Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-llama-8b-multihe-54063-v8-mkmlizer
Waiting for job on chaiml-llama-8b-multihe-54063-v8-mkmlizer to finish
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║     _____            __           __                                ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║       /___/                                                         ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║                                                                     ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║  Version: 0.12.8                                                    ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║                                                                     ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║  belonging to:                                                      ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║                                                                     ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ║                                                                     ║
chaiml-llama-8b-multihe-54063-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-llama-8b-multihe-54063-v8-mkmlizer: Downloaded to shared memory in 58.687s
chaiml-llama-8b-multihe-54063-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp1pzjd3y8, device:0
chaiml-llama-8b-multihe-54063-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-llama-8b-multihe-54063-v8-mkmlizer: quantized model in 87.321s
chaiml-llama-8b-multihe-54063-v8-mkmlizer: Processed model ChaiML/llama_8b_multihead_204m_preference in 146.008s
chaiml-llama-8b-multihe-54063-v8-mkmlizer: creating bucket guanaco-mkml-models
chaiml-llama-8b-multihe-54063-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-llama-8b-multihe-54063-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-llama-8b-multihe-54063-v8
chaiml-llama-8b-multihe-54063-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-llama-8b-multihe-54063-v8/special_tokens_map.json
chaiml-llama-8b-multihe-54063-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-llama-8b-multihe-54063-v8/config.json
chaiml-llama-8b-multihe-54063-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-llama-8b-multihe-54063-v8/tokenizer.json
chaiml-llama-8b-multihe-54063-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-llama-8b-multihe-54063-v8/flywheel_model.0.safetensors
chaiml-llama-8b-multihe-54063-v8-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   1%|          | 3/291 [00:00<00:57,  5.01it/s]
Loading 0:   1%|▏         | 4/291 [00:01<01:33,  3.08it/s]
Loading 0:   2%|▏         | 5/291 [00:01<02:04,  2.29it/s]
Loading 0:   3%|▎         | 8/291 [00:02<01:04,  4.38it/s]
Loading 0:   3%|▎         | 9/291 [00:02<01:03,  4.44it/s]
Loading 0:   3%|▎         | 10/291 [00:02<00:55,  5.08it/s]
Loading 0:   4%|▍         | 12/291 [00:02<01:06,  4.22it/s]
Loading 0:   4%|▍         | 13/291 [00:03<01:27,  3.17it/s]
Loading 0:   5%|▍         | 14/291 [00:04<01:49,  2.52it/s]
Loading 0:   6%|▌         | 17/291 [00:04<01:03,  4.32it/s]
Loading 0:   6%|▌         | 18/291 [00:04<01:00,  4.53it/s]
Loading 0:   7%|▋         | 19/291 [00:04<00:53,  5.07it/s]
Loading 0:   7%|▋         | 21/291 [00:05<01:04,  4.20it/s]
Loading 0:   8%|▊         | 22/291 [00:05<01:25,  3.16it/s]
Loading 0:   8%|▊         | 23/291 [00:06<01:47,  2.50it/s]
Loading 0:   9%|▉         | 26/291 [00:06<01:02,  4.26it/s]
Loading 0:   9%|▉         | 27/291 [00:07<00:59,  4.47it/s]
Loading 0:  10%|▉         | 28/291 [00:07<00:52,  4.99it/s]
Loading 0:  10%|█         | 30/291 [00:07<00:42,  6.11it/s]
Loading 0:  11%|█         | 31/291 [00:07<00:42,  6.06it/s]
Loading 0:  11%|█         | 32/291 [00:07<00:39,  6.61it/s]
Loading 0:  11%|█▏        | 33/291 [00:07<00:40,  6.37it/s]
Loading 0:  12%|█▏        | 34/291 [00:08<01:09,  3.68it/s]
Loading 0:  12%|█▏        | 35/291 [00:08<01:33,  2.74it/s]
Loading 0:  12%|█▏        | 36/291 [00:09<01:53,  2.24it/s]
Loading 0:  13%|█▎        | 39/291 [00:10<01:18,  3.22it/s]
Loading 0:  14%|█▎        | 40/291 [00:10<01:32,  2.72it/s]
Loading 0:  14%|█▍        | 41/291 [00:11<01:48,  2.29it/s]
Loading 0:  15%|█▌        | 44/291 [00:11<01:02,  3.95it/s]
Loading 0:  15%|█▌        | 45/291 [00:11<00:58,  4.20it/s]
Loading 0:  16%|█▌        | 46/291 [00:11<00:51,  4.74it/s]
Loading 0:  16%|█▋        | 48/291 [00:12<00:59,  4.12it/s]
Loading 0:  17%|█▋        | 49/291 [00:13<01:16,  3.16it/s]
Loading 0:  17%|█▋        | 50/291 [00:13<01:36,  2.50it/s]
Loading 0:  18%|█▊        | 53/291 [00:14<00:55,  4.27it/s]
Loading 0:  19%|█▊        | 54/291 [00:14<00:52,  4.50it/s]
Loading 0:  19%|█▉        | 55/291 [00:14<00:46,  5.09it/s]
Loading 0:  20%|█▉        | 57/291 [00:14<00:54,  4.27it/s]
Loading 0:  20%|█▉        | 58/291 [00:15<01:12,  3.22it/s]
Loading 0:  20%|██        | 59/291 [00:16<01:30,  2.56it/s]
Loading 0:  21%|██▏       | 62/291 [00:16<00:52,  4.40it/s]
Loading 0:  22%|██▏       | 63/291 [00:16<00:49,  4.60it/s]
Loading 0:  22%|██▏       | 64/291 [00:16<00:43,  5.20it/s]
Loading 0:  23%|██▎       | 66/291 [00:17<00:51,  4.33it/s]
Loading 0:  23%|██▎       | 67/291 [00:17<01:08,  3.26it/s]
Loading 0:  23%|██▎       | 68/291 [00:18<01:26,  2.57it/s]
Loading 0:  24%|██▍       | 71/291 [00:18<00:49,  4.41it/s]
Loading 0:  25%|██▍       | 72/291 [00:18<00:47,  4.64it/s]
Loading 0:  25%|██▌       | 73/291 [00:18<00:41,  5.24it/s]
Loading 0:  25%|██▌       | 74/291 [00:19<01:01,  3.52it/s]
Loading 0:  26%|██▌       | 75/291 [00:20<01:21,  2.66it/s]
Loading 0:  26%|██▋       | 77/291 [00:20<00:55,  3.86it/s]
Loading 0:  27%|██▋       | 78/291 [00:20<00:51,  4.17it/s]
Loading 0:  27%|██▋       | 79/291 [00:20<00:44,  4.80it/s]
Loading 0:  27%|██▋       | 80/291 [00:20<00:40,  5.16it/s]
Loading 0:  28%|██▊       | 81/291 [00:21<01:03,  3.32it/s]
Loading 0:  28%|██▊       | 82/291 [00:21<01:19,  2.62it/s]
Loading 0:  29%|██▊       | 83/291 [00:22<01:35,  2.19it/s]
Loading 0:  30%|██▉       | 86/291 [00:22<00:49,  4.10it/s]
Loading 0:  30%|██▉       | 87/291 [00:22<00:46,  4.38it/s]
Loading 0:  30%|███       | 88/291 [00:23<00:43,  4.72it/s]
Loading 0:  31%|███       | 90/291 [00:23<00:49,  4.07it/s]
Loading 0:  31%|███▏      | 91/291 [00:24<01:03,  3.13it/s]
Loading 0:  32%|███▏      | 92/291 [00:24<01:18,  2.52it/s]
Loading 0:  33%|███▎      | 95/291 [00:25<00:44,  4.39it/s]
Loading 0:  33%|███▎      | 96/291 [00:25<00:42,  4.63it/s]
Loading 0:  33%|███▎      | 97/291 [00:25<00:37,  5.24it/s]
Loading 0:  34%|███▍      | 99/291 [00:26<00:44,  4.32it/s]
Loading 0:  34%|███▍      | 100/291 [00:26<00:58,  3.25it/s]
Loading 0:  35%|███▍      | 101/291 [00:27<01:13,  2.57it/s]
Loading 0:  36%|███▌      | 104/291 [00:27<00:42,  4.43it/s]
Loading 0:  36%|███▌      | 105/291 [00:27<00:39,  4.66it/s]
Loading 0:  36%|███▋      | 106/291 [00:27<00:35,  5.25it/s]
Loading 0:  37%|███▋      | 108/291 [00:28<00:42,  4.32it/s]
Loading 0:  37%|███▋      | 109/291 [00:28<00:56,  3.25it/s]
Loading 0:  38%|███▊      | 110/291 [00:29<01:10,  2.57it/s]
Loading 0:  39%|███▉      | 113/291 [00:29<00:40,  4.36it/s]
Loading 0:  39%|███▉      | 114/291 [00:29<00:38,  4.60it/s]
Loading 0:  40%|███▉      | 115/291 [00:30<00:34,  5.15it/s]
Loading 0:  40%|███▉      | 116/291 [00:30<00:50,  3.46it/s]
Loading 0:  41%|████      | 118/291 [00:30<00:37,  4.65it/s]
Loading 0:  41%|████      | 119/291 [00:31<00:35,  4.89it/s]
Loading 0:  41%|████      | 120/291 [00:31<00:30,  5.56it/s]
Loading 0:  42%|████▏     | 122/291 [00:31<00:38,  4.40it/s]
Loading 0:  43%|████▎     | 125/291 [00:32<00:35,  4.72it/s]
Loading 0:  43%|████▎     | 126/291 [00:32<00:46,  3.58it/s]
Loading 0:  44%|████▎     | 127/291 [00:33<00:58,  2.80it/s]
Loading 0:  45%|████▍     | 130/291 [00:33<00:35,  4.49it/s]
Loading 0:  45%|████▌     | 131/291 [00:33<00:34,  4.70it/s]
Loading 0:  45%|████▌     | 132/291 [00:34<00:30,  5.25it/s]
Loading 0:  46%|████▌     | 133/291 [00:34<00:28,  5.52it/s]
Loading 0:  46%|████▌     | 134/291 [00:34<00:44,  3.56it/s]
Loading 0:  46%|████▋     | 135/291 [00:35<00:58,  2.66it/s]
Loading 0:  47%|████▋     | 138/291 [00:35<00:43,  3.56it/s]
Loading 0:  48%|████▊     | 139/291 [00:36<00:52,  2.92it/s]
Loading 0:  48%|████▊     | 140/291 [00:37<01:02,  2.43it/s]
Loading 0:  49%|████▉     | 143/291 [00:37<00:36,  4.08it/s]
Loading 0:  49%|████▉     | 144/291 [00:37<00:33,  4.33it/s]
Loading 0:  50%|████▉     | 145/291 [00:37<00:29,  4.89it/s]
Loading 0:  51%|█████     | 147/291 [00:38<00:34,  4.16it/s]
Loading 0:  51%|█████     | 148/291 [00:38<00:45,  3.18it/s]
Loading 0:  51%|█████     | 149/291 [00:39<00:56,  2.53it/s]
Loading 0:  52%|█████▏    | 152/291 [00:39<00:32,  4.29it/s]
Loading 0:  53%|█████▎    | 153/291 [00:39<00:30,  4.53it/s]
Loading 0:  53%|█████▎    | 154/291 [00:40<00:26,  5.10it/s]
Loading 0:  54%|█████▎    | 156/291 [00:40<00:31,  4.25it/s]
Loading 0:  54%|█████▍    | 157/291 [00:41<00:41,  3.22it/s]
Loading 0:  54%|█████▍    | 158/291 [00:41<00:52,  2.56it/s]
Loading 0:  55%|█████▌    | 161/291 [00:42<00:29,  4.34it/s]
Loading 0:  56%|█████▌    | 162/291 [00:42<00:28,  4.58it/s]
Loading 0:  56%|█████▌    | 163/291 [00:42<00:24,  5.13it/s]
Loading 0:  57%|█████▋    | 165/291 [00:42<00:29,  4.28it/s]
Loading 0:  57%|█████▋    | 166/291 [00:43<00:38,  3.23it/s]
Loading 0:  57%|█████▋    | 167/291 [00:44<00:48,  2.55it/s]
Loading 0:  58%|█████▊    | 170/291 [00:44<00:27,  4.32it/s]
Loading 0:  59%|█████▉    | 171/291 [00:44<00:26,  4.56it/s]
Loading 0:  59%|█████▉    | 172/291 [00:44<00:23,  5.12it/s]
Loading 0:  60%|█████▉    | 174/291 [00:45<00:27,  4.26it/s]
Loading 0:  60%|██████    | 175/291 [00:45<00:35,  3.22it/s]
Loading 0:  60%|██████    | 176/291 [00:46<00:45,  2.53it/s]
Loading 0:  62%|██████▏   | 179/291 [00:46<00:26,  4.28it/s]
Loading 0:  62%|██████▏   | 180/291 [00:46<00:24,  4.51it/s]
Loading 0:  62%|██████▏   | 181/291 [00:47<00:21,  5.07it/s]
Loading 0:  63%|██████▎   | 183/291 [00:47<00:17,  6.26it/s]
Loading 0:  63%|██████▎   | 184/291 [00:47<00:17,  6.18it/s]
Loading 0:  64%|██████▎   | 185/291 [00:47<00:15,  6.73it/s]
Loading 0:  64%|██████▍   | 186/291 [00:47<00:16,  6.53it/s]
Loading 0:  64%|██████▍   | 187/291 [00:48<00:27,  3.72it/s]
Loading 0:  65%|██████▍   | 188/291 [00:48<00:36,  2.82it/s]
Loading 0:  65%|██████▍   | 189/291 [00:49<00:44,  2.28it/s]
Loading 0:  66%|██████▌   | 192/291 [00:50<00:30,  3.28it/s]
Loading 0:  66%|██████▋   | 193/291 [00:50<00:35,  2.76it/s]
Loading 0:  67%|██████▋   | 194/291 [00:51<00:41,  2.34it/s]
Loading 0:  68%|██████▊   | 197/291 [00:51<00:23,  3.98it/s]
Loading 0:  68%|██████▊   | 198/291 [00:51<00:21,  4.25it/s]
Loading 0:  68%|██████▊   | 199/291 [00:51<00:19,  4.80it/s]
Loading 0:  69%|██████▉   | 201/291 [00:52<00:21,  4.13it/s]
Loading 0:  69%|██████▉   | 202/291 [00:53<00:27,  3.18it/s]
Loading 0:  70%|██████▉   | 203/291 [00:53<00:34,  2.53it/s]
Loading 0:  71%|███████   | 206/291 [00:53<00:19,  4.30it/s]
Loading 0:  71%|███████   | 207/291 [00:54<00:18,  4.55it/s]
Loading 0:  71%|███████▏  | 208/291 [00:54<00:16,  5.11it/s]
Loading 0:  72%|███████▏  | 210/291 [00:54<00:18,  4.28it/s]
Loading 0:  73%|███████▎  | 211/291 [00:55<00:24,  3.24it/s]
Loading 0:  73%|███████▎  | 212/291 [00:55<00:30,  2.57it/s]
Loading 0:  74%|███████▍  | 215/291 [00:56<00:17,  4.35it/s]
Loading 0:  74%|███████▍  | 216/291 [00:56<00:16,  4.59it/s]
Loading 0:  75%|███████▍  | 217/291 [00:56<00:14,  5.19it/s]
Loading 0:  75%|███████▌  | 219/291 [00:57<00:16,  4.31it/s]
Loading 0:  76%|███████▌  | 220/291 [00:57<00:21,  3.25it/s]
Loading 0:  76%|███████▌  | 221/291 [00:58<00:27,  2.58it/s]
Loading 0:  77%|███████▋  | 224/291 [00:58<00:15,  4.38it/s]
Loading 0:  77%|███████▋  | 225/291 [00:58<00:14,  4.61it/s]
Loading 0:  78%|███████▊  | 226/291 [00:58<00:12,  5.06it/s]
Loading 0:  78%|███████▊  | 227/291 [00:59<00:18,  3.44it/s]
Loading 0:  78%|███████▊  | 228/291 [01:00<00:23,  2.63it/s]
Loading 0:  79%|███████▉  | 230/291 [01:00<00:16,  3.78it/s]
Loading 0:  79%|███████▉  | 231/291 [01:00<00:14,  4.19it/s]
Loading 0:  80%|███████▉  | 232/291 [01:00<00:12,  4.88it/s]
Loading 0:  80%|████████  | 233/291 [01:00<00:11,  5.20it/s]
Loading 0:  80%|████████  | 234/291 [01:01<00:17,  3.34it/s]
Loading 0:  81%|████████▏ | 237/291 [01:01<00:13,  4.13it/s]
Loading 0:  82%|████████▏ | 238/291 [01:02<00:16,  3.21it/s]
Loading 0:  82%|████████▏ | 239/291 [01:03<00:20,  2.59it/s]
Loading 0:  83%|████████▎ | 242/291 [01:03<00:11,  4.33it/s]
Loading 0:  84%|████████▎ | 243/291 [01:03<00:10,  4.57it/s]
Loading 0:  84%|████████▍ | 244/291 [01:03<00:09,  5.13it/s]
Loading 0:  85%|████████▍ | 246/291 [01:04<00:10,  4.29it/s]
Loading 0:  85%|████████▍ | 247/291 [01:04<00:13,  3.25it/s]
Loading 0:  85%|████████▌ | 248/291 [01:05<00:16,  2.57it/s]
Loading 0:  86%|████████▋ | 251/291 [01:05<00:09,  4.36it/s]
Loading 0:  87%|████████▋ | 252/291 [01:05<00:08,  4.59it/s]
Loading 0:  87%|████████▋ | 253/291 [01:05<00:07,  5.16it/s]
Loading 0:  88%|████████▊ | 255/291 [01:06<00:08,  4.30it/s]
Loading 0:  88%|████████▊ | 256/291 [01:07<00:10,  3.26it/s]
Loading 0:  88%|████████▊ | 257/291 [01:07<00:13,  2.59it/s]
Loading 0:  89%|████████▉ | 260/291 [01:07<00:07,  4.40it/s]
Loading 0:  90%|████████▉ | 261/291 [01:08<00:06,  4.62it/s]
Loading 0:  90%|█████████ | 262/291 [01:08<00:05,  5.12it/s]
Loading 0:  91%|█████████ | 264/291 [01:08<00:06,  4.28it/s]
Loading 0:  91%|█████████ | 265/291 [01:09<00:08,  3.24it/s]
Loading 0:  91%|█████████▏| 266/291 [01:09<00:09,  2.57it/s]
Loading 0:  92%|█████████▏| 269/291 [01:10<00:05,  4.37it/s]
Loading 0:  93%|█████████▎| 270/291 [01:10<00:04,  4.61it/s]
Loading 0:  93%|█████████▎| 271/291 [01:10<00:03,  5.20it/s]
Loading 0:  94%|█████████▍| 273/291 [01:11<00:04,  4.32it/s]
Loading 0:  94%|█████████▍| 274/291 [01:11<00:05,  3.26it/s]
Loading 0:  95%|█████████▍| 275/291 [01:12<00:06,  2.58it/s]
Loading 0:  96%|█████████▌| 278/291 [01:12<00:02,  4.44it/s]
Loading 0:  96%|█████████▌| 279/291 [01:12<00:02,  4.67it/s]
Loading 0:  96%|█████████▌| 280/291 [01:12<00:02,  5.24it/s]
Loading 0:  97%|█████████▋| 281/291 [01:13<00:02,  3.52it/s]
Loading 0:  97%|█████████▋| 283/291 [01:13<00:01,  4.72it/s]
Loading 0:  98%|█████████▊| 284/291 [01:13<00:01,  4.95it/s]
Loading 0:  98%|█████████▊| 285/291 [01:13<00:01,  5.57it/s]
Loading 0:  98%|█████████▊| 286/291 [01:13<00:00,  5.72it/s]
Loading 0:  99%|█████████▊| 287/291 [01:14<00:01,  3.50it/s]
Loading 0:  99%|█████████▉| 288/291 [01:15<00:01,  2.59it/s]
                                                            
Job chaiml-llama-8b-multihe-54063-v8-mkmlizer completed after 165.04s with status: succeeded
Stopping job with name chaiml-llama-8b-multihe-54063-v8-mkmlizer
Pipeline stage MKMLizer completed in 165.53s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-llama-8b-multihe-54063-v8
Waiting for inference service chaiml-llama-8b-multihe-54063-v8 to be ready
Inference service chaiml-llama-8b-multihe-54063-v8 ready after 90.32202506065369s
Pipeline stage MKMLDeployer completed in 90.78s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.5068681240081787s
Received healthy response to inference request in 2.5420725345611572s
Received healthy response to inference request in 2.9273688793182373s
Received healthy response to inference request in 1.855902910232544s
5 requests
1 failed requests
5th percentile: 1.986095952987671
10th percentile: 2.116288995742798
20th percentile: 2.376675081253052
30th percentile: 2.5139090061187743
40th percentile: 2.527990770339966
50th percentile: 2.5420725345611572
60th percentile: 2.6961910724639893
70th percentile: 2.8503096103668213
80th percentile: 6.410772752761844
90th percentile: 13.37758049964905
95th percentile: 16.86098437309265
99th percentile: 19.647707471847532
mean time: 6.035320138931274
%s, retrying in %s seconds...
Received healthy response to inference request in 2.2545952796936035s
Received healthy response to inference request in 2.6464438438415527s
Received healthy response to inference request in 3.3314576148986816s
Received healthy response to inference request in 2.8590190410614014s
Received healthy response to inference request in 4.951151609420776s
5 requests
0 failed requests
5th percentile: 2.3329649925231934
10th percentile: 2.4113347053527834
20th percentile: 2.568074131011963
30th percentile: 2.6889588832855225
40th percentile: 2.773988962173462
50th percentile: 2.8590190410614014
60th percentile: 3.0479944705963136
70th percentile: 3.2369699001312253
80th percentile: 3.6553964138031008
90th percentile: 4.303274011611938
95th percentile: 4.627212810516357
99th percentile: 4.886363849639893
mean time: 3.2085334777832033
Pipeline stage StressChecker completed in 49.07s
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 0.82s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.73s
Shutdown handler de-registered
chaiml-llama-8b-multihe_54063_v8 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-llama-8b-multihe-54063-v8-profiler
Waiting for inference service chaiml-llama-8b-multihe-54063-v8-profiler to be ready
Inference service chaiml-llama-8b-multihe-54063-v8-profiler ready after 90.36838912963867s
Pipeline stage MKMLProfilerDeployer completed in 90.82s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-llama-8b-mult345d62a5043e600333019013bf21d4b3-deplotlpr2:/code/chaiverse_profiler_1741566919 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-llama-8b-mult345d62a5043e600333019013bf21d4b3-deplotlpr2 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1741566919 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1741566919/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-llama-8b-multihe-54063-v8-profiler is running
Tearing down inference service chaiml-llama-8b-multihe-54063-v8-profiler
Service chaiml-llama-8b-multihe-54063-v8-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.10s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-llama-8b-multihe-54063-v8-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-llama-8b-multihe-54063-v8-profiler
Waiting for inference service chaiml-llama-8b-multihe-54063-v8-profiler to be ready
Inference service chaiml-llama-8b-multihe-54063-v8-profiler ready after 90.34862875938416s
Pipeline stage MKMLProfilerDeployer completed in 90.66s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-llama-8b-mult345d62a5043e600333019013bf21d4b3-deplog5f82:/code/chaiverse_profiler_1741570533 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-llama-8b-mult345d62a5043e600333019013bf21d4b3-deplog5f82 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1741570533 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1741570533/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-llama-8b-multihe-54063-v8-profiler is running
Tearing down inference service chaiml-llama-8b-multihe-54063-v8-profiler
Service chaiml-llama-8b-multihe-54063-v8-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.38s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-llama-8b-multihe-54063-v8-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.22s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-llama-8b-multihe-54063-v8-profiler
Waiting for inference service chaiml-llama-8b-multihe-54063-v8-profiler to be ready
Inference service chaiml-llama-8b-multihe-54063-v8-profiler ready after 90.3696219921112s
Pipeline stage MKMLProfilerDeployer completed in 90.72s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-llama-8b-mult345d62a5043e600333019013bf21d4b3-deplodz929:/code/chaiverse_profiler_1741574172 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-llama-8b-mult345d62a5043e600333019013bf21d4b3-deplodz929 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1741574172 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1741574172/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-llama-8b-multihe-54063-v8-profiler is running
Tearing down inference service chaiml-llama-8b-multihe-54063-v8-profiler
Service chaiml-llama-8b-multihe-54063-v8-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.32s
Shutdown handler de-registered
chaiml-llama-8b-multihe_54063_v8 status is now inactive due to auto deactivation removed underperforming models
chaiml-llama-8b-multihe_54063_v8 status is now torndown due to DeploymentManager action