.up_proj:  90%|█████████ | 32961/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.78.down_proj:  90%|█████████ | 32962/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.79.gate_proj:  90%|█████████ | 32963/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.79.up_proj:  90%|█████████ | 32964/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.79.down_proj:  90%|█████████ | 32965/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.80.gate_proj:  90%|█████████ | 32966/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.80.up_proj:  90%|█████████ | 32967/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.80.down_proj:  90%|█████████ | 32968/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.81.gate_proj:  90%|█████████ | 32969/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.81.up_proj:  90%|█████████ | 32970/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.81.down_proj:  90%|█████████ | 32971/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.82.gate_proj:  90%|█████████ | 32972/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.82.up_proj:  90%|█████████ | 32973/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.82.down_proj:  90%|█████████ | 32974/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.83.gate_proj:  90%|█████████ | 32975/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.83.up_proj:  90%|█████████ | 32976/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.83.down_proj:  90%|█████████ | 32977/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.84.gate_proj:  90%|█████████ | 32978/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.84.up_proj:  90%|█████████ | 32979/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.84.down_proj:  90%|█████████ | 32980/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.85.gate_proj:  90%|█████████ | 32981/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.85.up_proj:  90%|█████████ | 32982/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.85.down_proj:  90%|█████████ | 32983/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.86.gate_proj:  90%|█████████ | 32984/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.86.up_proj:  90%|█████████ | 32985/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.86.down_proj:  90%|█████████ | 32986/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.87.gate_proj:  90%|█████████ | 32987/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.87.up_proj:  90%|█████████ | 32988/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.87.down_proj:  90%|█████████ | 32989/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.88.gate_proj:  90%|█████████ | 32990/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.88.up_proj:  90%|█████████ | 32991/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.88.down_proj:  90%|█████████ | 32992/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.89.gate_proj:  90%|█████████ | 32993/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.89.up_proj:  90%|█████████ | 32994/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.89.down_proj:  90%|█████████ | 32995/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.90.gate_proj:  90%|█████████ | 32996/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.90.up_proj:  90%|█████████ | 32997/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.90.down_proj:  90%|█████████ | 32998/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.91.gate_proj:  90%|█████████ | 32999/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.91.up_proj:  90%|█████████ | 33000/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.91.down_proj:  90%|█████████ | 33001/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.92.gate_proj:  90%|█████████ | 33002/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.92.up_proj:  90%|█████████ | 33003/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.92.down_proj:  90%|█████████ | 33004/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.93.gate_proj:  90%|█████████ | 33005/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.93.up_proj:  90%|█████████ | 33006/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.93.down_proj:  90%|█████████ | 33007/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.94.gate_proj:  90%|█████████ | 33008/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.94.up_proj:  90%|█████████ | 33009/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.94.down_proj:  90%|█████████ | 33010/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.95.gate_proj:  90%|█████████ | 33011/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.95.up_proj:  90%|█████████ | 33012/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.95.down_proj:  90%|█████████ | 33013/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.96.gate_proj:  90%|█████████ | 33014/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.96.up_proj:  90%|█████████ | 33015/36566 [00:29<00:03, 1175.42it/s]  
packing model.layers.84.mlp.experts.96.down_proj:  90%|█████████ | 33016/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.97.gate_proj:  90%|█████████ | 33017/36566 [00:29<00:03, 1175.42it/s]
packing model.layers.84.mlp.experts.97.gate_proj:  90%|█████████ | 33018/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.97.up_proj:  90%|█████████ | 33018/36566 [00:29<00:03, 1174.57it/s]  
packing model.layers.84.mlp.experts.97.down_proj:  90%|█████████ | 33019/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.98.gate_proj:  90%|█████████ | 33020/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.98.up_proj:  90%|█████████ | 33021/36566 [00:29<00:03, 1174.57it/s]  
packing model.layers.84.mlp.experts.98.down_proj:  90%|█████████ | 33022/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.99.gate_proj:  90%|█████████ | 33023/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.99.up_proj:  90%|█████████ | 33024/36566 [00:29<00:03, 1174.57it/s]  
packing model.layers.84.mlp.experts.99.down_proj:  90%|█████████ | 33025/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.100.gate_proj:  90%|█████████ | 33026/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.100.up_proj:  90%|█████████ | 33027/36566 [00:29<00:03, 1174.57it/s]  
packing model.layers.84.mlp.experts.100.down_proj:  90%|█████████ | 33028/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.101.gate_proj:  90%|█████████ | 33029/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.101.up_proj:  90%|█████████ | 33030/36566 [00:29<00:03, 1174.57it/s]  
packing model.layers.84.mlp.experts.101.down_proj:  90%|█████████ | 33031/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.102.gate_proj:  90%|█████████ | 33032/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.102.up_proj:  90%|█████████ | 33033/36566 [00:29<00:03, 1174.57it/s]  
packing model.layers.84.mlp.experts.102.down_proj:  90%|█████████ | 33034/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.103.gate_proj:  90%|█████████ | 33035/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.103.up_proj:  90%|█████████ | 33036/36566 [00:29<00:03, 1174.57it/s]  
packing model.layers.84.mlp.experts.103.down_proj:  90%|█████████ | 33037/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.104.gate_proj:  90%|█████████ | 33038/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.104.up_proj:  90%|█████████ | 33039/36566 [00:29<00:03, 1174.57it/s]  
packing model.layers.84.mlp.experts.104.down_proj:  90%|█████████ | 33040/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.105.gate_proj:  90%|█████████ | 33041/36566 [00:29<00:03, 1174.57it/s]
packing model.layers.84.mlp.experts.105.up_proj:  90%|█████████ | 33042/36566 [00:29<00:03, 1174.57it/s]  
packing model.layers.84.mlp.experts.105.down_proj:  90%|█████████ | 33043/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.106.gate_proj:  90%|█████████ | 33044/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.106.up_proj:  90%|█████████ | 33045/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.106.down_proj:  90%|█████████ | 33046/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.107.gate_proj:  90%|█████████ | 33047/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.107.up_proj:  90%|█████████ | 33048/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.107.down_proj:  90%|█████████ | 33049/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.108.gate_proj:  90%|█████████ | 33050/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.108.up_proj:  90%|█████████ | 33051/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.108.down_proj:  90%|█████████ | 33052/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.109.gate_proj:  90%|█████████ | 33053/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.109.up_proj:  90%|█████████ | 33054/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.109.down_proj:  90%|█████████ | 33055/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.110.gate_proj:  90%|█████████ | 33056/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.110.up_proj:  90%|█████████ | 33057/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.110.down_proj:  90%|█████████ | 33058/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.111.gate_proj:  90%|█████████ | 33059/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.111.up_proj:  90%|█████████ | 33060/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.111.down_proj:  90%|█████████ | 33061/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.112.gate_proj:  90%|█████████ | 33062/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.112.up_proj:  90%|█████████ | 33063/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.112.down_proj:  90%|█████████ | 33064/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.113.gate_proj:  90%|█████████ | 33065/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.113.up_proj:  90%|█████████ | 33066/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.113.down_proj:  90%|█████████ | 33067/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.114.gate_proj:  90%|█████████ | 33068/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.114.up_proj:  90%|█████████ | 33069/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.114.down_proj:  90%|█████████ | 33070/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.115.gate_proj:  90%|█████████ | 33071/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.115.up_proj:  90%|█████████ | 33072/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.115.down_proj:  90%|█████████ | 33073/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.116.gate_proj:  90%|█████████ | 33074/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.116.up_proj:  90%|█████████ | 33075/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.116.down_proj:  90%|█████████ | 33076/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.117.gate_proj:  90%|█████████ | 33077/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.117.up_proj:  90%|█████████ | 33078/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.117.down_proj:  90%|█████████ | 33079/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.118.gate_proj:  90%|█████████ | 33080/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.118.up_proj:  90%|█████████ | 33081/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.118.down_proj:  90%|█████████ | 33082/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.119.gate_proj:  90%|█████████ | 33083/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.119.up_proj:  90%|█████████ | 33084/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.119.down_proj:  90%|█████████ | 33085/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.120.gate_proj:  90%|█████████ | 33086/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.120.up_proj:  90%|█████████ | 33087/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.120.down_proj:  90%|█████████ | 33088/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.121.gate_proj:  90%|█████████ | 33089/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.121.up_proj:  90%|█████████ | 33090/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.121.down_proj:  90%|█████████ | 33091/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.122.gate_proj:  90%|█████████ | 33092/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.122.up_proj:  91%|█████████ | 33093/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.122.down_proj:  91%|█████████ | 33094/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.123.gate_proj:  91%|█████████ | 33095/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.123.up_proj:  91%|█████████ | 33096/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.123.down_proj:  91%|█████████ | 33097/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.124.gate_proj:  91%|█████████ | 33098/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.124.up_proj:  91%|█████████ | 33099/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.124.down_proj:  91%|█████████ | 33100/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.125.gate_proj:  91%|█████████ | 33101/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.125.up_proj:  91%|█████████ | 33102/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.125.down_proj:  91%|█████████ | 33103/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.126.gate_proj:  91%|█████████ | 33104/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.126.up_proj:  91%|█████████ | 33105/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.126.down_proj:  91%|█████████ | 33106/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.127.gate_proj:  91%|█████████ | 33107/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.84.mlp.experts.127.up_proj:  91%|█████████ | 33108/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.84.mlp.experts.127.down_proj:  91%|█████████ | 33109/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.0.gate_proj:  91%|█████████ | 33110/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.85.mlp.experts.0.up_proj:  91%|█████████ | 33111/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.85.mlp.experts.0.down_proj:  91%|█████████ | 33112/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.1.gate_proj:  91%|█████████ | 33113/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.1.up_proj:  91%|█████████ | 33114/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.85.mlp.experts.1.down_proj:  91%|█████████ | 33115/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.2.gate_proj:  91%|█████████ | 33116/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.2.up_proj:  91%|█████████ | 33117/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.85.mlp.experts.2.down_proj:  91%|█████████ | 33118/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.3.gate_proj:  91%|█████████ | 33119/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.3.up_proj:  91%|█████████ | 33120/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.85.mlp.experts.3.down_proj:  91%|█████████ | 33121/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.4.gate_proj:  91%|█████████ | 33122/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.4.up_proj:  91%|█████████ | 33123/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.85.mlp.experts.4.down_proj:  91%|█████████ | 33124/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.5.gate_proj:  91%|█████████ | 33125/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.5.up_proj:  91%|█████████ | 33126/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.85.mlp.experts.5.down_proj:  91%|█████████ | 33127/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.6.gate_proj:  91%|█████████ | 33128/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.6.up_proj:  91%|█████████ | 33129/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.85.mlp.experts.6.down_proj:  91%|█████████ | 33130/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.7.gate_proj:  91%|█████████ | 33131/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.7.up_proj:  91%|█████████ | 33132/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.85.mlp.experts.7.down_proj:  91%|█████████ | 33133/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.8.gate_proj:  91%|█████████ | 33134/36566 [00:29<00:02, 1174.57it/s]
packing model.layers.85.mlp.experts.8.up_proj:  91%|█████████ | 33135/36566 [00:29<00:02, 1174.57it/s]  
packing model.layers.85.mlp.experts.8.up_proj:  91%|█████████ | 33136/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.8.down_proj:  91%|█████████ | 33136/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.9.gate_proj:  91%|█████████ | 33137/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.9.up_proj:  91%|█████████ | 33138/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.9.down_proj:  91%|█████████ | 33139/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.10.gate_proj:  91%|█████████ | 33140/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.10.up_proj:  91%|█████████ | 33141/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.10.down_proj:  91%|█████████ | 33142/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.11.gate_proj:  91%|█████████ | 33143/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.11.up_proj:  91%|█████████ | 33144/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.11.down_proj:  91%|█████████ | 33145/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.12.gate_proj:  91%|█████████ | 33146/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.12.up_proj:  91%|█████████ | 33147/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.12.down_proj:  91%|█████████ | 33148/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.13.gate_proj:  91%|█████████ | 33149/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.13.up_proj:  91%|█████████ | 33150/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.13.down_proj:  91%|█████████ | 33151/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.14.gate_proj:  91%|█████████ | 33152/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.14.up_proj:  91%|█████████ | 33153/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.14.down_proj:  91%|█████████ | 33154/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.15.gate_proj:  91%|█████████ | 33155/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.15.up_proj:  91%|█████████ | 33156/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.15.down_proj:  91%|█████████ | 33157/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.16.gate_proj:  91%|█████████ | 33158/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.16.up_proj:  91%|█████████ | 33159/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.16.down_proj:  91%|█████████ | 33160/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.17.gate_proj:  91%|█████████ | 33161/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.17.up_proj:  91%|█████████ | 33162/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.17.down_proj:  91%|█████████ | 33163/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.18.gate_proj:  91%|█████████ | 33164/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.18.up_proj:  91%|█████████ | 33165/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.18.down_proj:  91%|█████████ | 33166/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.19.gate_proj:  91%|█████████ | 33167/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.19.up_proj:  91%|█████████ | 33168/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.19.down_proj:  91%|█████████ | 33169/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.20.gate_proj:  91%|█████████ | 33170/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.20.up_proj:  91%|█████████ | 33171/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.20.down_proj:  91%|█████████ | 33172/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.21.gate_proj:  91%|█████████ | 33173/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.21.up_proj:  91%|█████████ | 33174/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.21.down_proj:  91%|█████████ | 33175/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.22.gate_proj:  91%|█████████ | 33176/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.22.up_proj:  91%|█████████ | 33177/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.22.down_proj:  91%|█████████ | 33178/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.23.gate_proj:  91%|█████████ | 33179/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.23.up_proj:  91%|█████████ | 33180/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.23.down_proj:  91%|█████████ | 33181/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.24.gate_proj:  91%|█████████ | 33182/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.24.up_proj:  91%|█████████ | 33183/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.24.down_proj:  91%|█████████ | 33184/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.25.gate_proj:  91%|█████████ | 33185/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.25.up_proj:  91%|█████████ | 33186/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.25.down_proj:  91%|█████████ | 33187/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.26.gate_proj:  91%|█████████ | 33188/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.26.up_proj:  91%|█████████ | 33189/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.26.down_proj:  91%|█████████ | 33190/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.27.gate_proj:  91%|█████████ | 33191/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.27.up_proj:  91%|█████████ | 33192/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.27.down_proj:  91%|█████████ | 33193/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.28.gate_proj:  91%|█████████ | 33194/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.28.up_proj:  91%|█████████ | 33195/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.28.down_proj:  91%|█████████ | 33196/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.29.gate_proj:  91%|█████████ | 33197/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.29.up_proj:  91%|█████████ | 33198/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.29.down_proj:  91%|█████████ | 33199/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.30.gate_proj:  91%|█████████ | 33200/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.30.up_proj:  91%|█████████ | 33201/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.30.down_proj:  91%|█████████ | 33202/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.31.gate_proj:  91%|█████████ | 33203/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.31.up_proj:  91%|█████████ | 33204/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.31.down_proj:  91%|█████████ | 33205/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.32.gate_proj:  91%|█████████ | 33206/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.32.up_proj:  91%|█████████ | 33207/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.32.down_proj:  91%|█████████ | 33208/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.33.gate_proj:  91%|█████████ | 33209/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.33.up_proj:  91%|█████████ | 33210/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.33.down_proj:  91%|█████████ | 33211/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.34.gate_proj:  91%|█████████ | 33212/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.34.up_proj:  91%|█████████ | 33213/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.34.down_proj:  91%|█████████ | 33214/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.35.gate_proj:  91%|█████████ | 33215/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.35.up_proj:  91%|█████████ | 33216/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.35.down_proj:  91%|█████████ | 33217/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.36.gate_proj:  91%|█████████ | 33218/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.36.up_proj:  91%|█████████ | 33219/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.36.down_proj:  91%|█████████ | 33220/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.37.gate_proj:  91%|█████████ | 33221/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.37.up_proj:  91%|█████████ | 33222/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.37.down_proj:  91%|█████████ | 33223/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.38.gate_proj:  91%|█████████ | 33224/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.38.up_proj:  91%|█████████ | 33225/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.38.down_proj:  91%|█████████ | 33226/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.39.gate_proj:  91%|█████████ | 33227/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.39.up_proj:  91%|█████████ | 33228/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.39.down_proj:  91%|█████████ | 33229/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.40.gate_proj:  91%|█████████ | 33230/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.40.up_proj:  91%|█████████ | 33231/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.40.down_proj:  91%|█████████ | 33232/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.41.gate_proj:  91%|█████████ | 33233/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.41.up_proj:  91%|█████████ | 33234/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.41.down_proj:  91%|█████████ | 33235/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.42.gate_proj:  91%|█████████ | 33236/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.42.up_proj:  91%|█████████ | 33237/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.42.down_proj:  91%|█████████ | 33238/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.43.gate_proj:  91%|█████████ | 33239/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.43.up_proj:  91%|█████████ | 33240/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.43.down_proj:  91%|█████████ | 33241/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.44.gate_proj:  91%|█████████ | 33242/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.44.up_proj:  91%|█████████ | 33243/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.44.down_proj:  91%|█████████ | 33244/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.45.gate_proj:  91%|█████████ | 33245/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.45.up_proj:  91%|█████████ | 33246/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.45.down_proj:  91%|█████████ | 33247/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.46.gate_proj:  91%|█████████ | 33248/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.46.up_proj:  91%|█████████ | 33249/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.46.down_proj:  91%|█████████ | 33250/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.47.gate_proj:  91%|█████████ | 33251/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.47.up_proj:  91%|█████████ | 33252/36566 [00:29<00:02, 1172.14it/s]  
packing model.layers.85.mlp.experts.47.down_proj:  91%|█████████ | 33253/36566 [00:29<00:02, 1172.14it/s]
packing model.layers.85.mlp.experts.47.down_proj:  91%|█████████ | 33254/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.48.gate_proj:  91%|█████████ | 33254/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.48.up_proj:  91%|█████████ | 33255/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.48.down_proj:  91%|█████████ | 33256/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.49.gate_proj:  91%|█████████ | 33257/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.49.up_proj:  91%|█████████ | 33258/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.49.down_proj:  91%|█████████ | 33259/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.50.gate_proj:  91%|█████████ | 33260/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.50.up_proj:  91%|█████████ | 33261/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.50.down_proj:  91%|█████████ | 33262/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.51.gate_proj:  91%|█████████ | 33263/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.51.up_proj:  91%|█████████ | 33264/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.51.down_proj:  91%|█████████ | 33265/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.52.gate_proj:  91%|█████████ | 33266/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.52.up_proj:  91%|█████████ | 33267/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.52.down_proj:  91%|█████████ | 33268/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.53.gate_proj:  91%|█████████ | 33269/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.53.up_proj:  91%|█████████ | 33270/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.53.down_proj:  91%|█████████ | 33271/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.54.gate_proj:  91%|█████████ | 33272/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.54.up_proj:  91%|█████████ | 33273/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.54.down_proj:  91%|█████████ | 33274/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.55.gate_proj:  91%|█████████ | 33275/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.55.up_proj:  91%|█████████ | 33276/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.55.down_proj:  91%|█████████ | 33277/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.56.gate_proj:  91%|█████████ | 33278/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.56.up_proj:  91%|█████████ | 33279/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.56.down_proj:  91%|█████████ | 33280/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.57.gate_proj:  91%|█████████ | 33281/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.57.up_proj:  91%|█████████ | 33282/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.57.down_proj:  91%|█████████ | 33283/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.58.gate_proj:  91%|█████████ | 33284/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.58.up_proj:  91%|█████████ | 33285/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.58.down_proj:  91%|█████████ | 33286/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.59.gate_proj:  91%|█████████ | 33287/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.59.up_proj:  91%|█████████ | 33288/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.59.down_proj:  91%|█████████ | 33289/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.60.gate_proj:  91%|█████████ | 33290/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.60.up_proj:  91%|█████████ | 33291/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.60.down_proj:  91%|█████████ | 33292/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.61.gate_proj:  91%|█████████ | 33293/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.61.up_proj:  91%|█████████ | 33294/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.61.down_proj:  91%|█████████ | 33295/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.62.gate_proj:  91%|█████████ | 33296/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.62.up_proj:  91%|█████████ | 33297/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.62.down_proj:  91%|█████████ | 33298/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.63.gate_proj:  91%|█████████ | 33299/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.63.up_proj:  91%|█████████ | 33300/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.63.down_proj:  91%|█████████ | 33301/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.64.gate_proj:  91%|█████████ | 33302/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.64.up_proj:  91%|█████████ | 33303/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.64.down_proj:  91%|█████████ | 33304/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.65.gate_proj:  91%|█████████ | 33305/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.65.up_proj:  91%|█████████ | 33306/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.65.down_proj:  91%|█████████ | 33307/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.66.gate_proj:  91%|█████████ | 33308/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.66.up_proj:  91%|█████████ | 33309/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.66.down_proj:  91%|█████████ | 33310/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.67.gate_proj:  91%|█████████ | 33311/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.67.up_proj:  91%|█████████ | 33312/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.67.down_proj:  91%|█████████ | 33313/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.68.gate_proj:  91%|█████████ | 33314/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.68.up_proj:  91%|█████████ | 33315/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.68.down_proj:  91%|█████████ | 33316/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.69.gate_proj:  91%|█████████ | 33317/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.69.up_proj:  91%|█████████ | 33318/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.69.down_proj:  91%|█████████ | 33319/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.70.gate_proj:  91%|█████████ | 33320/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.70.up_proj:  91%|█████████ | 33321/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.70.down_proj:  91%|█████████ | 33322/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.71.gate_proj:  91%|█████████ | 33323/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.71.up_proj:  91%|█████████ | 33324/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.71.down_proj:  91%|█████████ | 33325/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.72.gate_proj:  91%|█████████ | 33326/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.72.up_proj:  91%|█████████ | 33327/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.72.down_proj:  91%|█████████ | 33328/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.73.gate_proj:  91%|█████████ | 33329/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.73.up_proj:  91%|█████████ | 33330/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.73.down_proj:  91%|█████████ | 33331/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.74.gate_proj:  91%|█████████ | 33332/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.74.up_proj:  91%|█████████ | 33333/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.74.down_proj:  91%|█████████ | 33334/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.75.gate_proj:  91%|█████████ | 33335/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.75.up_proj:  91%|█████████ | 33336/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.75.down_proj:  91%|█████████ | 33337/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.76.gate_proj:  91%|█████████ | 33338/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.76.up_proj:  91%|█████████ | 33339/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.76.down_proj:  91%|█████████ | 33340/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.77.gate_proj:  91%|█████████ | 33341/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.77.up_proj:  91%|█████████ | 33342/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.77.down_proj:  91%|█████████ | 33343/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.78.gate_proj:  91%|█████████ | 33344/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.78.up_proj:  91%|█████████ | 33345/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.78.down_proj:  91%|█████████ | 33346/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.79.gate_proj:  91%|█████████ | 33347/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.79.up_proj:  91%|█████████ | 33348/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.79.down_proj:  91%|█████████ | 33349/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.80.gate_proj:  91%|█████████ | 33350/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.80.up_proj:  91%|█████████ | 33351/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.80.down_proj:  91%|█████████ | 33352/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.81.gate_proj:  91%|█████████ | 33353/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.81.up_proj:  91%|█████████ | 33354/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.81.down_proj:  91%|█████████ | 33355/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.82.gate_proj:  91%|█████████ | 33356/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.82.up_proj:  91%|█████████ | 33357/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.82.down_proj:  91%|█████████ | 33358/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.83.gate_proj:  91%|█████████ | 33359/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.83.up_proj:  91%|█████████ | 33360/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.83.down_proj:  91%|█████████ | 33361/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.84.gate_proj:  91%|█████████ | 33362/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.84.up_proj:  91%|█████████ | 33363/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.84.down_proj:  91%|█████████ | 33364/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.85.gate_proj:  91%|█████████ | 33365/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.85.up_proj:  91%|█████████ | 33366/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.85.down_proj:  91%|█████████▏| 33367/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.86.gate_proj:  91%|█████████▏| 33368/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.86.up_proj:  91%|█████████▏| 33369/36566 [00:29<00:02, 1172.84it/s]  
packing model.layers.85.mlp.experts.86.down_proj:  91%|█████████▏| 33370/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.87.gate_proj:  91%|█████████▏| 33371/36566 [00:29<00:02, 1172.84it/s]
packing model.layers.85.mlp.experts.87.gate_proj:  91%|█████████▏| 33372/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.87.up_proj:  91%|█████████▏| 33372/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.87.down_proj:  91%|█████████▏| 33373/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.88.gate_proj:  91%|█████████▏| 33374/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.88.up_proj:  91%|█████████▏| 33375/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.88.down_proj:  91%|█████████▏| 33376/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.89.gate_proj:  91%|█████████▏| 33377/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.89.up_proj:  91%|█████████▏| 33378/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.89.down_proj:  91%|█████████▏| 33379/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.90.gate_proj:  91%|█████████▏| 33380/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.90.up_proj:  91%|█████████▏| 33381/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.90.down_proj:  91%|█████████▏| 33382/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.91.gate_proj:  91%|█████████▏| 33383/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.91.up_proj:  91%|█████████▏| 33384/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.91.down_proj:  91%|█████████▏| 33385/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.92.gate_proj:  91%|█████████▏| 33386/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.92.up_proj:  91%|█████████▏| 33387/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.92.down_proj:  91%|█████████▏| 33388/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.93.gate_proj:  91%|█████████▏| 33389/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.93.up_proj:  91%|█████████▏| 33390/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.93.down_proj:  91%|█████████▏| 33391/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.94.gate_proj:  91%|█████████▏| 33392/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.94.up_proj:  91%|█████████▏| 33393/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.94.down_proj:  91%|█████████▏| 33394/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.95.gate_proj:  91%|█████████▏| 33395/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.95.up_proj:  91%|█████████▏| 33396/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.95.down_proj:  91%|█████████▏| 33397/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.96.gate_proj:  91%|█████████▏| 33398/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.96.up_proj:  91%|█████████▏| 33399/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.96.down_proj:  91%|█████████▏| 33400/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.97.gate_proj:  91%|█████████▏| 33401/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.97.up_proj:  91%|█████████▏| 33402/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.97.down_proj:  91%|█████████▏| 33403/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.98.gate_proj:  91%|█████████▏| 33404/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.98.up_proj:  91%|█████████▏| 33405/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.98.down_proj:  91%|█████████▏| 33406/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.99.gate_proj:  91%|█████████▏| 33407/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.99.up_proj:  91%|█████████▏| 33408/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.99.down_proj:  91%|█████████▏| 33409/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.100.gate_proj:  91%|█████████▏| 33410/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.100.up_proj:  91%|█████████▏| 33411/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.100.down_proj:  91%|█████████▏| 33412/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.101.gate_proj:  91%|█████████▏| 33413/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.101.up_proj:  91%|█████████▏| 33414/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.101.down_proj:  91%|█████████▏| 33415/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.102.gate_proj:  91%|█████████▏| 33416/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.102.up_proj:  91%|█████████▏| 33417/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.102.down_proj:  91%|█████████▏| 33418/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.103.gate_proj:  91%|█████████▏| 33419/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.103.up_proj:  91%|█████████▏| 33420/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.103.down_proj:  91%|█████████▏| 33421/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.104.gate_proj:  91%|█████████▏| 33422/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.104.up_proj:  91%|█████████▏| 33423/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.104.down_proj:  91%|█████████▏| 33424/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.105.gate_proj:  91%|█████████▏| 33425/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.105.up_proj:  91%|█████████▏| 33426/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.105.down_proj:  91%|█████████▏| 33427/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.106.gate_proj:  91%|█████████▏| 33428/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.106.up_proj:  91%|█████████▏| 33429/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.106.down_proj:  91%|█████████▏| 33430/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.107.gate_proj:  91%|█████████▏| 33431/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.107.up_proj:  91%|█████████▏| 33432/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.107.down_proj:  91%|█████████▏| 33433/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.108.gate_proj:  91%|█████████▏| 33434/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.108.up_proj:  91%|█████████▏| 33435/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.108.down_proj:  91%|█████████▏| 33436/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.109.gate_proj:  91%|█████████▏| 33437/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.109.up_proj:  91%|█████████▏| 33438/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.109.down_proj:  91%|█████████▏| 33439/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.110.gate_proj:  91%|█████████▏| 33440/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.110.up_proj:  91%|█████████▏| 33441/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.110.down_proj:  91%|█████████▏| 33442/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.111.gate_proj:  91%|█████████▏| 33443/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.111.up_proj:  91%|█████████▏| 33444/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.111.down_proj:  91%|█████████▏| 33445/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.112.gate_proj:  91%|█████████▏| 33446/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.112.up_proj:  91%|█████████▏| 33447/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.112.down_proj:  91%|█████████▏| 33448/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.113.gate_proj:  91%|█████████▏| 33449/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.113.up_proj:  91%|█████████▏| 33450/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.113.down_proj:  91%|█████████▏| 33451/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.114.gate_proj:  91%|█████████▏| 33452/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.114.up_proj:  91%|█████████▏| 33453/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.114.down_proj:  91%|█████████▏| 33454/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.115.gate_proj:  91%|█████████▏| 33455/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.115.up_proj:  91%|█████████▏| 33456/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.115.down_proj:  91%|█████████▏| 33457/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.116.gate_proj:  92%|█████████▏| 33458/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.116.up_proj:  92%|█████████▏| 33459/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.116.down_proj:  92%|█████████▏| 33460/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.117.gate_proj:  92%|█████████▏| 33461/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.117.up_proj:  92%|█████████▏| 33462/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.117.down_proj:  92%|█████████▏| 33463/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.118.gate_proj:  92%|█████████▏| 33464/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.118.up_proj:  92%|█████████▏| 33465/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.118.down_proj:  92%|█████████▏| 33466/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.119.gate_proj:  92%|█████████▏| 33467/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.119.up_proj:  92%|█████████▏| 33468/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.119.down_proj:  92%|█████████▏| 33469/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.120.gate_proj:  92%|█████████▏| 33470/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.120.up_proj:  92%|█████████▏| 33471/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.120.down_proj:  92%|█████████▏| 33472/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.121.gate_proj:  92%|█████████▏| 33473/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.121.up_proj:  92%|█████████▏| 33474/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.121.down_proj:  92%|█████████▏| 33475/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.122.gate_proj:  92%|█████████▏| 33476/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.122.up_proj:  92%|█████████▏| 33477/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.122.down_proj:  92%|█████████▏| 33478/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.123.gate_proj:  92%|█████████▏| 33479/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.123.up_proj:  92%|█████████▏| 33480/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.123.down_proj:  92%|█████████▏| 33481/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.124.gate_proj:  92%|█████████▏| 33482/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.124.up_proj:  92%|█████████▏| 33483/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.124.down_proj:  92%|█████████▏| 33484/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.125.gate_proj:  92%|█████████▏| 33485/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.125.up_proj:  92%|█████████▏| 33486/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.125.down_proj:  92%|█████████▏| 33487/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.126.gate_proj:  92%|█████████▏| 33488/36566 [00:29<00:02, 1173.62it/s]
packing model.layers.85.mlp.experts.126.up_proj:  92%|█████████▏| 33489/36566 [00:29<00:02, 1173.62it/s]  
packing model.layers.85.mlp.experts.126.up_proj:  92%|█████████▏| 33490/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.85.mlp.experts.126.down_proj:  92%|█████████▏| 33490/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.85.mlp.experts.127.gate_proj:  92%|█████████▏| 33491/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.85.mlp.experts.127.up_proj:  92%|█████████▏| 33492/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.85.mlp.experts.127.down_proj:  92%|█████████▏| 33493/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.0.gate_proj:  92%|█████████▏| 33494/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.0.up_proj:  92%|█████████▏| 33495/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.0.down_proj:  92%|█████████▏| 33496/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.1.gate_proj:  92%|█████████▏| 33497/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.1.up_proj:  92%|█████████▏| 33498/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.1.down_proj:  92%|█████████▏| 33499/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.2.gate_proj:  92%|█████████▏| 33500/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.2.up_proj:  92%|█████████▏| 33501/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.2.down_proj:  92%|█████████▏| 33502/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.3.gate_proj:  92%|█████████▏| 33503/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.3.up_proj:  92%|█████████▏| 33504/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.3.down_proj:  92%|█████████▏| 33505/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.4.gate_proj:  92%|█████████▏| 33506/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.4.up_proj:  92%|█████████▏| 33507/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.4.down_proj:  92%|█████████▏| 33508/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.5.gate_proj:  92%|█████████▏| 33509/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.5.up_proj:  92%|█████████▏| 33510/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.5.down_proj:  92%|█████████▏| 33511/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.6.gate_proj:  92%|█████████▏| 33512/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.6.up_proj:  92%|█████████▏| 33513/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.6.down_proj:  92%|█████████▏| 33514/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.7.gate_proj:  92%|█████████▏| 33515/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.7.up_proj:  92%|█████████▏| 33516/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.7.down_proj:  92%|█████████▏| 33517/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.8.gate_proj:  92%|█████████▏| 33518/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.8.up_proj:  92%|█████████▏| 33519/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.8.down_proj:  92%|█████████▏| 33520/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.9.gate_proj:  92%|█████████▏| 33521/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.9.up_proj:  92%|█████████▏| 33522/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.9.down_proj:  92%|█████████▏| 33523/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.10.gate_proj:  92%|█████████▏| 33524/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.10.up_proj:  92%|█████████▏| 33525/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.10.down_proj:  92%|█████████▏| 33526/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.11.gate_proj:  92%|█████████▏| 33527/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.11.up_proj:  92%|█████████▏| 33528/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.11.down_proj:  92%|█████████▏| 33529/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.12.gate_proj:  92%|█████████▏| 33530/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.12.up_proj:  92%|█████████▏| 33531/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.12.down_proj:  92%|█████████▏| 33532/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.13.gate_proj:  92%|█████████▏| 33533/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.13.up_proj:  92%|█████████▏| 33534/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.13.down_proj:  92%|█████████▏| 33535/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.14.gate_proj:  92%|█████████▏| 33536/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.14.up_proj:  92%|█████████▏| 33537/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.14.down_proj:  92%|█████████▏| 33538/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.15.gate_proj:  92%|█████████▏| 33539/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.15.up_proj:  92%|█████████▏| 33540/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.15.down_proj:  92%|█████████▏| 33541/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.16.gate_proj:  92%|█████████▏| 33542/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.16.up_proj:  92%|█████████▏| 33543/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.16.down_proj:  92%|█████████▏| 33544/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.17.gate_proj:  92%|█████████▏| 33545/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.17.up_proj:  92%|█████████▏| 33546/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.17.down_proj:  92%|█████████▏| 33547/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.18.gate_proj:  92%|█████████▏| 33548/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.18.up_proj:  92%|█████████▏| 33549/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.18.down_proj:  92%|█████████▏| 33550/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.19.gate_proj:  92%|█████████▏| 33551/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.19.up_proj:  92%|█████████▏| 33552/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.19.down_proj:  92%|█████████▏| 33553/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.20.gate_proj:  92%|█████████▏| 33554/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.20.up_proj:  92%|█████████▏| 33555/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.20.down_proj:  92%|█████████▏| 33556/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.21.gate_proj:  92%|█████████▏| 33557/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.21.up_proj:  92%|█████████▏| 33558/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.21.down_proj:  92%|█████████▏| 33559/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.22.gate_proj:  92%|█████████▏| 33560/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.22.up_proj:  92%|█████████▏| 33561/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.22.down_proj:  92%|█████████▏| 33562/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.23.gate_proj:  92%|█████████▏| 33563/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.23.up_proj:  92%|█████████▏| 33564/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.23.down_proj:  92%|█████████▏| 33565/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.24.gate_proj:  92%|█████████▏| 33566/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.24.up_proj:  92%|█████████▏| 33567/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.24.down_proj:  92%|█████████▏| 33568/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.25.gate_proj:  92%|█████████▏| 33569/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.25.up_proj:  92%|█████████▏| 33570/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.25.down_proj:  92%|█████████▏| 33571/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.26.gate_proj:  92%|█████████▏| 33572/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.26.up_proj:  92%|█████████▏| 33573/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.26.down_proj:  92%|█████████▏| 33574/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.27.gate_proj:  92%|█████████▏| 33575/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.27.up_proj:  92%|█████████▏| 33576/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.27.down_proj:  92%|█████████▏| 33577/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.28.gate_proj:  92%|█████████▏| 33578/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.28.up_proj:  92%|█████████▏| 33579/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.28.down_proj:  92%|█████████▏| 33580/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.29.gate_proj:  92%|█████████▏| 33581/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.29.up_proj:  92%|█████████▏| 33582/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.29.down_proj:  92%|█████████▏| 33583/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.30.gate_proj:  92%|█████████▏| 33584/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.30.up_proj:  92%|█████████▏| 33585/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.30.down_proj:  92%|█████████▏| 33586/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.31.gate_proj:  92%|█████████▏| 33587/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.31.up_proj:  92%|█████████▏| 33588/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.31.down_proj:  92%|█████████▏| 33589/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.32.gate_proj:  92%|█████████▏| 33590/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.32.up_proj:  92%|█████████▏| 33591/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.32.down_proj:  92%|█████████▏| 33592/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.33.gate_proj:  92%|█████████▏| 33593/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.33.up_proj:  92%|█████████▏| 33594/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.33.down_proj:  92%|█████████▏| 33595/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.34.gate_proj:  92%|█████████▏| 33596/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.34.up_proj:  92%|█████████▏| 33597/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.34.down_proj:  92%|█████████▏| 33598/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.35.gate_proj:  92%|█████████▏| 33599/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.35.up_proj:  92%|█████████▏| 33600/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.35.down_proj:  92%|█████████▏| 33601/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.36.gate_proj:  92%|█████████▏| 33602/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.36.up_proj:  92%|█████████▏| 33603/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.36.down_proj:  92%|█████████▏| 33604/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.37.gate_proj:  92%|█████████▏| 33605/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.37.up_proj:  92%|█████████▏| 33606/36566 [00:29<00:02, 1172.28it/s]  
packing model.layers.86.mlp.experts.37.down_proj:  92%|█████████▏| 33607/36566 [00:29<00:02, 1172.28it/s]
packing model.layers.86.mlp.experts.37.down_proj:  92%|█████████▏| 33608/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.38.gate_proj:  92%|█████████▏| 33608/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.38.up_proj:  92%|█████████▏| 33609/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.38.down_proj:  92%|█████████▏| 33610/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.39.gate_proj:  92%|█████████▏| 33611/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.39.up_proj:  92%|█████████▏| 33612/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.39.down_proj:  92%|█████████▏| 33613/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.40.gate_proj:  92%|█████████▏| 33614/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.40.up_proj:  92%|█████████▏| 33615/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.40.down_proj:  92%|█████████▏| 33616/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.41.gate_proj:  92%|█████████▏| 33617/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.41.up_proj:  92%|█████████▏| 33618/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.41.down_proj:  92%|█████████▏| 33619/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.42.gate_proj:  92%|█████████▏| 33620/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.42.up_proj:  92%|█████████▏| 33621/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.42.down_proj:  92%|█████████▏| 33622/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.43.gate_proj:  92%|█████████▏| 33623/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.43.up_proj:  92%|█████████▏| 33624/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.43.down_proj:  92%|█████████▏| 33625/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.44.gate_proj:  92%|█████████▏| 33626/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.44.up_proj:  92%|█████████▏| 33627/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.44.down_proj:  92%|█████████▏| 33628/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.45.gate_proj:  92%|█████████▏| 33629/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.45.up_proj:  92%|█████████▏| 33630/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.45.down_proj:  92%|█████████▏| 33631/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.46.gate_proj:  92%|█████████▏| 33632/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.46.up_proj:  92%|█████████▏| 33633/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.46.down_proj:  92%|█████████▏| 33634/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.47.gate_proj:  92%|█████████▏| 33635/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.47.up_proj:  92%|█████████▏| 33636/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.47.down_proj:  92%|█████████▏| 33637/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.48.gate_proj:  92%|█████████▏| 33638/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.48.up_proj:  92%|█████████▏| 33639/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.48.down_proj:  92%|█████████▏| 33640/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.49.gate_proj:  92%|█████████▏| 33641/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.49.up_proj:  92%|█████████▏| 33642/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.49.down_proj:  92%|█████████▏| 33643/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.50.gate_proj:  92%|█████████▏| 33644/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.50.up_proj:  92%|█████████▏| 33645/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.50.down_proj:  92%|█████████▏| 33646/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.51.gate_proj:  92%|█████████▏| 33647/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.51.up_proj:  92%|█████████▏| 33648/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.51.down_proj:  92%|█████████▏| 33649/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.52.gate_proj:  92%|█████████▏| 33650/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.52.up_proj:  92%|█████████▏| 33651/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.52.down_proj:  92%|█████████▏| 33652/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.53.gate_proj:  92%|█████████▏| 33653/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.53.up_proj:  92%|█████████▏| 33654/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.53.down_proj:  92%|█████████▏| 33655/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.54.gate_proj:  92%|█████████▏| 33656/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.54.up_proj:  92%|█████████▏| 33657/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.54.down_proj:  92%|█████████▏| 33658/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.55.gate_proj:  92%|█████████▏| 33659/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.55.up_proj:  92%|█████████▏| 33660/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.55.down_proj:  92%|█████████▏| 33661/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.56.gate_proj:  92%|█████████▏| 33662/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.56.up_proj:  92%|█████████▏| 33663/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.56.down_proj:  92%|█████████▏| 33664/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.57.gate_proj:  92%|█████████▏| 33665/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.57.up_proj:  92%|█████████▏| 33666/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.57.down_proj:  92%|█████████▏| 33667/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.58.gate_proj:  92%|█████████▏| 33668/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.58.up_proj:  92%|█████████▏| 33669/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.58.down_proj:  92%|█████████▏| 33670/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.59.gate_proj:  92%|█████████▏| 33671/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.59.up_proj:  92%|█████████▏| 33672/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.59.down_proj:  92%|█████████▏| 33673/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.60.gate_proj:  92%|█████████▏| 33674/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.60.up_proj:  92%|█████████▏| 33675/36566 [00:29<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.60.down_proj:  92%|█████████▏| 33676/36566 [00:29<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.61.gate_proj:  92%|█████████▏| 33677/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.61.up_proj:  92%|█████████▏| 33678/36566 [00:30<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.61.down_proj:  92%|█████████▏| 33679/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.62.gate_proj:  92%|█████████▏| 33680/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.62.up_proj:  92%|█████████▏| 33681/36566 [00:30<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.62.down_proj:  92%|█████████▏| 33682/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.63.gate_proj:  92%|█████████▏| 33683/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.63.up_proj:  92%|█████████▏| 33684/36566 [00:30<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.63.down_proj:  92%|█████████▏| 33685/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.64.gate_proj:  92%|█████████▏| 33686/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.64.up_proj:  92%|█████████▏| 33687/36566 [00:30<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.64.down_proj:  92%|█████████▏| 33688/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.65.gate_proj:  92%|█████████▏| 33689/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.65.up_proj:  92%|█████████▏| 33690/36566 [00:30<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.65.down_proj:  92%|█████████▏| 33691/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.66.gate_proj:  92%|█████████▏| 33692/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.66.up_proj:  92%|█████████▏| 33693/36566 [00:30<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.66.down_proj:  92%|█████████▏| 33694/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.67.gate_proj:  92%|█████████▏| 33695/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.67.up_proj:  92%|█████████▏| 33696/36566 [00:30<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.67.down_proj:  92%|█████████▏| 33697/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.68.gate_proj:  92%|█████████▏| 33698/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.68.up_proj:  92%|█████████▏| 33699/36566 [00:30<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.68.down_proj:  92%|█████████▏| 33700/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.69.gate_proj:  92%|█████████▏| 33701/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.69.up_proj:  92%|█████████▏| 33702/36566 [00:30<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.69.down_proj:  92%|█████████▏| 33703/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.70.gate_proj:  92%|█████████▏| 33704/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.70.up_proj:  92%|█████████▏| 33705/36566 [00:30<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.70.down_proj:  92%|█████████▏| 33706/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.71.gate_proj:  92%|█████████▏| 33707/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.71.up_proj:  92%|█████████▏| 33708/36566 [00:30<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.71.down_proj:  92%|█████████▏| 33709/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.72.gate_proj:  92%|█████████▏| 33710/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.72.up_proj:  92%|█████████▏| 33711/36566 [00:30<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.72.down_proj:  92%|█████████▏| 33712/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.73.gate_proj:  92%|█████████▏| 33713/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.73.up_proj:  92%|█████████▏| 33714/36566 [00:30<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.73.down_proj:  92%|█████████▏| 33715/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.74.gate_proj:  92%|█████████▏| 33716/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.74.up_proj:  92%|█████████▏| 33717/36566 [00:30<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.74.down_proj:  92%|█████████▏| 33718/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.75.gate_proj:  92%|█████████▏| 33719/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.75.up_proj:  92%|█████████▏| 33720/36566 [00:30<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.75.down_proj:  92%|█████████▏| 33721/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.76.gate_proj:  92%|█████████▏| 33722/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.76.up_proj:  92%|█████████▏| 33723/36566 [00:30<00:02, 1171.36it/s]  
packing model.layers.86.mlp.experts.76.down_proj:  92%|█████████▏| 33724/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.77.gate_proj:  92%|█████████▏| 33725/36566 [00:30<00:02, 1171.36it/s]
packing model.layers.86.mlp.experts.77.gate_proj:  92%|█████████▏| 33726/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.77.up_proj:  92%|█████████▏| 33726/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.77.down_proj:  92%|█████████▏| 33727/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.78.gate_proj:  92%|█████████▏| 33728/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.78.up_proj:  92%|█████████▏| 33729/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.78.down_proj:  92%|█████████▏| 33730/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.79.gate_proj:  92%|█████████▏| 33731/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.79.up_proj:  92%|█████████▏| 33732/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.79.down_proj:  92%|█████████▏| 33733/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.80.gate_proj:  92%|█████████▏| 33734/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.80.up_proj:  92%|█████████▏| 33735/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.80.down_proj:  92%|█████████▏| 33736/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.81.gate_proj:  92%|█████████▏| 33737/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.81.up_proj:  92%|█████████▏| 33738/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.81.down_proj:  92%|█████████▏| 33739/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.82.gate_proj:  92%|█████████▏| 33740/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.82.up_proj:  92%|█████████▏| 33741/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.82.down_proj:  92%|█████████▏| 33742/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.83.gate_proj:  92%|█████████▏| 33743/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.83.up_proj:  92%|█████████▏| 33744/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.83.down_proj:  92%|█████████▏| 33745/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.84.gate_proj:  92%|█████████▏| 33746/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.84.up_proj:  92%|█████████▏| 33747/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.84.down_proj:  92%|█████████▏| 33748/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.85.gate_proj:  92%|█████████▏| 33749/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.85.up_proj:  92%|█████████▏| 33750/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.85.down_proj:  92%|█████████▏| 33751/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.86.gate_proj:  92%|█████████▏| 33752/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.86.up_proj:  92%|█████████▏| 33753/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.86.down_proj:  92%|█████████▏| 33754/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.87.gate_proj:  92%|█████████▏| 33755/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.87.up_proj:  92%|█████████▏| 33756/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.87.down_proj:  92%|█████████▏| 33757/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.88.gate_proj:  92%|█████████▏| 33758/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.88.up_proj:  92%|█████████▏| 33759/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.88.down_proj:  92%|█████████▏| 33760/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.89.gate_proj:  92%|█████████▏| 33761/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.89.up_proj:  92%|█████████▏| 33762/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.89.down_proj:  92%|█████████▏| 33763/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.90.gate_proj:  92%|█████████▏| 33764/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.90.up_proj:  92%|█████████▏| 33765/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.90.down_proj:  92%|█████████▏| 33766/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.91.gate_proj:  92%|█████████▏| 33767/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.91.up_proj:  92%|█████████▏| 33768/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.91.down_proj:  92%|█████████▏| 33769/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.92.gate_proj:  92%|█████████▏| 33770/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.92.up_proj:  92%|█████████▏| 33771/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.92.down_proj:  92%|█████████▏| 33772/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.93.gate_proj:  92%|█████████▏| 33773/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.93.up_proj:  92%|█████████▏| 33774/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.93.down_proj:  92%|█████████▏| 33775/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.94.gate_proj:  92%|█████████▏| 33776/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.94.up_proj:  92%|█████████▏| 33777/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.94.down_proj:  92%|█████████▏| 33778/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.95.gate_proj:  92%|█████████▏| 33779/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.95.up_proj:  92%|█████████▏| 33780/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.95.down_proj:  92%|█████████▏| 33781/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.96.gate_proj:  92%|█████████▏| 33782/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.96.up_proj:  92%|█████████▏| 33783/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.96.down_proj:  92%|█████████▏| 33784/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.97.gate_proj:  92%|█████████▏| 33785/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.97.up_proj:  92%|█████████▏| 33786/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.97.down_proj:  92%|█████████▏| 33787/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.98.gate_proj:  92%|█████████▏| 33788/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.98.up_proj:  92%|█████████▏| 33789/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.98.down_proj:  92%|█████████▏| 33790/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.99.gate_proj:  92%|█████████▏| 33791/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.99.up_proj:  92%|█████████▏| 33792/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.99.down_proj:  92%|█████████▏| 33793/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.100.gate_proj:  92%|█████████▏| 33794/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.100.up_proj:  92%|█████████▏| 33795/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.100.down_proj:  92%|█████████▏| 33796/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.101.gate_proj:  92%|█████████▏| 33797/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.101.up_proj:  92%|█████████▏| 33798/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.101.down_proj:  92%|█████████▏| 33799/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.102.gate_proj:  92%|█████████▏| 33800/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.102.up_proj:  92%|█████████▏| 33801/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.102.down_proj:  92%|█████████▏| 33802/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.103.gate_proj:  92%|█████████▏| 33803/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.103.up_proj:  92%|█████████▏| 33804/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.103.down_proj:  92%|█████████▏| 33805/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.104.gate_proj:  92%|█████████▏| 33806/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.104.up_proj:  92%|█████████▏| 33807/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.104.down_proj:  92%|█████████▏| 33808/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.105.gate_proj:  92%|█████████▏| 33809/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.105.up_proj:  92%|█████████▏| 33810/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.105.down_proj:  92%|█████████▏| 33811/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.106.gate_proj:  92%|█████████▏| 33812/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.106.up_proj:  92%|█████████▏| 33813/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.106.down_proj:  92%|█████████▏| 33814/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.107.gate_proj:  92%|█████████▏| 33815/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.107.up_proj:  92%|█████████▏| 33816/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.107.down_proj:  92%|█████████▏| 33817/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.108.gate_proj:  92%|█████████▏| 33818/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.108.up_proj:  92%|█████████▏| 33819/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.108.down_proj:  92%|█████████▏| 33820/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.109.gate_proj:  92%|█████████▏| 33821/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.109.up_proj:  92%|█████████▏| 33822/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.109.down_proj:  92%|█████████▏| 33823/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.110.gate_proj:  93%|█████████▎| 33824/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.110.up_proj:  93%|█████████▎| 33825/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.110.down_proj:  93%|█████████▎| 33826/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.111.gate_proj:  93%|█████████▎| 33827/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.111.up_proj:  93%|█████████▎| 33828/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.111.down_proj:  93%|█████████▎| 33829/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.112.gate_proj:  93%|█████████▎| 33830/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.112.up_proj:  93%|█████████▎| 33831/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.112.down_proj:  93%|█████████▎| 33832/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.113.gate_proj:  93%|█████████▎| 33833/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.113.up_proj:  93%|█████████▎| 33834/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.113.down_proj:  93%|█████████▎| 33835/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.114.gate_proj:  93%|█████████▎| 33836/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.114.up_proj:  93%|█████████▎| 33837/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.114.down_proj:  93%|█████████▎| 33838/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.115.gate_proj:  93%|█████████▎| 33839/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.115.up_proj:  93%|█████████▎| 33840/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.115.down_proj:  93%|█████████▎| 33841/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.116.gate_proj:  93%|█████████▎| 33842/36566 [00:30<00:02, 1171.37it/s]
packing model.layers.86.mlp.experts.116.up_proj:  93%|█████████▎| 33843/36566 [00:30<00:02, 1171.37it/s]  
packing model.layers.86.mlp.experts.116.up_proj:  93%|█████████▎| 33844/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.116.down_proj:  93%|█████████▎| 33844/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.117.gate_proj:  93%|█████████▎| 33845/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.117.up_proj:  93%|█████████▎| 33846/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.86.mlp.experts.117.down_proj:  93%|█████████▎| 33847/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.118.gate_proj:  93%|█████████▎| 33848/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.118.up_proj:  93%|█████████▎| 33849/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.86.mlp.experts.118.down_proj:  93%|█████████▎| 33850/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.119.gate_proj:  93%|█████████▎| 33851/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.119.up_proj:  93%|█████████▎| 33852/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.86.mlp.experts.119.down_proj:  93%|█████████▎| 33853/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.120.gate_proj:  93%|█████████▎| 33854/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.120.up_proj:  93%|█████████▎| 33855/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.86.mlp.experts.120.down_proj:  93%|█████████▎| 33856/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.121.gate_proj:  93%|█████████▎| 33857/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.121.up_proj:  93%|█████████▎| 33858/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.86.mlp.experts.121.down_proj:  93%|█████████▎| 33859/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.122.gate_proj:  93%|█████████▎| 33860/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.122.up_proj:  93%|█████████▎| 33861/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.86.mlp.experts.122.down_proj:  93%|█████████▎| 33862/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.123.gate_proj:  93%|█████████▎| 33863/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.123.up_proj:  93%|█████████▎| 33864/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.86.mlp.experts.123.down_proj:  93%|█████████▎| 33865/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.124.gate_proj:  93%|█████████▎| 33866/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.124.up_proj:  93%|█████████▎| 33867/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.86.mlp.experts.124.down_proj:  93%|█████████▎| 33868/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.125.gate_proj:  93%|█████████▎| 33869/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.125.up_proj:  93%|█████████▎| 33870/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.86.mlp.experts.125.down_proj:  93%|█████████▎| 33871/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.126.gate_proj:  93%|█████████▎| 33872/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.126.up_proj:  93%|█████████▎| 33873/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.86.mlp.experts.126.down_proj:  93%|█████████▎| 33874/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.127.gate_proj:  93%|█████████▎| 33875/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.86.mlp.experts.127.up_proj:  93%|█████████▎| 33876/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.86.mlp.experts.127.down_proj:  93%|█████████▎| 33877/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.0.gate_proj:  93%|█████████▎| 33878/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.0.up_proj:  93%|█████████▎| 33879/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.0.down_proj:  93%|█████████▎| 33880/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.1.gate_proj:  93%|█████████▎| 33881/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.1.up_proj:  93%|█████████▎| 33882/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.1.down_proj:  93%|█████████▎| 33883/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.2.gate_proj:  93%|█████████▎| 33884/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.2.up_proj:  93%|█████████▎| 33885/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.2.down_proj:  93%|█████████▎| 33886/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.3.gate_proj:  93%|█████████▎| 33887/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.3.up_proj:  93%|█████████▎| 33888/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.3.down_proj:  93%|█████████▎| 33889/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.4.gate_proj:  93%|█████████▎| 33890/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.4.up_proj:  93%|█████████▎| 33891/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.4.down_proj:  93%|█████████▎| 33892/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.5.gate_proj:  93%|█████████▎| 33893/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.5.up_proj:  93%|█████████▎| 33894/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.5.down_proj:  93%|█████████▎| 33895/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.6.gate_proj:  93%|█████████▎| 33896/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.6.up_proj:  93%|█████████▎| 33897/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.6.down_proj:  93%|█████████▎| 33898/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.7.gate_proj:  93%|█████████▎| 33899/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.7.up_proj:  93%|█████████▎| 33900/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.7.down_proj:  93%|█████████▎| 33901/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.8.gate_proj:  93%|█████████▎| 33902/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.8.up_proj:  93%|█████████▎| 33903/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.8.down_proj:  93%|█████████▎| 33904/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.9.gate_proj:  93%|█████████▎| 33905/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.9.up_proj:  93%|█████████▎| 33906/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.9.down_proj:  93%|█████████▎| 33907/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.10.gate_proj:  93%|█████████▎| 33908/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.10.up_proj:  93%|█████████▎| 33909/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.10.down_proj:  93%|█████████▎| 33910/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.11.gate_proj:  93%|█████████▎| 33911/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.11.up_proj:  93%|█████████▎| 33912/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.11.down_proj:  93%|█████████▎| 33913/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.12.gate_proj:  93%|█████████▎| 33914/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.12.up_proj:  93%|█████████▎| 33915/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.12.down_proj:  93%|█████████▎| 33916/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.13.gate_proj:  93%|█████████▎| 33917/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.13.up_proj:  93%|█████████▎| 33918/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.13.down_proj:  93%|█████████▎| 33919/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.14.gate_proj:  93%|█████████▎| 33920/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.14.up_proj:  93%|█████████▎| 33921/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.14.down_proj:  93%|█████████▎| 33922/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.15.gate_proj:  93%|█████████▎| 33923/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.15.up_proj:  93%|█████████▎| 33924/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.15.down_proj:  93%|█████████▎| 33925/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.16.gate_proj:  93%|█████████▎| 33926/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.16.up_proj:  93%|█████████▎| 33927/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.16.down_proj:  93%|█████████▎| 33928/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.17.gate_proj:  93%|█████████▎| 33929/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.17.up_proj:  93%|█████████▎| 33930/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.17.down_proj:  93%|█████████▎| 33931/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.18.gate_proj:  93%|█████████▎| 33932/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.18.up_proj:  93%|█████████▎| 33933/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.18.down_proj:  93%|█████████▎| 33934/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.19.gate_proj:  93%|█████████▎| 33935/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.19.up_proj:  93%|█████████▎| 33936/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.19.down_proj:  93%|█████████▎| 33937/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.20.gate_proj:  93%|█████████▎| 33938/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.20.up_proj:  93%|█████████▎| 33939/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.20.down_proj:  93%|█████████▎| 33940/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.21.gate_proj:  93%|█████████▎| 33941/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.21.up_proj:  93%|█████████▎| 33942/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.21.down_proj:  93%|█████████▎| 33943/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.22.gate_proj:  93%|█████████▎| 33944/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.22.up_proj:  93%|█████████▎| 33945/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.22.down_proj:  93%|█████████▎| 33946/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.23.gate_proj:  93%|█████████▎| 33947/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.23.up_proj:  93%|█████████▎| 33948/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.23.down_proj:  93%|█████████▎| 33949/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.24.gate_proj:  93%|█████████▎| 33950/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.24.up_proj:  93%|█████████▎| 33951/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.24.down_proj:  93%|█████████▎| 33952/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.25.gate_proj:  93%|█████████▎| 33953/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.25.up_proj:  93%|█████████▎| 33954/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.25.down_proj:  93%|█████████▎| 33955/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.26.gate_proj:  93%|█████████▎| 33956/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.26.up_proj:  93%|█████████▎| 33957/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.26.down_proj:  93%|█████████▎| 33958/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.27.gate_proj:  93%|█████████▎| 33959/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.27.up_proj:  93%|█████████▎| 33960/36566 [00:30<00:02, 1172.94it/s]  
packing model.layers.87.mlp.experts.27.down_proj:  93%|█████████▎| 33961/36566 [00:30<00:02, 1172.94it/s]
packing model.layers.87.mlp.experts.27.down_proj:  93%|█████████▎| 33962/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.28.gate_proj:  93%|█████████▎| 33962/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.28.up_proj:  93%|█████████▎| 33963/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.28.down_proj:  93%|█████████▎| 33964/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.29.gate_proj:  93%|█████████▎| 33965/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.29.up_proj:  93%|█████████▎| 33966/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.29.down_proj:  93%|█████████▎| 33967/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.30.gate_proj:  93%|█████████▎| 33968/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.30.up_proj:  93%|█████████▎| 33969/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.30.down_proj:  93%|█████████▎| 33970/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.31.gate_proj:  93%|█████████▎| 33971/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.31.up_proj:  93%|█████████▎| 33972/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.31.down_proj:  93%|█████████▎| 33973/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.32.gate_proj:  93%|█████████▎| 33974/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.32.up_proj:  93%|█████████▎| 33975/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.32.down_proj:  93%|█████████▎| 33976/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.33.gate_proj:  93%|█████████▎| 33977/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.33.up_proj:  93%|█████████▎| 33978/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.33.down_proj:  93%|█████████▎| 33979/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.34.gate_proj:  93%|█████████▎| 33980/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.34.up_proj:  93%|█████████▎| 33981/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.34.down_proj:  93%|█████████▎| 33982/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.35.gate_proj:  93%|█████████▎| 33983/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.35.up_proj:  93%|█████████▎| 33984/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.35.down_proj:  93%|█████████▎| 33985/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.36.gate_proj:  93%|█████████▎| 33986/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.36.up_proj:  93%|█████████▎| 33987/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.36.down_proj:  93%|█████████▎| 33988/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.37.gate_proj:  93%|█████████▎| 33989/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.37.up_proj:  93%|█████████▎| 33990/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.37.down_proj:  93%|█████████▎| 33991/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.38.gate_proj:  93%|█████████▎| 33992/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.38.up_proj:  93%|█████████▎| 33993/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.38.down_proj:  93%|█████████▎| 33994/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.39.gate_proj:  93%|█████████▎| 33995/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.39.up_proj:  93%|█████████▎| 33996/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.39.down_proj:  93%|█████████▎| 33997/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.40.gate_proj:  93%|█████████▎| 33998/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.40.up_proj:  93%|█████████▎| 33999/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.40.down_proj:  93%|█████████▎| 34000/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.41.gate_proj:  93%|█████████▎| 34001/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.41.up_proj:  93%|█████████▎| 34002/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.41.down_proj:  93%|█████████▎| 34003/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.42.gate_proj:  93%|█████████▎| 34004/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.42.up_proj:  93%|█████████▎| 34005/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.42.down_proj:  93%|█████████▎| 34006/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.43.gate_proj:  93%|█████████▎| 34007/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.43.up_proj:  93%|█████████▎| 34008/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.43.down_proj:  93%|█████████▎| 34009/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.44.gate_proj:  93%|█████████▎| 34010/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.44.up_proj:  93%|█████████▎| 34011/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.44.down_proj:  93%|█████████▎| 34012/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.45.gate_proj:  93%|█████████▎| 34013/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.45.up_proj:  93%|█████████▎| 34014/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.45.down_proj:  93%|█████████▎| 34015/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.46.gate_proj:  93%|█████████▎| 34016/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.46.up_proj:  93%|█████████▎| 34017/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.46.down_proj:  93%|█████████▎| 34018/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.47.gate_proj:  93%|█████████▎| 34019/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.47.up_proj:  93%|█████████▎| 34020/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.47.down_proj:  93%|█████████▎| 34021/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.48.gate_proj:  93%|█████████▎| 34022/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.48.up_proj:  93%|█████████▎| 34023/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.48.down_proj:  93%|█████████▎| 34024/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.49.gate_proj:  93%|█████████▎| 34025/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.49.up_proj:  93%|█████████▎| 34026/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.49.down_proj:  93%|█████████▎| 34027/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.50.gate_proj:  93%|█████████▎| 34028/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.50.up_proj:  93%|█████████▎| 34029/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.50.down_proj:  93%|█████████▎| 34030/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.51.gate_proj:  93%|█████████▎| 34031/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.51.up_proj:  93%|█████████▎| 34032/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.51.down_proj:  93%|█████████▎| 34033/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.52.gate_proj:  93%|█████████▎| 34034/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.52.up_proj:  93%|█████████▎| 34035/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.52.down_proj:  93%|█████████▎| 34036/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.53.gate_proj:  93%|█████████▎| 34037/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.53.up_proj:  93%|█████████▎| 34038/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.53.down_proj:  93%|█████████▎| 34039/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.54.gate_proj:  93%|█████████▎| 34040/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.54.up_proj:  93%|█████████▎| 34041/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.54.down_proj:  93%|█████████▎| 34042/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.55.gate_proj:  93%|█████████▎| 34043/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.55.up_proj:  93%|█████████▎| 34044/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.55.down_proj:  93%|█████████▎| 34045/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.56.gate_proj:  93%|█████████▎| 34046/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.56.up_proj:  93%|█████████▎| 34047/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.56.down_proj:  93%|█████████▎| 34048/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.57.gate_proj:  93%|█████████▎| 34049/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.57.up_proj:  93%|█████████▎| 34050/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.57.down_proj:  93%|█████████▎| 34051/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.58.gate_proj:  93%|█████████▎| 34052/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.58.up_proj:  93%|█████████▎| 34053/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.58.down_proj:  93%|█████████▎| 34054/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.59.gate_proj:  93%|█████████▎| 34055/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.59.up_proj:  93%|█████████▎| 34056/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.59.down_proj:  93%|█████████▎| 34057/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.60.gate_proj:  93%|█████████▎| 34058/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.60.up_proj:  93%|█████████▎| 34059/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.60.down_proj:  93%|█████████▎| 34060/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.61.gate_proj:  93%|█████████▎| 34061/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.61.up_proj:  93%|█████████▎| 34062/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.61.down_proj:  93%|█████████▎| 34063/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.62.gate_proj:  93%|█████████▎| 34064/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.62.up_proj:  93%|█████████▎| 34065/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.62.down_proj:  93%|█████████▎| 34066/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.63.gate_proj:  93%|█████████▎| 34067/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.63.up_proj:  93%|█████████▎| 34068/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.63.down_proj:  93%|█████████▎| 34069/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.64.gate_proj:  93%|█████████▎| 34070/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.64.up_proj:  93%|█████████▎| 34071/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.64.down_proj:  93%|█████████▎| 34072/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.65.gate_proj:  93%|█████████▎| 34073/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.65.up_proj:  93%|█████████▎| 34074/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.65.down_proj:  93%|█████████▎| 34075/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.66.gate_proj:  93%|█████████▎| 34076/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.66.up_proj:  93%|█████████▎| 34077/36566 [00:30<00:02, 1173.50it/s]  
packing model.layers.87.mlp.experts.66.down_proj:  93%|█████████▎| 34078/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.67.gate_proj:  93%|█████████▎| 34079/36566 [00:30<00:02, 1173.50it/s]
packing model.layers.87.mlp.experts.67.gate_proj:  93%|█████████▎| 34080/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.67.up_proj:  93%|█████████▎| 34080/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.67.down_proj:  93%|█████████▎| 34081/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.68.gate_proj:  93%|█████████▎| 34082/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.68.up_proj:  93%|█████████▎| 34083/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.68.down_proj:  93%|█████████▎| 34084/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.69.gate_proj:  93%|█████████▎| 34085/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.69.up_proj:  93%|█████████▎| 34086/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.69.down_proj:  93%|█████████▎| 34087/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.70.gate_proj:  93%|█████████▎| 34088/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.70.up_proj:  93%|█████████▎| 34089/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.70.down_proj:  93%|█████████▎| 34090/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.71.gate_proj:  93%|█████████▎| 34091/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.71.up_proj:  93%|█████████▎| 34092/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.71.down_proj:  93%|█████████▎| 34093/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.72.gate_proj:  93%|█████████▎| 34094/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.72.up_proj:  93%|█████████▎| 34095/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.72.down_proj:  93%|█████████▎| 34096/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.73.gate_proj:  93%|█████████▎| 34097/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.73.up_proj:  93%|█████████▎| 34098/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.73.down_proj:  93%|█████████▎| 34099/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.74.gate_proj:  93%|█████████▎| 34100/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.74.up_proj:  93%|█████████▎| 34101/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.74.down_proj:  93%|█████████▎| 34102/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.75.gate_proj:  93%|█████████▎| 34103/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.75.up_proj:  93%|█████████▎| 34104/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.75.down_proj:  93%|█████████▎| 34105/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.76.gate_proj:  93%|█████████▎| 34106/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.76.up_proj:  93%|█████████▎| 34107/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.76.down_proj:  93%|█████████▎| 34108/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.77.gate_proj:  93%|█████████▎| 34109/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.77.up_proj:  93%|█████████▎| 34110/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.77.down_proj:  93%|█████████▎| 34111/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.78.gate_proj:  93%|█████████▎| 34112/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.78.up_proj:  93%|█████████▎| 34113/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.78.down_proj:  93%|█████████▎| 34114/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.79.gate_proj:  93%|█████████▎| 34115/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.79.up_proj:  93%|█████████▎| 34116/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.79.down_proj:  93%|█████████▎| 34117/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.80.gate_proj:  93%|█████████▎| 34118/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.80.up_proj:  93%|█████████▎| 34119/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.80.down_proj:  93%|█████████▎| 34120/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.81.gate_proj:  93%|█████████▎| 34121/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.81.up_proj:  93%|█████████▎| 34122/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.81.down_proj:  93%|█████████▎| 34123/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.82.gate_proj:  93%|█████████▎| 34124/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.82.up_proj:  93%|█████████▎| 34125/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.82.down_proj:  93%|█████████▎| 34126/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.83.gate_proj:  93%|█████████▎| 34127/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.83.up_proj:  93%|█████████▎| 34128/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.83.down_proj:  93%|█████████▎| 34129/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.84.gate_proj:  93%|█████████▎| 34130/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.84.up_proj:  93%|█████████▎| 34131/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.84.down_proj:  93%|█████████▎| 34132/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.85.gate_proj:  93%|█████████▎| 34133/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.85.up_proj:  93%|█████████▎| 34134/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.85.down_proj:  93%|█████████▎| 34135/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.86.gate_proj:  93%|█████████▎| 34136/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.86.up_proj:  93%|█████████▎| 34137/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.86.down_proj:  93%|█████████▎| 34138/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.87.gate_proj:  93%|█████████▎| 34139/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.87.up_proj:  93%|█████████▎| 34140/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.87.down_proj:  93%|█████████▎| 34141/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.88.gate_proj:  93%|█████████▎| 34142/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.88.up_proj:  93%|█████████▎| 34143/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.88.down_proj:  93%|█████████▎| 34144/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.89.gate_proj:  93%|█████████▎| 34145/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.89.up_proj:  93%|█████████▎| 34146/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.89.down_proj:  93%|█████████▎| 34147/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.90.gate_proj:  93%|█████████▎| 34148/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.90.up_proj:  93%|█████████▎| 34149/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.90.down_proj:  93%|█████████▎| 34150/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.91.gate_proj:  93%|█████████▎| 34151/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.91.up_proj:  93%|█████████▎| 34152/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.91.down_proj:  93%|█████████▎| 34153/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.92.gate_proj:  93%|█████████▎| 34154/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.92.up_proj:  93%|█████████▎| 34155/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.92.down_proj:  93%|█████████▎| 34156/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.93.gate_proj:  93%|█████████▎| 34157/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.93.up_proj:  93%|█████████▎| 34158/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.93.down_proj:  93%|█████████▎| 34159/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.94.gate_proj:  93%|█████████▎| 34160/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.94.up_proj:  93%|█████████▎| 34161/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.94.down_proj:  93%|█████████▎| 34162/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.95.gate_proj:  93%|█████████▎| 34163/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.95.up_proj:  93%|█████████▎| 34164/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.95.down_proj:  93%|█████████▎| 34165/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.96.gate_proj:  93%|█████████▎| 34166/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.96.up_proj:  93%|█████████▎| 34167/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.96.down_proj:  93%|█████████▎| 34168/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.97.gate_proj:  93%|█████████▎| 34169/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.97.up_proj:  93%|█████████▎| 34170/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.97.down_proj:  93%|█████████▎| 34171/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.98.gate_proj:  93%|█████████▎| 34172/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.98.up_proj:  93%|█████████▎| 34173/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.98.down_proj:  93%|█████████▎| 34174/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.99.gate_proj:  93%|█████████▎| 34175/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.99.up_proj:  93%|█████████▎| 34176/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.99.down_proj:  93%|█████████▎| 34177/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.100.gate_proj:  93%|█████████▎| 34178/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.100.up_proj:  93%|█████████▎| 34179/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.100.down_proj:  93%|█████████▎| 34180/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.101.gate_proj:  93%|█████████▎| 34181/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.101.up_proj:  93%|█████████▎| 34182/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.101.down_proj:  93%|█████████▎| 34183/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.102.gate_proj:  93%|█████████▎| 34184/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.102.up_proj:  93%|█████████▎| 34185/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.102.down_proj:  93%|█████████▎| 34186/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.103.gate_proj:  93%|█████████▎| 34187/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.103.up_proj:  93%|█████████▎| 34188/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.103.down_proj:  93%|█████████▎| 34189/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.104.gate_proj:  94%|█████████▎| 34190/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.104.up_proj:  94%|█████████▎| 34191/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.104.down_proj:  94%|█████████▎| 34192/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.105.gate_proj:  94%|█████████▎| 34193/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.105.up_proj:  94%|█████████▎| 34194/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.105.down_proj:  94%|█████████▎| 34195/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.106.gate_proj:  94%|█████████▎| 34196/36566 [00:30<00:02, 1174.76it/s]
packing model.layers.87.mlp.experts.106.up_proj:  94%|█████████▎| 34197/36566 [00:30<00:02, 1174.76it/s]  
packing model.layers.87.mlp.experts.106.up_proj:  94%|█████████▎| 34198/36566 [00:30<00:02, 1175.09it/s]
packing model.layers.87.mlp.experts.106.down_proj:  94%|█████████▎| 34198/36566 [00:30<00:02, 1175.09it/s]
packing model.layers.87.mlp.experts.107.gate_proj:  94%|█████████▎| 34199/36566 [00:30<00:02, 1175.09it/s]
packing model.layers.87.mlp.experts.107.up_proj:  94%|█████████▎| 34200/36566 [00:30<00:02, 1175.09it/s]  
packing model.layers.87.mlp.experts.107.down_proj:  94%|█████████▎| 34201/36566 [00:30<00:02, 1175.09it/s]
packing model.layers.87.mlp.experts.108.gate_proj:  94%|█████████▎| 34202/36566 [00:30<00:02, 1175.09it/s]
packing model.layers.87.mlp.experts.108.up_proj:  94%|█████████▎| 34203/36566 [00:30<00:02, 1175.09it/s]  
packing model.layers.87.mlp.experts.108.down_proj:  94%|█████████▎| 34204/36566 [00:30<00:02, 1175.09it/s]
packing model.layers.87.mlp.experts.109.gate_proj:  94%|█████████▎| 34205/36566 [00:30<00:02, 1175.09it/s]
packing model.layers.87.mlp.experts.109.up_proj:  94%|█████████▎| 34206/36566 [00:30<00:02, 1175.09it/s]  
packing model.layers.87.mlp.experts.109.down_proj:  94%|█████████▎| 34207/36566 [00:30<00:02, 1175.09it/s]
packing model.layers.87.mlp.experts.110.gate_proj:  94%|█████████▎| 34208/36566 [00:30<00:02, 1175.09it/s]
packing model.layers.87.mlp.experts.110.up_proj:  94%|█████████▎| 34209/36566 [00:30<00:02, 1175.09it/s]  
packing model.layers.87.mlp.experts.110.down_proj:  94%|█████████▎| 34210/36566 [00:30<00:02, 1175.09it/s]
packing model.layers.87.mlp.experts.111.gate_proj:  94%|█████████▎| 34211/36566 [00:30<00:02, 1175.09it/s]
packing model.layers.87.mlp.experts.111.up_proj:  94%|█████████▎| 34212/36566 [00:30<00:02, 1175.09it/s]  
packing model.layers.87.mlp.experts.111.down_proj:  94%|█████████▎| 34213/36566 [00:30<00:02, 1175.09it/s]
packing model.layers.87.mlp.experts.112.gate_proj:  94%|█████████▎| 34214/36566 [00:30<00:02, 1175.09it/s]
packing model.layers.87.mlp.experts.112.up_proj:  94%|█████████▎| 34215/36566 [00:30<00:02, 1175.09it/s]  
packing model.layers.87.mlp.experts.112.down_proj:  94%|█████████▎| 34216/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.113.gate_proj:  94%|█████████▎| 34217/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.113.up_proj:  94%|█████████▎| 34218/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.87.mlp.experts.113.down_proj:  94%|█████████▎| 34219/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.114.gate_proj:  94%|█████████▎| 34220/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.114.up_proj:  94%|█████████▎| 34221/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.87.mlp.experts.114.down_proj:  94%|█████████▎| 34222/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.115.gate_proj:  94%|█████████▎| 34223/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.115.up_proj:  94%|█████████▎| 34224/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.87.mlp.experts.115.down_proj:  94%|█████████▎| 34225/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.116.gate_proj:  94%|█████████▎| 34226/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.116.up_proj:  94%|█████████▎| 34227/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.87.mlp.experts.116.down_proj:  94%|█████████▎| 34228/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.117.gate_proj:  94%|█████████▎| 34229/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.117.up_proj:  94%|█████████▎| 34230/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.87.mlp.experts.117.down_proj:  94%|█████████▎| 34231/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.118.gate_proj:  94%|█████████▎| 34232/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.118.up_proj:  94%|█████████▎| 34233/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.87.mlp.experts.118.down_proj:  94%|█████████▎| 34234/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.119.gate_proj:  94%|█████████▎| 34235/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.119.up_proj:  94%|█████████▎| 34236/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.87.mlp.experts.119.down_proj:  94%|█████████▎| 34237/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.120.gate_proj:  94%|█████████▎| 34238/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.120.up_proj:  94%|█████████▎| 34239/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.87.mlp.experts.120.down_proj:  94%|█████████▎| 34240/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.121.gate_proj:  94%|█████████▎| 34241/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.121.up_proj:  94%|█████████▎| 34242/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.87.mlp.experts.121.down_proj:  94%|█████████▎| 34243/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.122.gate_proj:  94%|█████████▎| 34244/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.122.up_proj:  94%|█████████▎| 34245/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.87.mlp.experts.122.down_proj:  94%|█████████▎| 34246/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.123.gate_proj:  94%|█████████▎| 34247/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.123.up_proj:  94%|█████████▎| 34248/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.87.mlp.experts.123.down_proj:  94%|█████████▎| 34249/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.124.gate_proj:  94%|█████████▎| 34250/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.124.up_proj:  94%|█████████▎| 34251/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.87.mlp.experts.124.down_proj:  94%|█████████▎| 34252/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.125.gate_proj:  94%|█████████▎| 34253/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.125.up_proj:  94%|█████████▎| 34254/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.87.mlp.experts.125.down_proj:  94%|█████████▎| 34255/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.126.gate_proj:  94%|█████████▎| 34256/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.126.up_proj:  94%|█████████▎| 34257/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.87.mlp.experts.126.down_proj:  94%|█████████▎| 34258/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.127.gate_proj:  94%|█████████▎| 34259/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.87.mlp.experts.127.up_proj:  94%|█████████▎| 34260/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.87.mlp.experts.127.down_proj:  94%|█████████▎| 34261/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.0.gate_proj:  94%|█████████▎| 34262/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.0.up_proj:  94%|█████████▎| 34263/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.0.down_proj:  94%|█████████▎| 34264/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.1.gate_proj:  94%|█████████▎| 34265/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.1.up_proj:  94%|█████████▎| 34266/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.1.down_proj:  94%|█████████▎| 34267/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.2.gate_proj:  94%|█████████▎| 34268/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.2.up_proj:  94%|█████████▎| 34269/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.2.down_proj:  94%|█████████▎| 34270/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.3.gate_proj:  94%|█████████▎| 34271/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.3.up_proj:  94%|█████████▎| 34272/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.3.down_proj:  94%|█████████▎| 34273/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.4.gate_proj:  94%|█████████▎| 34274/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.4.up_proj:  94%|█████████▎| 34275/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.4.down_proj:  94%|█████████▎| 34276/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.5.gate_proj:  94%|█████████▎| 34277/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.5.up_proj:  94%|█████████▎| 34278/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.5.down_proj:  94%|█████████▎| 34279/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.6.gate_proj:  94%|█████████▎| 34280/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.6.up_proj:  94%|█████████▍| 34281/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.6.down_proj:  94%|█████████▍| 34282/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.7.gate_proj:  94%|█████████▍| 34283/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.7.up_proj:  94%|█████████▍| 34284/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.7.down_proj:  94%|█████████▍| 34285/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.8.gate_proj:  94%|█████████▍| 34286/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.8.up_proj:  94%|█████████▍| 34287/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.8.down_proj:  94%|█████████▍| 34288/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.9.gate_proj:  94%|█████████▍| 34289/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.9.up_proj:  94%|█████████▍| 34290/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.9.down_proj:  94%|█████████▍| 34291/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.10.gate_proj:  94%|█████████▍| 34292/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.10.up_proj:  94%|█████████▍| 34293/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.10.down_proj:  94%|█████████▍| 34294/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.11.gate_proj:  94%|█████████▍| 34295/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.11.up_proj:  94%|█████████▍| 34296/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.11.down_proj:  94%|█████████▍| 34297/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.12.gate_proj:  94%|█████████▍| 34298/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.12.up_proj:  94%|█████████▍| 34299/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.12.down_proj:  94%|█████████▍| 34300/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.13.gate_proj:  94%|█████████▍| 34301/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.13.up_proj:  94%|█████████▍| 34302/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.13.down_proj:  94%|█████████▍| 34303/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.14.gate_proj:  94%|█████████▍| 34304/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.14.up_proj:  94%|█████████▍| 34305/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.14.down_proj:  94%|█████████▍| 34306/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.15.gate_proj:  94%|█████████▍| 34307/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.15.up_proj:  94%|█████████▍| 34308/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.15.down_proj:  94%|█████████▍| 34309/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.16.gate_proj:  94%|█████████▍| 34310/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.16.up_proj:  94%|█████████▍| 34311/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.16.down_proj:  94%|█████████▍| 34312/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.17.gate_proj:  94%|█████████▍| 34313/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.17.up_proj:  94%|█████████▍| 34314/36566 [00:30<00:01, 1175.09it/s]  
packing model.layers.88.mlp.experts.17.down_proj:  94%|█████████▍| 34315/36566 [00:30<00:01, 1175.09it/s]
packing model.layers.88.mlp.experts.17.down_proj:  94%|█████████▍| 34316/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.18.gate_proj:  94%|█████████▍| 34316/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.18.up_proj:  94%|█████████▍| 34317/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.18.down_proj:  94%|█████████▍| 34318/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.19.gate_proj:  94%|█████████▍| 34319/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.19.up_proj:  94%|█████████▍| 34320/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.19.down_proj:  94%|█████████▍| 34321/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.20.gate_proj:  94%|█████████▍| 34322/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.20.up_proj:  94%|█████████▍| 34323/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.20.down_proj:  94%|█████████▍| 34324/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.21.gate_proj:  94%|█████████▍| 34325/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.21.up_proj:  94%|█████████▍| 34326/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.21.down_proj:  94%|█████████▍| 34327/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.22.gate_proj:  94%|█████████▍| 34328/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.22.up_proj:  94%|█████████▍| 34329/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.22.down_proj:  94%|█████████▍| 34330/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.23.gate_proj:  94%|█████████▍| 34331/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.23.up_proj:  94%|█████████▍| 34332/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.23.down_proj:  94%|█████████▍| 34333/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.24.gate_proj:  94%|█████████▍| 34334/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.24.up_proj:  94%|█████████▍| 34335/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.24.down_proj:  94%|█████████▍| 34336/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.25.gate_proj:  94%|█████████▍| 34337/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.25.up_proj:  94%|█████████▍| 34338/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.25.down_proj:  94%|█████████▍| 34339/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.26.gate_proj:  94%|█████████▍| 34340/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.26.up_proj:  94%|█████████▍| 34341/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.26.down_proj:  94%|█████████▍| 34342/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.27.gate_proj:  94%|█████████▍| 34343/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.27.up_proj:  94%|█████████▍| 34344/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.27.down_proj:  94%|█████████▍| 34345/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.28.gate_proj:  94%|█████████▍| 34346/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.28.up_proj:  94%|█████████▍| 34347/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.28.down_proj:  94%|█████████▍| 34348/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.29.gate_proj:  94%|█████████▍| 34349/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.29.up_proj:  94%|█████████▍| 34350/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.29.down_proj:  94%|█████████▍| 34351/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.30.gate_proj:  94%|█████████▍| 34352/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.30.up_proj:  94%|█████████▍| 34353/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.30.down_proj:  94%|█████████▍| 34354/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.31.gate_proj:  94%|█████████▍| 34355/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.31.up_proj:  94%|█████████▍| 34356/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.31.down_proj:  94%|█████████▍| 34357/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.32.gate_proj:  94%|█████████▍| 34358/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.32.up_proj:  94%|█████████▍| 34359/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.32.down_proj:  94%|█████████▍| 34360/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.33.gate_proj:  94%|█████████▍| 34361/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.33.up_proj:  94%|█████████▍| 34362/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.33.down_proj:  94%|█████████▍| 34363/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.34.gate_proj:  94%|█████████▍| 34364/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.34.up_proj:  94%|█████████▍| 34365/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.34.down_proj:  94%|█████████▍| 34366/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.35.gate_proj:  94%|█████████▍| 34367/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.35.up_proj:  94%|█████████▍| 34368/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.35.down_proj:  94%|█████████▍| 34369/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.36.gate_proj:  94%|█████████▍| 34370/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.36.up_proj:  94%|█████████▍| 34371/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.36.down_proj:  94%|█████████▍| 34372/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.37.gate_proj:  94%|█████████▍| 34373/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.37.up_proj:  94%|█████████▍| 34374/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.37.down_proj:  94%|█████████▍| 34375/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.38.gate_proj:  94%|█████████▍| 34376/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.38.up_proj:  94%|█████████▍| 34377/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.38.down_proj:  94%|█████████▍| 34378/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.39.gate_proj:  94%|█████████▍| 34379/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.39.up_proj:  94%|█████████▍| 34380/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.39.down_proj:  94%|█████████▍| 34381/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.40.gate_proj:  94%|█████████▍| 34382/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.40.up_proj:  94%|█████████▍| 34383/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.40.down_proj:  94%|█████████▍| 34384/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.41.gate_proj:  94%|█████████▍| 34385/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.41.up_proj:  94%|█████████▍| 34386/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.41.down_proj:  94%|█████████▍| 34387/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.42.gate_proj:  94%|█████████▍| 34388/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.42.up_proj:  94%|█████████▍| 34389/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.42.down_proj:  94%|█████████▍| 34390/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.43.gate_proj:  94%|█████████▍| 34391/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.43.up_proj:  94%|█████████▍| 34392/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.43.down_proj:  94%|█████████▍| 34393/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.44.gate_proj:  94%|█████████▍| 34394/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.44.up_proj:  94%|█████████▍| 34395/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.44.down_proj:  94%|█████████▍| 34396/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.45.gate_proj:  94%|█████████▍| 34397/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.45.up_proj:  94%|█████████▍| 34398/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.45.down_proj:  94%|█████████▍| 34399/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.46.gate_proj:  94%|█████████▍| 34400/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.46.up_proj:  94%|█████████▍| 34401/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.46.down_proj:  94%|█████████▍| 34402/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.47.gate_proj:  94%|█████████▍| 34403/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.47.up_proj:  94%|█████████▍| 34404/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.47.down_proj:  94%|█████████▍| 34405/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.48.gate_proj:  94%|█████████▍| 34406/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.48.up_proj:  94%|█████████▍| 34407/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.48.down_proj:  94%|█████████▍| 34408/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.49.gate_proj:  94%|█████████▍| 34409/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.49.up_proj:  94%|█████████▍| 34410/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.49.down_proj:  94%|█████████▍| 34411/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.50.gate_proj:  94%|█████████▍| 34412/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.50.up_proj:  94%|█████████▍| 34413/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.50.down_proj:  94%|█████████▍| 34414/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.51.gate_proj:  94%|█████████▍| 34415/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.51.up_proj:  94%|█████████▍| 34416/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.51.down_proj:  94%|█████████▍| 34417/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.52.gate_proj:  94%|█████████▍| 34418/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.52.up_proj:  94%|█████████▍| 34419/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.52.down_proj:  94%|█████████▍| 34420/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.53.gate_proj:  94%|█████████▍| 34421/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.53.up_proj:  94%|█████████▍| 34422/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.53.down_proj:  94%|█████████▍| 34423/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.54.gate_proj:  94%|█████████▍| 34424/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.54.up_proj:  94%|█████████▍| 34425/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.54.down_proj:  94%|█████████▍| 34426/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.55.gate_proj:  94%|█████████▍| 34427/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.55.up_proj:  94%|█████████▍| 34428/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.55.down_proj:  94%|█████████▍| 34429/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.56.gate_proj:  94%|█████████▍| 34430/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.56.up_proj:  94%|█████████▍| 34431/36566 [00:30<00:01, 1172.54it/s]  
packing model.layers.88.mlp.experts.56.down_proj:  94%|█████████▍| 34432/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.57.gate_proj:  94%|█████████▍| 34433/36566 [00:30<00:01, 1172.54it/s]
packing model.layers.88.mlp.experts.57.gate_proj:  94%|█████████▍| 34434/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.57.up_proj:  94%|█████████▍| 34434/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.57.down_proj:  94%|█████████▍| 34435/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.58.gate_proj:  94%|█████████▍| 34436/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.58.up_proj:  94%|█████████▍| 34437/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.58.down_proj:  94%|█████████▍| 34438/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.59.gate_proj:  94%|█████████▍| 34439/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.59.up_proj:  94%|█████████▍| 34440/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.59.down_proj:  94%|█████████▍| 34441/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.60.gate_proj:  94%|█████████▍| 34442/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.60.up_proj:  94%|█████████▍| 34443/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.60.down_proj:  94%|█████████▍| 34444/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.61.gate_proj:  94%|█████████▍| 34445/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.61.up_proj:  94%|█████████▍| 34446/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.61.down_proj:  94%|█████████▍| 34447/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.62.gate_proj:  94%|█████████▍| 34448/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.62.up_proj:  94%|█████████▍| 34449/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.62.down_proj:  94%|█████████▍| 34450/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.63.gate_proj:  94%|█████████▍| 34451/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.63.up_proj:  94%|█████████▍| 34452/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.63.down_proj:  94%|█████████▍| 34453/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.64.gate_proj:  94%|█████████▍| 34454/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.64.up_proj:  94%|█████████▍| 34455/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.64.down_proj:  94%|█████████▍| 34456/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.65.gate_proj:  94%|█████████▍| 34457/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.65.up_proj:  94%|█████████▍| 34458/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.65.down_proj:  94%|█████████▍| 34459/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.66.gate_proj:  94%|█████████▍| 34460/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.66.up_proj:  94%|█████████▍| 34461/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.66.down_proj:  94%|█████████▍| 34462/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.67.gate_proj:  94%|█████████▍| 34463/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.67.up_proj:  94%|█████████▍| 34464/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.67.down_proj:  94%|█████████▍| 34465/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.68.gate_proj:  94%|█████████▍| 34466/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.68.up_proj:  94%|█████████▍| 34467/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.68.down_proj:  94%|█████████▍| 34468/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.69.gate_proj:  94%|█████████▍| 34469/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.69.up_proj:  94%|█████████▍| 34470/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.69.down_proj:  94%|█████████▍| 34471/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.70.gate_proj:  94%|█████████▍| 34472/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.70.up_proj:  94%|█████████▍| 34473/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.70.down_proj:  94%|█████████▍| 34474/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.71.gate_proj:  94%|█████████▍| 34475/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.71.up_proj:  94%|█████████▍| 34476/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.71.down_proj:  94%|█████████▍| 34477/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.72.gate_proj:  94%|█████████▍| 34478/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.72.up_proj:  94%|█████████▍| 34479/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.72.down_proj:  94%|█████████▍| 34480/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.73.gate_proj:  94%|█████████▍| 34481/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.73.up_proj:  94%|█████████▍| 34482/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.73.down_proj:  94%|█████████▍| 34483/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.74.gate_proj:  94%|█████████▍| 34484/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.74.up_proj:  94%|█████████▍| 34485/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.74.down_proj:  94%|█████████▍| 34486/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.75.gate_proj:  94%|█████████▍| 34487/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.75.up_proj:  94%|█████████▍| 34488/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.75.down_proj:  94%|█████████▍| 34489/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.76.gate_proj:  94%|█████████▍| 34490/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.76.up_proj:  94%|█████████▍| 34491/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.76.down_proj:  94%|█████████▍| 34492/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.77.gate_proj:  94%|█████████▍| 34493/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.77.up_proj:  94%|█████████▍| 34494/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.77.down_proj:  94%|█████████▍| 34495/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.78.gate_proj:  94%|█████████▍| 34496/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.78.up_proj:  94%|█████████▍| 34497/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.78.down_proj:  94%|█████████▍| 34498/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.79.gate_proj:  94%|█████████▍| 34499/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.79.up_proj:  94%|█████████▍| 34500/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.79.down_proj:  94%|█████████▍| 34501/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.80.gate_proj:  94%|█████████▍| 34502/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.80.up_proj:  94%|█████████▍| 34503/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.80.down_proj:  94%|█████████▍| 34504/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.81.gate_proj:  94%|█████████▍| 34505/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.81.up_proj:  94%|█████████▍| 34506/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.81.down_proj:  94%|█████████▍| 34507/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.82.gate_proj:  94%|█████████▍| 34508/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.82.up_proj:  94%|█████████▍| 34509/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.82.down_proj:  94%|█████████▍| 34510/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.83.gate_proj:  94%|█████████▍| 34511/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.83.up_proj:  94%|█████████▍| 34512/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.83.down_proj:  94%|█████████▍| 34513/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.84.gate_proj:  94%|█████████▍| 34514/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.84.up_proj:  94%|█████████▍| 34515/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.84.down_proj:  94%|█████████▍| 34516/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.85.gate_proj:  94%|█████████▍| 34517/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.85.up_proj:  94%|█████████▍| 34518/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.85.down_proj:  94%|█████████▍| 34519/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.86.gate_proj:  94%|█████████▍| 34520/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.86.up_proj:  94%|█████████▍| 34521/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.86.down_proj:  94%|█████████▍| 34522/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.87.gate_proj:  94%|█████████▍| 34523/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.87.up_proj:  94%|█████████▍| 34524/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.87.down_proj:  94%|█████████▍| 34525/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.88.gate_proj:  94%|█████████▍| 34526/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.88.up_proj:  94%|█████████▍| 34527/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.88.down_proj:  94%|█████████▍| 34528/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.89.gate_proj:  94%|█████████▍| 34529/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.89.up_proj:  94%|█████████▍| 34530/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.89.down_proj:  94%|█████████▍| 34531/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.90.gate_proj:  94%|█████████▍| 34532/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.90.up_proj:  94%|█████████▍| 34533/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.90.down_proj:  94%|█████████▍| 34534/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.91.gate_proj:  94%|█████████▍| 34535/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.91.up_proj:  94%|█████████▍| 34536/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.91.down_proj:  94%|█████████▍| 34537/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.92.gate_proj:  94%|█████████▍| 34538/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.92.up_proj:  94%|█████████▍| 34539/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.92.down_proj:  94%|█████████▍| 34540/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.93.gate_proj:  94%|█████████▍| 34541/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.93.up_proj:  94%|█████████▍| 34542/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.93.down_proj:  94%|█████████▍| 34543/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.94.gate_proj:  94%|█████████▍| 34544/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.94.up_proj:  94%|█████████▍| 34545/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.94.down_proj:  94%|█████████▍| 34546/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.95.gate_proj:  94%|█████████▍| 34547/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.95.up_proj:  94%|█████████▍| 34548/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.95.down_proj:  94%|█████████▍| 34549/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.96.gate_proj:  94%|█████████▍| 34550/36566 [00:30<00:01, 1173.17it/s]
packing model.layers.88.mlp.experts.96.up_proj:  94%|█████████▍| 34551/36566 [00:30<00:01, 1173.17it/s]  
packing model.layers.88.mlp.experts.96.up_proj:  94%|█████████▍| 34552/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.96.down_proj:  94%|█████████▍| 34552/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.97.gate_proj:  94%|█████████▍| 34553/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.97.up_proj:  94%|█████████▍| 34554/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.97.down_proj:  95%|█████████▍| 34555/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.98.gate_proj:  95%|█████████▍| 34556/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.98.up_proj:  95%|█████████▍| 34557/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.98.down_proj:  95%|█████████▍| 34558/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.99.gate_proj:  95%|█████████▍| 34559/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.99.up_proj:  95%|█████████▍| 34560/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.99.down_proj:  95%|█████████▍| 34561/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.100.gate_proj:  95%|█████████▍| 34562/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.100.up_proj:  95%|█████████▍| 34563/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.100.down_proj:  95%|█████████▍| 34564/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.101.gate_proj:  95%|█████████▍| 34565/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.101.up_proj:  95%|█████████▍| 34566/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.101.down_proj:  95%|█████████▍| 34567/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.102.gate_proj:  95%|█████████▍| 34568/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.102.up_proj:  95%|█████████▍| 34569/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.102.down_proj:  95%|█████████▍| 34570/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.103.gate_proj:  95%|█████████▍| 34571/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.103.up_proj:  95%|█████████▍| 34572/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.103.down_proj:  95%|█████████▍| 34573/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.104.gate_proj:  95%|█████████▍| 34574/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.104.up_proj:  95%|█████████▍| 34575/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.104.down_proj:  95%|█████████▍| 34576/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.105.gate_proj:  95%|█████████▍| 34577/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.105.up_proj:  95%|█████████▍| 34578/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.105.down_proj:  95%|█████████▍| 34579/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.106.gate_proj:  95%|█████████▍| 34580/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.106.up_proj:  95%|█████████▍| 34581/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.106.down_proj:  95%|█████████▍| 34582/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.107.gate_proj:  95%|█████████▍| 34583/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.107.up_proj:  95%|█████████▍| 34584/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.107.down_proj:  95%|█████████▍| 34585/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.108.gate_proj:  95%|█████████▍| 34586/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.108.up_proj:  95%|█████████▍| 34587/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.108.down_proj:  95%|█████████▍| 34588/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.109.gate_proj:  95%|█████████▍| 34589/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.109.up_proj:  95%|█████████▍| 34590/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.109.down_proj:  95%|█████████▍| 34591/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.110.gate_proj:  95%|█████████▍| 34592/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.110.up_proj:  95%|█████████▍| 34593/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.110.down_proj:  95%|█████████▍| 34594/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.111.gate_proj:  95%|█████████▍| 34595/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.111.up_proj:  95%|█████████▍| 34596/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.111.down_proj:  95%|█████████▍| 34597/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.112.gate_proj:  95%|█████████▍| 34598/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.112.up_proj:  95%|█████████▍| 34599/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.112.down_proj:  95%|█████████▍| 34600/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.113.gate_proj:  95%|█████████▍| 34601/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.113.up_proj:  95%|█████████▍| 34602/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.113.down_proj:  95%|█████████▍| 34603/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.114.gate_proj:  95%|█████████▍| 34604/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.114.up_proj:  95%|█████████▍| 34605/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.114.down_proj:  95%|█████████▍| 34606/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.115.gate_proj:  95%|█████████▍| 34607/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.115.up_proj:  95%|█████████▍| 34608/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.115.down_proj:  95%|█████████▍| 34609/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.116.gate_proj:  95%|█████████▍| 34610/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.116.up_proj:  95%|█████████▍| 34611/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.116.down_proj:  95%|█████████▍| 34612/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.117.gate_proj:  95%|█████████▍| 34613/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.117.up_proj:  95%|█████████▍| 34614/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.117.down_proj:  95%|█████████▍| 34615/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.118.gate_proj:  95%|█████████▍| 34616/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.118.up_proj:  95%|█████████▍| 34617/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.118.down_proj:  95%|█████████▍| 34618/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.119.gate_proj:  95%|█████████▍| 34619/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.119.up_proj:  95%|█████████▍| 34620/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.119.down_proj:  95%|█████████▍| 34621/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.120.gate_proj:  95%|█████████▍| 34622/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.120.up_proj:  95%|█████████▍| 34623/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.120.down_proj:  95%|█████████▍| 34624/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.121.gate_proj:  95%|█████████▍| 34625/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.121.up_proj:  95%|█████████▍| 34626/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.121.down_proj:  95%|█████████▍| 34627/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.122.gate_proj:  95%|█████████▍| 34628/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.122.up_proj:  95%|█████████▍| 34629/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.122.down_proj:  95%|█████████▍| 34630/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.123.gate_proj:  95%|█████████▍| 34631/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.123.up_proj:  95%|█████████▍| 34632/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.123.down_proj:  95%|█████████▍| 34633/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.124.gate_proj:  95%|█████████▍| 34634/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.124.up_proj:  95%|█████████▍| 34635/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.124.down_proj:  95%|█████████▍| 34636/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.125.gate_proj:  95%|█████████▍| 34637/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.125.up_proj:  95%|█████████▍| 34638/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.125.down_proj:  95%|█████████▍| 34639/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.126.gate_proj:  95%|█████████▍| 34640/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.126.up_proj:  95%|█████████▍| 34641/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.126.down_proj:  95%|█████████▍| 34642/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.127.gate_proj:  95%|█████████▍| 34643/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.88.mlp.experts.127.up_proj:  95%|█████████▍| 34644/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.88.mlp.experts.127.down_proj:  95%|█████████▍| 34645/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.89.mlp.experts.0.gate_proj:  95%|█████████▍| 34646/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.89.mlp.experts.0.up_proj:  95%|█████████▍| 34647/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.89.mlp.experts.0.down_proj:  95%|█████████▍| 34648/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.89.mlp.experts.1.gate_proj:  95%|█████████▍| 34649/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.89.mlp.experts.1.up_proj:  95%|█████████▍| 34650/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.89.mlp.experts.1.down_proj:  95%|█████████▍| 34651/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.89.mlp.experts.2.gate_proj:  95%|█████████▍| 34652/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.89.mlp.experts.2.up_proj:  95%|█████████▍| 34653/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.89.mlp.experts.2.down_proj:  95%|█████████▍| 34654/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.89.mlp.experts.3.gate_proj:  95%|█████████▍| 34655/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.89.mlp.experts.3.up_proj:  95%|█████████▍| 34656/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.89.mlp.experts.3.down_proj:  95%|█████████▍| 34657/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.89.mlp.experts.4.gate_proj:  95%|█████████▍| 34658/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.89.mlp.experts.4.up_proj:  95%|█████████▍| 34659/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.89.mlp.experts.4.down_proj:  95%|█████████▍| 34660/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.89.mlp.experts.5.gate_proj:  95%|█████████▍| 34661/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.89.mlp.experts.5.up_proj:  95%|█████████▍| 34662/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.89.mlp.experts.5.down_proj:  95%|█████████▍| 34663/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.89.mlp.experts.6.gate_proj:  95%|█████████▍| 34664/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.89.mlp.experts.6.up_proj:  95%|█████████▍| 34665/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.89.mlp.experts.6.down_proj:  95%|█████████▍| 34666/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.89.mlp.experts.7.gate_proj:  95%|█████████▍| 34667/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.89.mlp.experts.7.up_proj:  95%|█████████▍| 34668/36566 [00:30<00:01, 1173.63it/s]  
packing model.layers.89.mlp.experts.7.down_proj:  95%|█████████▍| 34669/36566 [00:30<00:01, 1173.63it/s]
packing model.layers.89.mlp.experts.7.down_proj:  95%|█████████▍| 34670/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.8.gate_proj:  95%|█████████▍| 34670/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.8.up_proj:  95%|█████████▍| 34671/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.8.down_proj:  95%|█████████▍| 34672/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.9.gate_proj:  95%|█████████▍| 34673/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.9.up_proj:  95%|█████████▍| 34674/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.9.down_proj:  95%|█████████▍| 34675/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.10.gate_proj:  95%|█████████▍| 34676/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.10.up_proj:  95%|█████████▍| 34677/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.10.down_proj:  95%|█████████▍| 34678/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.11.gate_proj:  95%|█████████▍| 34679/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.11.up_proj:  95%|█████████▍| 34680/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.11.down_proj:  95%|█████████▍| 34681/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.12.gate_proj:  95%|█████████▍| 34682/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.12.up_proj:  95%|█████████▍| 34683/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.12.down_proj:  95%|█████████▍| 34684/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.13.gate_proj:  95%|█████████▍| 34685/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.13.up_proj:  95%|█████████▍| 34686/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.13.down_proj:  95%|█████████▍| 34687/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.14.gate_proj:  95%|█████████▍| 34688/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.14.up_proj:  95%|█████████▍| 34689/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.14.down_proj:  95%|█████████▍| 34690/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.15.gate_proj:  95%|█████████▍| 34691/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.15.up_proj:  95%|█████████▍| 34692/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.15.down_proj:  95%|█████████▍| 34693/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.16.gate_proj:  95%|█████████▍| 34694/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.16.up_proj:  95%|█████████▍| 34695/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.16.down_proj:  95%|█████████▍| 34696/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.17.gate_proj:  95%|█████████▍| 34697/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.17.up_proj:  95%|█████████▍| 34698/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.17.down_proj:  95%|█████████▍| 34699/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.18.gate_proj:  95%|█████████▍| 34700/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.18.up_proj:  95%|█████████▍| 34701/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.18.down_proj:  95%|█████████▍| 34702/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.19.gate_proj:  95%|█████████▍| 34703/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.19.up_proj:  95%|█████████▍| 34704/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.19.down_proj:  95%|█████████▍| 34705/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.20.gate_proj:  95%|█████████▍| 34706/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.20.up_proj:  95%|█████████▍| 34707/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.20.down_proj:  95%|█████████▍| 34708/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.21.gate_proj:  95%|█████████▍| 34709/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.21.up_proj:  95%|█████████▍| 34710/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.21.down_proj:  95%|█████████▍| 34711/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.22.gate_proj:  95%|█████████▍| 34712/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.22.up_proj:  95%|█████████▍| 34713/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.22.down_proj:  95%|█████████▍| 34714/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.23.gate_proj:  95%|█████████▍| 34715/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.23.up_proj:  95%|█████████▍| 34716/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.23.down_proj:  95%|█████████▍| 34717/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.24.gate_proj:  95%|█████████▍| 34718/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.24.up_proj:  95%|█████████▍| 34719/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.24.down_proj:  95%|█████████▍| 34720/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.25.gate_proj:  95%|█████████▍| 34721/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.25.up_proj:  95%|█████████▍| 34722/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.25.down_proj:  95%|█████████▍| 34723/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.26.gate_proj:  95%|█████████▍| 34724/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.26.up_proj:  95%|█████████▍| 34725/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.26.down_proj:  95%|█████████▍| 34726/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.27.gate_proj:  95%|█████████▍| 34727/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.27.up_proj:  95%|█████████▍| 34728/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.27.down_proj:  95%|█████████▍| 34729/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.28.gate_proj:  95%|█████████▍| 34730/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.28.up_proj:  95%|█████████▍| 34731/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.28.down_proj:  95%|█████████▍| 34732/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.29.gate_proj:  95%|█████████▍| 34733/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.29.up_proj:  95%|█████████▍| 34734/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.29.down_proj:  95%|█████████▍| 34735/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.30.gate_proj:  95%|█████████▍| 34736/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.30.up_proj:  95%|█████████▍| 34737/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.30.down_proj:  95%|█████████▌| 34738/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.31.gate_proj:  95%|█████████▌| 34739/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.31.up_proj:  95%|█████████▌| 34740/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.31.down_proj:  95%|█████████▌| 34741/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.32.gate_proj:  95%|█████████▌| 34742/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.32.up_proj:  95%|█████████▌| 34743/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.32.down_proj:  95%|█████████▌| 34744/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.33.gate_proj:  95%|█████████▌| 34745/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.33.up_proj:  95%|█████████▌| 34746/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.33.down_proj:  95%|█████████▌| 34747/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.34.gate_proj:  95%|█████████▌| 34748/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.34.up_proj:  95%|█████████▌| 34749/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.34.down_proj:  95%|█████████▌| 34750/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.35.gate_proj:  95%|█████████▌| 34751/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.35.up_proj:  95%|█████████▌| 34752/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.35.down_proj:  95%|█████████▌| 34753/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.36.gate_proj:  95%|█████████▌| 34754/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.36.up_proj:  95%|█████████▌| 34755/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.36.down_proj:  95%|█████████▌| 34756/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.37.gate_proj:  95%|█████████▌| 34757/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.37.up_proj:  95%|█████████▌| 34758/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.37.down_proj:  95%|█████████▌| 34759/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.38.gate_proj:  95%|█████████▌| 34760/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.38.up_proj:  95%|█████████▌| 34761/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.38.down_proj:  95%|█████████▌| 34762/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.39.gate_proj:  95%|█████████▌| 34763/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.39.up_proj:  95%|█████████▌| 34764/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.39.down_proj:  95%|█████████▌| 34765/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.40.gate_proj:  95%|█████████▌| 34766/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.40.up_proj:  95%|█████████▌| 34767/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.40.down_proj:  95%|█████████▌| 34768/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.41.gate_proj:  95%|█████████▌| 34769/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.41.up_proj:  95%|█████████▌| 34770/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.41.down_proj:  95%|█████████▌| 34771/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.42.gate_proj:  95%|█████████▌| 34772/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.42.up_proj:  95%|█████████▌| 34773/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.42.down_proj:  95%|█████████▌| 34774/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.43.gate_proj:  95%|█████████▌| 34775/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.43.up_proj:  95%|█████████▌| 34776/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.43.down_proj:  95%|█████████▌| 34777/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.44.gate_proj:  95%|█████████▌| 34778/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.44.up_proj:  95%|█████████▌| 34779/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.44.down_proj:  95%|█████████▌| 34780/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.45.gate_proj:  95%|█████████▌| 34781/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.45.up_proj:  95%|█████████▌| 34782/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.45.down_proj:  95%|█████████▌| 34783/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.46.gate_proj:  95%|█████████▌| 34784/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.46.up_proj:  95%|█████████▌| 34785/36566 [00:30<00:01, 1172.38it/s]  
packing model.layers.89.mlp.experts.46.down_proj:  95%|█████████▌| 34786/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.47.gate_proj:  95%|█████████▌| 34787/36566 [00:30<00:01, 1172.38it/s]
packing model.layers.89.mlp.experts.47.gate_proj:  95%|█████████▌| 34788/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.47.up_proj:  95%|█████████▌| 34788/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.47.down_proj:  95%|█████████▌| 34789/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.48.gate_proj:  95%|█████████▌| 34790/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.48.up_proj:  95%|█████████▌| 34791/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.48.down_proj:  95%|█████████▌| 34792/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.49.gate_proj:  95%|█████████▌| 34793/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.49.up_proj:  95%|█████████▌| 34794/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.49.down_proj:  95%|█████████▌| 34795/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.50.gate_proj:  95%|█████████▌| 34796/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.50.up_proj:  95%|█████████▌| 34797/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.50.down_proj:  95%|█████████▌| 34798/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.51.gate_proj:  95%|█████████▌| 34799/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.51.up_proj:  95%|█████████▌| 34800/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.51.down_proj:  95%|█████████▌| 34801/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.52.gate_proj:  95%|█████████▌| 34802/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.52.up_proj:  95%|█████████▌| 34803/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.52.down_proj:  95%|█████████▌| 34804/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.53.gate_proj:  95%|█████████▌| 34805/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.53.up_proj:  95%|█████████▌| 34806/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.53.down_proj:  95%|█████████▌| 34807/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.54.gate_proj:  95%|█████████▌| 34808/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.54.up_proj:  95%|█████████▌| 34809/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.54.down_proj:  95%|█████████▌| 34810/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.55.gate_proj:  95%|█████████▌| 34811/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.55.up_proj:  95%|█████████▌| 34812/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.55.down_proj:  95%|█████████▌| 34813/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.56.gate_proj:  95%|█████████▌| 34814/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.56.up_proj:  95%|█████████▌| 34815/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.56.down_proj:  95%|█████████▌| 34816/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.57.gate_proj:  95%|█████████▌| 34817/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.57.up_proj:  95%|█████████▌| 34818/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.57.down_proj:  95%|█████████▌| 34819/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.58.gate_proj:  95%|█████████▌| 34820/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.58.up_proj:  95%|█████████▌| 34821/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.58.down_proj:  95%|█████████▌| 34822/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.59.gate_proj:  95%|█████████▌| 34823/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.59.up_proj:  95%|█████████▌| 34824/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.59.down_proj:  95%|█████████▌| 34825/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.60.gate_proj:  95%|█████████▌| 34826/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.60.up_proj:  95%|█████████▌| 34827/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.60.down_proj:  95%|█████████▌| 34828/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.61.gate_proj:  95%|█████████▌| 34829/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.61.up_proj:  95%|█████████▌| 34830/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.61.down_proj:  95%|█████████▌| 34831/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.62.gate_proj:  95%|█████████▌| 34832/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.62.up_proj:  95%|█████████▌| 34833/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.62.down_proj:  95%|█████████▌| 34834/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.63.gate_proj:  95%|█████████▌| 34835/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.63.up_proj:  95%|█████████▌| 34836/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.63.down_proj:  95%|█████████▌| 34837/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.64.gate_proj:  95%|█████████▌| 34838/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.64.up_proj:  95%|█████████▌| 34839/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.64.down_proj:  95%|█████████▌| 34840/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.65.gate_proj:  95%|█████████▌| 34841/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.65.up_proj:  95%|█████████▌| 34842/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.65.down_proj:  95%|█████████▌| 34843/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.66.gate_proj:  95%|█████████▌| 34844/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.66.up_proj:  95%|█████████▌| 34845/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.66.down_proj:  95%|█████████▌| 34846/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.67.gate_proj:  95%|█████████▌| 34847/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.67.up_proj:  95%|█████████▌| 34848/36566 [00:30<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.67.down_proj:  95%|█████████▌| 34849/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.68.gate_proj:  95%|█████████▌| 34850/36566 [00:30<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.68.up_proj:  95%|█████████▌| 34851/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.68.down_proj:  95%|█████████▌| 34852/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.69.gate_proj:  95%|█████████▌| 34853/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.69.up_proj:  95%|█████████▌| 34854/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.69.down_proj:  95%|█████████▌| 34855/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.70.gate_proj:  95%|█████████▌| 34856/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.70.up_proj:  95%|█████████▌| 34857/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.70.down_proj:  95%|█████████▌| 34858/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.71.gate_proj:  95%|█████████▌| 34859/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.71.up_proj:  95%|█████████▌| 34860/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.71.down_proj:  95%|█████████▌| 34861/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.72.gate_proj:  95%|█████████▌| 34862/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.72.up_proj:  95%|█████████▌| 34863/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.72.down_proj:  95%|█████████▌| 34864/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.73.gate_proj:  95%|█████████▌| 34865/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.73.up_proj:  95%|█████████▌| 34866/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.73.down_proj:  95%|█████████▌| 34867/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.74.gate_proj:  95%|█████████▌| 34868/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.74.up_proj:  95%|█████████▌| 34869/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.74.down_proj:  95%|█████████▌| 34870/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.75.gate_proj:  95%|█████████▌| 34871/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.75.up_proj:  95%|█████████▌| 34872/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.75.down_proj:  95%|█████████▌| 34873/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.76.gate_proj:  95%|█████████▌| 34874/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.76.up_proj:  95%|█████████▌| 34875/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.76.down_proj:  95%|█████████▌| 34876/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.77.gate_proj:  95%|█████████▌| 34877/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.77.up_proj:  95%|█████████▌| 34878/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.77.down_proj:  95%|█████████▌| 34879/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.78.gate_proj:  95%|█████████▌| 34880/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.78.up_proj:  95%|█████████▌| 34881/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.78.down_proj:  95%|█████████▌| 34882/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.79.gate_proj:  95%|█████████▌| 34883/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.79.up_proj:  95%|█████████▌| 34884/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.79.down_proj:  95%|█████████▌| 34885/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.80.gate_proj:  95%|█████████▌| 34886/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.80.up_proj:  95%|█████████▌| 34887/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.80.down_proj:  95%|█████████▌| 34888/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.81.gate_proj:  95%|█████████▌| 34889/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.81.up_proj:  95%|█████████▌| 34890/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.81.down_proj:  95%|█████████▌| 34891/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.82.gate_proj:  95%|█████████▌| 34892/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.82.up_proj:  95%|█████████▌| 34893/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.82.down_proj:  95%|█████████▌| 34894/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.83.gate_proj:  95%|█████████▌| 34895/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.83.up_proj:  95%|█████████▌| 34896/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.83.down_proj:  95%|█████████▌| 34897/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.84.gate_proj:  95%|█████████▌| 34898/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.84.up_proj:  95%|█████████▌| 34899/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.84.down_proj:  95%|█████████▌| 34900/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.85.gate_proj:  95%|█████████▌| 34901/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.85.up_proj:  95%|█████████▌| 34902/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.85.down_proj:  95%|█████████▌| 34903/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.86.gate_proj:  95%|█████████▌| 34904/36566 [00:31<00:01, 1172.56it/s]
packing model.layers.89.mlp.experts.86.up_proj:  95%|█████████▌| 34905/36566 [00:31<00:01, 1172.56it/s]  
packing model.layers.89.mlp.experts.86.up_proj:  95%|█████████▌| 34906/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.86.down_proj:  95%|█████████▌| 34906/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.87.gate_proj:  95%|█████████▌| 34907/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.87.up_proj:  95%|█████████▌| 34908/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.87.down_proj:  95%|█████████▌| 34909/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.88.gate_proj:  95%|█████████▌| 34910/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.88.up_proj:  95%|█████████▌| 34911/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.88.down_proj:  95%|█████████▌| 34912/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.89.gate_proj:  95%|█████████▌| 34913/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.89.up_proj:  95%|█████████▌| 34914/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.89.down_proj:  95%|█████████▌| 34915/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.90.gate_proj:  95%|█████████▌| 34916/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.90.up_proj:  95%|█████████▌| 34917/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.90.down_proj:  95%|█████████▌| 34918/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.91.gate_proj:  95%|█████████▌| 34919/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.91.up_proj:  95%|█████████▌| 34920/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.91.down_proj:  96%|█████████▌| 34921/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.92.gate_proj:  96%|█████████▌| 34922/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.92.up_proj:  96%|█████████▌| 34923/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.92.down_proj:  96%|█████████▌| 34924/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.93.gate_proj:  96%|█████████▌| 34925/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.93.up_proj:  96%|█████████▌| 34926/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.93.down_proj:  96%|█████████▌| 34927/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.94.gate_proj:  96%|█████████▌| 34928/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.94.up_proj:  96%|█████████▌| 34929/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.94.down_proj:  96%|█████████▌| 34930/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.95.gate_proj:  96%|█████████▌| 34931/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.95.up_proj:  96%|█████████▌| 34932/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.95.down_proj:  96%|█████████▌| 34933/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.96.gate_proj:  96%|█████████▌| 34934/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.96.up_proj:  96%|█████████▌| 34935/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.96.down_proj:  96%|█████████▌| 34936/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.97.gate_proj:  96%|█████████▌| 34937/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.97.up_proj:  96%|█████████▌| 34938/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.97.down_proj:  96%|█████████▌| 34939/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.98.gate_proj:  96%|█████████▌| 34940/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.98.up_proj:  96%|█████████▌| 34941/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.98.down_proj:  96%|█████████▌| 34942/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.99.gate_proj:  96%|█████████▌| 34943/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.99.up_proj:  96%|█████████▌| 34944/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.99.down_proj:  96%|█████████▌| 34945/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.100.gate_proj:  96%|█████████▌| 34946/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.100.up_proj:  96%|█████████▌| 34947/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.100.down_proj:  96%|█████████▌| 34948/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.101.gate_proj:  96%|█████████▌| 34949/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.101.up_proj:  96%|█████████▌| 34950/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.101.down_proj:  96%|█████████▌| 34951/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.102.gate_proj:  96%|█████████▌| 34952/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.102.up_proj:  96%|█████████▌| 34953/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.102.down_proj:  96%|█████████▌| 34954/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.103.gate_proj:  96%|█████████▌| 34955/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.103.up_proj:  96%|█████████▌| 34956/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.103.down_proj:  96%|█████████▌| 34957/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.104.gate_proj:  96%|█████████▌| 34958/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.104.up_proj:  96%|█████████▌| 34959/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.104.down_proj:  96%|█████████▌| 34960/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.105.gate_proj:  96%|█████████▌| 34961/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.105.up_proj:  96%|█████████▌| 34962/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.105.down_proj:  96%|█████████▌| 34963/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.106.gate_proj:  96%|█████████▌| 34964/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.106.up_proj:  96%|█████████▌| 34965/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.106.down_proj:  96%|█████████▌| 34966/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.107.gate_proj:  96%|█████████▌| 34967/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.107.up_proj:  96%|█████████▌| 34968/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.107.down_proj:  96%|█████████▌| 34969/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.108.gate_proj:  96%|█████████▌| 34970/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.108.up_proj:  96%|█████████▌| 34971/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.108.down_proj:  96%|█████████▌| 34972/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.109.gate_proj:  96%|█████████▌| 34973/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.109.up_proj:  96%|█████████▌| 34974/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.109.down_proj:  96%|█████████▌| 34975/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.110.gate_proj:  96%|█████████▌| 34976/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.110.up_proj:  96%|█████████▌| 34977/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.110.down_proj:  96%|█████████▌| 34978/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.111.gate_proj:  96%|█████████▌| 34979/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.111.up_proj:  96%|█████████▌| 34980/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.111.down_proj:  96%|█████████▌| 34981/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.112.gate_proj:  96%|█████████▌| 34982/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.112.up_proj:  96%|█████████▌| 34983/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.112.down_proj:  96%|█████████▌| 34984/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.113.gate_proj:  96%|█████████▌| 34985/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.113.up_proj:  96%|█████████▌| 34986/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.113.down_proj:  96%|█████████▌| 34987/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.114.gate_proj:  96%|█████████▌| 34988/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.114.up_proj:  96%|█████████▌| 34989/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.114.down_proj:  96%|█████████▌| 34990/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.115.gate_proj:  96%|█████████▌| 34991/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.115.up_proj:  96%|█████████▌| 34992/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.115.down_proj:  96%|█████████▌| 34993/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.116.gate_proj:  96%|█████████▌| 34994/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.116.up_proj:  96%|█████████▌| 34995/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.116.down_proj:  96%|█████████▌| 34996/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.117.gate_proj:  96%|█████████▌| 34997/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.117.up_proj:  96%|█████████▌| 34998/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.117.down_proj:  96%|█████████▌| 34999/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.118.gate_proj:  96%|█████████▌| 35000/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.118.up_proj:  96%|█████████▌| 35001/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.118.down_proj:  96%|█████████▌| 35002/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.119.gate_proj:  96%|█████████▌| 35003/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.119.up_proj:  96%|█████████▌| 35004/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.119.down_proj:  96%|█████████▌| 35005/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.120.gate_proj:  96%|█████████▌| 35006/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.120.up_proj:  96%|█████████▌| 35007/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.120.down_proj:  96%|█████████▌| 35008/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.121.gate_proj:  96%|█████████▌| 35009/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.121.up_proj:  96%|█████████▌| 35010/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.121.down_proj:  96%|█████████▌| 35011/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.122.gate_proj:  96%|█████████▌| 35012/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.122.up_proj:  96%|█████████▌| 35013/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.122.down_proj:  96%|█████████▌| 35014/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.123.gate_proj:  96%|█████████▌| 35015/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.123.up_proj:  96%|█████████▌| 35016/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.123.down_proj:  96%|█████████▌| 35017/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.124.gate_proj:  96%|█████████▌| 35018/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.124.up_proj:  96%|█████████▌| 35019/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.124.down_proj:  96%|█████████▌| 35020/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.125.gate_proj:  96%|█████████▌| 35021/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.125.up_proj:  96%|█████████▌| 35022/36566 [00:31<00:01, 1173.33it/s]  
packing model.layers.89.mlp.experts.125.down_proj:  96%|█████████▌| 35023/36566 [00:31<00:01, 1173.33it/s]
packing model.layers.89.mlp.experts.125.down_proj:  96%|█████████▌| 35024/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.89.mlp.experts.126.gate_proj:  96%|█████████▌| 35024/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.89.mlp.experts.126.up_proj:  96%|█████████▌| 35025/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.89.mlp.experts.126.down_proj:  96%|█████████▌| 35026/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.89.mlp.experts.127.gate_proj:  96%|█████████▌| 35027/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.89.mlp.experts.127.up_proj:  96%|█████████▌| 35028/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.89.mlp.experts.127.down_proj:  96%|█████████▌| 35029/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.0.gate_proj:  96%|█████████▌| 35030/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.0.up_proj:  96%|█████████▌| 35031/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.0.down_proj:  96%|█████████▌| 35032/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.1.gate_proj:  96%|█████████▌| 35033/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.1.up_proj:  96%|█████████▌| 35034/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.1.down_proj:  96%|█████████▌| 35035/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.2.gate_proj:  96%|█████████▌| 35036/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.2.up_proj:  96%|█████████▌| 35037/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.2.down_proj:  96%|█████████▌| 35038/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.3.gate_proj:  96%|█████████▌| 35039/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.3.up_proj:  96%|█████████▌| 35040/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.3.down_proj:  96%|█████████▌| 35041/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.4.gate_proj:  96%|█████████▌| 35042/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.4.up_proj:  96%|█████████▌| 35043/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.4.down_proj:  96%|█████████▌| 35044/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.5.gate_proj:  96%|█████████▌| 35045/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.5.up_proj:  96%|█████████▌| 35046/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.5.down_proj:  96%|█████████▌| 35047/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.6.gate_proj:  96%|█████████▌| 35048/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.6.up_proj:  96%|█████████▌| 35049/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.6.down_proj:  96%|█████████▌| 35050/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.7.gate_proj:  96%|█████████▌| 35051/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.7.up_proj:  96%|█████████▌| 35052/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.7.down_proj:  96%|█████████▌| 35053/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.8.gate_proj:  96%|█████████▌| 35054/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.8.up_proj:  96%|█████████▌| 35055/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.8.down_proj:  96%|█████████▌| 35056/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.9.gate_proj:  96%|█████████▌| 35057/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.9.up_proj:  96%|█████████▌| 35058/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.9.down_proj:  96%|█████████▌| 35059/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.10.gate_proj:  96%|█████████▌| 35060/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.10.up_proj:  96%|█████████▌| 35061/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.10.down_proj:  96%|█████████▌| 35062/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.11.gate_proj:  96%|█████████▌| 35063/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.11.up_proj:  96%|█████████▌| 35064/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.11.down_proj:  96%|█████████▌| 35065/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.12.gate_proj:  96%|█████████▌| 35066/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.12.up_proj:  96%|█████████▌| 35067/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.12.down_proj:  96%|█████████▌| 35068/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.13.gate_proj:  96%|█████████▌| 35069/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.13.up_proj:  96%|█████████▌| 35070/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.13.down_proj:  96%|█████████▌| 35071/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.14.gate_proj:  96%|█████████▌| 35072/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.14.up_proj:  96%|█████████▌| 35073/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.14.down_proj:  96%|█████████▌| 35074/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.15.gate_proj:  96%|█████████▌| 35075/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.15.up_proj:  96%|█████████▌| 35076/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.15.down_proj:  96%|█████████▌| 35077/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.16.gate_proj:  96%|█████████▌| 35078/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.16.up_proj:  96%|█████████▌| 35079/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.16.down_proj:  96%|█████████▌| 35080/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.17.gate_proj:  96%|█████████▌| 35081/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.17.up_proj:  96%|█████████▌| 35082/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.17.down_proj:  96%|█████████▌| 35083/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.18.gate_proj:  96%|█████████▌| 35084/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.18.up_proj:  96%|█████████▌| 35085/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.18.down_proj:  96%|█████████▌| 35086/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.19.gate_proj:  96%|█████████▌| 35087/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.19.up_proj:  96%|█████████▌| 35088/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.19.down_proj:  96%|█████████▌| 35089/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.20.gate_proj:  96%|█████████▌| 35090/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.20.up_proj:  96%|█████████▌| 35091/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.20.down_proj:  96%|█████████▌| 35092/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.21.gate_proj:  96%|█████████▌| 35093/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.21.up_proj:  96%|█████████▌| 35094/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.21.down_proj:  96%|█████████▌| 35095/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.22.gate_proj:  96%|█████████▌| 35096/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.22.up_proj:  96%|█████████▌| 35097/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.22.down_proj:  96%|█████████▌| 35098/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.23.gate_proj:  96%|█████████▌| 35099/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.23.up_proj:  96%|█████████▌| 35100/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.23.down_proj:  96%|█████████▌| 35101/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.24.gate_proj:  96%|█████████▌| 35102/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.24.up_proj:  96%|█████████▌| 35103/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.24.down_proj:  96%|█████████▌| 35104/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.25.gate_proj:  96%|█████████▌| 35105/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.25.up_proj:  96%|█████████▌| 35106/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.25.down_proj:  96%|█████████▌| 35107/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.26.gate_proj:  96%|█████████▌| 35108/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.26.up_proj:  96%|█████████▌| 35109/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.26.down_proj:  96%|█████████▌| 35110/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.27.gate_proj:  96%|█████████▌| 35111/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.27.up_proj:  96%|█████████▌| 35112/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.27.down_proj:  96%|█████████▌| 35113/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.28.gate_proj:  96%|█████████▌| 35114/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.28.up_proj:  96%|█████████▌| 35115/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.28.down_proj:  96%|█████████▌| 35116/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.29.gate_proj:  96%|█████████▌| 35117/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.29.up_proj:  96%|█████████▌| 35118/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.29.down_proj:  96%|█████████▌| 35119/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.30.gate_proj:  96%|█████████▌| 35120/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.30.up_proj:  96%|█████████▌| 35121/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.30.down_proj:  96%|█████████▌| 35122/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.31.gate_proj:  96%|█████████▌| 35123/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.31.up_proj:  96%|█████████▌| 35124/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.31.down_proj:  96%|█████████▌| 35125/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.32.gate_proj:  96%|█████████▌| 35126/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.32.up_proj:  96%|█████████▌| 35127/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.32.down_proj:  96%|█████████▌| 35128/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.33.gate_proj:  96%|█████████▌| 35129/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.33.up_proj:  96%|█████████▌| 35130/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.33.down_proj:  96%|█████████▌| 35131/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.34.gate_proj:  96%|█████████▌| 35132/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.34.up_proj:  96%|█████████▌| 35133/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.34.down_proj:  96%|█████████▌| 35134/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.35.gate_proj:  96%|█████████▌| 35135/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.35.up_proj:  96%|█████████▌| 35136/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.35.down_proj:  96%|█████████▌| 35137/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.36.gate_proj:  96%|█████████▌| 35138/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.36.up_proj:  96%|█████████▌| 35139/36566 [00:31<00:01, 1174.00it/s]  
packing model.layers.90.mlp.experts.36.down_proj:  96%|█████████▌| 35140/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.37.gate_proj:  96%|█████████▌| 35141/36566 [00:31<00:01, 1174.00it/s]
packing model.layers.90.mlp.experts.37.gate_proj:  96%|█████████▌| 35142/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.37.up_proj:  96%|█████████▌| 35142/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.37.down_proj:  96%|█████████▌| 35143/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.38.gate_proj:  96%|█████████▌| 35144/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.38.up_proj:  96%|█████████▌| 35145/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.38.down_proj:  96%|█████████▌| 35146/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.39.gate_proj:  96%|█████████▌| 35147/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.39.up_proj:  96%|█████████▌| 35148/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.39.down_proj:  96%|█████████▌| 35149/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.40.gate_proj:  96%|█████████▌| 35150/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.40.up_proj:  96%|█████████▌| 35151/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.40.down_proj:  96%|█████████▌| 35152/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.41.gate_proj:  96%|█████████▌| 35153/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.41.up_proj:  96%|█████████▌| 35154/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.41.down_proj:  96%|█████████▌| 35155/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.42.gate_proj:  96%|█████████▌| 35156/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.42.up_proj:  96%|█████████▌| 35157/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.42.down_proj:  96%|█████████▌| 35158/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.43.gate_proj:  96%|█████████▌| 35159/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.43.up_proj:  96%|█████████▌| 35160/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.43.down_proj:  96%|█████████▌| 35161/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.44.gate_proj:  96%|█████████▌| 35162/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.44.up_proj:  96%|█████████▌| 35163/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.44.down_proj:  96%|█████████▌| 35164/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.45.gate_proj:  96%|█████████▌| 35165/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.45.up_proj:  96%|█████████▌| 35166/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.45.down_proj:  96%|█████████▌| 35167/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.46.gate_proj:  96%|█████████▌| 35168/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.46.up_proj:  96%|█████████▌| 35169/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.46.down_proj:  96%|█████████▌| 35170/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.47.gate_proj:  96%|█████████▌| 35171/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.47.up_proj:  96%|█████████▌| 35172/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.47.down_proj:  96%|█████████▌| 35173/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.48.gate_proj:  96%|█████████▌| 35174/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.48.up_proj:  96%|█████████▌| 35175/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.48.down_proj:  96%|█████████▌| 35176/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.49.gate_proj:  96%|█████████▌| 35177/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.49.up_proj:  96%|█████████▌| 35178/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.49.down_proj:  96%|█████████▌| 35179/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.50.gate_proj:  96%|█████████▌| 35180/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.50.up_proj:  96%|█████████▌| 35181/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.50.down_proj:  96%|█████████▌| 35182/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.51.gate_proj:  96%|█████████▌| 35183/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.51.up_proj:  96%|█████████▌| 35184/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.51.down_proj:  96%|█████████▌| 35185/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.52.gate_proj:  96%|█████████▌| 35186/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.52.up_proj:  96%|█████████▌| 35187/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.52.down_proj:  96%|█████████▌| 35188/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.53.gate_proj:  96%|█████████▌| 35189/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.53.up_proj:  96%|█████████▌| 35190/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.53.down_proj:  96%|█████████▌| 35191/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.54.gate_proj:  96%|█████████▌| 35192/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.54.up_proj:  96%|█████████▌| 35193/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.54.down_proj:  96%|█████████▌| 35194/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.55.gate_proj:  96%|█████████▋| 35195/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.55.up_proj:  96%|█████████▋| 35196/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.55.down_proj:  96%|█████████▋| 35197/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.56.gate_proj:  96%|█████████▋| 35198/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.56.up_proj:  96%|█████████▋| 35199/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.56.down_proj:  96%|█████████▋| 35200/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.57.gate_proj:  96%|█████████▋| 35201/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.57.up_proj:  96%|█████████▋| 35202/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.57.down_proj:  96%|█████████▋| 35203/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.58.gate_proj:  96%|█████████▋| 35204/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.58.up_proj:  96%|█████████▋| 35205/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.58.down_proj:  96%|█████████▋| 35206/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.59.gate_proj:  96%|█████████▋| 35207/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.59.up_proj:  96%|█████████▋| 35208/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.59.down_proj:  96%|█████████▋| 35209/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.60.gate_proj:  96%|█████████▋| 35210/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.60.up_proj:  96%|█████████▋| 35211/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.60.down_proj:  96%|█████████▋| 35212/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.61.gate_proj:  96%|█████████▋| 35213/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.61.up_proj:  96%|█████████▋| 35214/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.61.down_proj:  96%|█████████▋| 35215/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.62.gate_proj:  96%|█████████▋| 35216/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.62.up_proj:  96%|█████████▋| 35217/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.62.down_proj:  96%|█████████▋| 35218/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.63.gate_proj:  96%|█████████▋| 35219/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.63.up_proj:  96%|█████████▋| 35220/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.63.down_proj:  96%|█████████▋| 35221/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.64.gate_proj:  96%|█████████▋| 35222/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.64.up_proj:  96%|█████████▋| 35223/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.64.down_proj:  96%|█████████▋| 35224/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.65.gate_proj:  96%|█████████▋| 35225/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.65.up_proj:  96%|█████████▋| 35226/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.65.down_proj:  96%|█████████▋| 35227/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.66.gate_proj:  96%|█████████▋| 35228/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.66.up_proj:  96%|█████████▋| 35229/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.66.down_proj:  96%|█████████▋| 35230/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.67.gate_proj:  96%|█████████▋| 35231/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.67.up_proj:  96%|█████████▋| 35232/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.67.down_proj:  96%|█████████▋| 35233/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.68.gate_proj:  96%|█████████▋| 35234/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.68.up_proj:  96%|█████████▋| 35235/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.68.down_proj:  96%|█████████▋| 35236/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.69.gate_proj:  96%|█████████▋| 35237/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.69.up_proj:  96%|█████████▋| 35238/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.69.down_proj:  96%|█████████▋| 35239/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.70.gate_proj:  96%|█████████▋| 35240/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.70.up_proj:  96%|█████████▋| 35241/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.70.down_proj:  96%|█████████▋| 35242/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.71.gate_proj:  96%|█████████▋| 35243/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.71.up_proj:  96%|█████████▋| 35244/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.71.down_proj:  96%|█████████▋| 35245/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.72.gate_proj:  96%|█████████▋| 35246/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.72.up_proj:  96%|█████████▋| 35247/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.72.down_proj:  96%|█████████▋| 35248/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.73.gate_proj:  96%|█████████▋| 35249/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.73.up_proj:  96%|█████████▋| 35250/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.73.down_proj:  96%|█████████▋| 35251/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.74.gate_proj:  96%|█████████▋| 35252/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.74.up_proj:  96%|█████████▋| 35253/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.74.down_proj:  96%|█████████▋| 35254/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.75.gate_proj:  96%|█████████▋| 35255/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.75.up_proj:  96%|█████████▋| 35256/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.75.down_proj:  96%|█████████▋| 35257/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.76.gate_proj:  96%|█████████▋| 35258/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.76.up_proj:  96%|█████████▋| 35259/36566 [00:31<00:01, 1174.56it/s]  
packing model.layers.90.mlp.experts.76.down_proj:  96%|█████████▋| 35260/36566 [00:31<00:01, 1174.56it/s]
packing model.layers.90.mlp.experts.76.down_proj:  96%|█████████▋| 35261/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.77.gate_proj:  96%|█████████▋| 35261/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.77.up_proj:  96%|█████████▋| 35262/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.77.down_proj:  96%|█████████▋| 35263/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.78.gate_proj:  96%|█████████▋| 35264/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.78.up_proj:  96%|█████████▋| 35265/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.78.down_proj:  96%|█████████▋| 35266/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.79.gate_proj:  96%|█████████▋| 35267/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.79.up_proj:  96%|█████████▋| 35268/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.79.down_proj:  96%|█████████▋| 35269/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.80.gate_proj:  96%|█████████▋| 35270/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.80.up_proj:  96%|█████████▋| 35271/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.80.down_proj:  96%|█████████▋| 35272/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.81.gate_proj:  96%|█████████▋| 35273/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.81.up_proj:  96%|█████████▋| 35274/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.81.down_proj:  96%|█████████▋| 35275/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.82.gate_proj:  96%|█████████▋| 35276/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.82.up_proj:  96%|█████████▋| 35277/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.82.down_proj:  96%|█████████▋| 35278/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.83.gate_proj:  96%|█████████▋| 35279/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.83.up_proj:  96%|█████████▋| 35280/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.83.down_proj:  96%|█████████▋| 35281/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.84.gate_proj:  96%|█████████▋| 35282/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.84.up_proj:  96%|█████████▋| 35283/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.84.down_proj:  96%|█████████▋| 35284/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.85.gate_proj:  96%|█████████▋| 35285/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.85.up_proj:  96%|█████████▋| 35286/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.85.down_proj:  97%|█████████▋| 35287/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.86.gate_proj:  97%|█████████▋| 35288/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.86.up_proj:  97%|█████████▋| 35289/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.86.down_proj:  97%|█████████▋| 35290/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.87.gate_proj:  97%|█████████▋| 35291/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.87.up_proj:  97%|█████████▋| 35292/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.87.down_proj:  97%|█████████▋| 35293/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.88.gate_proj:  97%|█████████▋| 35294/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.88.up_proj:  97%|█████████▋| 35295/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.88.down_proj:  97%|█████████▋| 35296/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.89.gate_proj:  97%|█████████▋| 35297/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.89.up_proj:  97%|█████████▋| 35298/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.89.down_proj:  97%|█████████▋| 35299/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.90.gate_proj:  97%|█████████▋| 35300/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.90.up_proj:  97%|█████████▋| 35301/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.90.down_proj:  97%|█████████▋| 35302/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.91.gate_proj:  97%|█████████▋| 35303/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.91.up_proj:  97%|█████████▋| 35304/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.91.down_proj:  97%|█████████▋| 35305/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.92.gate_proj:  97%|█████████▋| 35306/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.92.up_proj:  97%|█████████▋| 35307/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.92.down_proj:  97%|█████████▋| 35308/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.93.gate_proj:  97%|█████████▋| 35309/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.93.up_proj:  97%|█████████▋| 35310/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.93.down_proj:  97%|█████████▋| 35311/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.94.gate_proj:  97%|█████████▋| 35312/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.94.up_proj:  97%|█████████▋| 35313/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.94.down_proj:  97%|█████████▋| 35314/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.95.gate_proj:  97%|█████████▋| 35315/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.95.up_proj:  97%|█████████▋| 35316/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.95.down_proj:  97%|█████████▋| 35317/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.96.gate_proj:  97%|█████████▋| 35318/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.96.up_proj:  97%|█████████▋| 35319/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.96.down_proj:  97%|█████████▋| 35320/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.97.gate_proj:  97%|█████████▋| 35321/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.97.up_proj:  97%|█████████▋| 35322/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.97.down_proj:  97%|█████████▋| 35323/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.98.gate_proj:  97%|█████████▋| 35324/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.98.up_proj:  97%|█████████▋| 35325/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.98.down_proj:  97%|█████████▋| 35326/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.99.gate_proj:  97%|█████████▋| 35327/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.99.up_proj:  97%|█████████▋| 35328/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.99.down_proj:  97%|█████████▋| 35329/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.100.gate_proj:  97%|█████████▋| 35330/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.100.up_proj:  97%|█████████▋| 35331/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.100.down_proj:  97%|█████████▋| 35332/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.101.gate_proj:  97%|█████████▋| 35333/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.101.up_proj:  97%|█████████▋| 35334/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.101.down_proj:  97%|█████████▋| 35335/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.102.gate_proj:  97%|█████████▋| 35336/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.102.up_proj:  97%|█████████▋| 35337/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.102.down_proj:  97%|█████████▋| 35338/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.103.gate_proj:  97%|█████████▋| 35339/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.103.up_proj:  97%|█████████▋| 35340/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.103.down_proj:  97%|█████████▋| 35341/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.104.gate_proj:  97%|█████████▋| 35342/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.104.up_proj:  97%|█████████▋| 35343/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.104.down_proj:  97%|█████████▋| 35344/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.105.gate_proj:  97%|█████████▋| 35345/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.105.up_proj:  97%|█████████▋| 35346/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.105.down_proj:  97%|█████████▋| 35347/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.106.gate_proj:  97%|█████████▋| 35348/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.106.up_proj:  97%|█████████▋| 35349/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.106.down_proj:  97%|█████████▋| 35350/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.107.gate_proj:  97%|█████████▋| 35351/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.107.up_proj:  97%|█████████▋| 35352/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.107.down_proj:  97%|█████████▋| 35353/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.108.gate_proj:  97%|█████████▋| 35354/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.108.up_proj:  97%|█████████▋| 35355/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.108.down_proj:  97%|█████████▋| 35356/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.109.gate_proj:  97%|█████████▋| 35357/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.109.up_proj:  97%|█████████▋| 35358/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.109.down_proj:  97%|█████████▋| 35359/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.110.gate_proj:  97%|█████████▋| 35360/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.110.up_proj:  97%|█████████▋| 35361/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.110.down_proj:  97%|█████████▋| 35362/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.111.gate_proj:  97%|█████████▋| 35363/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.111.up_proj:  97%|█████████▋| 35364/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.111.down_proj:  97%|█████████▋| 35365/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.112.gate_proj:  97%|█████████▋| 35366/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.112.up_proj:  97%|█████████▋| 35367/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.112.down_proj:  97%|█████████▋| 35368/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.113.gate_proj:  97%|█████████▋| 35369/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.113.up_proj:  97%|█████████▋| 35370/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.113.down_proj:  97%|█████████▋| 35371/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.114.gate_proj:  97%|█████████▋| 35372/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.114.up_proj:  97%|█████████▋| 35373/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.114.down_proj:  97%|█████████▋| 35374/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.115.gate_proj:  97%|█████████▋| 35375/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.115.up_proj:  97%|█████████▋| 35376/36566 [00:31<00:01, 1176.48it/s]  
packing model.layers.90.mlp.experts.115.down_proj:  97%|█████████▋| 35377/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.116.gate_proj:  97%|█████████▋| 35378/36566 [00:31<00:01, 1176.48it/s]
packing model.layers.90.mlp.experts.116.gate_proj:  97%|█████████▋| 35379/36566 [00:31<00:01, 1177.07it/s]
packing model.layers.90.mlp.experts.116.up_proj:  97%|█████████▋| 35379/36566 [00:31<00:01, 1177.07it/s]  
packing model.layers.90.mlp.experts.116.down_proj:  97%|█████████▋| 35380/36566 [00:31<00:01, 1177.07it/s]
packing model.layers.90.mlp.experts.117.gate_proj:  97%|█████████▋| 35381/36566 [00:31<00:01, 1177.07it/s]
packing model.layers.90.mlp.experts.117.up_proj:  97%|█████████▋| 35382/36566 [00:31<00:01, 1177.07it/s]  
packing model.layers.90.mlp.experts.117.down_proj:  97%|█████████▋| 35383/36566 [00:31<00:01, 1177.07it/s]
packing model.layers.90.mlp.experts.118.gate_proj:  97%|█████████▋| 35384/36566 [00:31<00:01, 1177.07it/s]
packing model.layers.90.mlp.experts.118.up_proj:  97%|█████████▋| 35385/36566 [00:31<00:01, 1177.07it/s]  
packing model.layers.90.mlp.experts.118.down_proj:  97%|█████████▋| 35386/36566 [00:31<00:01, 1177.07it/s]
packing model.layers.90.mlp.experts.119.gate_proj:  97%|█████████▋| 35387/36566 [00:31<00:01, 1177.07it/s]
packing model.layers.90.mlp.experts.119.up_proj:  97%|█████████▋| 35388/36566 [00:31<00:01, 1177.07it/s]  
packing model.layers.90.mlp.experts.119.down_proj:  97%|█████████▋| 35389/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.90.mlp.experts.120.gate_proj:  97%|█████████▋| 35390/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.90.mlp.experts.120.up_proj:  97%|█████████▋| 35391/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.90.mlp.experts.120.down_proj:  97%|█████████▋| 35392/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.90.mlp.experts.121.gate_proj:  97%|█████████▋| 35393/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.90.mlp.experts.121.up_proj:  97%|█████████▋| 35394/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.90.mlp.experts.121.down_proj:  97%|█████████▋| 35395/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.90.mlp.experts.122.gate_proj:  97%|█████████▋| 35396/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.90.mlp.experts.122.up_proj:  97%|█████████▋| 35397/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.90.mlp.experts.122.down_proj:  97%|█████████▋| 35398/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.90.mlp.experts.123.gate_proj:  97%|█████████▋| 35399/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.90.mlp.experts.123.up_proj:  97%|█████████▋| 35400/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.90.mlp.experts.123.down_proj:  97%|█████████▋| 35401/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.90.mlp.experts.124.gate_proj:  97%|█████████▋| 35402/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.90.mlp.experts.124.up_proj:  97%|█████████▋| 35403/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.90.mlp.experts.124.down_proj:  97%|█████████▋| 35404/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.90.mlp.experts.125.gate_proj:  97%|█████████▋| 35405/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.90.mlp.experts.125.up_proj:  97%|█████████▋| 35406/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.90.mlp.experts.125.down_proj:  97%|█████████▋| 35407/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.90.mlp.experts.126.gate_proj:  97%|█████████▋| 35408/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.90.mlp.experts.126.up_proj:  97%|█████████▋| 35409/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.90.mlp.experts.126.down_proj:  97%|█████████▋| 35410/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.90.mlp.experts.127.gate_proj:  97%|█████████▋| 35411/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.90.mlp.experts.127.up_proj:  97%|█████████▋| 35412/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.90.mlp.experts.127.down_proj:  97%|█████████▋| 35413/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.0.gate_proj:  97%|█████████▋| 35414/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.0.up_proj:  97%|█████████▋| 35415/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.0.down_proj:  97%|█████████▋| 35416/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.1.gate_proj:  97%|█████████▋| 35417/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.1.up_proj:  97%|█████████▋| 35418/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.1.down_proj:  97%|█████████▋| 35419/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.2.gate_proj:  97%|█████████▋| 35420/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.2.up_proj:  97%|█████████▋| 35421/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.2.down_proj:  97%|█████████▋| 35422/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.3.gate_proj:  97%|█████████▋| 35423/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.3.up_proj:  97%|█████████▋| 35424/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.3.down_proj:  97%|█████████▋| 35425/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.4.gate_proj:  97%|█████████▋| 35426/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.4.up_proj:  97%|█████████▋| 35427/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.4.down_proj:  97%|█████████▋| 35428/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.5.gate_proj:  97%|█████████▋| 35429/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.5.up_proj:  97%|█████████▋| 35430/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.5.down_proj:  97%|█████████▋| 35431/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.6.gate_proj:  97%|█████████▋| 35432/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.6.up_proj:  97%|█████████▋| 35433/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.6.down_proj:  97%|█████████▋| 35434/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.7.gate_proj:  97%|█████████▋| 35435/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.7.up_proj:  97%|█████████▋| 35436/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.7.down_proj:  97%|█████████▋| 35437/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.8.gate_proj:  97%|█████████▋| 35438/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.8.up_proj:  97%|█████████▋| 35439/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.8.down_proj:  97%|█████████▋| 35440/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.9.gate_proj:  97%|█████████▋| 35441/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.9.up_proj:  97%|█████████▋| 35442/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.9.down_proj:  97%|█████████▋| 35443/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.10.gate_proj:  97%|█████████▋| 35444/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.10.up_proj:  97%|█████████▋| 35445/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.10.down_proj:  97%|█████████▋| 35446/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.11.gate_proj:  97%|█████████▋| 35447/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.11.up_proj:  97%|█████████▋| 35448/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.11.down_proj:  97%|█████████▋| 35449/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.12.gate_proj:  97%|█████████▋| 35450/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.12.up_proj:  97%|█████████▋| 35451/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.12.down_proj:  97%|█████████▋| 35452/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.13.gate_proj:  97%|█████████▋| 35453/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.13.up_proj:  97%|█████████▋| 35454/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.13.down_proj:  97%|█████████▋| 35455/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.14.gate_proj:  97%|█████████▋| 35456/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.14.up_proj:  97%|█████████▋| 35457/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.14.down_proj:  97%|█████████▋| 35458/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.15.gate_proj:  97%|█████████▋| 35459/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.15.up_proj:  97%|█████████▋| 35460/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.15.down_proj:  97%|█████████▋| 35461/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.16.gate_proj:  97%|█████████▋| 35462/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.16.up_proj:  97%|█████████▋| 35463/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.16.down_proj:  97%|█████████▋| 35464/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.17.gate_proj:  97%|█████████▋| 35465/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.17.up_proj:  97%|█████████▋| 35466/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.17.down_proj:  97%|█████████▋| 35467/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.18.gate_proj:  97%|█████████▋| 35468/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.18.up_proj:  97%|█████████▋| 35469/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.18.down_proj:  97%|█████████▋| 35470/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.19.gate_proj:  97%|█████████▋| 35471/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.19.up_proj:  97%|█████████▋| 35472/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.19.down_proj:  97%|█████████▋| 35473/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.20.gate_proj:  97%|█████████▋| 35474/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.20.up_proj:  97%|█████████▋| 35475/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.20.down_proj:  97%|█████████▋| 35476/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.21.gate_proj:  97%|█████████▋| 35477/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.21.up_proj:  97%|█████████▋| 35478/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.21.down_proj:  97%|█████████▋| 35479/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.22.gate_proj:  97%|█████████▋| 35480/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.22.up_proj:  97%|█████████▋| 35481/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.22.down_proj:  97%|█████████▋| 35482/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.23.gate_proj:  97%|█████████▋| 35483/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.23.up_proj:  97%|█████████▋| 35484/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.23.down_proj:  97%|█████████▋| 35485/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.24.gate_proj:  97%|█████████▋| 35486/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.24.up_proj:  97%|█████████▋| 35487/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.24.down_proj:  97%|█████████▋| 35488/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.25.gate_proj:  97%|█████████▋| 35489/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.25.up_proj:  97%|█████████▋| 35490/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.25.down_proj:  97%|█████████▋| 35491/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.26.gate_proj:  97%|█████████▋| 35492/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.26.up_proj:  97%|█████████▋| 35493/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.26.down_proj:  97%|█████████▋| 35494/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.27.gate_proj:  97%|█████████▋| 35495/36566 [00:31<00:00, 1177.07it/s]
packing model.layers.91.mlp.experts.27.up_proj:  97%|█████████▋| 35496/36566 [00:31<00:00, 1177.07it/s]  
packing model.layers.91.mlp.experts.27.up_proj:  97%|█████████▋| 35497/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.27.down_proj:  97%|█████████▋| 35497/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.28.gate_proj:  97%|█████████▋| 35498/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.28.up_proj:  97%|█████████▋| 35499/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.28.down_proj:  97%|█████████▋| 35500/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.29.gate_proj:  97%|█████████▋| 35501/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.29.up_proj:  97%|█████████▋| 35502/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.29.down_proj:  97%|█████████▋| 35503/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.30.gate_proj:  97%|█████████▋| 35504/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.30.up_proj:  97%|█████████▋| 35505/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.30.down_proj:  97%|█████████▋| 35506/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.31.gate_proj:  97%|█████████▋| 35507/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.31.up_proj:  97%|█████████▋| 35508/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.31.down_proj:  97%|█████████▋| 35509/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.32.gate_proj:  97%|█████████▋| 35510/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.32.up_proj:  97%|█████████▋| 35511/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.32.down_proj:  97%|█████████▋| 35512/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.33.gate_proj:  97%|█████████▋| 35513/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.33.up_proj:  97%|█████████▋| 35514/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.33.down_proj:  97%|█████████▋| 35515/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.34.gate_proj:  97%|█████████▋| 35516/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.34.up_proj:  97%|█████████▋| 35517/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.34.down_proj:  97%|█████████▋| 35518/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.35.gate_proj:  97%|█████████▋| 35519/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.35.up_proj:  97%|█████████▋| 35520/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.35.down_proj:  97%|█████████▋| 35521/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.36.gate_proj:  97%|█████████▋| 35522/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.36.up_proj:  97%|█████████▋| 35523/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.36.down_proj:  97%|█████████▋| 35524/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.37.gate_proj:  97%|█████████▋| 35525/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.37.up_proj:  97%|█████████▋| 35526/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.37.down_proj:  97%|█████████▋| 35527/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.38.gate_proj:  97%|█████████▋| 35528/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.38.up_proj:  97%|█████████▋| 35529/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.38.down_proj:  97%|█████████▋| 35530/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.39.gate_proj:  97%|█████████▋| 35531/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.39.up_proj:  97%|█████████▋| 35532/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.39.down_proj:  97%|█████████▋| 35533/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.40.gate_proj:  97%|█████████▋| 35534/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.40.up_proj:  97%|█████████▋| 35535/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.40.down_proj:  97%|█████████▋| 35536/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.41.gate_proj:  97%|█████████▋| 35537/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.41.up_proj:  97%|█████████▋| 35538/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.41.down_proj:  97%|█████████▋| 35539/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.42.gate_proj:  97%|█████████▋| 35540/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.42.up_proj:  97%|█████████▋| 35541/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.42.down_proj:  97%|█████████▋| 35542/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.43.gate_proj:  97%|█████████▋| 35543/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.43.up_proj:  97%|█████████▋| 35544/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.43.down_proj:  97%|█████████▋| 35545/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.44.gate_proj:  97%|█████████▋| 35546/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.44.up_proj:  97%|█████████▋| 35547/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.44.down_proj:  97%|█████████▋| 35548/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.45.gate_proj:  97%|█████████▋| 35549/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.45.up_proj:  97%|█████████▋| 35550/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.45.down_proj:  97%|█████████▋| 35551/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.46.gate_proj:  97%|█████████▋| 35552/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.46.up_proj:  97%|█████████▋| 35553/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.46.down_proj:  97%|█████████▋| 35554/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.47.gate_proj:  97%|█████████▋| 35555/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.47.up_proj:  97%|█████████▋| 35556/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.47.down_proj:  97%|█████████▋| 35557/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.48.gate_proj:  97%|█████████▋| 35558/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.48.up_proj:  97%|█████████▋| 35559/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.48.down_proj:  97%|█████████▋| 35560/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.49.gate_proj:  97%|█████████▋| 35561/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.49.up_proj:  97%|█████████▋| 35562/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.49.down_proj:  97%|█████████▋| 35563/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.50.gate_proj:  97%|█████████▋| 35564/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.50.up_proj:  97%|█████████▋| 35565/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.50.down_proj:  97%|█████████▋| 35566/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.51.gate_proj:  97%|█████████▋| 35567/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.51.up_proj:  97%|█████████▋| 35568/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.51.down_proj:  97%|█████████▋| 35569/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.52.gate_proj:  97%|█████████▋| 35570/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.52.up_proj:  97%|█████████▋| 35571/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.52.down_proj:  97%|█████████▋| 35572/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.53.gate_proj:  97%|█████████▋| 35573/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.53.up_proj:  97%|█████████▋| 35574/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.53.down_proj:  97%|█████████▋| 35575/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.54.gate_proj:  97%|█████████▋| 35576/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.54.up_proj:  97%|█████████▋| 35577/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.54.down_proj:  97%|█████████▋| 35578/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.55.gate_proj:  97%|█████████▋| 35579/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.55.up_proj:  97%|█████████▋| 35580/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.55.down_proj:  97%|█████████▋| 35581/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.56.gate_proj:  97%|█████████▋| 35582/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.56.up_proj:  97%|█████████▋| 35583/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.56.down_proj:  97%|█████████▋| 35584/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.57.gate_proj:  97%|█████████▋| 35585/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.57.up_proj:  97%|█████████▋| 35586/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.57.down_proj:  97%|█████████▋| 35587/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.58.gate_proj:  97%|█████████▋| 35588/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.58.up_proj:  97%|█████████▋| 35589/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.58.down_proj:  97%|█████████▋| 35590/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.59.gate_proj:  97%|█████████▋| 35591/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.59.up_proj:  97%|█████████▋| 35592/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.59.down_proj:  97%|█████████▋| 35593/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.60.gate_proj:  97%|█████████▋| 35594/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.60.up_proj:  97%|█████████▋| 35595/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.60.down_proj:  97%|█████████▋| 35596/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.61.gate_proj:  97%|█████████▋| 35597/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.61.up_proj:  97%|█████████▋| 35598/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.61.down_proj:  97%|█████████▋| 35599/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.62.gate_proj:  97%|█████████▋| 35600/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.62.up_proj:  97%|█████████▋| 35601/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.62.down_proj:  97%|█████████▋| 35602/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.63.gate_proj:  97%|█████████▋| 35603/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.63.up_proj:  97%|█████████▋| 35604/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.63.down_proj:  97%|█████████▋| 35605/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.64.gate_proj:  97%|█████████▋| 35606/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.64.up_proj:  97%|█████████▋| 35607/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.64.down_proj:  97%|█████████▋| 35608/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.65.gate_proj:  97%|█████████▋| 35609/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.65.up_proj:  97%|█████████▋| 35610/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.65.down_proj:  97%|█████████▋| 35611/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.66.gate_proj:  97%|█████████▋| 35612/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.66.up_proj:  97%|█████████▋| 35613/36566 [00:31<00:00, 1175.16it/s]  
packing model.layers.91.mlp.experts.66.down_proj:  97%|█████████▋| 35614/36566 [00:31<00:00, 1175.16it/s]
packing model.layers.91.mlp.experts.66.down_proj:  97%|█████████▋| 35615/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.67.gate_proj:  97%|█████████▋| 35615/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.67.up_proj:  97%|█████████▋| 35616/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.67.down_proj:  97%|█████████▋| 35617/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.68.gate_proj:  97%|█████████▋| 35618/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.68.up_proj:  97%|█████████▋| 35619/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.68.down_proj:  97%|█████████▋| 35620/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.69.gate_proj:  97%|█████████▋| 35621/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.69.up_proj:  97%|█████████▋| 35622/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.69.down_proj:  97%|█████████▋| 35623/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.70.gate_proj:  97%|█████████▋| 35624/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.70.up_proj:  97%|█████████▋| 35625/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.70.down_proj:  97%|█████████▋| 35626/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.71.gate_proj:  97%|█████████▋| 35627/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.71.up_proj:  97%|█████████▋| 35628/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.71.down_proj:  97%|█████████▋| 35629/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.72.gate_proj:  97%|█████████▋| 35630/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.72.up_proj:  97%|█████████▋| 35631/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.72.down_proj:  97%|█████████▋| 35632/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.73.gate_proj:  97%|█████████▋| 35633/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.73.up_proj:  97%|█████████▋| 35634/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.73.down_proj:  97%|█████████▋| 35635/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.74.gate_proj:  97%|█████████▋| 35636/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.74.up_proj:  97%|█████████▋| 35637/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.74.down_proj:  97%|█████████▋| 35638/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.75.gate_proj:  97%|█████████▋| 35639/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.75.up_proj:  97%|█████████▋| 35640/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.75.down_proj:  97%|█████████▋| 35641/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.76.gate_proj:  97%|█████████▋| 35642/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.76.up_proj:  97%|█████████▋| 35643/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.76.down_proj:  97%|█████████▋| 35644/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.77.gate_proj:  97%|█████████▋| 35645/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.77.up_proj:  97%|█████████▋| 35646/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.77.down_proj:  97%|█████████▋| 35647/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.78.gate_proj:  97%|█████████▋| 35648/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.78.up_proj:  97%|█████████▋| 35649/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.78.down_proj:  97%|█████████▋| 35650/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.79.gate_proj:  97%|█████████▋| 35651/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.79.up_proj:  98%|█████████▊| 35652/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.79.down_proj:  98%|█████████▊| 35653/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.80.gate_proj:  98%|█████████▊| 35654/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.80.up_proj:  98%|█████████▊| 35655/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.80.down_proj:  98%|█████████▊| 35656/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.81.gate_proj:  98%|█████████▊| 35657/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.81.up_proj:  98%|█████████▊| 35658/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.81.down_proj:  98%|█████████▊| 35659/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.82.gate_proj:  98%|█████████▊| 35660/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.82.up_proj:  98%|█████████▊| 35661/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.82.down_proj:  98%|█████████▊| 35662/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.83.gate_proj:  98%|█████████▊| 35663/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.83.up_proj:  98%|█████████▊| 35664/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.83.down_proj:  98%|█████████▊| 35665/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.84.gate_proj:  98%|█████████▊| 35666/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.84.up_proj:  98%|█████████▊| 35667/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.84.down_proj:  98%|█████████▊| 35668/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.85.gate_proj:  98%|█████████▊| 35669/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.85.up_proj:  98%|█████████▊| 35670/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.85.down_proj:  98%|█████████▊| 35671/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.86.gate_proj:  98%|█████████▊| 35672/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.86.up_proj:  98%|█████████▊| 35673/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.86.down_proj:  98%|█████████▊| 35674/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.87.gate_proj:  98%|█████████▊| 35675/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.87.up_proj:  98%|█████████▊| 35676/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.87.down_proj:  98%|█████████▊| 35677/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.88.gate_proj:  98%|█████████▊| 35678/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.88.up_proj:  98%|█████████▊| 35679/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.88.down_proj:  98%|█████████▊| 35680/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.89.gate_proj:  98%|█████████▊| 35681/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.89.up_proj:  98%|█████████▊| 35682/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.89.down_proj:  98%|█████████▊| 35683/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.90.gate_proj:  98%|█████████▊| 35684/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.90.up_proj:  98%|█████████▊| 35685/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.90.down_proj:  98%|█████████▊| 35686/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.91.gate_proj:  98%|█████████▊| 35687/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.91.up_proj:  98%|█████████▊| 35688/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.91.down_proj:  98%|█████████▊| 35689/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.92.gate_proj:  98%|█████████▊| 35690/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.92.up_proj:  98%|█████████▊| 35691/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.92.down_proj:  98%|█████████▊| 35692/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.93.gate_proj:  98%|█████████▊| 35693/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.93.up_proj:  98%|█████████▊| 35694/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.93.down_proj:  98%|█████████▊| 35695/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.94.gate_proj:  98%|█████████▊| 35696/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.94.up_proj:  98%|█████████▊| 35697/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.94.down_proj:  98%|█████████▊| 35698/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.95.gate_proj:  98%|█████████▊| 35699/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.95.up_proj:  98%|█████████▊| 35700/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.95.down_proj:  98%|█████████▊| 35701/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.96.gate_proj:  98%|█████████▊| 35702/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.96.up_proj:  98%|█████████▊| 35703/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.96.down_proj:  98%|█████████▊| 35704/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.97.gate_proj:  98%|█████████▊| 35705/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.97.up_proj:  98%|█████████▊| 35706/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.97.down_proj:  98%|█████████▊| 35707/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.98.gate_proj:  98%|█████████▊| 35708/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.98.up_proj:  98%|█████████▊| 35709/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.98.down_proj:  98%|█████████▊| 35710/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.99.gate_proj:  98%|█████████▊| 35711/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.99.up_proj:  98%|█████████▊| 35712/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.99.down_proj:  98%|█████████▊| 35713/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.100.gate_proj:  98%|█████████▊| 35714/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.100.up_proj:  98%|█████████▊| 35715/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.100.down_proj:  98%|█████████▊| 35716/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.101.gate_proj:  98%|█████████▊| 35717/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.101.up_proj:  98%|█████████▊| 35718/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.101.down_proj:  98%|█████████▊| 35719/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.102.gate_proj:  98%|█████████▊| 35720/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.102.up_proj:  98%|█████████▊| 35721/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.102.down_proj:  98%|█████████▊| 35722/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.103.gate_proj:  98%|█████████▊| 35723/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.103.up_proj:  98%|█████████▊| 35724/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.103.down_proj:  98%|█████████▊| 35725/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.104.gate_proj:  98%|█████████▊| 35726/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.104.up_proj:  98%|█████████▊| 35727/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.104.down_proj:  98%|█████████▊| 35728/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.105.gate_proj:  98%|█████████▊| 35729/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.105.up_proj:  98%|█████████▊| 35730/36566 [00:31<00:00, 1175.91it/s]  
packing model.layers.91.mlp.experts.105.down_proj:  98%|█████████▊| 35731/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.106.gate_proj:  98%|█████████▊| 35732/36566 [00:31<00:00, 1175.91it/s]
packing model.layers.91.mlp.experts.106.gate_proj:  98%|█████████▊| 35733/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.106.up_proj:  98%|█████████▊| 35733/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.106.down_proj:  98%|█████████▊| 35734/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.107.gate_proj:  98%|█████████▊| 35735/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.107.up_proj:  98%|█████████▊| 35736/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.107.down_proj:  98%|█████████▊| 35737/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.108.gate_proj:  98%|█████████▊| 35738/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.108.up_proj:  98%|█████████▊| 35739/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.108.down_proj:  98%|█████████▊| 35740/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.109.gate_proj:  98%|█████████▊| 35741/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.109.up_proj:  98%|█████████▊| 35742/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.109.down_proj:  98%|█████████▊| 35743/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.110.gate_proj:  98%|█████████▊| 35744/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.110.up_proj:  98%|█████████▊| 35745/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.110.down_proj:  98%|█████████▊| 35746/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.111.gate_proj:  98%|█████████▊| 35747/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.111.up_proj:  98%|█████████▊| 35748/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.111.down_proj:  98%|█████████▊| 35749/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.112.gate_proj:  98%|█████████▊| 35750/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.112.up_proj:  98%|█████████▊| 35751/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.112.down_proj:  98%|█████████▊| 35752/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.113.gate_proj:  98%|█████████▊| 35753/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.113.up_proj:  98%|█████████▊| 35754/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.113.down_proj:  98%|█████████▊| 35755/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.114.gate_proj:  98%|█████████▊| 35756/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.114.up_proj:  98%|█████████▊| 35757/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.114.down_proj:  98%|█████████▊| 35758/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.115.gate_proj:  98%|█████████▊| 35759/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.115.up_proj:  98%|█████████▊| 35760/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.115.down_proj:  98%|█████████▊| 35761/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.116.gate_proj:  98%|█████████▊| 35762/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.116.up_proj:  98%|█████████▊| 35763/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.116.down_proj:  98%|█████████▊| 35764/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.117.gate_proj:  98%|█████████▊| 35765/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.117.up_proj:  98%|█████████▊| 35766/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.117.down_proj:  98%|█████████▊| 35767/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.118.gate_proj:  98%|█████████▊| 35768/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.118.up_proj:  98%|█████████▊| 35769/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.118.down_proj:  98%|█████████▊| 35770/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.119.gate_proj:  98%|█████████▊| 35771/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.119.up_proj:  98%|█████████▊| 35772/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.119.down_proj:  98%|█████████▊| 35773/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.120.gate_proj:  98%|█████████▊| 35774/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.120.up_proj:  98%|█████████▊| 35775/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.120.down_proj:  98%|█████████▊| 35776/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.121.gate_proj:  98%|█████████▊| 35777/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.121.up_proj:  98%|█████████▊| 35778/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.121.down_proj:  98%|█████████▊| 35779/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.122.gate_proj:  98%|█████████▊| 35780/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.122.up_proj:  98%|█████████▊| 35781/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.122.down_proj:  98%|█████████▊| 35782/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.123.gate_proj:  98%|█████████▊| 35783/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.123.up_proj:  98%|█████████▊| 35784/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.123.down_proj:  98%|█████████▊| 35785/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.124.gate_proj:  98%|█████████▊| 35786/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.124.up_proj:  98%|█████████▊| 35787/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.124.down_proj:  98%|█████████▊| 35788/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.125.gate_proj:  98%|█████████▊| 35789/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.125.up_proj:  98%|█████████▊| 35790/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.125.down_proj:  98%|█████████▊| 35791/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.126.gate_proj:  98%|█████████▊| 35792/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.126.up_proj:  98%|█████████▊| 35793/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.126.down_proj:  98%|█████████▊| 35794/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.127.gate_proj:  98%|█████████▊| 35795/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.91.mlp.experts.127.up_proj:  98%|█████████▊| 35796/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.91.mlp.experts.127.down_proj:  98%|█████████▊| 35797/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.0.gate_proj:  98%|█████████▊| 35798/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.0.up_proj:  98%|█████████▊| 35799/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.0.down_proj:  98%|█████████▊| 35800/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.1.gate_proj:  98%|█████████▊| 35801/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.1.up_proj:  98%|█████████▊| 35802/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.1.down_proj:  98%|█████████▊| 35803/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.2.gate_proj:  98%|█████████▊| 35804/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.2.up_proj:  98%|█████████▊| 35805/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.2.down_proj:  98%|█████████▊| 35806/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.3.gate_proj:  98%|█████████▊| 35807/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.3.up_proj:  98%|█████████▊| 35808/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.3.down_proj:  98%|█████████▊| 35809/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.4.gate_proj:  98%|█████████▊| 35810/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.4.up_proj:  98%|█████████▊| 35811/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.4.down_proj:  98%|█████████▊| 35812/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.5.gate_proj:  98%|█████████▊| 35813/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.5.up_proj:  98%|█████████▊| 35814/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.5.down_proj:  98%|█████████▊| 35815/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.6.gate_proj:  98%|█████████▊| 35816/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.6.up_proj:  98%|█████████▊| 35817/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.6.down_proj:  98%|█████████▊| 35818/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.7.gate_proj:  98%|█████████▊| 35819/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.7.up_proj:  98%|█████████▊| 35820/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.7.down_proj:  98%|█████████▊| 35821/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.8.gate_proj:  98%|█████████▊| 35822/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.8.up_proj:  98%|█████████▊| 35823/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.8.down_proj:  98%|█████████▊| 35824/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.9.gate_proj:  98%|█████████▊| 35825/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.9.up_proj:  98%|█████████▊| 35826/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.9.down_proj:  98%|█████████▊| 35827/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.10.gate_proj:  98%|█████████▊| 35828/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.10.up_proj:  98%|█████████▊| 35829/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.10.down_proj:  98%|█████████▊| 35830/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.11.gate_proj:  98%|█████████▊| 35831/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.11.up_proj:  98%|█████████▊| 35832/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.11.down_proj:  98%|█████████▊| 35833/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.12.gate_proj:  98%|█████████▊| 35834/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.12.up_proj:  98%|█████████▊| 35835/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.12.down_proj:  98%|█████████▊| 35836/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.13.gate_proj:  98%|█████████▊| 35837/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.13.up_proj:  98%|█████████▊| 35838/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.13.down_proj:  98%|█████████▊| 35839/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.14.gate_proj:  98%|█████████▊| 35840/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.14.up_proj:  98%|█████████▊| 35841/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.14.down_proj:  98%|█████████▊| 35842/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.15.gate_proj:  98%|█████████▊| 35843/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.15.up_proj:  98%|█████████▊| 35844/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.15.down_proj:  98%|█████████▊| 35845/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.16.gate_proj:  98%|█████████▊| 35846/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.16.up_proj:  98%|█████████▊| 35847/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.16.down_proj:  98%|█████████▊| 35848/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.17.gate_proj:  98%|█████████▊| 35849/36566 [00:31<00:00, 1176.48it/s]
packing model.layers.92.mlp.experts.17.up_proj:  98%|█████████▊| 35850/36566 [00:31<00:00, 1176.48it/s]  
packing model.layers.92.mlp.experts.17.up_proj:  98%|█████████▊| 35851/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.17.down_proj:  98%|█████████▊| 35851/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.18.gate_proj:  98%|█████████▊| 35852/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.18.up_proj:  98%|█████████▊| 35853/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.18.down_proj:  98%|█████████▊| 35854/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.19.gate_proj:  98%|█████████▊| 35855/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.19.up_proj:  98%|█████████▊| 35856/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.19.down_proj:  98%|█████████▊| 35857/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.20.gate_proj:  98%|█████████▊| 35858/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.20.up_proj:  98%|█████████▊| 35859/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.20.down_proj:  98%|█████████▊| 35860/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.21.gate_proj:  98%|█████████▊| 35861/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.21.up_proj:  98%|█████████▊| 35862/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.21.down_proj:  98%|█████████▊| 35863/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.22.gate_proj:  98%|█████████▊| 35864/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.22.up_proj:  98%|█████████▊| 35865/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.22.down_proj:  98%|█████████▊| 35866/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.23.gate_proj:  98%|█████████▊| 35867/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.23.up_proj:  98%|█████████▊| 35868/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.23.down_proj:  98%|█████████▊| 35869/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.24.gate_proj:  98%|█████████▊| 35870/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.24.up_proj:  98%|█████████▊| 35871/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.24.down_proj:  98%|█████████▊| 35872/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.25.gate_proj:  98%|█████████▊| 35873/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.25.up_proj:  98%|█████████▊| 35874/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.25.down_proj:  98%|█████████▊| 35875/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.26.gate_proj:  98%|█████████▊| 35876/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.26.up_proj:  98%|█████████▊| 35877/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.26.down_proj:  98%|█████████▊| 35878/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.27.gate_proj:  98%|█████████▊| 35879/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.27.up_proj:  98%|█████████▊| 35880/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.27.down_proj:  98%|█████████▊| 35881/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.28.gate_proj:  98%|█████████▊| 35882/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.28.up_proj:  98%|█████████▊| 35883/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.28.down_proj:  98%|█████████▊| 35884/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.29.gate_proj:  98%|█████████▊| 35885/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.29.up_proj:  98%|█████████▊| 35886/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.29.down_proj:  98%|█████████▊| 35887/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.30.gate_proj:  98%|█████████▊| 35888/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.30.up_proj:  98%|█████████▊| 35889/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.30.down_proj:  98%|█████████▊| 35890/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.31.gate_proj:  98%|█████████▊| 35891/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.31.up_proj:  98%|█████████▊| 35892/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.31.down_proj:  98%|█████████▊| 35893/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.32.gate_proj:  98%|█████████▊| 35894/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.32.up_proj:  98%|█████████▊| 35895/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.32.down_proj:  98%|█████████▊| 35896/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.33.gate_proj:  98%|█████████▊| 35897/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.33.up_proj:  98%|█████████▊| 35898/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.33.down_proj:  98%|█████████▊| 35899/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.34.gate_proj:  98%|█████████▊| 35900/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.34.up_proj:  98%|█████████▊| 35901/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.34.down_proj:  98%|█████████▊| 35902/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.35.gate_proj:  98%|█████████▊| 35903/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.35.up_proj:  98%|█████████▊| 35904/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.35.down_proj:  98%|█████████▊| 35905/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.36.gate_proj:  98%|█████████▊| 35906/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.36.up_proj:  98%|█████████▊| 35907/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.36.down_proj:  98%|█████████▊| 35908/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.37.gate_proj:  98%|█████████▊| 35909/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.37.up_proj:  98%|█████████▊| 35910/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.37.down_proj:  98%|█████████▊| 35911/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.38.gate_proj:  98%|█████████▊| 35912/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.38.up_proj:  98%|█████████▊| 35913/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.38.down_proj:  98%|█████████▊| 35914/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.39.gate_proj:  98%|█████████▊| 35915/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.39.up_proj:  98%|█████████▊| 35916/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.39.down_proj:  98%|█████████▊| 35917/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.40.gate_proj:  98%|█████████▊| 35918/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.40.up_proj:  98%|█████████▊| 35919/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.40.down_proj:  98%|█████████▊| 35920/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.41.gate_proj:  98%|█████████▊| 35921/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.41.up_proj:  98%|█████████▊| 35922/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.41.down_proj:  98%|█████████▊| 35923/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.42.gate_proj:  98%|█████████▊| 35924/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.42.up_proj:  98%|█████████▊| 35925/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.42.down_proj:  98%|█████████▊| 35926/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.43.gate_proj:  98%|█████████▊| 35927/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.43.up_proj:  98%|█████████▊| 35928/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.43.down_proj:  98%|█████████▊| 35929/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.44.gate_proj:  98%|█████████▊| 35930/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.44.up_proj:  98%|█████████▊| 35931/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.44.down_proj:  98%|█████████▊| 35932/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.45.gate_proj:  98%|█████████▊| 35933/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.45.up_proj:  98%|█████████▊| 35934/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.45.down_proj:  98%|█████████▊| 35935/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.46.gate_proj:  98%|█████████▊| 35936/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.46.up_proj:  98%|█████████▊| 35937/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.46.down_proj:  98%|█████████▊| 35938/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.47.gate_proj:  98%|█████████▊| 35939/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.47.up_proj:  98%|█████████▊| 35940/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.47.down_proj:  98%|█████████▊| 35941/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.48.gate_proj:  98%|█████████▊| 35942/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.48.up_proj:  98%|█████████▊| 35943/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.48.down_proj:  98%|█████████▊| 35944/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.49.gate_proj:  98%|█████████▊| 35945/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.49.up_proj:  98%|█████████▊| 35946/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.49.down_proj:  98%|█████████▊| 35947/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.50.gate_proj:  98%|█████████▊| 35948/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.50.up_proj:  98%|█████████▊| 35949/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.50.down_proj:  98%|█████████▊| 35950/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.51.gate_proj:  98%|█████████▊| 35951/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.51.up_proj:  98%|█████████▊| 35952/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.51.down_proj:  98%|█████████▊| 35953/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.52.gate_proj:  98%|█████████▊| 35954/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.52.up_proj:  98%|█████████▊| 35955/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.52.down_proj:  98%|█████████▊| 35956/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.53.gate_proj:  98%|█████████▊| 35957/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.53.up_proj:  98%|█████████▊| 35958/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.53.down_proj:  98%|█████████▊| 35959/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.54.gate_proj:  98%|█████████▊| 35960/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.54.up_proj:  98%|█████████▊| 35961/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.54.down_proj:  98%|█████████▊| 35962/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.55.gate_proj:  98%|█████████▊| 35963/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.55.up_proj:  98%|█████████▊| 35964/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.55.down_proj:  98%|█████████▊| 35965/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.56.gate_proj:  98%|█████████▊| 35966/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.56.up_proj:  98%|█████████▊| 35967/36566 [00:31<00:00, 1173.61it/s]  
packing model.layers.92.mlp.experts.56.down_proj:  98%|█████████▊| 35968/36566 [00:31<00:00, 1173.61it/s]
packing model.layers.92.mlp.experts.56.down_proj:  98%|█████████▊| 35969/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.57.gate_proj:  98%|█████████▊| 35969/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.57.up_proj:  98%|█████████▊| 35970/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.57.down_proj:  98%|█████████▊| 35971/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.58.gate_proj:  98%|█████████▊| 35972/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.58.up_proj:  98%|█████████▊| 35973/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.58.down_proj:  98%|█████████▊| 35974/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.59.gate_proj:  98%|█████████▊| 35975/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.59.up_proj:  98%|█████████▊| 35976/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.59.down_proj:  98%|█████████▊| 35977/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.60.gate_proj:  98%|█████████▊| 35978/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.60.up_proj:  98%|█████████▊| 35979/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.60.down_proj:  98%|█████████▊| 35980/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.61.gate_proj:  98%|█████████▊| 35981/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.61.up_proj:  98%|█████████▊| 35982/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.61.down_proj:  98%|█████████▊| 35983/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.62.gate_proj:  98%|█████████▊| 35984/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.62.up_proj:  98%|█████████▊| 35985/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.62.down_proj:  98%|█████████▊| 35986/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.63.gate_proj:  98%|█████████▊| 35987/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.63.up_proj:  98%|█████████▊| 35988/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.63.down_proj:  98%|█████████▊| 35989/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.64.gate_proj:  98%|█████████▊| 35990/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.64.up_proj:  98%|█████████▊| 35991/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.64.down_proj:  98%|█████████▊| 35992/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.65.gate_proj:  98%|█████████▊| 35993/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.65.up_proj:  98%|█████████▊| 35994/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.65.down_proj:  98%|█████████▊| 35995/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.66.gate_proj:  98%|█████████▊| 35996/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.66.up_proj:  98%|█████████▊| 35997/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.66.down_proj:  98%|█████████▊| 35998/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.67.gate_proj:  98%|█████████▊| 35999/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.67.up_proj:  98%|█████████▊| 36000/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.67.down_proj:  98%|█████████▊| 36001/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.68.gate_proj:  98%|█████████▊| 36002/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.68.up_proj:  98%|█████████▊| 36003/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.68.down_proj:  98%|█████████▊| 36004/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.69.gate_proj:  98%|█████████▊| 36005/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.69.up_proj:  98%|█████████▊| 36006/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.69.down_proj:  98%|█████████▊| 36007/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.70.gate_proj:  98%|█████████▊| 36008/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.70.up_proj:  98%|█████████▊| 36009/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.70.down_proj:  98%|█████████▊| 36010/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.71.gate_proj:  98%|█████████▊| 36011/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.71.up_proj:  98%|█████████▊| 36012/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.71.down_proj:  98%|█████████▊| 36013/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.72.gate_proj:  98%|█████████▊| 36014/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.72.up_proj:  98%|█████████▊| 36015/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.72.down_proj:  98%|█████████▊| 36016/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.73.gate_proj:  98%|█████████▊| 36017/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.73.up_proj:  99%|█████████▊| 36018/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.73.down_proj:  99%|█████████▊| 36019/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.74.gate_proj:  99%|█████████▊| 36020/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.74.up_proj:  99%|█████████▊| 36021/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.74.down_proj:  99%|█████████▊| 36022/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.75.gate_proj:  99%|█████████▊| 36023/36566 [00:31<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.75.up_proj:  99%|█████████▊| 36024/36566 [00:31<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.75.down_proj:  99%|█████████▊| 36025/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.76.gate_proj:  99%|█████████▊| 36026/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.76.up_proj:  99%|█████████▊| 36027/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.76.down_proj:  99%|█████████▊| 36028/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.77.gate_proj:  99%|█████████▊| 36029/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.77.up_proj:  99%|█████████▊| 36030/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.77.down_proj:  99%|█████████▊| 36031/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.78.gate_proj:  99%|█████████▊| 36032/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.78.up_proj:  99%|█████████▊| 36033/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.78.down_proj:  99%|█████████▊| 36034/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.79.gate_proj:  99%|█████████▊| 36035/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.79.up_proj:  99%|█████████▊| 36036/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.79.down_proj:  99%|█████████▊| 36037/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.80.gate_proj:  99%|█████████▊| 36038/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.80.up_proj:  99%|█████████▊| 36039/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.80.down_proj:  99%|█████████▊| 36040/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.81.gate_proj:  99%|█████████▊| 36041/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.81.up_proj:  99%|█████████▊| 36042/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.81.down_proj:  99%|█████████▊| 36043/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.82.gate_proj:  99%|█████████▊| 36044/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.82.up_proj:  99%|█████████▊| 36045/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.82.down_proj:  99%|█████████▊| 36046/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.83.gate_proj:  99%|█████████▊| 36047/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.83.up_proj:  99%|█████████▊| 36048/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.83.down_proj:  99%|█████████▊| 36049/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.84.gate_proj:  99%|█████████▊| 36050/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.84.up_proj:  99%|█████████▊| 36051/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.84.down_proj:  99%|█████████▊| 36052/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.85.gate_proj:  99%|█████████▊| 36053/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.85.up_proj:  99%|█████████▊| 36054/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.85.down_proj:  99%|█████████▊| 36055/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.86.gate_proj:  99%|█████████▊| 36056/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.86.up_proj:  99%|█████████▊| 36057/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.86.down_proj:  99%|█████████▊| 36058/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.87.gate_proj:  99%|█████████▊| 36059/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.87.up_proj:  99%|█████████▊| 36060/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.87.down_proj:  99%|█████████▊| 36061/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.88.gate_proj:  99%|█████████▊| 36062/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.88.up_proj:  99%|█████████▊| 36063/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.88.down_proj:  99%|█████████▊| 36064/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.89.gate_proj:  99%|█████████▊| 36065/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.89.up_proj:  99%|█████████▊| 36066/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.89.down_proj:  99%|█████████▊| 36067/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.90.gate_proj:  99%|█████████▊| 36068/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.90.up_proj:  99%|█████████▊| 36069/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.90.down_proj:  99%|█████████▊| 36070/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.91.gate_proj:  99%|█████████▊| 36071/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.91.up_proj:  99%|█████████▊| 36072/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.91.down_proj:  99%|█████████▊| 36073/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.92.gate_proj:  99%|█████████▊| 36074/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.92.up_proj:  99%|█████████▊| 36075/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.92.down_proj:  99%|█████████▊| 36076/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.93.gate_proj:  99%|█████████▊| 36077/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.93.up_proj:  99%|█████████▊| 36078/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.93.down_proj:  99%|█████████▊| 36079/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.94.gate_proj:  99%|█████████▊| 36080/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.94.up_proj:  99%|█████████▊| 36081/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.94.down_proj:  99%|█████████▊| 36082/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.95.gate_proj:  99%|█████████▊| 36083/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.95.up_proj:  99%|█████████▊| 36084/36566 [00:32<00:00, 1174.53it/s]  
packing model.layers.92.mlp.experts.95.down_proj:  99%|█████████▊| 36085/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.96.gate_proj:  99%|█████████▊| 36086/36566 [00:32<00:00, 1174.53it/s]
packing model.layers.92.mlp.experts.96.gate_proj:  99%|█████████▊| 36087/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.96.up_proj:  99%|█████████▊| 36087/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.96.down_proj:  99%|█████████▊| 36088/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.97.gate_proj:  99%|█████████▊| 36089/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.97.up_proj:  99%|█████████▊| 36090/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.97.down_proj:  99%|█████████▊| 36091/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.98.gate_proj:  99%|█████████▊| 36092/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.98.up_proj:  99%|█████████▊| 36093/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.98.down_proj:  99%|█████████▊| 36094/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.99.gate_proj:  99%|█████████▊| 36095/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.99.up_proj:  99%|█████████▊| 36096/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.99.down_proj:  99%|█████████▊| 36097/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.100.gate_proj:  99%|█████████▊| 36098/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.100.up_proj:  99%|█████████▊| 36099/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.100.down_proj:  99%|█████████▊| 36100/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.101.gate_proj:  99%|█████████▊| 36101/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.101.up_proj:  99%|█████████▊| 36102/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.101.down_proj:  99%|█████████▊| 36103/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.102.gate_proj:  99%|█████████▊| 36104/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.102.up_proj:  99%|█████████▊| 36105/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.102.down_proj:  99%|█████████▊| 36106/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.103.gate_proj:  99%|█████████▊| 36107/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.103.up_proj:  99%|█████████▊| 36108/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.103.down_proj:  99%|█████████▉| 36109/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.104.gate_proj:  99%|█████████▉| 36110/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.104.up_proj:  99%|█████████▉| 36111/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.104.down_proj:  99%|█████████▉| 36112/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.105.gate_proj:  99%|█████████▉| 36113/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.105.up_proj:  99%|█████████▉| 36114/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.105.down_proj:  99%|█████████▉| 36115/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.106.gate_proj:  99%|█████████▉| 36116/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.106.up_proj:  99%|█████████▉| 36117/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.106.down_proj:  99%|█████████▉| 36118/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.107.gate_proj:  99%|█████████▉| 36119/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.107.up_proj:  99%|█████████▉| 36120/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.107.down_proj:  99%|█████████▉| 36121/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.108.gate_proj:  99%|█████████▉| 36122/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.108.up_proj:  99%|█████████▉| 36123/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.108.down_proj:  99%|█████████▉| 36124/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.109.gate_proj:  99%|█████████▉| 36125/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.109.up_proj:  99%|█████████▉| 36126/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.109.down_proj:  99%|█████████▉| 36127/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.110.gate_proj:  99%|█████████▉| 36128/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.110.up_proj:  99%|█████████▉| 36129/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.110.down_proj:  99%|█████████▉| 36130/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.111.gate_proj:  99%|█████████▉| 36131/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.111.up_proj:  99%|█████████▉| 36132/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.111.down_proj:  99%|█████████▉| 36133/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.112.gate_proj:  99%|█████████▉| 36134/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.112.up_proj:  99%|█████████▉| 36135/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.112.down_proj:  99%|█████████▉| 36136/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.113.gate_proj:  99%|█████████▉| 36137/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.113.up_proj:  99%|█████████▉| 36138/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.113.down_proj:  99%|█████████▉| 36139/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.114.gate_proj:  99%|█████████▉| 36140/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.114.up_proj:  99%|█████████▉| 36141/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.114.down_proj:  99%|█████████▉| 36142/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.115.gate_proj:  99%|█████████▉| 36143/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.115.up_proj:  99%|█████████▉| 36144/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.115.down_proj:  99%|█████████▉| 36145/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.116.gate_proj:  99%|█████████▉| 36146/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.116.up_proj:  99%|█████████▉| 36147/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.116.down_proj:  99%|█████████▉| 36148/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.117.gate_proj:  99%|█████████▉| 36149/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.117.up_proj:  99%|█████████▉| 36150/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.117.down_proj:  99%|█████████▉| 36151/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.118.gate_proj:  99%|█████████▉| 36152/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.118.up_proj:  99%|█████████▉| 36153/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.118.down_proj:  99%|█████████▉| 36154/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.119.gate_proj:  99%|█████████▉| 36155/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.119.up_proj:  99%|█████████▉| 36156/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.119.down_proj:  99%|█████████▉| 36157/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.120.gate_proj:  99%|█████████▉| 36158/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.120.up_proj:  99%|█████████▉| 36159/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.120.down_proj:  99%|█████████▉| 36160/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.121.gate_proj:  99%|█████████▉| 36161/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.121.up_proj:  99%|█████████▉| 36162/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.121.down_proj:  99%|█████████▉| 36163/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.122.gate_proj:  99%|█████████▉| 36164/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.122.up_proj:  99%|█████████▉| 36165/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.122.down_proj:  99%|█████████▉| 36166/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.123.gate_proj:  99%|█████████▉| 36167/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.123.up_proj:  99%|█████████▉| 36168/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.123.down_proj:  99%|█████████▉| 36169/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.124.gate_proj:  99%|█████████▉| 36170/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.124.up_proj:  99%|█████████▉| 36171/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.124.down_proj:  99%|█████████▉| 36172/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.125.gate_proj:  99%|█████████▉| 36173/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.125.up_proj:  99%|█████████▉| 36174/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.125.down_proj:  99%|█████████▉| 36175/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.126.gate_proj:  99%|█████████▉| 36176/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.126.up_proj:  99%|█████████▉| 36177/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.126.down_proj:  99%|█████████▉| 36178/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.127.gate_proj:  99%|█████████▉| 36179/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.92.mlp.experts.127.up_proj:  99%|█████████▉| 36180/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.92.mlp.experts.127.down_proj:  99%|█████████▉| 36181/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.93.mlp.experts.0.gate_proj:  99%|█████████▉| 36182/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.93.mlp.experts.0.up_proj:  99%|█████████▉| 36183/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.93.mlp.experts.0.down_proj:  99%|█████████▉| 36184/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.93.mlp.experts.1.gate_proj:  99%|█████████▉| 36185/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.93.mlp.experts.1.up_proj:  99%|█████████▉| 36186/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.93.mlp.experts.1.down_proj:  99%|█████████▉| 36187/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.93.mlp.experts.2.gate_proj:  99%|█████████▉| 36188/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.93.mlp.experts.2.up_proj:  99%|█████████▉| 36189/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.93.mlp.experts.2.down_proj:  99%|█████████▉| 36190/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.93.mlp.experts.3.gate_proj:  99%|█████████▉| 36191/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.93.mlp.experts.3.up_proj:  99%|█████████▉| 36192/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.93.mlp.experts.3.down_proj:  99%|█████████▉| 36193/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.93.mlp.experts.4.gate_proj:  99%|█████████▉| 36194/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.93.mlp.experts.4.up_proj:  99%|█████████▉| 36195/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.93.mlp.experts.4.down_proj:  99%|█████████▉| 36196/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.93.mlp.experts.5.gate_proj:  99%|█████████▉| 36197/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.93.mlp.experts.5.up_proj:  99%|█████████▉| 36198/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.93.mlp.experts.5.down_proj:  99%|█████████▉| 36199/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.93.mlp.experts.6.gate_proj:  99%|█████████▉| 36200/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.93.mlp.experts.6.up_proj:  99%|█████████▉| 36201/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.93.mlp.experts.6.down_proj:  99%|█████████▉| 36202/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.93.mlp.experts.7.gate_proj:  99%|█████████▉| 36203/36566 [00:32<00:00, 1171.51it/s]
packing model.layers.93.mlp.experts.7.up_proj:  99%|█████████▉| 36204/36566 [00:32<00:00, 1171.51it/s]  
packing model.layers.93.mlp.experts.7.up_proj:  99%|█████████▉| 36205/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.7.down_proj:  99%|█████████▉| 36205/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.8.gate_proj:  99%|█████████▉| 36206/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.8.up_proj:  99%|█████████▉| 36207/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.8.down_proj:  99%|█████████▉| 36208/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.9.gate_proj:  99%|█████████▉| 36209/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.9.up_proj:  99%|█████████▉| 36210/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.9.down_proj:  99%|█████████▉| 36211/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.10.gate_proj:  99%|█████████▉| 36212/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.10.up_proj:  99%|█████████▉| 36213/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.10.down_proj:  99%|█████████▉| 36214/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.11.gate_proj:  99%|█████████▉| 36215/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.11.up_proj:  99%|█████████▉| 36216/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.11.down_proj:  99%|█████████▉| 36217/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.12.gate_proj:  99%|█████████▉| 36218/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.12.up_proj:  99%|█████████▉| 36219/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.12.down_proj:  99%|█████████▉| 36220/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.13.gate_proj:  99%|█████████▉| 36221/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.13.up_proj:  99%|█████████▉| 36222/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.13.down_proj:  99%|█████████▉| 36223/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.14.gate_proj:  99%|█████████▉| 36224/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.14.up_proj:  99%|█████████▉| 36225/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.14.down_proj:  99%|█████████▉| 36226/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.15.gate_proj:  99%|█████████▉| 36227/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.15.up_proj:  99%|█████████▉| 36228/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.15.down_proj:  99%|█████████▉| 36229/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.16.gate_proj:  99%|█████████▉| 36230/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.16.up_proj:  99%|█████████▉| 36231/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.16.down_proj:  99%|█████████▉| 36232/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.17.gate_proj:  99%|█████████▉| 36233/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.17.up_proj:  99%|█████████▉| 36234/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.17.down_proj:  99%|█████████▉| 36235/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.18.gate_proj:  99%|█████████▉| 36236/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.18.up_proj:  99%|█████████▉| 36237/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.18.down_proj:  99%|█████████▉| 36238/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.19.gate_proj:  99%|█████████▉| 36239/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.19.up_proj:  99%|█████████▉| 36240/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.19.down_proj:  99%|█████████▉| 36241/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.20.gate_proj:  99%|█████████▉| 36242/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.20.up_proj:  99%|█████████▉| 36243/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.20.down_proj:  99%|█████████▉| 36244/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.21.gate_proj:  99%|█████████▉| 36245/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.21.up_proj:  99%|█████████▉| 36246/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.21.down_proj:  99%|█████████▉| 36247/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.22.gate_proj:  99%|█████████▉| 36248/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.22.up_proj:  99%|█████████▉| 36249/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.22.down_proj:  99%|█████████▉| 36250/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.23.gate_proj:  99%|█████████▉| 36251/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.23.up_proj:  99%|█████████▉| 36252/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.23.down_proj:  99%|█████████▉| 36253/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.24.gate_proj:  99%|█████████▉| 36254/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.24.up_proj:  99%|█████████▉| 36255/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.24.down_proj:  99%|█████████▉| 36256/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.25.gate_proj:  99%|█████████▉| 36257/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.25.up_proj:  99%|█████████▉| 36258/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.25.down_proj:  99%|█████████▉| 36259/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.26.gate_proj:  99%|█████████▉| 36260/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.26.up_proj:  99%|█████████▉| 36261/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.26.down_proj:  99%|█████████▉| 36262/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.27.gate_proj:  99%|█████████▉| 36263/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.27.up_proj:  99%|█████████▉| 36264/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.27.down_proj:  99%|█████████▉| 36265/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.28.gate_proj:  99%|█████████▉| 36266/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.28.up_proj:  99%|█████████▉| 36267/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.28.down_proj:  99%|█████████▉| 36268/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.29.gate_proj:  99%|█████████▉| 36269/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.29.up_proj:  99%|█████████▉| 36270/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.29.down_proj:  99%|█████████▉| 36271/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.30.gate_proj:  99%|█████████▉| 36272/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.30.up_proj:  99%|█████████▉| 36273/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.30.down_proj:  99%|█████████▉| 36274/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.31.gate_proj:  99%|█████████▉| 36275/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.31.up_proj:  99%|█████████▉| 36276/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.31.down_proj:  99%|█████████▉| 36277/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.32.gate_proj:  99%|█████████▉| 36278/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.32.up_proj:  99%|█████████▉| 36279/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.32.down_proj:  99%|█████████▉| 36280/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.33.gate_proj:  99%|█████████▉| 36281/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.33.up_proj:  99%|█████████▉| 36282/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.33.down_proj:  99%|█████████▉| 36283/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.34.gate_proj:  99%|█████████▉| 36284/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.34.up_proj:  99%|█████████▉| 36285/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.34.down_proj:  99%|█████████▉| 36286/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.35.gate_proj:  99%|█████████▉| 36287/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.35.up_proj:  99%|█████████▉| 36288/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.35.down_proj:  99%|█████████▉| 36289/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.36.gate_proj:  99%|█████████▉| 36290/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.36.up_proj:  99%|█████████▉| 36291/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.36.down_proj:  99%|█████████▉| 36292/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.37.gate_proj:  99%|█████████▉| 36293/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.37.up_proj:  99%|█████████▉| 36294/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.37.down_proj:  99%|█████████▉| 36295/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.38.gate_proj:  99%|█████████▉| 36296/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.38.up_proj:  99%|█████████▉| 36297/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.38.down_proj:  99%|█████████▉| 36298/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.39.gate_proj:  99%|█████████▉| 36299/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.39.up_proj:  99%|█████████▉| 36300/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.39.down_proj:  99%|█████████▉| 36301/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.40.gate_proj:  99%|█████████▉| 36302/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.40.up_proj:  99%|█████████▉| 36303/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.40.down_proj:  99%|█████████▉| 36304/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.41.gate_proj:  99%|█████████▉| 36305/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.41.up_proj:  99%|█████████▉| 36306/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.41.down_proj:  99%|█████████▉| 36307/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.42.gate_proj:  99%|█████████▉| 36308/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.42.up_proj:  99%|█████████▉| 36309/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.42.down_proj:  99%|█████████▉| 36310/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.43.gate_proj:  99%|█████████▉| 36311/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.43.up_proj:  99%|█████████▉| 36312/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.43.down_proj:  99%|█████████▉| 36313/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.44.gate_proj:  99%|█████████▉| 36314/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.44.up_proj:  99%|█████████▉| 36315/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.44.down_proj:  99%|█████████▉| 36316/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.45.gate_proj:  99%|█████████▉| 36317/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.45.up_proj:  99%|█████████▉| 36318/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.45.down_proj:  99%|█████████▉| 36319/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.46.gate_proj:  99%|█████████▉| 36320/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.46.up_proj:  99%|█████████▉| 36321/36566 [00:32<00:00, 1173.79it/s]  
packing model.layers.93.mlp.experts.46.down_proj:  99%|█████████▉| 36322/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.47.gate_proj:  99%|█████████▉| 36323/36566 [00:32<00:00, 1173.79it/s]
packing model.layers.93.mlp.experts.47.gate_proj:  99%|█████████▉| 36324/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.47.up_proj:  99%|█████████▉| 36324/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.47.down_proj:  99%|█████████▉| 36325/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.48.gate_proj:  99%|█████████▉| 36326/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.48.up_proj:  99%|█████████▉| 36327/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.48.down_proj:  99%|█████████▉| 36328/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.49.gate_proj:  99%|█████████▉| 36329/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.49.up_proj:  99%|█████████▉| 36330/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.49.down_proj:  99%|█████████▉| 36331/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.50.gate_proj:  99%|█████████▉| 36332/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.50.up_proj:  99%|█████████▉| 36333/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.50.down_proj:  99%|█████████▉| 36334/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.51.gate_proj:  99%|█████████▉| 36335/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.51.up_proj:  99%|█████████▉| 36336/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.51.down_proj:  99%|█████████▉| 36337/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.52.gate_proj:  99%|█████████▉| 36338/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.52.up_proj:  99%|█████████▉| 36339/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.52.down_proj:  99%|█████████▉| 36340/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.53.gate_proj:  99%|█████████▉| 36341/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.53.up_proj:  99%|█████████▉| 36342/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.53.down_proj:  99%|█████████▉| 36343/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.54.gate_proj:  99%|█████████▉| 36344/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.54.up_proj:  99%|█████████▉| 36345/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.54.down_proj:  99%|█████████▉| 36346/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.55.gate_proj:  99%|█████████▉| 36347/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.55.up_proj:  99%|█████████▉| 36348/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.55.down_proj:  99%|█████████▉| 36349/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.56.gate_proj:  99%|█████████▉| 36350/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.56.up_proj:  99%|█████████▉| 36351/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.56.down_proj:  99%|█████████▉| 36352/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.57.gate_proj:  99%|█████████▉| 36353/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.57.up_proj:  99%|█████████▉| 36354/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.57.down_proj:  99%|█████████▉| 36355/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.58.gate_proj:  99%|█████████▉| 36356/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.58.up_proj:  99%|█████████▉| 36357/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.58.down_proj:  99%|█████████▉| 36358/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.59.gate_proj:  99%|█████████▉| 36359/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.59.up_proj:  99%|█████████▉| 36360/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.59.down_proj:  99%|█████████▉| 36361/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.60.gate_proj:  99%|█████████▉| 36362/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.60.up_proj:  99%|█████████▉| 36363/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.60.down_proj:  99%|█████████▉| 36364/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.61.gate_proj:  99%|█████████▉| 36365/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.61.up_proj:  99%|█████████▉| 36366/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.61.down_proj:  99%|█████████▉| 36367/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.62.gate_proj:  99%|█████████▉| 36368/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.62.up_proj:  99%|█████████▉| 36369/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.62.down_proj:  99%|█████████▉| 36370/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.63.gate_proj:  99%|█████████▉| 36371/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.63.up_proj:  99%|█████████▉| 36372/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.63.down_proj:  99%|█████████▉| 36373/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.64.gate_proj:  99%|█████████▉| 36374/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.64.up_proj:  99%|█████████▉| 36375/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.64.down_proj:  99%|█████████▉| 36376/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.65.gate_proj:  99%|█████████▉| 36377/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.65.up_proj:  99%|█████████▉| 36378/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.65.down_proj:  99%|█████████▉| 36379/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.66.gate_proj:  99%|█████████▉| 36380/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.66.up_proj:  99%|█████████▉| 36381/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.66.down_proj:  99%|█████████▉| 36382/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.67.gate_proj:  99%|█████████▉| 36383/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.67.up_proj: 100%|█████████▉| 36384/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.67.down_proj: 100%|█████████▉| 36385/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.68.gate_proj: 100%|█████████▉| 36386/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.68.up_proj: 100%|█████████▉| 36387/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.68.down_proj: 100%|█████████▉| 36388/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.69.gate_proj: 100%|█████████▉| 36389/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.69.up_proj: 100%|█████████▉| 36390/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.69.down_proj: 100%|█████████▉| 36391/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.70.gate_proj: 100%|█████████▉| 36392/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.70.up_proj: 100%|█████████▉| 36393/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.70.down_proj: 100%|█████████▉| 36394/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.71.gate_proj: 100%|█████████▉| 36395/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.71.up_proj: 100%|█████████▉| 36396/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.71.down_proj: 100%|█████████▉| 36397/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.72.gate_proj: 100%|█████████▉| 36398/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.72.up_proj: 100%|█████████▉| 36399/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.72.down_proj: 100%|█████████▉| 36400/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.73.gate_proj: 100%|█████████▉| 36401/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.73.up_proj: 100%|█████████▉| 36402/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.73.down_proj: 100%|█████████▉| 36403/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.74.gate_proj: 100%|█████████▉| 36404/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.74.up_proj: 100%|█████████▉| 36405/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.74.down_proj: 100%|█████████▉| 36406/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.75.gate_proj: 100%|█████████▉| 36407/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.75.up_proj: 100%|█████████▉| 36408/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.75.down_proj: 100%|█████████▉| 36409/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.76.gate_proj: 100%|█████████▉| 36410/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.76.up_proj: 100%|█████████▉| 36411/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.76.down_proj: 100%|█████████▉| 36412/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.77.gate_proj: 100%|█████████▉| 36413/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.77.up_proj: 100%|█████████▉| 36414/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.77.down_proj: 100%|█████████▉| 36415/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.78.gate_proj: 100%|█████████▉| 36416/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.78.up_proj: 100%|█████████▉| 36417/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.78.down_proj: 100%|█████████▉| 36418/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.79.gate_proj: 100%|█████████▉| 36419/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.79.up_proj: 100%|█████████▉| 36420/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.79.down_proj: 100%|█████████▉| 36421/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.80.gate_proj: 100%|█████████▉| 36422/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.80.up_proj: 100%|█████████▉| 36423/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.80.down_proj: 100%|█████████▉| 36424/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.81.gate_proj: 100%|█████████▉| 36425/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.81.up_proj: 100%|█████████▉| 36426/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.81.down_proj: 100%|█████████▉| 36427/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.82.gate_proj: 100%|█████████▉| 36428/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.82.up_proj: 100%|█████████▉| 36429/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.82.down_proj: 100%|█████████▉| 36430/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.83.gate_proj: 100%|█████████▉| 36431/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.83.up_proj: 100%|█████████▉| 36432/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.83.down_proj: 100%|█████████▉| 36433/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.84.gate_proj: 100%|█████████▉| 36434/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.84.up_proj: 100%|█████████▉| 36435/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.84.down_proj: 100%|█████████▉| 36436/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.85.gate_proj: 100%|█████████▉| 36437/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.85.up_proj: 100%|█████████▉| 36438/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.85.down_proj: 100%|█████████▉| 36439/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.86.gate_proj: 100%|█████████▉| 36440/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.86.up_proj: 100%|█████████▉| 36441/36566 [00:32<00:00, 1175.12it/s]  
packing model.layers.93.mlp.experts.86.down_proj: 100%|█████████▉| 36442/36566 [00:32<00:00, 1175.12it/s]
packing model.layers.93.mlp.experts.86.down_proj: 100%|█████████▉| 36443/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.87.gate_proj: 100%|█████████▉| 36443/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.87.up_proj: 100%|█████████▉| 36444/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.87.down_proj: 100%|█████████▉| 36445/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.88.gate_proj: 100%|█████████▉| 36446/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.88.up_proj: 100%|█████████▉| 36447/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.88.down_proj: 100%|█████████▉| 36448/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.89.gate_proj: 100%|█████████▉| 36449/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.89.up_proj: 100%|█████████▉| 36450/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.89.down_proj: 100%|█████████▉| 36451/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.90.gate_proj: 100%|█████████▉| 36452/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.90.up_proj: 100%|█████████▉| 36453/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.90.down_proj: 100%|█████████▉| 36454/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.91.gate_proj: 100%|█████████▉| 36455/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.91.up_proj: 100%|█████████▉| 36456/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.91.down_proj: 100%|█████████▉| 36457/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.92.gate_proj: 100%|█████████▉| 36458/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.92.up_proj: 100%|█████████▉| 36459/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.92.down_proj: 100%|█████████▉| 36460/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.93.gate_proj: 100%|█████████▉| 36461/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.93.up_proj: 100%|█████████▉| 36462/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.93.down_proj: 100%|█████████▉| 36463/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.94.gate_proj: 100%|█████████▉| 36464/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.94.up_proj: 100%|█████████▉| 36465/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.94.down_proj: 100%|█████████▉| 36466/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.95.gate_proj: 100%|█████████▉| 36467/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.95.up_proj: 100%|█████████▉| 36468/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.95.down_proj: 100%|█████████▉| 36469/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.96.gate_proj: 100%|█████████▉| 36470/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.96.up_proj: 100%|█████████▉| 36471/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.96.down_proj: 100%|█████████▉| 36472/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.97.gate_proj: 100%|█████████▉| 36473/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.97.up_proj: 100%|█████████▉| 36474/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.97.down_proj: 100%|█████████▉| 36475/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.98.gate_proj: 100%|█████████▉| 36476/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.98.up_proj: 100%|█████████▉| 36477/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.98.down_proj: 100%|█████████▉| 36478/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.99.gate_proj: 100%|█████████▉| 36479/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.99.up_proj: 100%|█████████▉| 36480/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.99.down_proj: 100%|█████████▉| 36481/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.100.gate_proj: 100%|█████████▉| 36482/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.100.up_proj: 100%|█████████▉| 36483/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.100.down_proj: 100%|█████████▉| 36484/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.101.gate_proj: 100%|█████████▉| 36485/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.101.up_proj: 100%|█████████▉| 36486/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.101.down_proj: 100%|█████████▉| 36487/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.102.gate_proj: 100%|█████████▉| 36488/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.102.up_proj: 100%|█████████▉| 36489/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.102.down_proj: 100%|█████████▉| 36490/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.103.gate_proj: 100%|█████████▉| 36491/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.103.up_proj: 100%|█████████▉| 36492/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.103.down_proj: 100%|█████████▉| 36493/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.104.gate_proj: 100%|█████████▉| 36494/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.104.up_proj: 100%|█████████▉| 36495/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.104.down_proj: 100%|█████████▉| 36496/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.105.gate_proj: 100%|█████████▉| 36497/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.105.up_proj: 100%|█████████▉| 36498/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.105.down_proj: 100%|█████████▉| 36499/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.106.gate_proj: 100%|█████████▉| 36500/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.106.up_proj: 100%|█████████▉| 36501/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.106.down_proj: 100%|█████████▉| 36502/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.107.gate_proj: 100%|█████████▉| 36503/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.107.up_proj: 100%|█████████▉| 36504/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.107.down_proj: 100%|█████████▉| 36505/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.108.gate_proj: 100%|█████████▉| 36506/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.108.up_proj: 100%|█████████▉| 36507/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.108.down_proj: 100%|█████████▉| 36508/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.109.gate_proj: 100%|█████████▉| 36509/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.109.up_proj: 100%|█████████▉| 36510/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.109.down_proj: 100%|█████████▉| 36511/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.110.gate_proj: 100%|█████████▉| 36512/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.110.up_proj: 100%|█████████▉| 36513/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.110.down_proj: 100%|█████████▉| 36514/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.111.gate_proj: 100%|█████████▉| 36515/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.111.up_proj: 100%|█████████▉| 36516/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.111.down_proj: 100%|█████████▉| 36517/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.112.gate_proj: 100%|█████████▉| 36518/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.112.up_proj: 100%|█████████▉| 36519/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.112.down_proj: 100%|█████████▉| 36520/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.113.gate_proj: 100%|█████████▉| 36521/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.113.up_proj: 100%|█████████▉| 36522/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.113.down_proj: 100%|█████████▉| 36523/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.114.gate_proj: 100%|█████████▉| 36524/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.114.up_proj: 100%|█████████▉| 36525/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.114.down_proj: 100%|█████████▉| 36526/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.115.gate_proj: 100%|█████████▉| 36527/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.115.up_proj: 100%|█████████▉| 36528/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.115.down_proj: 100%|█████████▉| 36529/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.116.gate_proj: 100%|█████████▉| 36530/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.116.up_proj: 100%|█████████▉| 36531/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.116.down_proj: 100%|█████████▉| 36532/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.117.gate_proj: 100%|█████████▉| 36533/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.117.up_proj: 100%|█████████▉| 36534/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.117.down_proj: 100%|█████████▉| 36535/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.118.gate_proj: 100%|█████████▉| 36536/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.118.up_proj: 100%|█████████▉| 36537/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.118.down_proj: 100%|█████████▉| 36538/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.119.gate_proj: 100%|█████████▉| 36539/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.119.up_proj: 100%|█████████▉| 36540/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.119.down_proj: 100%|█████████▉| 36541/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.120.gate_proj: 100%|█████████▉| 36542/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.120.up_proj: 100%|█████████▉| 36543/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.120.down_proj: 100%|█████████▉| 36544/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.121.gate_proj: 100%|█████████▉| 36545/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.121.up_proj: 100%|█████████▉| 36546/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.121.down_proj: 100%|█████████▉| 36547/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.122.gate_proj: 100%|█████████▉| 36548/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.122.up_proj: 100%|█████████▉| 36549/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.122.down_proj: 100%|█████████▉| 36550/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.123.gate_proj: 100%|█████████▉| 36551/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.123.up_proj: 100%|█████████▉| 36552/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.123.down_proj: 100%|█████████▉| 36553/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.124.gate_proj: 100%|█████████▉| 36554/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.124.up_proj: 100%|█████████▉| 36555/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.124.down_proj: 100%|█████████▉| 36556/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.125.gate_proj: 100%|█████████▉| 36557/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.125.up_proj: 100%|█████████▉| 36558/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.125.down_proj: 100%|█████████▉| 36559/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.126.gate_proj: 100%|█████████▉| 36560/36566 [00:32<00:00, 1178.52it/s]
packing model.layers.93.mlp.experts.126.up_proj: 100%|█████████▉| 36561/36566 [00:32<00:00, 1178.52it/s]  
packing model.layers.93.mlp.experts.126.up_proj: 100%|█████████▉| 36562/36566 [00:32<00:00, 1179.19it/s]
packing model.layers.93.mlp.experts.126.down_proj: 100%|█████████▉| 36562/36566 [00:32<00:00, 1179.19it/s]
packing model.layers.93.mlp.experts.127.gate_proj: 100%|█████████▉| 36563/36566 [00:32<00:00, 1179.19it/s]
packing model.layers.93.mlp.experts.127.up_proj: 100%|█████████▉| 36564/36566 [00:32<00:00, 1179.19it/s]  
packing model.layers.93.mlp.experts.127.down_proj: 100%|█████████▉| 36565/36566 [00:32<00:00, 1179.19it/s]
packing model.layers.93.mlp.experts.127.down_proj: 100%|██████████| 36566/36566 [00:32<00:00, 1126.54it/s]
HTTP Request: %s %s "%s %d %s"
chaiml-muster-v1-q235b-25291-v1-uploader: Checking if ChaiML/muster-v1-q235b-lr1e4ep2r64g4-W4A16 already exists in ChaiML
chaiml-muster-v1-q235b-25291-v1-uploader: Creating repo ChaiML/muster-v1-q235b-lr1e4ep2r64g4-W4A16 and uploading /dev/shm/model_output to it
chaiml-muster-v1-q235b-25291-v1-uploader: 
Recovering from metadata files:   0%|          | 0/38 [00:00<?, ?it/s]
Recovering from metadata files: 100%|██████████| 38/38 [00:00<00:00, 8237.30it/s]
chaiml-muster-v1-q235b-25291-v1-uploader: ---------- 2026-02-03 19:03:28 (0:00:00) ----------
chaiml-muster-v1-q235b-25291-v1-uploader: Files:   hashed 11/38 (26.1M/131.9G) | pre-uploaded: 0/1 (0.0/131.9G) (+27 unsure) | committed: 0/38 (0.0/131.9G) | ignored: 0
chaiml-muster-v1-q235b-25291-v1-uploader: Workers: hashing: 27 | get upload mode: 1 | pre-uploading: 1 | committing: 0 | waiting: 97
chaiml-muster-v1-q235b-25291-v1-uploader: ---------------------------------------------------
chaiml-muster-v1-q235b-25291-v1-uploader: 
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...del_output/tokenizer.json: 100%|██████████| 11.4MB / 11.4MB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...del_output/tokenizer.json: 100%|██████████| 11.4MB / 11.4MB            
Processing Files (1 / 1)      : 100%|██████████| 11.4MB / 11.4MB, 11.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...del_output/tokenizer.json: 100%|██████████| 11.4MB / 11.4MB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...del_output/tokenizer.json: 100%|██████████| 11.4MB / 11.4MB            
Processing Files (1 / 1)      : 100%|██████████| 11.4MB / 11.4MB, 9.52MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B,  0.00B/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...del_output/tokenizer.json: 100%|██████████| 11.4MB / 11.4MB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB,  279MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  21%|██        |  402MB / 1.93GB            
Processing Files (0 / 1)      :  21%|██        |  402MB / 1.93GB,  287MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  86%|████████▌ |  402MB /  470MB,  287MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  24%|██▍       |  468MB / 1.93GB            
Processing Files (0 / 1)      :  24%|██▍       |  468MB / 1.93GB,  293MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  468MB /  470MB,  293MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  28%|██▊       |  535MB / 1.93GB            
Processing Files (0 / 1)      :  28%|██▊       |  535MB / 1.93GB,  297MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  535MB /  537MB,  297MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  31%|███       |  602MB / 1.93GB            
Processing Files (0 / 1)      :  31%|███       |  602MB / 1.93GB,  301MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  602MB /  604MB,  301MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  33%|███▎      |  641MB / 1.93GB            
Processing Files (0 / 1)      :  33%|███▎      |  641MB / 1.93GB,  291MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  96%|█████████▌|  641MB /  671MB,  291MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  35%|███▍      |  670MB / 1.93GB            
Processing Files (0 / 1)      :  35%|███▍      |  670MB / 1.93GB,  279MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  670MB /  671MB,  279MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  39%|███▊      |  746MB / 1.93GB            
Processing Files (0 / 1)      :  39%|███▊      |  746MB / 1.93GB,  287MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  670MB /  671MB,  258MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  43%|████▎     |  821MB / 1.93GB            
Processing Files (0 / 1)      :  43%|████▎     |  821MB / 1.93GB,  293MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  670MB /  671MB,  239MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  46%|████▋     |  897MB / 1.93GB            
Processing Files (0 / 1)      :  46%|████▋     |  897MB / 1.93GB,  299MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  50%|████▉     |  964MB / 1.93GB            
Processing Files (0 / 1)      :  50%|████▉     |  964MB / 1.93GB,  301MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|██████████|  671MB /  671MB,  210MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  54%|█████▍    | 1.04GB / 1.93GB            
Processing Files (0 / 1)      :  54%|█████▍    | 1.04GB / 1.93GB,  306MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  58%|█████▊    | 1.12GB / 1.93GB            
Processing Files (0 / 1)      :  58%|█████▊    | 1.12GB / 1.93GB,  310MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  62%|██████▏   | 1.19GB / 1.93GB            
Processing Files (0 / 1)      :  62%|██████▏   | 1.19GB / 1.93GB,  313MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  66%|██████▌   | 1.27GB / 1.93GB            
Processing Files (0 / 1)      :  66%|██████▌   | 1.27GB / 1.93GB,  317MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  70%|██████▉   | 1.34GB / 1.93GB            
Processing Files (0 / 1)      :  70%|██████▉   | 1.34GB / 1.93GB,  319MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  73%|███████▎  | 1.41GB / 1.93GB            
Processing Files (0 / 1)      :  73%|███████▎  | 1.41GB / 1.93GB,  320MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  77%|███████▋  | 1.48GB / 1.93GB            
Processing Files (0 / 1)      :  77%|███████▋  | 1.48GB / 1.93GB,  323MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  81%|████████  | 1.56GB / 1.93GB            
Processing Files (0 / 1)      :  81%|████████  | 1.56GB / 1.93GB,  325MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  85%|████████▍ | 1.64GB / 1.93GB            
Processing Files (0 / 1)      :  85%|████████▍ | 1.64GB / 1.93GB,  327MB/s  
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  89%|████████▉ | 1.72GB / 1.93GB            
Processing Files (0 / 1)      :  89%|████████▉ | 1.72GB / 1.93GB,  331MB/s  
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   0%|          |  474kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   0%|          |  474kB / 5.00GB            
Processing Files (0 / 1)      :   0%|          |  474kB / 5.00GB,   ???B/s  
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  93%|█████████▎| 1.79GB / 1.93GB            
Processing Files (0 / 1)      :  93%|█████████▎| 1.79GB / 1.93GB,  331MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   0%|          |  418kB / 5.00GB            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   0%|          |  484kB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   0%|          |  418kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   0%|          |  484kB / 4.98GB            
Processing Files (0 / 1)      :   0%|          |  484kB / 4.98GB,   ???B/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   0%|          |  462kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   0%|          |  462kB / 5.00GB            
Processing Files (0 / 1)      :   0%|          |  462kB / 5.00GB,   ???B/s  
Processing Files (0 / 1)      :   0%|          |  418kB / 5.00GB,   ???B/s  
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
Processing Files (0 / 1)      :   1%|▏         | 67.0MB / 5.00GB,  333MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  99%|█████████▉| 66.5MB / 67.0MB,  333MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  96%|█████████▌| 1.85GB / 1.93GB            
Processing Files (0 / 1)      :  96%|█████████▌| 1.85GB / 1.93GB,  331MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   0%|          |  391kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   0%|          |  391kB / 5.00GB            
Processing Files (0 / 1)      :   0%|          |  391kB / 5.00GB,   ???B/s  
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
Processing Files (0 / 1)      :   1%|▏         | 67.0MB / 5.00GB,  334MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  99%|█████████▉| 66.6MB / 67.1MB,  334MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   1%|▏         | 67.5MB / 5.00GB            
Processing Files (0 / 1)      :   1%|▏         | 67.5MB / 5.00GB,  335MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 67.1MB / 67.1MB,  335MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   1%|▏         | 67.5MB / 4.98GB            
Processing Files (0 / 1)      :   1%|▏         | 67.5MB / 4.98GB,  336MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 67.1MB / 67.1MB,  336MB/s  
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   0%|          |  450kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   0%|          |  450kB / 5.00GB            
Processing Files (0 / 1)      :   0%|          |  450kB / 5.00GB,   ???B/s  
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   0%|          |  455kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   0%|          |  455kB / 5.00GB            
Processing Files (0 / 1)      :   0%|          |  455kB / 5.00GB,   ???B/s  
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  134MB / 5.00GB,  332MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  134MB /  134MB,  332MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  97%|█████████▋| 1.88GB / 1.93GB            
Processing Files (0 / 1)      :  97%|█████████▋| 1.88GB / 1.93GB,  324MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
Processing Files (0 / 1)      :   1%|▏         | 67.0MB / 5.00GB,  333MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  50%|████▉     | 66.6MB /  134MB,  333MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   2%|▏         |  116MB / 5.00GB            
Processing Files (0 / 1)      :   2%|▏         |  116MB / 5.00GB,  289MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  86%|████████▌ |  116MB /  134MB,  289MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  134MB / 5.00GB,  334MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  134MB /  134MB,  334MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   1%|▏         | 67.5MB / 4.98GB            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   0%|          |  450kB / 5.00GB            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   0%|          |  455kB / 5.00GB            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   0%|          |  372kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   0%|          |  372kB / 5.00GB            
Processing Files (0 / 1)      :   0%|          |  372kB / 5.00GB, 1.97MB/s  
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  97%|█████████▋| 1.88GB / 1.93GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  134MB / 5.00GB,  222MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  66%|██████▌   |  133MB /  201MB,  222MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   1%|▏         | 67.5MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   0%|          |  450kB / 5.00GB            
Processing Files (0 / 0)      : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   0%|          |  455kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   0%|          |  372kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  97%|█████████▋| 1.88GB / 1.93GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   1%|▏         | 67.5MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   0%|          |  450kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   0%|          |  455kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   0%|          |  372kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  135MB / 5.00GB,  134MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  67%|██████▋   |  134MB /  201MB,  134MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  97%|█████████▋| 1.88GB / 1.93GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  134MB / 5.00GB,  134MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  66%|██████▋   |  134MB /  201MB,  134MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   3%|▎         |  134MB / 4.98GB            
Processing Files (0 / 1)      :   3%|▎         |  134MB / 4.98GB,  134MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  66%|██████▋   |  134MB /  201MB,  134MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
Processing Files (0 / 1)      :   1%|▏         | 67.0MB / 5.00GB, 83.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  50%|████▉     | 66.6MB /  134MB, 83.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
Processing Files (0 / 1)      :   1%|▏         | 67.0MB / 5.00GB, 83.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  50%|████▉     | 66.5MB /  134MB, 83.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   0%|          |  372kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  135MB / 5.00GB,  112MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  67%|██████▋   |  134MB /  201MB,  112MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors:  97%|█████████▋| 1.88GB / 1.93GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  134MB / 5.00GB,  133MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  99%|█████████▉|  133MB /  134MB,  133MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   3%|▎         |  149MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  149MB / 5.00GB,  124MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  74%|███████▍  |  149MB /  201MB,  124MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  135MB / 5.00GB,  112MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  67%|██████▋   |  134MB /  201MB,  112MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   3%|▎         |  134MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   0%|          |  372kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  202MB / 5.00GB,  144MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▍  |  201MB /  268MB,  144MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors: 100%|█████████▉| 1.93GB / 1.93GB            
Processing Files (0 / 1)      : 100%|█████████▉| 1.93GB / 1.93GB,  284MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  719MB /  719MB,  106MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  134MB / 5.00GB,  111MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  66%|██████▋   |  134MB /  201MB,  111MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  201MB / 5.00GB,  143MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▍  |  201MB /  268MB,  143MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  202MB / 5.00GB,  144MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▌  |  201MB /  268MB,  144MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   3%|▎         |  134MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   0%|          |  372kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors: 100%|█████████▉| 1.93GB / 1.93GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   3%|▎         |  134MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   0%|          |  372kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors: 100%|█████████▉| 1.93GB / 1.93GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   3%|▎         |  135MB / 4.98GB            
Processing Files (0 / 1)      :   3%|▎         |  135MB / 4.98GB, 74.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  67%|██████▋   |  134MB /  201MB, 74.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
Processing Files (0 / 1)      :   1%|▏         | 67.0MB / 5.00GB, 42.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  50%|████▉     | 66.6MB /  134MB, 41.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors: 100%|██████████| 1.93GB / 1.93GB            
Processing Files (1 / 1)      : 100%|██████████| 1.93GB / 1.93GB,  261MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|██████████|  719MB /  719MB, 97.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   4%|▍         |  202MB / 4.98GB            
Processing Files (0 / 1)      :   4%|▍         |  202MB / 4.98GB,  101MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▍  |  201MB /  268MB,  101MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  134MB / 5.00GB, 74.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  134MB /  134MB, 74.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  135MB / 5.00GB, 74.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  67%|██████▋   |  134MB /  201MB, 74.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  202MB / 5.00GB, 91.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▍  |  201MB /  268MB, 91.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors: 100%|██████████| 1.93GB / 1.93GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  201MB / 5.00GB,  100MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  201MB /  201MB,  100MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  268MB / 5.00GB,  122MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|███████▉  |  268MB /  335MB,  122MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   4%|▍         |  202MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  268MB / 5.00GB,  112MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|███████▉  |  268MB /  335MB,  112MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors: 100%|██████████| 1.93GB / 1.93GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  268MB / 5.00GB,  112MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  268MB /  268MB,  112MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   4%|▍         |  202MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors: 100%|██████████| 1.93GB / 1.93GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   4%|▍         |  202MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   1%|▏         | 67.5MB / 5.00GB            
Processing Files (0 / 1)      :   1%|▏         | 67.5MB / 5.00GB, 28.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  50%|████▉     | 67.1MB /  134MB, 28.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors: 100%|██████████| 1.93GB / 1.93GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   4%|▍         |  202MB / 4.98GB            
Processing Files (0 / 1)      :   4%|▍         |  202MB / 4.98GB, 71.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▍  |  201MB /  268MB, 71.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  135MB / 5.00GB, 51.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  67%|██████▋   |  134MB /  201MB, 51.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  134MB / 5.00GB, 51.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  66%|██████▋   |  134MB /  201MB, 51.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors: 100%|██████████| 1.93GB / 1.93GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  201MB / 5.00GB, 71.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▌  |  201MB /  268MB, 71.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  269MB / 5.00GB, 89.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|███████▉  |  268MB /  335MB, 89.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   5%|▌         |  268MB / 4.98GB            
Processing Files (0 / 1)      :   5%|▌         |  268MB / 4.98GB, 89.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|███████▉  |  268MB /  335MB, 89.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  202MB / 5.00GB, 71.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▍  |  201MB /  268MB, 71.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors: 100%|██████████| 1.93GB / 1.93GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  202MB / 5.00GB, 71.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▍  |  201MB /  268MB, 71.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  269MB / 5.00GB, 83.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|███████▉  |  268MB /  335MB, 83.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors: 100%|██████████| 1.93GB / 1.93GB            
Processing Files (1 / 1)      : 100%|██████████| 1.93GB / 1.93GB,  224MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|██████████|  719MB /  719MB, 83.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0027-of-00027.safetensors: 100%|██████████| 1.93GB / 1.93GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  268MB / 5.00GB, 89.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  268MB /  268MB, 89.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  335MB / 5.00GB,  105MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB,  105MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   5%|▌         |  268MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  336MB / 5.00GB, 98.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB, 98.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  269MB / 5.00GB, 78.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|███████▉  |  268MB /  335MB, 78.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   5%|▌         |  268MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   6%|▌         |  295MB / 5.00GB            
Processing Files (0 / 1)      :   6%|▌         |  295MB / 5.00GB, 81.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  88%|████████▊ |  295MB /  335MB, 81.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   5%|▌         |  268MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  135MB / 5.00GB, 39.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  67%|██████▋   |  134MB /  201MB, 39.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  335MB / 5.00GB, 88.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB, 88.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   5%|▌         |  269MB / 4.98GB            
Processing Files (0 / 1)      :   5%|▌         |  269MB / 4.98GB, 70.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|████████  |  268MB /  335MB, 70.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   5%|▍         |  231MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▍         |  231MB / 5.00GB, 64.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  86%|████████▌ |  230MB /  268MB, 64.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  269MB / 5.00GB, 74.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  268MB /  268MB, 74.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  201MB / 5.00GB, 56.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▍  |  201MB /  268MB, 55.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  268MB / 5.00GB, 70.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|███████▉  |  268MB /  335MB, 70.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   8%|▊         |  402MB / 5.00GB            
Processing Files (0 / 1)      :   8%|▊         |  402MB / 5.00GB,  100MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  402MB /  402MB,  100MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   7%|▋         |  336MB / 4.98GB            
Processing Files (0 / 1)      :   7%|▋         |  336MB / 4.98GB, 83.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB, 83.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  268MB / 5.00GB, 70.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|███████▉  |  268MB /  335MB, 70.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  335MB / 5.00GB, 83.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  335MB /  335MB, 83.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
Processing Files (0 / 1)      :   8%|▊         |  403MB / 5.00GB, 95.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  86%|████████▌ |  402MB /  469MB, 95.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   7%|▋         |  336MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   7%|▋         |  336MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
Processing Files (0 / 1)      :   8%|▊         |  403MB / 5.00GB, 87.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  86%|████████▌ |  402MB /  470MB, 87.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   8%|▊         |  402MB / 5.00GB            
Processing Files (0 / 1)      :   8%|▊         |  402MB / 5.00GB, 87.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  86%|████████▌ |  402MB /  469MB, 87.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   7%|▋         |  336MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  269MB / 5.00GB, 61.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  268MB /  268MB, 61.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   8%|▊         |  402MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   8%|▊         |  402MB / 4.98GB            
Processing Files (0 / 1)      :   8%|▊         |  402MB / 4.98GB, 83.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  402MB /  402MB, 83.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  335MB / 5.00GB, 72.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  335MB /  335MB, 72.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  336MB / 5.00GB, 72.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  335MB /  335MB, 72.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
Processing Files (0 / 1)      :   9%|▉         |  470MB / 5.00GB, 93.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  469MB /  469MB, 93.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   8%|▊         |  402MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   8%|▊         |  402MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  336MB / 5.00GB, 69.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB, 69.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   8%|▊         |  402MB / 5.00GB            
Processing Files (0 / 1)      :   8%|▊         |  402MB / 5.00GB, 80.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  86%|████████▌ |  402MB /  469MB, 80.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   8%|▊         |  402MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   8%|▊         |  402MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
Processing Files (0 / 1)      :   9%|▉         |  469MB / 5.00GB, 86.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  469MB /  470MB, 86.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   8%|▊         |  402MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
Processing Files (0 / 1)      :   8%|▊         |  403MB / 5.00GB, 74.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  86%|████████▌ |  402MB /  469MB, 74.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   8%|▊         |  402MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
Processing Files (0 / 1)      :   9%|▉         |  469MB / 5.00GB, 83.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  87%|████████▋ |  469MB /  537MB, 83.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   8%|▊         |  402MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
Processing Files (0 / 1)      :   9%|▉         |  469MB / 5.00GB, 83.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  87%|████████▋ |  469MB /  536MB, 83.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   8%|▊         |  402MB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  336MB / 5.00GB, 62.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB, 62.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  336MB / 5.00GB, 62.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB, 62.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:   8%|▊         |  402MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0015-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors:   9%|▉         |  470MB / 4.98GB            
Processing Files (0 / 1)      :   9%|▉         |  470MB / 4.98GB, 80.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  87%|████████▋ |  469MB /  537MB, 80.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
Processing Files (0 / 1)      :   8%|▊         |  403MB / 5.00GB, 71.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:  99%|█████████▉| 4.97GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:  99%|█████████▉| 4.97GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   1%|▏         | 67.5MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   1%|▏         | 67.5MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors: 100%|█████████▉| 4.98GB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
Processing Files (0 / 1)      :   1%|▏         | 67.0MB / 5.00GB, 6.57MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  99%|█████████▉| 66.5MB / 67.0MB, 6.52MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   0%|          |  368kB / 5.00GB            
Processing Files (1 / 1)      : 100%|██████████| 5.00GB / 5.00GB, 62.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|██████████| 4.99GB / 4.99GB, 62.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   0%|          |  486kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:  98%|█████████▊| 4.90GB / 5.00GB            
Processing Files (0 / 1)      :  98%|█████████▊| 4.90GB / 5.00GB, 59.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  99%|█████████▊| 4.90GB / 4.96GB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:  99%|█████████▉| 4.97GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors:  99%|█████████▉| 4.97GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  135MB / 5.00GB, 13.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  67%|██████▋   |  134MB /  201MB, 13.1MB/s  
Processing Files (0 / 1)      : 100%|█████████▉| 5.00GB / 5.00GB, 50.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|██████████| 5.00GB / 5.00GB, 50.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0021-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   1%|▏         | 67.5MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors: 100%|█████████▉| 4.98GB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   0%|          |  368kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   0%|          |  486kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   0%|          |  439kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   0%|          |  439kB / 5.00GB            
Processing Files (0 / 1)      :   0%|          |  439kB / 5.00GB, 43.0kB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:  99%|█████████▉| 4.97GB / 5.00GB            
Processing Files (0 / 1)      :  99%|█████████▉| 4.97GB / 5.00GB, 66.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  99%|█████████▉| 4.96GB / 4.99GB, 65.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:  99%|█████████▉| 4.97GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  201MB / 5.00GB, 19.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▍  |  201MB /  268MB, 19.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  135MB / 5.00GB, 13.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  67%|██████▋   |  134MB /  201MB, 13.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
Processing Files (0 / 1)      : 100%|█████████▉| 5.00GB / 5.00GB, 62.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 4.99GB / 4.99GB, 62.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   1%|▏         | 67.6MB / 5.00GB            
Processing Files (0 / 1)      :   1%|▏         | 67.6MB / 5.00GB, 6.62MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  50%|█████     | 67.1MB /  134MB, 6.58MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors: 100%|█████████▉| 4.98GB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   0%|          |  368kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   0%|          |  486kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   0%|          |  439kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:  99%|█████████▉| 4.97GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:  99%|█████████▉| 4.97GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   1%|▏         | 67.6MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors: 100%|█████████▉| 4.98GB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   0%|          |  368kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   0%|          |  486kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   0%|          |  439kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:  99%|█████████▉| 4.97GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:  99%|█████████▉| 4.97GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
Processing Files (1 / 1)      : 100%|██████████| 5.00GB / 5.00GB, 50.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|██████████| 5.00GB / 5.00GB, 50.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0017-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
Processing Files (0 / 1)      : 100%|█████████▉| 5.00GB / 5.00GB, 62.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|██████████| 4.99GB / 4.99GB, 62.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   1%|▏         | 67.6MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors: 100%|█████████▉| 4.98GB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   1%|▏         | 66.7MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
Processing Files (0 / 1)      :   1%|▏         | 66.7MB / 5.00GB, 6.54MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  49%|████▉     | 66.3MB /  134MB, 6.50MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   0%|          |  486kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   0%|          |  439kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:  99%|█████████▉| 4.97GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors:  99%|█████████▉| 4.97GB / 5.00GB            
Processing Files (0 / 1)      :  99%|█████████▉| 4.97GB / 5.00GB, 59.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  99%|█████████▉| 4.96GB / 4.99GB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  202MB / 5.00GB, 19.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▍  |  201MB /  268MB, 19.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  135MB / 5.00GB, 13.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  67%|██████▋   |  134MB /  201MB, 13.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  135MB / 5.00GB, 13.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  134MB /  134MB, 13.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors: 100%|█████████▉| 4.98GB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   1%|▏         | 67.0MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   1%|▏         | 66.7MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   0%|          |  486kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   0%|          |  439kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:  99%|█████████▉| 4.97GB / 5.00GB            
Processing Files (0 / 1)      :  99%|█████████▉| 4.97GB / 5.00GB, 59.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  99%|█████████▉| 4.96GB / 4.99GB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
Processing Files (0 / 1)      : 100%|█████████▉| 5.00GB / 5.00GB, 62.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 4.99GB / 4.99GB, 62.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  202MB / 5.00GB, 19.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▍  |  201MB /  268MB, 19.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors: 100%|█████████▉| 4.98GB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   1%|▏         | 67.5MB / 5.00GB            
Processing Files (0 / 1)      :   1%|▏         | 67.5MB / 5.00GB, 6.62MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  50%|████▉     | 67.0MB /  134MB, 6.57MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   1%|▏         | 66.7MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   1%|▏         | 67.4MB / 5.00GB            
Processing Files (0 / 1)      :   1%|▏         | 67.4MB / 5.00GB, 6.61MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  50%|████▉     | 66.9MB /  134MB, 6.56MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   0%|          |  439kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:  99%|█████████▉| 4.97GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors: 100%|█████████▉| 4.98GB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  201MB / 5.00GB, 19.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  201MB /  201MB, 19.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors: 100%|█████████▉| 4.98GB / 4.98GB            
Processing Files (0 / 1)      : 100%|█████████▉| 4.98GB / 4.98GB, 48.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|██████████| 4.98GB / 4.98GB, 48.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0011-of-00027.safetensors: 100%|█████████▉| 4.98GB / 4.98GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  134MB / 5.00GB, 13.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  134MB /  134MB, 13.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   1%|▏         | 67.4MB / 5.00GB            
Processing Files (0 / 1)      :   1%|▏         | 67.4MB / 5.00GB, 6.61MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  50%|████▉     | 67.0MB /  134MB, 6.57MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   1%|▏         | 67.4MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   0%|          |  439kB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors:  99%|█████████▉| 4.97GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   1%|▏         | 67.4MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   1%|▏         | 67.4MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   1%|          | 51.0MB / 5.00GB            
Processing Files (0 / 1)      :   1%|          | 51.0MB / 5.00GB, 5.00MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▌  | 50.6MB / 67.1MB, 4.96MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
Processing Files (0 / 1)      : 100%|█████████▉| 5.00GB / 5.00GB, 62.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 4.99GB / 4.99GB, 62.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
Processing Files (0 / 1)      : 100%|█████████▉| 5.00GB / 5.00GB, 56.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|██████████| 4.99GB / 4.99GB, 56.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  269MB / 5.00GB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  268MB /  268MB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  135MB / 5.00GB, 13.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  67%|██████▋   |  134MB /  201MB, 13.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   1%|▏         | 67.4MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
Processing Files (1 / 1)      : 100%|██████████| 5.00GB / 5.00GB, 50.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|██████████| 4.99GB / 4.99GB, 50.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   1%|▏         | 67.4MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   1%|▏         | 67.5MB / 5.00GB            
Processing Files (0 / 1)      :   1%|▏         | 67.5MB / 5.00GB, 6.62MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  50%|█████     | 67.1MB /  134MB, 6.58MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
Processing Files (0 / 1)      : 100%|█████████▉| 5.00GB / 5.00GB, 56.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 4.99GB / 4.99GB, 55.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  268MB / 5.00GB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|███████▉  |  268MB /  335MB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  134MB / 5.00GB, 13.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  134MB /  134MB, 13.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   1%|▏         | 67.5MB / 5.00GB            
Processing Files (0 / 1)      :   1%|▏         | 67.5MB / 5.00GB, 6.61MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  50%|████▉     | 67.0MB /  134MB, 6.57MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   1%|▏         | 67.5MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   4%|▎         |  177MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▎         |  177MB / 5.00GB, 17.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  88%|████████▊ |  176MB /  201MB, 17.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  135MB / 5.00GB, 13.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  67%|██████▋   |  134MB /  201MB, 13.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  134MB / 5.00GB, 13.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  133MB /  134MB, 13.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   1%|▏         | 67.5MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
Processing Files (0 / 1)      : 100%|█████████▉| 5.00GB / 5.00GB, 56.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|██████████| 4.99GB / 4.99GB, 55.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
Processing Files (0 / 1)      : 100%|█████████▉| 5.00GB / 5.00GB, 50.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|██████████| 4.99GB / 4.99GB, 50.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0003-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  269MB / 5.00GB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|███████▉  |  268MB /  335MB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  201MB / 5.00GB, 19.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▍  |  201MB /  268MB, 19.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  201MB / 5.00GB, 19.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▍  |  201MB /  268MB, 19.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   1%|▏         | 67.5MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  269MB / 5.00GB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|████████  |  268MB /  335MB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  269MB / 5.00GB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|███████▉  |  268MB /  335MB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   1%|▏         | 67.5MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  335MB / 5.00GB, 32.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB, 32.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   2%|▏         |  113MB / 5.00GB            
Processing Files (0 / 1)      :   2%|▏         |  113MB / 5.00GB, 11.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  84%|████████▍ |  113MB /  134MB, 11.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   5%|▌         |  275MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  275MB / 5.00GB, 26.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  82%|████████▏ |  274MB /  335MB, 26.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   3%|▎         |  135MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  135MB / 5.00GB, 13.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  67%|██████▋   |  134MB /  201MB, 13.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  134MB / 5.00GB, 13.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  67%|██████▋   |  134MB /  201MB, 13.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
Processing Files (0 / 1)      : 100%|█████████▉| 5.00GB / 5.00GB, 50.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|██████████| 4.99GB / 4.99GB, 49.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0019-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  335MB / 5.00GB, 32.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB, 32.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  269MB / 5.00GB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|███████▉  |  268MB /  335MB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  268MB / 5.00GB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  268MB /  268MB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  202MB / 5.00GB, 19.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▌  |  201MB /  268MB, 19.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  201MB / 5.00GB, 19.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  75%|███████▍  |  201MB /  268MB, 19.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  202MB / 5.00GB, 19.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  201MB /  201MB, 19.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  335MB / 5.00GB, 32.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  335MB /  335MB, 32.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   3%|▎         |  134MB / 5.00GB            
Processing Files (0 / 1)      :   3%|▎         |  134MB / 5.00GB, 13.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  67%|██████▋   |  134MB /  201MB, 13.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  336MB / 5.00GB, 32.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB, 32.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  268MB / 5.00GB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|███████▉  |  268MB /  335MB, 26.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
Processing Files (0 / 1)      :   4%|▍         |  202MB / 5.00GB, 19.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  201MB /  201MB, 19.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
Processing Files (0 / 1)      : 100%|█████████▉| 5.00GB / 5.00GB, 43.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|██████████| 4.99GB / 4.99GB, 43.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0013-of-00027.safetensors: 100%|█████████▉| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
Processing Files (0 / 1)      :   8%|▊         |  403MB / 5.00GB, 39.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  86%|████████▌ |  402MB /  469MB, 39.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
Processing Files (0 / 1)      :   8%|▊         |  403MB / 5.00GB, 39.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  402MB /  402MB, 39.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   4%|▍         |  201MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  335MB / 5.00GB, 32.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB, 32.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  269MB / 5.00GB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  268MB /  268MB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   5%|▍         |  245MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▍         |  245MB / 5.00GB, 24.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  91%|█████████ |  244MB /  268MB, 23.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  335MB / 5.00GB, 32.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB, 32.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  268MB / 5.00GB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|███████▉  |  268MB /  335MB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   8%|▊         |  402MB / 5.00GB            
Processing Files (0 / 1)      :   8%|▊         |  402MB / 5.00GB, 39.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  86%|████████▌ |  402MB /  469MB, 39.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  335MB / 5.00GB, 32.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  335MB /  335MB, 32.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   4%|▍         |  202MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   8%|▊         |  402MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  269MB / 5.00GB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|████████  |  268MB /  335MB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
Processing Files (0 / 1)      :   5%|▌         |  268MB / 5.00GB, 26.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  80%|███████▉  |  268MB /  335MB, 26.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
Processing Files (0 / 1)      :   9%|▉         |  470MB / 5.00GB, 46.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  87%|████████▋ |  469MB /  536MB, 46.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
Processing Files (0 / 1)      :   9%|▉         |  469MB / 5.00GB, 46.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  87%|████████▋ |  469MB /  537MB, 46.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   8%|▊         |  402MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
Processing Files (0 / 1)      :   8%|▊         |  403MB / 5.00GB, 39.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  86%|████████▌ |  402MB /  469MB, 39.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   5%|▌         |  269MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  335MB / 5.00GB, 32.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB, 32.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   8%|▊         |  402MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  335MB / 5.00GB, 32.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  334MB /  402MB, 32.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  335MB / 5.00GB, 32.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB, 32.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
Processing Files (0 / 1)      :   9%|▉         |  469MB / 5.00GB, 46.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  87%|████████▋ |  469MB /  536MB, 46.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
Processing Files (0 / 1)      :   8%|▊         |  403MB / 5.00GB, 39.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  402MB /  402MB, 39.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   5%|▌         |  268MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  336MB / 5.00GB, 32.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB, 32.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  335MB / 5.00GB, 32.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  334MB /  335MB, 32.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  11%|█         |  536MB / 5.00GB            
Processing Files (0 / 1)      :  11%|█         |  536MB / 5.00GB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  89%|████████▉ |  536MB /  603MB, 52.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
Processing Files (0 / 1)      :   8%|▊         |  403MB / 5.00GB, 39.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  86%|████████▌ |  403MB /  469MB, 39.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   7%|▋         |  336MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
Processing Files (0 / 1)      :   8%|▊         |  403MB / 5.00GB, 39.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  402MB /  402MB, 39.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
Processing Files (0 / 1)      :   7%|▋         |  335MB / 5.00GB, 32.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  83%|████████▎ |  335MB /  402MB, 32.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  11%|█         |  536MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
Processing Files (0 / 1)      :  11%|█         |  537MB / 5.00GB, 52.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  89%|████████▉ |  537MB /  604MB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
Processing Files (0 / 1)      :   9%|▉         |  469MB / 5.00GB, 46.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  87%|████████▋ |  469MB /  536MB, 46.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   8%|▊         |  402MB / 5.00GB            
Processing Files (0 / 1)      :   8%|▊         |  402MB / 5.00GB, 39.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  86%|████████▌ |  402MB /  469MB, 39.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  11%|█         |  536MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
Processing Files (0 / 1)      :  11%|█         |  537MB / 5.00GB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  89%|████████▉ |  536MB /  604MB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   8%|▊         |  402MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  11%|█         |  536MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
Processing Files (0 / 1)      :   9%|▉         |  470MB / 5.00GB, 46.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  87%|████████▋ |  469MB /  536MB, 46.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   8%|▊         |  402MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   7%|▋         |  335MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
Processing Files (0 / 1)      :  12%|█▏        |  604MB / 5.00GB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  603MB /  603MB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  11%|█▏        |  575MB / 5.00GB            
Processing Files (0 / 1)      :  11%|█▏        |  575MB / 5.00GB, 56.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  95%|█████████▌|  574MB /  604MB, 56.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
Processing Files (0 / 1)      :   9%|▉         |  470MB / 5.00GB, 46.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  87%|████████▋ |  469MB /  536MB, 46.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   9%|▊         |  430MB / 5.00GB            
Processing Files (0 / 1)      :   9%|▊         |  430MB / 5.00GB, 42.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  92%|█████████▏|  430MB /  469MB, 42.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
Processing Files (0 / 1)      :   9%|▉         |  469MB / 5.00GB, 46.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  469MB /  469MB, 46.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
Processing Files (0 / 1)      :   8%|▊         |  403MB / 5.00GB, 39.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  86%|████████▌ |  402MB /  470MB, 39.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
Processing Files (0 / 1)      :  12%|█▏        |  604MB / 5.00GB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  90%|████████▉ |  603MB /  671MB, 59.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
Processing Files (0 / 1)      :  11%|█         |  537MB / 5.00GB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  89%|████████▉ |  536MB /  604MB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
Processing Files (0 / 1)      :   9%|▉         |  469MB / 5.00GB, 46.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  87%|████████▋ |  469MB /  537MB, 46.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
Processing Files (0 / 1)      :  12%|█▏        |  604MB / 5.00GB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  603MB /  604MB, 59.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  10%|█         |  518MB / 5.00GB            
Processing Files (0 / 1)      :  10%|█         |  518MB / 5.00GB, 50.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  96%|█████████▋|  517MB /  536MB, 50.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
Processing Files (0 / 1)      :   9%|▉         |  470MB / 5.00GB, 46.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  87%|████████▋ |  469MB /  537MB, 46.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:   9%|▉         |  469MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   8%|▊         |  403MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
Processing Files (0 / 1)      :  13%|█▎        |  671MB / 5.00GB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  670MB /  670MB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  11%|█         |  536MB / 5.00GB            
Processing Files (0 / 1)      :  11%|█         |  536MB / 5.00GB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  89%|████████▉ |  536MB /  604MB, 52.5MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
Processing Files (0 / 1)      :  11%|█         |  537MB / 5.00GB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  536MB /  537MB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
Processing Files (0 / 1)      :   9%|▉         |  470MB / 5.00GB, 46.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  87%|████████▋ |  469MB /  537MB, 46.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
Processing Files (0 / 1)      :  13%|█▎        |  671MB / 5.00GB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  91%|█████████ |  670MB /  738MB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
Processing Files (0 / 1)      :  13%|█▎        |  671MB / 5.00GB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  91%|█████████ |  670MB /  738MB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
Processing Files (0 / 1)      :  12%|█▏        |  604MB / 5.00GB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  603MB /  604MB, 59.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  11%|█         |  536MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
Processing Files (0 / 1)      :  11%|█         |  537MB / 5.00GB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  89%|████████▉ |  536MB /  604MB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
Processing Files (0 / 1)      :  12%|█▏        |  604MB / 5.00GB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  90%|████████▉ |  604MB /  671MB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  11%|█         |  536MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
Processing Files (0 / 1)      :  11%|█         |  537MB / 5.00GB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  89%|████████▉ |  536MB /  604MB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  11%|█         |  536MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:   9%|▉         |  470MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
Processing Files (0 / 1)      :  13%|█▎        |  671MB / 5.00GB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  91%|█████████ |  671MB /  738MB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
Processing Files (0 / 1)      :  12%|█▏        |  604MB / 5.00GB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  604MB /  604MB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
Processing Files (0 / 1)      :  11%|█         |  537MB / 5.00GB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  89%|████████▉ |  537MB /  604MB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
Processing Files (0 / 1)      :  11%|█         |  537MB / 5.00GB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  536MB /  537MB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  15%|█▍        |  738MB / 5.00GB            
Processing Files (0 / 1)      :  15%|█▍        |  738MB / 5.00GB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  92%|█████████▏|  738MB /  805MB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  15%|█▍        |  738MB / 5.00GB            
Processing Files (0 / 1)      :  15%|█▍        |  738MB / 5.00GB, 72.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  737MB /  738MB, 72.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
Processing Files (0 / 1)      :  12%|█▏        |  604MB / 5.00GB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  603MB /  604MB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  15%|█▍        |  738MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  15%|█▍        |  738MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
Processing Files (0 / 1)      :  13%|█▎        |  671MB / 5.00GB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  670MB /  671MB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
Processing Files (0 / 1)      :  11%|█         |  537MB / 5.00GB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  89%|████████▉ |  537MB /  604MB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  15%|█▍        |  738MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  15%|█▍        |  738MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  15%|█▍        |  738MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  15%|█▍        |  738MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:  12%|█▏        |  603MB / 5.00GB            
Processing Files (0 / 1)      :  12%|█▏        |  603MB / 5.00GB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  603MB /  604MB, 59.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:  11%|█         |  537MB / 5.00GB            
Processing Files (0 / 1)      :  11%|█         |  537MB / 5.00GB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  89%|████████▉ |  537MB /  604MB, 52.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  16%|█▌        |  805MB / 5.00GB            
Processing Files (0 / 1)      :  16%|█▌        |  805MB / 5.00GB, 72.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  804MB /  805MB, 72.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  15%|█▍        |  738MB / 5.00GB            
Processing Files (0 / 1)      :  15%|█▍        |  738MB / 5.00GB, 65.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  92%|█████████▏|  738MB /  805MB, 65.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  15%|█▍        |  738MB / 5.00GB            
Processing Files (0 / 1)      :  15%|█▍        |  738MB / 5.00GB, 65.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  92%|█████████▏|  737MB /  805MB, 65.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  12%|█▏        |  610MB / 5.00GB            
Processing Files (0 / 1)      :  12%|█▏        |  610MB / 5.00GB, 59.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  91%|█████████ |  609MB /  671MB, 59.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:  12%|█▏        |  603MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
Processing Files (0 / 1)      :  12%|█▏        |  604MB / 5.00GB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  90%|█████████ |  604MB /  671MB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
Processing Files (0 / 1)      :  12%|█▏        |  604MB / 5.00GB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  90%|████████▉ |  603MB /  671MB, 59.1MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  16%|█▌        |  805MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  15%|█▍        |  738MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  15%|█▍        |  738MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
Processing Files (0 / 1)      :  13%|█▎        |  671MB / 5.00GB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  91%|█████████ |  671MB /  738MB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:  12%|█▏        |  603MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  16%|█▌        |  805MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  16%|█▌        |  805MB / 5.00GB            
Processing Files (0 / 1)      :  16%|█▌        |  805MB / 5.00GB, 72.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  92%|█████████▏|  804MB /  872MB, 72.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  15%|█▍        |  738MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
Processing Files (0 / 1)      :  13%|█▎        |  671MB / 5.00GB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  91%|█████████ |  671MB /  738MB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:  12%|█▏        |  603MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  16%|█▌        |  805MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  16%|█▌        |  805MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  15%|█▍        |  738MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:  12%|█▏        |  603MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  16%|█▌        |  805MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0023-of-00027.safetensors:  16%|█▌        |  805MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors:  15%|█▌        |  763MB / 5.00GB            
Processing Files (0 / 1)      :  15%|█▌        |  763MB / 5.00GB, 68.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  95%|█████████▍|  763MB /  805MB, 68.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors:  14%|█▍        |  710MB / 5.00GB            
Processing Files (0 / 1)      :  14%|█▍        |  710MB / 5.00GB, 63.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  96%|█████████▌|  710MB /  738MB, 63.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0001-of-00027.safetensors:  12%|█▏        |  603MB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors:  13%|█▎        |  671MB / 5.00GB            
Processing Files (0 / 1)      :  13%|█▎        |  671MB / 5.00GB, 65.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  91%|█████████ |  670MB /  738MB, 65.7MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors:  12%|█▏        |  604MB / 5.00GB            
Processing Files (0 / 1)      :  12%|█▏        |  604MB / 5.00GB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  90%|████████▉ |  604MB /  671MB, 59.2MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0012-of-00027.safetensors:  17%|█▋        |  872MB / 5.00GB            
Processing Files (0 / 1)      :  17%|█▋        |  872MB / 5.00GB, 72.3MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉|  804MB /  805MB, 78.8MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  31%|███       | 1.54GB / 5.00GB            
Processing Files (0 / 1)      :  31%|███       | 1.54GB / 5.00GB,  118MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 1.54GB / 1.54GB,  118MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  17%|█▋        |  872MB / 5.00GB            
Processing Files (0 / 1)      :  17%|█▋        |  872MB / 5.00GB, 85.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  93%|█████████▎|  871MB /  939MB, 85.4MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  32%|███▏      | 1.61GB / 5.00GB            
Processing Files (0 / 1)      :  32%|███▏      | 1.61GB / 5.00GB,  118MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  96%|█████████▌| 1.61GB / 1.68GB,  118MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  19%|█▉        |  939MB / 5.00GB            
Processing Files (0 / 1)      :  19%|█▉        |  939MB / 5.00GB, 92.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  93%|█████████▎|  938MB / 1.01GB, 92.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  34%|███▎      | 1.68GB / 5.00GB            
Processing Files (0 / 1)      :  34%|███▎      | 1.68GB / 5.00GB,  125MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  96%|█████████▌| 1.68GB / 1.74GB,  125MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  19%|█▉        |  969MB / 5.00GB            
Processing Files (0 / 1)      :  19%|█▉        |  969MB / 5.00GB, 95.0MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  96%|█████████▋|  968MB / 1.01GB, 94.9MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  34%|███▎      | 1.68GB / 5.00GB            
Processing Files (0 / 1)      :  34%|███▎      | 1.68GB / 5.00GB,  125MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  96%|█████████▌| 1.68GB / 1.74GB,  125MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  20%|██        | 1.01GB / 5.00GB            
Processing Files (0 / 1)      :  20%|██        | 1.01GB / 5.00GB, 98.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  94%|█████████▎| 1.01GB / 1.07GB, 98.6MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  35%|███▌      | 1.75GB / 5.00GB            
Processing Files (0 / 1)      :  35%|███▌      | 1.75GB / 5.00GB,  132MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  97%|█████████▋| 1.75GB / 1.81GB,  132MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  21%|██▏       | 1.07GB / 5.00GB            
Processing Files (0 / 1)      :  21%|██▏       | 1.07GB / 5.00GB,  105MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  94%|█████████▍| 1.07GB / 1.14GB,  105MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  36%|███▌      | 1.81GB / 5.00GB            
Processing Files (0 / 1)      :  36%|███▌      | 1.81GB / 5.00GB,  131MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  96%|█████████▋| 1.81GB / 1.88GB,  131MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  23%|██▎       | 1.14GB / 5.00GB            
Processing Files (0 / 1)      :  23%|██▎       | 1.14GB / 5.00GB,  112MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  94%|█████████▍| 1.14GB / 1.21GB,  112MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  38%|███▊      | 1.88GB / 5.00GB            
Processing Files (0 / 1)      :  38%|███▊      | 1.88GB / 5.00GB,  138MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  97%|█████████▋| 1.88GB / 1.95GB,  138MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  24%|██▍       | 1.21GB / 5.00GB            
Processing Files (0 / 1)      :  24%|██▍       | 1.21GB / 5.00GB,  118MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  95%|█████████▍| 1.21GB / 1.27GB,  118MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  39%|███▉      | 1.94GB / 5.00GB            
Processing Files (0 / 1)      :  39%|███▉      | 1.94GB / 5.00GB,  145MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 1.94GB / 1.95GB,  145MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  24%|██▍       | 1.21GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  39%|███▉      | 1.94GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  25%|██▌       | 1.27GB / 5.00GB            
Processing Files (0 / 1)      :  25%|██▌       | 1.27GB / 5.00GB,  125MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  95%|█████████▍| 1.27GB / 1.34GB,  125MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  40%|████      | 2.01GB / 5.00GB            
Processing Files (0 / 1)      :  40%|████      | 2.01GB / 5.00GB,  151MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  97%|█████████▋| 2.01GB / 2.08GB,  151MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  28%|██▊       | 1.41GB / 5.00GB            
Processing Files (0 / 1)      :  28%|██▊       | 1.41GB / 5.00GB,  138MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 1.40GB / 1.41GB,  138MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  42%|████▏     | 2.08GB / 5.00GB            
Processing Files (0 / 1)      :  42%|████▏     | 2.08GB / 5.00GB,  158MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  97%|█████████▋| 2.08GB / 2.15GB,  158MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  30%|██▉       | 1.47GB / 5.00GB            
Processing Files (0 / 1)      :  30%|██▉       | 1.47GB / 5.00GB,  145MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 1.47GB / 1.48GB,  145MB/s  
HTTP Request: %s %s "%s %d %s"
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  44%|████▍     | 2.21GB / 5.00GB            
Processing Files (0 / 1)      :  44%|████▍     | 2.21GB / 5.00GB,  164MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 2.21GB / 2.21GB,  164MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  30%|██▉       | 1.47GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  44%|████▍     | 2.21GB / 5.00GB            
Processing Files (0 / 1)      :  44%|████▍     | 2.21GB / 5.00GB,  164MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  97%|█████████▋| 2.21GB / 2.28GB,  164MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  31%|███       | 1.54GB / 5.00GB            
Processing Files (0 / 1)      :  31%|███       | 1.54GB / 5.00GB,  151MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 1.54GB / 1.54GB,  151MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  45%|████▍     | 2.23GB / 5.00GB            
Processing Files (0 / 1)      :  45%|████▍     | 2.23GB / 5.00GB,  166MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 2.23GB / 2.28GB,  166MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  32%|███▏      | 1.61GB / 5.00GB            
Processing Files (0 / 1)      :  32%|███▏      | 1.61GB / 5.00GB,  158MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 1.61GB / 1.61GB,  158MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  47%|████▋     | 2.35GB / 5.00GB            
Processing Files (0 / 1)      :  47%|████▋     | 2.35GB / 5.00GB,  178MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 2.35GB / 2.35GB,  177MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  34%|███▎      | 1.68GB / 5.00GB            
Processing Files (0 / 1)      :  34%|███▎      | 1.68GB / 5.00GB,  164MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 1.67GB / 1.68GB,  164MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  48%|████▊     | 2.41GB / 5.00GB            
Processing Files (0 / 1)      :  48%|████▊     | 2.41GB / 5.00GB,  177MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  97%|█████████▋| 2.41GB / 2.48GB,  177MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  35%|███▍      | 1.74GB / 5.00GB            
Processing Files (0 / 1)      :  35%|███▍      | 1.74GB / 5.00GB,  171MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 1.74GB / 1.74GB,  171MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  48%|████▊     | 2.41GB / 5.00GB            
Processing Files (0 / 1)      :  48%|████▊     | 2.41GB / 5.00GB,  178MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  97%|█████████▋| 2.41GB / 2.48GB,  178MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  35%|███▍      | 1.74GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  50%|████▉     | 2.48GB / 5.00GB            
Processing Files (0 / 1)      :  50%|████▉     | 2.48GB / 5.00GB,  184MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 2.48GB / 2.48GB,  184MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  35%|███▌      | 1.76GB / 5.00GB            
Processing Files (0 / 1)      :  35%|███▌      | 1.76GB / 5.00GB,  173MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  97%|█████████▋| 1.76GB / 1.81GB,  173MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  50%|█████     | 2.51GB / 5.00GB            
Processing Files (0 / 1)      :  50%|█████     | 2.51GB / 5.00GB,  187MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 2.51GB / 2.55GB,  187MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  36%|███▌      | 1.81GB / 5.00GB            
Processing Files (0 / 1)      :  36%|███▌      | 1.81GB / 5.00GB,  177MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  96%|█████████▋| 1.81GB / 1.88GB,  177MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  51%|█████     | 2.55GB / 5.00GB            
Processing Files (0 / 1)      :  51%|█████     | 2.55GB / 5.00GB,  191MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  97%|█████████▋| 2.55GB / 2.62GB,  191MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  38%|███▊      | 1.88GB / 5.00GB            
Processing Files (0 / 1)      :  38%|███▊      | 1.88GB / 5.00GB,  184MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 1.88GB / 1.88GB,  184MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  52%|█████▏    | 2.62GB / 5.00GB            
Processing Files (0 / 1)      :  52%|█████▏    | 2.62GB / 5.00GB,  191MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 2.61GB / 2.62GB,  191MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  38%|███▊      | 1.88GB / 5.00GB            
Processing Files (0 / 1)      :  38%|███▊      | 1.88GB / 5.00GB,  184MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  96%|█████████▋| 1.88GB / 1.94GB,  184MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  52%|█████▏    | 2.62GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  39%|███▉      | 1.94GB / 5.00GB            
Processing Files (0 / 1)      :  39%|███▉      | 1.94GB / 5.00GB,  191MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  97%|█████████▋| 1.94GB / 2.01GB,  191MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  54%|█████▎    | 2.68GB / 5.00GB            
Processing Files (0 / 1)      :  54%|█████▎    | 2.68GB / 5.00GB,  197MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 2.68GB / 2.68GB,  197MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  40%|████      | 2.01GB / 5.00GB            
Processing Files (0 / 1)      :  40%|████      | 2.01GB / 5.00GB,  197MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 2.01GB / 2.01GB,  197MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  55%|█████▍    | 2.75GB / 5.00GB            
Processing Files (0 / 1)      :  55%|█████▍    | 2.75GB / 5.00GB,  204MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 2.75GB / 2.82GB,  204MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  42%|████▏     | 2.08GB / 5.00GB            
Processing Files (0 / 1)      :  42%|████▏     | 2.08GB / 5.00GB,  204MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  97%|█████████▋| 2.08GB / 2.15GB,  204MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  55%|█████▍    | 2.75GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  42%|████▏     | 2.08GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  56%|█████▋    | 2.82GB / 5.00GB            
Processing Files (0 / 1)      :  56%|█████▋    | 2.82GB / 5.00GB,  204MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 2.82GB / 2.88GB,  204MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  43%|████▎     | 2.14GB / 5.00GB            
Processing Files (0 / 1)      :  43%|████▎     | 2.14GB / 5.00GB,  210MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 2.14GB / 2.15GB,  210MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  56%|█████▋    | 2.82GB / 5.00GB            
Processing Files (0 / 1)      :  56%|█████▋    | 2.82GB / 5.00GB,  204MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 2.82GB / 2.88GB,  204MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  43%|████▎     | 2.14GB / 5.00GB            
Processing Files (0 / 1)      :  43%|████▎     | 2.14GB / 5.00GB,  210MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  97%|█████████▋| 2.14GB / 2.21GB,  210MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  58%|█████▊    | 2.88GB / 5.00GB            
Processing Files (0 / 1)      :  58%|█████▊    | 2.88GB / 5.00GB,  210MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 2.88GB / 2.95GB,  210MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  44%|████▍     | 2.21GB / 5.00GB            
Processing Files (0 / 1)      :  44%|████▍     | 2.21GB / 5.00GB,  217MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 2.21GB / 2.21GB,  217MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  59%|█████▉    | 2.95GB / 5.00GB            
Processing Files (0 / 1)      :  59%|█████▉    | 2.95GB / 5.00GB,  217MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 2.95GB / 3.02GB,  217MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  46%|████▌     | 2.28GB / 5.00GB            
Processing Files (0 / 1)      :  46%|████▌     | 2.28GB / 5.00GB,  223MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 2.28GB / 2.28GB,  223MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  60%|██████    | 3.02GB / 5.00GB            
Processing Files (0 / 1)      :  60%|██████    | 3.02GB / 5.00GB,  224MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 3.02GB / 3.02GB,  223MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  47%|████▋     | 2.35GB / 5.00GB            
Processing Files (0 / 1)      :  47%|████▋     | 2.35GB / 5.00GB,  223MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 2.35GB / 2.35GB,  223MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  62%|██████▏   | 3.08GB / 5.00GB            
Processing Files (0 / 1)      :  62%|██████▏   | 3.08GB / 5.00GB,  223MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 3.08GB / 3.08GB,  223MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  48%|████▊     | 2.41GB / 5.00GB            
Processing Files (0 / 1)      :  48%|████▊     | 2.41GB / 5.00GB,  230MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 2.41GB / 2.41GB,  230MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  62%|██████▏   | 3.08GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  48%|████▊     | 2.41GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  63%|██████▎   | 3.15GB / 5.00GB            
Processing Files (0 / 1)      :  63%|██████▎   | 3.15GB / 5.00GB,  230MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 3.15GB / 3.15GB,  230MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  50%|████▉     | 2.48GB / 5.00GB            
Processing Files (0 / 1)      :  50%|████▉     | 2.48GB / 5.00GB,  237MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  97%|█████████▋| 2.48GB / 2.55GB,  237MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  64%|██████▍   | 3.22GB / 5.00GB            
Processing Files (0 / 1)      :  64%|██████▍   | 3.22GB / 5.00GB,  237MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader:                              







chaiml-muster-v1-q235b-25291-v1-uploader: ---------- 2026-02-03 19:07:28 (0:04:00) ----------
chaiml-muster-v1-q235b-25291-v1-uploader: Files:   hashed 38/38 (131.9G/131.9G) | pre-uploaded: 26/28 (121.9G/131.9G) | committed: 0/38 (0.0/131.9G) | ignored: 0
chaiml-muster-v1-q235b-25291-v1-uploader: Workers: hashing: 0 | get upload mode: 0 | pre-uploading: 2 | committing: 0 | waiting: 124
chaiml-muster-v1-q235b-25291-v1-uploader: ---------------------------------------------------
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 3.22GB / 3.22GB,  237MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  51%|█████     | 2.55GB / 5.00GB            
Processing Files (0 / 1)      :  51%|█████     | 2.55GB / 5.00GB,  237MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  97%|█████████▋| 2.55GB / 2.62GB,  237MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  64%|██████▍   | 3.22GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  52%|█████▏    | 2.61GB / 5.00GB            
Processing Files (0 / 1)      :  52%|█████▏    | 2.61GB / 5.00GB,  243MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  97%|█████████▋| 2.61GB / 2.68GB,  243MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  66%|██████▌   | 3.29GB / 5.00GB            
Processing Files (0 / 1)      :  66%|██████▌   | 3.29GB / 5.00GB,  237MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 3.29GB / 3.29GB,  237MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  54%|█████▎    | 2.68GB / 5.00GB            
Processing Files (0 / 1)      :  54%|█████▎    | 2.68GB / 5.00GB,  250MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 2.68GB / 2.75GB,  250MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  66%|██████▌   | 3.29GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  54%|█████▎    | 2.68GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  66%|██████▌   | 3.29GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  55%|█████▌    | 2.75GB / 5.00GB            
Processing Files (0 / 1)      :  55%|█████▌    | 2.75GB / 5.00GB,  250MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 2.75GB / 2.82GB,  250MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  67%|██████▋   | 3.35GB / 5.00GB            
Processing Files (0 / 1)      :  67%|██████▋   | 3.35GB / 5.00GB,  242MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 3.35GB / 3.42GB,  242MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  56%|█████▋    | 2.82GB / 5.00GB            
Processing Files (0 / 1)      :  56%|█████▋    | 2.82GB / 5.00GB,  256MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 2.82GB / 2.82GB,  256MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  68%|██████▊   | 3.42GB / 5.00GB            
Processing Files (0 / 1)      :  68%|██████▊   | 3.42GB / 5.00GB,  243MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 3.42GB / 3.49GB,  243MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  58%|█████▊    | 2.88GB / 5.00GB            
Processing Files (0 / 1)      :  58%|█████▊    | 2.88GB / 5.00GB,  256MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 2.88GB / 2.88GB,  256MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  70%|██████▉   | 3.49GB / 5.00GB            
Processing Files (0 / 1)      :  70%|██████▉   | 3.49GB / 5.00GB,  250MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 3.49GB / 3.55GB,  250MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  59%|█████▉    | 2.95GB / 5.00GB            
Processing Files (0 / 1)      :  59%|█████▉    | 2.95GB / 5.00GB,  263MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 2.95GB / 3.02GB,  263MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  71%|███████   | 3.55GB / 5.00GB            
Processing Files (0 / 1)      :  71%|███████   | 3.55GB / 5.00GB,  250MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 3.55GB / 3.62GB,  250MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  59%|█████▉    | 2.95GB / 5.00GB            
Processing Files (0 / 1)      :  59%|█████▉    | 2.95GB / 5.00GB,  263MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 2.95GB / 3.02GB,  263MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  71%|███████   | 3.55GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  60%|█████▉    | 2.99GB / 5.00GB            
Processing Files (0 / 1)      :  60%|█████▉    | 2.99GB / 5.00GB,  260MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  99%|█████████▉| 2.99GB / 3.02GB,  260MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  71%|███████   | 3.55GB / 5.00GB            
Processing Files (0 / 1)      :  71%|███████   | 3.55GB / 5.00GB,  243MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 3.55GB / 3.62GB,  243MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  61%|██████    | 3.03GB / 5.00GB            
Processing Files (0 / 1)      :  61%|██████    | 3.03GB / 5.00GB,  258MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 3.03GB / 3.08GB,  258MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  72%|███████▏  | 3.62GB / 5.00GB            
Processing Files (0 / 1)      :  72%|███████▏  | 3.62GB / 5.00GB,  243MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 3.62GB / 3.69GB,  243MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  63%|██████▎   | 3.15GB / 5.00GB            
Processing Files (0 / 1)      :  63%|██████▎   | 3.15GB / 5.00GB,  266MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 3.15GB / 3.15GB,  266MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  75%|███████▍  | 3.74GB / 5.00GB            
Processing Files (0 / 1)      :  75%|███████▍  | 3.74GB / 5.00GB,  248MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  99%|█████████▉| 3.74GB / 3.76GB,  248MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  64%|██████▍   | 3.22GB / 5.00GB            
Processing Files (0 / 1)      :  64%|██████▍   | 3.22GB / 5.00GB,  263MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 3.22GB / 3.22GB,  263MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  76%|███████▋  | 3.82GB / 5.00GB            
Processing Files (0 / 1)      :  76%|███████▋  | 3.82GB / 5.00GB,  256MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 3.82GB / 3.82GB,  256MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  64%|██████▍   | 3.22GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  76%|███████▋  | 3.82GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  66%|██████▌   | 3.29GB / 5.00GB            
Processing Files (0 / 1)      :  66%|██████▌   | 3.29GB / 5.00GB,  256MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 3.28GB / 3.35GB,  256MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  78%|███████▊  | 3.89GB / 5.00GB            
Processing Files (0 / 1)      :  78%|███████▊  | 3.89GB / 5.00GB,  243MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : 100%|█████████▉| 3.89GB / 3.89GB,  243MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  67%|██████▋   | 3.35GB / 5.00GB            
Processing Files (0 / 1)      :  67%|██████▋   | 3.35GB / 5.00GB,  263MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 3.35GB / 3.42GB,  263MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  79%|███████▉  | 3.96GB / 5.00GB            
Processing Files (0 / 1)      :  79%|███████▉  | 3.96GB / 5.00GB,  250MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               :  98%|█████████▊| 3.95GB / 4.02GB,  250MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0025-of-00027.safetensors:  68%|██████▊   | 3.42GB / 5.00GB            
Processing Files (0 / 1)      :  68%|██████▊   | 3.42GB / 5.00GB,  263MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  94%|█████████▍| 4.71GB / 5.00GB            
Processing Files (26 / 28)    : 100%|█████████▉|  131GB /  132GB, 1.59GB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  97%|█████████▋| 4.87GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  96%|█████████▋| 4.82GB / 5.00GB            
Processing Files (26 / 28)    : 100%|█████████▉|  132GB /  132GB, 1.54GB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors:  99%|█████████▉| 4.97GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors:  98%|█████████▊| 4.92GB / 5.00GB            
Processing Files (26 / 28)    : 100%|█████████▉|  132GB /  132GB, 1.50GB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
Processing Files (28 / 28)    : 100%|██████████|  132GB /  132GB, 1.44GB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader:                              







chaiml-muster-v1-q235b-25291-v1-uploader: ---------- 2026-02-03 19:08:28 (0:05:00) ----------
chaiml-muster-v1-q235b-25291-v1-uploader: Files:   hashed 38/38 (131.9G/131.9G) | pre-uploaded: 28/28 (131.9G/131.9G) | committed: 0/38 (0.0/131.9G) | ignored: 0
chaiml-muster-v1-q235b-25291-v1-uploader: Workers: hashing: 0 | get upload mode: 0 | pre-uploading: 0 | committing: 1 | waiting: 125
chaiml-muster-v1-q235b-25291-v1-uploader: ---------------------------------------------------
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
Processing Files (28 / 28)    : 100%|██████████|  132GB /  132GB,  335MB/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
New Data Upload               : |          |  0.00B /  0.00B,  0.00B/s  
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0018-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0002-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0014-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0010-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0020-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0008-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0009-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0006-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0016-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: 
  ...0026-of-00027.safetensors: 100%|██████████| 5.00GB / 5.00GB            
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00027-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00027-of-00027.safetensors
HTTP Request: %s %s "%s %d %s"
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00009-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00009-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00003-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00003-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00006-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00006-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00020-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00020-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00025-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00025-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00002-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00002-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00005-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00005-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00021-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00021-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00007-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00007-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00011-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00011-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00022-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00022-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00018-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00018-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00001-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00001-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00013-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00013-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00010-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00010-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00024-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00024-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00026-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00026-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00008-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00008-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00017-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00017-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00019-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00019-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00023-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00023-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00015-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00015-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00016-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00016-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00004-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00004-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00014-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00014-of-00027.safetensors
chaiml-muster-v1-q235b-25291-v1-uploader: cp /dev/shm/model_output/model-00012-of-00027.safetensors s3://guanaco-vllm-models/chaiml-muster-v1-q235b-25291-v1/model-00012-of-00027.safetensors
Job chaiml-muster-v1-q235b-25291-v1-uploader completed after 6007.74s with status: succeeded
Stopping job with name chaiml-muster-v1-q235b-25291-v1-uploader
Pipeline stage VLLMUploader completed in 6008.66s
run pipeline stage %s
Running pipeline stage VLLMTemplater
Pipeline stage VLLMTemplater completed in 0.42s
run pipeline stage %s
Running pipeline stage VLLMDeployer
Creating inference service chaiml-muster-v1-q235b-25291-v1
Waiting for inference service chaiml-muster-v1-q235b-25291-v1 to be ready
Inference service chaiml-muster-v1-q235b-25291-v1 ready after 491.0860412120819s
Pipeline stage VLLMDeployer completed in 492.50s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9676077365875244s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.0936601161956787s
Received healthy response to inference request in 2.0510008335113525s
Received healthy response to inference request in 1.9336624145507812s
Received healthy response to inference request in 1.8352890014648438s
Received healthy response to inference request in 2.0007407665252686s
Received healthy response to inference request in 1.8966009616851807s
Received healthy response to inference request in 2.0129852294921875s
Received healthy response to inference request in 1.9371652603149414s
Received healthy response to inference request in 1.8563883304595947s
Received healthy response to inference request in 2.0204274654388428s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.1769297122955322s
Received healthy response to inference request in 2.429039478302002s
Received healthy response to inference request in 1.9529173374176025s
Received healthy response to inference request in 1.884627103805542s
Received healthy response to inference request in 2.0983173847198486s
Received healthy response to inference request in 2.101409912109375s
Received healthy response to inference request in 1.9576294422149658s
Received healthy response to inference request in 1.848128318786621s
Received healthy response to inference request in 1.8912420272827148s
Received healthy response to inference request in 2.0181820392608643s
Received healthy response to inference request in 1.9818074703216553s
Received healthy response to inference request in 1.982090711593628s
Received healthy response to inference request in 2.3204751014709473s
Received healthy response to inference request in 1.8611700534820557s
Received healthy response to inference request in 2.215625286102295s
Received healthy response to inference request in 1.9295556545257568s
Received healthy response to inference request in 1.9232380390167236s
Received healthy response to inference request in 1.8869123458862305s
Received healthy response to inference request in 1.956878423690796s
30 requests
0 failed requests
5th percentile: 1.8518453240394592
10th percentile: 1.8606918811798097
20th percentile: 1.890376091003418
30th percentile: 1.9276603698730468
40th percentile: 1.9466165065765382
50th percentile: 1.9626185894012451
60th percentile: 1.989550733566284
70th percentile: 2.018855667114258
80th percentile: 2.094591569900513
90th percentile: 2.1807992696762084
95th percentile: 2.2732926845550536
99th percentile: 2.397555809020996
mean time: 2.000723465283712
Pipeline stage StressChecker completed in 75.29s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 1.61s
Shutdown handler de-registered
chaiml-muster-v1-q235b-_25291_v1 status is now deployed due to DeploymentManager action
chaiml-muster-v1-q235b-_25291_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-muster-v1-q235b-_25291_v1 status is now torndown due to DeploymentManager action