junhua024-chai-19nn8

developer_uid: junhua024
submission_id: junhua024-chai-19nn8_v1
model_name: junhua024-chai-19nn8_v1
model_group: junhua024/chai_19nn8
status: torndown
timestamp: 2025-07-28T20:59:28+00:00
num_battles: 6033
num_wins: 3132
celo_rating: 1280.27
family_friendly_score: 0.5236000000000001
family_friendly_standard_error: 0.007063186816161669
submission_type: basic
model_repo: junhua024/chai_19nn8
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
display_name: junhua024-chai-19nn8_v1
is_internal_developer: False
language_model: junhua024/chai_19nn8
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5191447041272998
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
Resubmit model
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 junhua024-chai-19nn8-v1-mkmlizer
Waiting for job on junhua024-chai-19nn8-v1-mkmlizer to finish
junhua024-chai-19nn8-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-19nn8-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn8-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-19nn8-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-19nn8-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-19nn8-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-19nn8-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-19nn8-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-19nn8-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-19nn8-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-19nn8-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn8-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19nn8-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19nn8-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19nn8-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19nn8-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn8-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19nn8-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19nn8-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn8-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19nn8-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19nn8-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19nn8-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn8-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-19nn8-v1-mkmlizer: Downloaded to shared memory in 139.636s
junhua024-chai-19nn8-v1-mkmlizer: Checking if junhua024/chai_19nn8 already exists in ChaiML
junhua024-chai-19nn8-v1-mkmlizer: Creating repo ChaiML/chai_19nn8 and uploading /tmp/tmpbh7qlb4r to it
junhua024-chai-19nn8-v1-mkmlizer: 
  0%|          | 0/26 [00:00<?, ?it/s]
  4%|▍         | 1/26 [00:03<01:27,  3.51s/it]
  8%|▊         | 2/26 [00:06<01:20,  3.34s/it]
 12%|█▏        | 3/26 [00:09<01:14,  3.23s/it]
 15%|█▌        | 4/26 [00:13<01:15,  3.42s/it]
 19%|█▉        | 5/26 [00:15<01:02,  2.97s/it]
 23%|██▎       | 6/26 [00:17<00:50,  2.52s/it]
 27%|██▋       | 7/26 [00:18<00:41,  2.17s/it]
 31%|███       | 8/26 [00:20<00:36,  2.02s/it]
 35%|███▍      | 9/26 [00:22<00:33,  1.97s/it]
 38%|███▊      | 10/26 [00:23<00:29,  1.83s/it]
 42%|████▏     | 11/26 [00:25<00:25,  1.73s/it]
 46%|████▌     | 12/26 [00:26<00:22,  1.60s/it]
 50%|█████     | 13/26 [00:28<00:21,  1.66s/it]
 54%|█████▍    | 14/26 [00:30<00:19,  1.62s/it]
 58%|█████▊    | 15/26 [00:31<00:17,  1.55s/it]
 62%|██████▏   | 16/26 [00:32<00:14,  1.48s/it]
 65%|██████▌   | 17/26 [00:35<00:15,  1.74s/it]
 69%|██████▉   | 18/26 [00:36<00:13,  1.70s/it]
 73%|███████▎  | 19/26 [00:38<00:11,  1.67s/it]
 77%|███████▋  | 20/26 [00:40<00:11,  1.91s/it]
 81%|████████  | 21/26 [00:42<00:08,  1.74s/it]
 85%|████████▍ | 22/26 [00:43<00:07,  1.77s/it]
 88%|████████▊ | 23/26 [00:45<00:05,  1.71s/it]
 92%|█████████▏| 24/26 [00:47<00:03,  1.66s/it]
 96%|█████████▌| 25/26 [00:48<00:01,  1.56s/it]
100%|██████████| 26/26 [00:49<00:00,  1.40s/it]
100%|██████████| 26/26 [00:49<00:00,  1.90s/it]
junhua024-chai-19nn8-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpbh7qlb4r, device:0
junhua024-chai-19nn8-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission junhua024-chai-12-full-20-2_v1: HTTPConnectionPool(host='junhua024-chai-12-full-20-2-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-12-full-20_v5: HTTPConnectionPool(host='junhua024-chai-12-full-20-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-19nn8-v1-mkmlizer: quantized model in 161.259s
junhua024-chai-19nn8-v1-mkmlizer: Processed model junhua024/chai_19nn8 in 384.520s
junhua024-chai-19nn8-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19nn8-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19nn8-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19nn8-v1/nvidia
junhua024-chai-19nn8-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19nn8-v1/nvidia/config.json
junhua024-chai-19nn8-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19nn8-v1/nvidia/special_tokens_map.json
junhua024-chai-19nn8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19nn8-v1/nvidia/tokenizer_config.json
junhua024-chai-19nn8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19nn8-v1/nvidia/tokenizer.json
junhua024-chai-19nn8-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19nn8-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-19nn8-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:21, 17.00it/s]
Loading 0:   1%|          | 4/363 [00:02<03:29,  1.71it/s]
Loading 0:   1%|▏         | 5/363 [00:03<04:19,  1.38it/s]
Loading 0:   2%|▏         | 8/363 [00:03<02:17,  2.58it/s]
Loading 0:   2%|▏         | 9/363 [00:03<02:11,  2.69it/s]
Loading 0:   3%|▎         | 10/363 [00:03<01:52,  3.13it/s]
Loading 0:   3%|▎         | 11/363 [00:04<02:46,  2.12it/s]
Loading 0:   3%|▎         | 12/363 [00:05<03:35,  1.63it/s]
Loading 0:   4%|▍         | 14/363 [00:06<02:27,  2.37it/s]
Loading 0:   4%|▍         | 15/363 [00:06<02:14,  2.58it/s]
Loading 0:   4%|▍         | 16/363 [00:06<01:53,  3.05it/s]
Loading 0:   5%|▍         | 18/363 [00:07<02:20,  2.46it/s]
Loading 0:   6%|▌         | 21/363 [00:08<02:04,  2.74it/s]
Loading 0:   6%|▌         | 22/363 [00:09<02:41,  2.12it/s]
Loading 0:   6%|▋         | 23/363 [00:10<03:20,  1.70it/s]
Loading 0:   7%|▋         | 26/363 [00:10<02:02,  2.75it/s]
Loading 0:   7%|▋         | 27/363 [00:11<01:56,  2.88it/s]
Loading 0:   8%|▊         | 28/363 [00:11<01:41,  3.31it/s]
Loading 0:   8%|▊         | 29/363 [00:12<02:29,  2.23it/s]
Loading 0:   9%|▊         | 31/363 [00:12<01:51,  2.97it/s]
Loading 0:   9%|▉         | 32/363 [00:12<01:46,  3.10it/s]
Loading 0:   9%|▉         | 33/363 [00:12<01:31,  3.59it/s]
Loading 0:  10%|▉         | 35/363 [00:14<02:03,  2.65it/s]
Loading 0:  10%|▉         | 36/363 [00:15<02:50,  1.92it/s]
Loading 0:  11%|█         | 39/363 [00:16<02:16,  2.38it/s]
Loading 0:  11%|█         | 40/363 [00:16<02:47,  1.93it/s]
Loading 0:  11%|█▏        | 41/363 [00:17<03:21,  1.60it/s]
Loading 0:  12%|█▏        | 44/363 [00:18<01:59,  2.66it/s]
Loading 0:  12%|█▏        | 45/363 [00:18<01:53,  2.81it/s]
Loading 0:  13%|█▎        | 46/363 [00:18<01:38,  3.23it/s]
Loading 0:  13%|█▎        | 48/363 [00:19<01:20,  3.90it/s]
Loading 0:  13%|█▎        | 49/363 [00:19<01:20,  3.92it/s]
Loading 0:  14%|█▍        | 50/363 [00:19<01:11,  4.40it/s]
Loading 0:  14%|█▍        | 52/363 [00:20<01:45,  2.95it/s]
Loading 0:  15%|█▍        | 53/363 [00:21<02:26,  2.11it/s]
Loading 0:  15%|█▍        | 54/363 [00:22<03:07,  1.65it/s]
Loading 0:  16%|█▌        | 57/363 [00:23<02:21,  2.17it/s]
Loading 0:  16%|█▌        | 58/363 [00:24<02:49,  1.80it/s]
Loading 0:  16%|█▋        | 59/363 [00:25<03:20,  1.52it/s]
Loading 0:  17%|█▋        | 62/363 [00:25<01:58,  2.53it/s]
Loading 0:  17%|█▋        | 63/363 [00:25<01:51,  2.69it/s]
Loading 0:  18%|█▊        | 64/363 [00:26<01:36,  3.11it/s]
Loading 0:  18%|█▊        | 66/363 [00:27<01:56,  2.56it/s]
Loading 0:  18%|█▊        | 67/363 [00:28<02:30,  1.97it/s]
Loading 0:  19%|█▊        | 68/363 [00:29<03:04,  1.60it/s]
Loading 0:  20%|█▉        | 71/363 [00:29<01:48,  2.70it/s]
Loading 0:  20%|█▉        | 72/363 [00:29<01:42,  2.84it/s]
Loading 0:  20%|██        | 73/363 [00:29<01:28,  3.27it/s]
Loading 0:  20%|██        | 74/363 [00:30<02:11,  2.19it/s]
Loading 0:  21%|██        | 75/363 [00:31<02:52,  1.67it/s]
Loading 0:  21%|██        | 77/363 [00:32<01:59,  2.39it/s]
Loading 0:  21%|██▏       | 78/363 [00:32<01:49,  2.60it/s]
Loading 0:  22%|██▏       | 79/363 [00:32<01:32,  3.08it/s]
Loading 0:  22%|██▏       | 80/363 [00:33<02:23,  1.98it/s]
Loading 0:  23%|██▎       | 82/363 [00:33<01:41,  2.76it/s]
Loading 0:  23%|██▎       | 83/363 [00:34<01:35,  2.93it/s]
Loading 0:  23%|██▎       | 84/363 [00:34<01:21,  3.43it/s]
Loading 0:  24%|██▎       | 86/363 [00:35<01:42,  2.71it/s]
Loading 0:  25%|██▍       | 89/363 [00:36<01:34,  2.89it/s]
Loading 0:  25%|██▍       | 90/363 [00:37<02:04,  2.19it/s]
Loading 0:  25%|██▌       | 91/363 [00:38<02:35,  1.75it/s]
Loading 0:  26%|██▌       | 94/363 [00:38<01:35,  2.81it/s]
Loading 0:  26%|██▌       | 95/363 [00:38<01:31,  2.94it/s]
Loading 0:  26%|██▋       | 96/363 [00:38<01:19,  3.36it/s]
Loading 0:  27%|██▋       | 98/363 [00:39<01:40,  2.65it/s]
Loading 0:  27%|██▋       | 99/363 [00:40<02:15,  1.94it/s]
Loading 0:  28%|██▊       | 102/363 [00:41<01:50,  2.37it/s]
Loading 0:  28%|██▊       | 103/363 [00:42<02:14,  1.93it/s]
Loading 0:  29%|██▊       | 104/363 [00:43<02:40,  1.61it/s]
Loading 0:  29%|██▉       | 107/363 [00:44<01:37,  2.62it/s]
Loading 0:  30%|██▉       | 108/363 [00:44<01:32,  2.76it/s]
Loading 0:  30%|███       | 109/363 [00:44<01:19,  3.18it/s]
Loading 0:  31%|███       | 111/363 [00:44<01:05,  3.86it/s]
Loading 0:  31%|███       | 112/363 [00:45<01:05,  3.81it/s]
Loading 0:  31%|███       | 113/363 [00:45<00:58,  4.30it/s]
Loading 0:  32%|███▏      | 115/363 [00:46<01:25,  2.91it/s]
Loading 0:  32%|███▏      | 116/363 [00:47<01:57,  2.10it/s]
Loading 0:  32%|███▏      | 117/363 [00:48<02:29,  1.65it/s]
Loading 0:  33%|███▎      | 120/363 [00:49<01:51,  2.18it/s]
Loading 0:  33%|███▎      | 121/363 [00:50<02:13,  1.81it/s]
Loading 0:  34%|███▎      | 122/363 [00:51<02:37,  1.53it/s]
Loading 0:  34%|███▍      | 125/363 [00:51<01:33,  2.55it/s]
Loading 0:  35%|███▍      | 126/363 [00:51<01:27,  2.70it/s]
Loading 0:  35%|███▍      | 127/363 [00:51<01:15,  3.11it/s]
Loading 0:  36%|███▌      | 129/363 [00:53<01:32,  2.54it/s]
Loading 0:  36%|███▌      | 130/363 [00:53<01:59,  1.95it/s]
Loading 0:  36%|███▌      | 131/363 [00:55<02:27,  1.57it/s]
Loading 0:  37%|███▋      | 134/363 [00:55<01:25,  2.66it/s]
Loading 0:  37%|███▋      | 135/363 [00:55<01:21,  2.81it/s]
Loading 0:  37%|███▋      | 136/363 [00:55<01:09,  3.24it/s]
Loading 0:  38%|███▊      | 137/363 [00:56<01:43,  2.18it/s]
Loading 0:  38%|███▊      | 138/363 [00:57<02:14,  1.67it/s]
Loading 0:  39%|███▊      | 140/363 [00:58<01:33,  2.39it/s]
Loading 0:  39%|███▉      | 141/363 [00:58<01:25,  2.60it/s]
Loading 0:  39%|███▉      | 142/363 [00:58<01:11,  3.10it/s]
Loading 0:  40%|███▉      | 144/363 [00:59<01:27,  2.49it/s]
Loading 0:  40%|████      | 147/363 [01:00<01:17,  2.77it/s]
Loading 0:  41%|████      | 148/363 [01:01<01:40,  2.13it/s]
Loading 0:  41%|████      | 149/363 [01:02<02:05,  1.70it/s]
Loading 0:  42%|████▏     | 152/363 [01:02<01:16,  2.74it/s]
Loading 0:  42%|████▏     | 153/363 [01:03<01:13,  2.87it/s]
Loading 0:  42%|████▏     | 154/363 [01:03<01:03,  3.27it/s]
Loading 0:  43%|████▎     | 155/363 [01:04<01:34,  2.21it/s]
Loading 0:  43%|████▎     | 157/363 [01:04<01:10,  2.94it/s]
Loading 0:  44%|████▎     | 158/363 [01:04<01:06,  3.08it/s]
Loading 0:  44%|████▍     | 159/363 [01:04<00:56,  3.59it/s]
Loading 0:  44%|████▍     | 161/363 [01:05<01:15,  2.67it/s]
Loading 0:  45%|████▍     | 162/363 [01:06<01:44,  1.93it/s]
Loading 0:  45%|████▌     | 165/363 [01:07<01:23,  2.38it/s]
Loading 0:  46%|████▌     | 166/363 [01:08<01:42,  1.92it/s]
Loading 0:  46%|████▌     | 167/363 [01:09<02:03,  1.59it/s]
Loading 0:  47%|████▋     | 170/363 [01:10<01:13,  2.62it/s]
Loading 0:  47%|████▋     | 171/363 [01:10<01:09,  2.77it/s]
Loading 0:  47%|████▋     | 172/363 [01:10<01:00,  3.18it/s]
Loading 0:  48%|████▊     | 174/363 [01:10<00:49,  3.84it/s]
Loading 0:  48%|████▊     | 175/363 [01:11<00:49,  3.81it/s]
Loading 0:  48%|████▊     | 176/363 [01:11<00:43,  4.29it/s]
Loading 0:  49%|████▉     | 178/363 [01:12<01:03,  2.91it/s]
Loading 0:  49%|████▉     | 179/363 [01:13<01:27,  2.10it/s]
Loading 0:  50%|████▉     | 180/363 [01:14<01:50,  1.65it/s]
Loading 0:  50%|█████     | 183/363 [01:15<01:22,  2.19it/s]
Loading 0:  51%|█████     | 184/363 [01:16<01:38,  1.81it/s]
Loading 0:  51%|█████     | 185/363 [01:17<01:56,  1.53it/s]
Loading 0:  52%|█████▏    | 188/363 [01:17<01:08,  2.55it/s]
Loading 0:  52%|█████▏    | 189/363 [01:17<01:04,  2.70it/s]
Loading 0:  52%|█████▏    | 190/363 [01:17<00:55,  3.12it/s]
Loading 0:  53%|█████▎    | 192/363 [01:18<01:06,  2.57it/s]
Loading 0:  53%|█████▎    | 193/363 [01:19<01:26,  1.98it/s]
Loading 0:  53%|█████▎    | 194/363 [01:20<01:45,  1.60it/s]
Loading 0:  54%|█████▍    | 197/363 [01:21<01:01,  2.72it/s]
Loading 0:  55%|█████▍    | 198/363 [01:21<00:57,  2.86it/s]
Loading 0:  55%|█████▍    | 199/363 [01:21<00:49,  3.31it/s]
Loading 0:  55%|█████▌    | 200/363 [01:22<01:13,  2.21it/s]
Loading 0:  55%|█████▌    | 201/363 [01:23<01:36,  1.68it/s]
Loading 0:  56%|█████▌    | 203/363 [01:23<01:06,  2.41it/s]
Loading 0:  56%|█████▌    | 204/363 [01:24<01:00,  2.61it/s]
Loading 0:  56%|█████▋    | 205/363 [01:24<00:50,  3.12it/s]
Loading 0:  57%|█████▋    | 207/363 [01:25<01:02,  2.51it/s]
Loading 0:  58%|█████▊    | 210/363 [01:26<00:54,  2.78it/s]
Loading 0:  58%|█████▊    | 211/363 [01:27<01:11,  2.14it/s]
Loading 0:  58%|█████▊    | 212/363 [01:28<01:28,  1.71it/s]
Loading 0:  59%|█████▉    | 215/363 [01:28<00:53,  2.76it/s]
Loading 0:  60%|█████▉    | 216/363 [01:28<00:50,  2.90it/s]
Loading 0:  60%|█████▉    | 217/363 [01:29<00:44,  3.30it/s]
Loading 0:  60%|██████    | 218/363 [01:30<01:04,  2.23it/s]
Loading 0:  61%|██████    | 220/363 [01:30<00:48,  2.97it/s]
Loading 0:  61%|██████    | 221/363 [01:30<00:45,  3.10it/s]
Loading 0:  61%|██████    | 222/363 [01:30<00:39,  3.61it/s]
Loading 0:  62%|██████▏   | 224/363 [01:31<00:51,  2.69it/s]
Loading 0:  62%|██████▏   | 225/363 [01:32<01:11,  1.94it/s]
Loading 0:  63%|██████▎   | 228/363 [01:33<00:56,  2.39it/s]
Loading 0:  63%|██████▎   | 229/363 [01:34<01:09,  1.93it/s]
Loading 0:  63%|██████▎   | 230/363 [01:35<01:23,  1.60it/s]
Loading 0:  64%|██████▍   | 233/363 [01:36<00:49,  2.63it/s]
Loading 0:  64%|██████▍   | 234/363 [01:36<00:46,  2.78it/s]
Loading 0:  65%|██████▍   | 235/363 [01:36<00:40,  3.20it/s]
Loading 0:  65%|██████▌   | 237/363 [01:36<00:32,  3.83it/s]
Loading 0:  66%|██████▌   | 238/363 [01:37<00:33,  3.78it/s]
Loading 0:  66%|██████▌   | 239/363 [01:37<00:29,  4.26it/s]
Loading 0:  66%|██████▋   | 241/363 [01:38<00:42,  2.90it/s]
Loading 0:  67%|██████▋   | 242/363 [01:39<00:57,  2.10it/s]
Loading 0:  67%|██████▋   | 243/363 [01:40<01:13,  1.64it/s]
Loading 0:  68%|██████▊   | 246/363 [01:41<00:53,  2.17it/s]
Loading 0:  68%|██████▊   | 247/363 [01:42<01:04,  1.81it/s]
Loading 0:  68%|██████▊   | 248/363 [01:43<01:15,  1.53it/s]
Loading 0:  69%|██████▉   | 251/363 [01:43<00:43,  2.55it/s]
Loading 0:  69%|██████▉   | 252/363 [01:43<00:41,  2.71it/s]
Loading 0:  70%|██████▉   | 253/363 [01:43<00:35,  3.13it/s]
Loading 0:  70%|███████   | 255/363 [01:44<00:42,  2.57it/s]
Loading 0:  71%|███████   | 256/363 [01:45<00:54,  1.97it/s]
Loading 0:  71%|███████   | 257/363 [01:46<01:06,  1.60it/s]
Loading 0:  72%|███████▏  | 260/363 [01:47<00:38,  2.71it/s]
Loading 0:  72%|███████▏  | 261/363 [01:47<00:35,  2.84it/s]
Loading 0:  72%|███████▏  | 262/363 [01:47<00:30,  3.27it/s]
Loading 0:  72%|███████▏  | 263/363 [01:48<00:45,  2.18it/s]
Loading 0:  73%|███████▎  | 264/363 [01:49<00:59,  1.67it/s]
Loading 0:  73%|███████▎  | 266/363 [01:49<00:40,  2.39it/s]
Loading 0:  74%|███████▎  | 267/363 [01:50<00:36,  2.60it/s]
Loading 0:  74%|███████▍  | 268/363 [01:50<00:30,  3.10it/s]
Loading 0:  74%|███████▍  | 270/363 [01:51<00:37,  2.51it/s]
Loading 0:  75%|███████▌  | 273/363 [01:52<00:32,  2.79it/s]
Loading 0:  75%|███████▌  | 274/363 [01:53<00:41,  2.15it/s]
Loading 0:  76%|███████▌  | 275/363 [01:54<00:51,  1.72it/s]
Loading 0:  77%|███████▋  | 278/363 [01:54<00:30,  2.77it/s]
Loading 0:  77%|███████▋  | 279/363 [01:54<00:28,  2.90it/s]
Loading 0:  77%|███████▋  | 280/363 [01:54<00:24,  3.32it/s]
Loading 0:  77%|███████▋  | 281/363 [01:55<00:36,  2.24it/s]
Loading 0:  78%|███████▊  | 283/363 [01:56<00:26,  2.97it/s]
Loading 0:  78%|███████▊  | 284/363 [01:56<00:25,  3.09it/s]
Loading 0:  79%|███████▊  | 285/363 [01:56<00:21,  3.60it/s]
Loading 0:  79%|███████▉  | 287/363 [01:57<00:28,  2.69it/s]
Loading 0:  79%|███████▉  | 288/363 [01:58<00:38,  1.93it/s]
Loading 0:  80%|████████  | 291/363 [01:59<00:30,  2.37it/s]
Loading 0:  80%|████████  | 292/363 [02:00<00:37,  1.92it/s]
Loading 0:  81%|████████  | 293/363 [02:01<00:44,  1.59it/s]
Loading 0:  82%|████████▏ | 296/363 [02:01<00:25,  2.61it/s]
Loading 0:  82%|████████▏ | 297/363 [02:02<00:23,  2.76it/s]
Loading 0:  82%|████████▏ | 298/363 [02:02<00:20,  3.17it/s]
Loading 0:  83%|████████▎ | 300/363 [02:02<00:16,  3.84it/s]
Loading 0:  83%|████████▎ | 301/363 [02:02<00:16,  3.81it/s]
Loading 0:  83%|████████▎ | 302/363 [02:03<00:14,  4.31it/s]
Loading 0:  84%|████████▎ | 304/363 [02:04<00:20,  2.91it/s]
Loading 0:  84%|████████▍ | 305/363 [02:05<00:27,  2.10it/s]
Loading 0:  84%|████████▍ | 306/363 [02:06<00:34,  1.65it/s]
Loading 0:  85%|████████▌ | 309/363 [02:07<00:24,  2.19it/s]
Loading 0:  85%|████████▌ | 310/363 [02:07<00:29,  1.81it/s]
Loading 0:  86%|████████▌ | 311/363 [02:08<00:33,  1.53it/s]
Loading 0:  87%|████████▋ | 314/363 [02:09<00:19,  2.55it/s]
Loading 0:  87%|████████▋ | 315/363 [02:09<00:17,  2.70it/s]
Loading 0:  87%|████████▋ | 316/363 [02:09<00:15,  3.11it/s]
Loading 0:  88%|████████▊ | 318/363 [02:10<00:17,  2.54it/s]
Loading 0:  88%|████████▊ | 319/363 [02:11<00:22,  1.96it/s]
Loading 0:  88%|████████▊ | 320/363 [02:12<00:26,  1.60it/s]
Loading 0:  89%|████████▉ | 323/363 [02:13<00:14,  2.70it/s]
Loading 0:  89%|████████▉ | 324/363 [02:13<00:13,  2.84it/s]
Loading 0:  90%|████████▉ | 325/363 [02:13<00:11,  3.27it/s]
Loading 0:  90%|████████▉ | 326/363 [02:14<00:16,  2.19it/s]
Loading 0:  90%|█████████ | 327/363 [02:15<00:21,  1.68it/s]
Loading 0:  91%|█████████ | 329/363 [02:15<00:14,  2.39it/s]
Loading 0:  91%|█████████ | 330/363 [02:16<00:12,  2.60it/s]
Loading 0:  91%|█████████ | 331/363 [02:16<00:10,  3.07it/s]
Loading 0:  92%|█████████▏| 333/363 [02:17<00:11,  2.50it/s]
Loading 0:  93%|█████████▎| 336/363 [02:18<00:09,  2.77it/s]
Loading 0:  93%|█████████▎| 337/363 [02:19<00:12,  2.14it/s]
Loading 0:  93%|█████████▎| 338/363 [02:20<00:14,  1.71it/s]
Loading 0:  94%|█████████▍| 341/363 [02:20<00:07,  2.75it/s]
Loading 0:  94%|█████████▍| 342/363 [02:20<00:07,  2.88it/s]
Loading 0:  94%|█████████▍| 343/363 [02:20<00:06,  3.28it/s]
Loading 0:  95%|█████████▍| 344/363 [02:21<00:08,  2.22it/s]
Loading 0:  95%|█████████▌| 346/363 [02:22<00:05,  2.94it/s]
Loading 0:  96%|█████████▌| 347/363 [02:22<00:05,  3.07it/s]
Loading 0:  96%|█████████▌| 348/363 [02:22<00:04,  3.56it/s]
Loading 0:  96%|█████████▌| 349/363 [02:22<00:03,  3.63it/s]
Loading 0:  96%|█████████▋| 350/363 [02:22<00:02,  4.37it/s]
Loading 0:  97%|█████████▋| 351/363 [02:23<00:05,  2.33it/s]
Loading 0:  97%|█████████▋| 352/363 [02:24<00:06,  1.68it/s]
Loading 0:  98%|█████████▊| 355/363 [02:25<00:03,  2.23it/s]
Loading 0:  98%|█████████▊| 356/363 [02:26<00:03,  1.80it/s]
Loading 0:  98%|█████████▊| 357/363 [02:27<00:03,  1.51it/s]
Loading 0:  99%|█████████▉| 360/363 [02:28<00:01,  2.57it/s]
Loading 0:  99%|█████████▉| 361/363 [02:28<00:00,  2.73it/s]
Loading 0: 100%|█████████▉| 362/363 [02:28<00:00,  3.14it/s]
                                                            
Job junhua024-chai-19nn8-v1-mkmlizer completed after 412.81s with status: succeeded
Stopping job with name junhua024-chai-19nn8-v1-mkmlizer
Pipeline stage MKMLizer completed in 413.40s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-19nn8-v1
Waiting for inference service junhua024-chai-19nn8-v1 to be ready
Failed to get response for submission chaiml-gy-exp241-sft-gy-_3670_v1: HTTPConnectionPool(host='chaiml-gy-exp241-sft-gy-3670-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-19cl-full-0022_v7: HTTPConnectionPool(host='junhua024-chai-19cl-full-0022-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-19nn8-v1 ready after 231.069682598114s
Pipeline stage MKMLDeployer completed in 231.91s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1949775218963623s
Received healthy response to inference request in 1.4932255744934082s
Received healthy response to inference request in 3.729447603225708s
Received healthy response to inference request in 1.2374231815338135s
Received healthy response to inference request in 4.551245450973511s
5 requests
0 failed requests
5th percentile: 1.2885836601257323
10th percentile: 1.3397441387176514
20th percentile: 1.4420650959014893
30th percentile: 1.633575963973999
40th percentile: 1.9142767429351808
50th percentile: 2.1949775218963623
60th percentile: 2.8087655544281005
70th percentile: 3.4225535869598387
80th percentile: 3.8938071727752686
90th percentile: 4.22252631187439
95th percentile: 4.38688588142395
99th percentile: 4.5183735370635985
mean time: 2.6412638664245605
Pipeline stage StressChecker completed in 14.94s
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 0.73s
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 0.74s
Shutdown handler de-registered
junhua024-chai-19nn8_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3666.62s
Shutdown handler de-registered
junhua024-chai-19nn8_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19nn8_v1 status is now torndown due to DeploymentManager action