junhua024-chai-19nn4

developer_uid: junhua024
submission_id: junhua024-chai-19nn4_v1
model_name: junhua024-chai-19nn4_v1
model_group: junhua024/chai_19nn4
status: torndown
timestamp: 2025-07-28T18:35:30+00:00
num_battles: 6271
num_wins: 3272
celo_rating: 1287.28
family_friendly_score: 0.5096
family_friendly_standard_error: 0.007069764352508505
submission_type: basic
model_repo: junhua024/chai_19nn4
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-19nn4_v1
is_internal_developer: False
language_model: junhua024/chai_19nn4
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5217668633391803
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-19nn4-v1-mkmlizer
Waiting for job on junhua024-chai-19nn4-v1-mkmlizer to finish
junhua024-chai-19nn4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-19nn4-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn4-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-19nn4-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-19nn4-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-19nn4-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-19nn4-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-19nn4-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-19nn4-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-19nn4-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-19nn4-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn4-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19nn4-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19nn4-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19nn4-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19nn4-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn4-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19nn4-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19nn4-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn4-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19nn4-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19nn4-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19nn4-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-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-19nn4-v1-mkmlizer: Downloaded to shared memory in 141.224s
junhua024-chai-19nn4-v1-mkmlizer: Checking if junhua024/chai_19nn4 already exists in ChaiML
junhua024-chai-19nn4-v1-mkmlizer: Creating repo ChaiML/chai_19nn4 and uploading /tmp/tmpb4m9vq5z to it
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)
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)
junhua024-chai-19nn4-v1-mkmlizer: 
  0%|          | 0/26 [00:00<?, ?it/s]
  4%|▍         | 1/26 [00:03<01:27,  3.49s/it]
  8%|▊         | 2/26 [00:05<00:56,  2.37s/it]
 12%|█▏        | 3/26 [00:06<00:48,  2.09s/it]
 15%|█▌        | 4/26 [00:08<00:44,  2.01s/it]
 19%|█▉        | 5/26 [00:11<00:48,  2.30s/it]
 23%|██▎       | 6/26 [00:12<00:40,  2.01s/it]
 27%|██▋       | 7/26 [00:15<00:39,  2.08s/it]
 31%|███       | 8/26 [00:18<00:45,  2.50s/it]
 35%|███▍      | 9/26 [00:20<00:36,  2.16s/it]
 38%|███▊      | 10/26 [00:23<00:40,  2.51s/it]
 42%|████▏     | 11/26 [00:25<00:34,  2.31s/it]
 46%|████▌     | 12/26 [00:26<00:28,  2.05s/it]
 50%|█████     | 13/26 [00:28<00:25,  1.92s/it]
 54%|█████▍    | 14/26 [00:30<00:24,  2.05s/it]
 58%|█████▊    | 15/26 [00:32<00:20,  1.86s/it]
 62%|██████▏   | 16/26 [00:34<00:21,  2.11s/it]
 65%|██████▌   | 17/26 [00:40<00:29,  3.29s/it]
 69%|██████▉   | 18/26 [00:42<00:21,  2.70s/it]
 73%|███████▎  | 19/26 [00:43<00:17,  2.45s/it]
 77%|███████▋  | 20/26 [00:45<00:13,  2.22s/it]
 81%|████████  | 21/26 [00:47<00:10,  2.10s/it]
 85%|████████▍ | 22/26 [00:49<00:08,  2.16s/it]
 88%|████████▊ | 23/26 [00:51<00:05,  1.97s/it]
 92%|█████████▏| 24/26 [00:52<00:03,  1.82s/it]
 96%|█████████▌| 25/26 [00:54<00:01,  1.75s/it]
100%|██████████| 26/26 [00:55<00:00,  1.62s/it]
100%|██████████| 26/26 [00:55<00:00,  2.14s/it]
junhua024-chai-19nn4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpb4m9vq5z, device:0
junhua024-chai-19nn4-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)
junhua024-chai-19nn4-v1-mkmlizer: quantized model in 163.336s
junhua024-chai-19nn4-v1-mkmlizer: Processed model junhua024/chai_19nn4 in 403.614s
junhua024-chai-19nn4-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19nn4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19nn4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19nn4-v1/nvidia
junhua024-chai-19nn4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19nn4-v1/nvidia/config.json
junhua024-chai-19nn4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19nn4-v1/nvidia/special_tokens_map.json
junhua024-chai-19nn4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19nn4-v1/nvidia/tokenizer_config.json
junhua024-chai-19nn4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19nn4-v1/nvidia/tokenizer.json
junhua024-chai-19nn4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19nn4-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-19nn4-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:21, 16.93it/s]
Loading 0:   1%|          | 4/363 [00:02<03:32,  1.69it/s]
Loading 0:   1%|▏         | 5/363 [00:03<04:18,  1.38it/s]
Loading 0:   2%|▏         | 8/363 [00:03<02:17,  2.59it/s]
Loading 0:   2%|▏         | 9/363 [00:03<02:11,  2.68it/s]
Loading 0:   3%|▎         | 10/363 [00:03<01:52,  3.13it/s]
Loading 0:   3%|▎         | 11/363 [00:04<02:47,  2.10it/s]
Loading 0:   3%|▎         | 12/363 [00:05<03:37,  1.61it/s]
Loading 0:   4%|▍         | 14/363 [00:06<02:29,  2.33it/s]
Loading 0:   4%|▍         | 15/363 [00:06<02:17,  2.54it/s]
Loading 0:   4%|▍         | 16/363 [00:06<01:56,  2.99it/s]
Loading 0:   5%|▍         | 18/363 [00:07<02:22,  2.42it/s]
Loading 0:   6%|▌         | 21/363 [00:08<02:06,  2.71it/s]
Loading 0:   6%|▌         | 22/363 [00:09<02:43,  2.09it/s]
Loading 0:   6%|▋         | 23/363 [00:10<03:21,  1.69it/s]
Loading 0:   7%|▋         | 26/363 [00:11<02:03,  2.72it/s]
Loading 0:   7%|▋         | 27/363 [00:11<01:57,  2.85it/s]
Loading 0:   8%|▊         | 28/363 [00:11<01:42,  3.27it/s]
Loading 0:   8%|▊         | 29/363 [00:12<02:31,  2.20it/s]
Loading 0:   9%|▊         | 31/363 [00:12<01:53,  2.92it/s]
Loading 0:   9%|▉         | 32/363 [00:13<01:48,  3.04it/s]
Loading 0:   9%|▉         | 33/363 [00:13<01:32,  3.55it/s]
Loading 0:  10%|▉         | 35/363 [00:14<02:03,  2.65it/s]
Loading 0:  10%|▉         | 36/363 [00:15<02:51,  1.91it/s]
Loading 0:  11%|█         | 39/363 [00:16<02:17,  2.36it/s]
Loading 0:  11%|█         | 40/363 [00:17<02:49,  1.90it/s]
Loading 0:  11%|█▏        | 41/363 [00:18<03:23,  1.58it/s]
Loading 0:  12%|█▏        | 44/363 [00:18<02:02,  2.60it/s]
Loading 0:  12%|█▏        | 45/363 [00:18<01:56,  2.74it/s]
Loading 0:  13%|█▎        | 46/363 [00:18<01:40,  3.17it/s]
Loading 0:  13%|█▎        | 48/363 [00:19<01:22,  3.84it/s]
Loading 0:  13%|█▎        | 49/363 [00:19<01:22,  3.78it/s]
Loading 0:  14%|█▍        | 50/363 [00:19<01:12,  4.30it/s]
Loading 0:  14%|█▍        | 52/363 [00:20<01:47,  2.89it/s]
Loading 0:  15%|█▍        | 53/363 [00:21<02:29,  2.08it/s]
Loading 0:  15%|█▍        | 54/363 [00:22<03:10,  1.62it/s]
Loading 0:  16%|█▌        | 57/363 [00:23<02:22,  2.15it/s]
Loading 0:  16%|█▌        | 58/363 [00:24<02:50,  1.78it/s]
Loading 0:  16%|█▋        | 59/363 [00:25<03:20,  1.51it/s]
Loading 0:  17%|█▋        | 62/363 [00:25<01:59,  2.52it/s]
Loading 0:  17%|█▋        | 63/363 [00:26<01:52,  2.67it/s]
Loading 0:  18%|█▊        | 64/363 [00:26<01:36,  3.10it/s]
Loading 0:  18%|█▊        | 66/363 [00:27<01:57,  2.52it/s]
Loading 0:  18%|█▊        | 67/363 [00:28<02:32,  1.95it/s]
Loading 0:  19%|█▊        | 68/363 [00:29<03:08,  1.57it/s]
Loading 0:  20%|█▉        | 71/363 [00:29<01:49,  2.66it/s]
Loading 0:  20%|█▉        | 72/363 [00:30<01:43,  2.80it/s]
Loading 0:  20%|██        | 73/363 [00:30<01:29,  3.25it/s]
Loading 0:  20%|██        | 74/363 [00:31<02:13,  2.17it/s]
Loading 0:  21%|██        | 75/363 [00:32<02:53,  1.66it/s]
Loading 0:  21%|██        | 77/363 [00:32<02:00,  2.37it/s]
Loading 0:  21%|██▏       | 78/363 [00:32<01:50,  2.58it/s]
Loading 0:  22%|██▏       | 79/363 [00:32<01:31,  3.09it/s]
Loading 0:  22%|██▏       | 80/363 [00:33<02:24,  1.96it/s]
Loading 0:  23%|██▎       | 82/363 [00:34<01:42,  2.74it/s]
Loading 0:  23%|██▎       | 83/363 [00:34<01:36,  2.91it/s]
Loading 0:  23%|██▎       | 84/363 [00:34<01:21,  3.40it/s]
Loading 0:  24%|██▎       | 86/363 [00:35<01:43,  2.68it/s]
Loading 0:  25%|██▍       | 89/363 [00:36<01:35,  2.87it/s]
Loading 0:  25%|██▍       | 90/363 [00:37<02:05,  2.17it/s]
Loading 0:  25%|██▌       | 91/363 [00:38<02:37,  1.73it/s]
Loading 0:  26%|██▌       | 94/363 [00:38<01:36,  2.78it/s]
Loading 0:  26%|██▌       | 95/363 [00:39<01:32,  2.90it/s]
Loading 0:  26%|██▋       | 96/363 [00:39<01:20,  3.32it/s]
Loading 0:  27%|██▋       | 98/363 [00:40<01:42,  2.59it/s]
Loading 0:  27%|██▋       | 99/363 [00:41<02:18,  1.91it/s]
Loading 0:  28%|██▊       | 102/363 [00:42<01:51,  2.33it/s]
Loading 0:  28%|██▊       | 103/363 [00:43<02:17,  1.89it/s]
Loading 0:  29%|██▊       | 104/363 [00:44<02:43,  1.58it/s]
Loading 0:  29%|██▉       | 107/363 [00:44<01:39,  2.57it/s]
Loading 0:  30%|██▉       | 108/363 [00:45<01:34,  2.71it/s]
Loading 0:  30%|███       | 109/363 [00:45<01:21,  3.11it/s]
Loading 0:  31%|███       | 111/363 [00:45<01:07,  3.75it/s]
Loading 0:  31%|███       | 112/363 [00:45<01:07,  3.72it/s]
Loading 0:  31%|███       | 113/363 [00:45<00:59,  4.19it/s]
Loading 0:  32%|███▏      | 115/363 [00:46<01:27,  2.83it/s]
Loading 0:  32%|███▏      | 116/363 [00:47<02:00,  2.05it/s]
Loading 0:  32%|███▏      | 117/363 [00:48<02:32,  1.61it/s]
Loading 0:  33%|███▎      | 120/363 [00:49<01:54,  2.13it/s]
Loading 0:  33%|███▎      | 121/363 [00:50<02:17,  1.77it/s]
Loading 0:  34%|███▎      | 122/363 [00:51<02:40,  1.50it/s]
Loading 0:  34%|███▍      | 125/363 [00:52<01:35,  2.49it/s]
Loading 0:  35%|███▍      | 126/363 [00:52<01:29,  2.64it/s]
Loading 0:  35%|███▍      | 127/363 [00:52<01:17,  3.06it/s]
Loading 0:  36%|███▌      | 129/363 [00:53<01:33,  2.50it/s]
Loading 0:  36%|███▌      | 130/363 [00:54<02:01,  1.92it/s]
Loading 0:  36%|███▌      | 131/363 [00:55<02:28,  1.56it/s]
Loading 0:  37%|███▋      | 134/363 [00:56<01:26,  2.64it/s]
Loading 0:  37%|███▋      | 135/363 [00:56<01:22,  2.77it/s]
Loading 0:  37%|███▋      | 136/363 [00:56<01:11,  3.18it/s]
Loading 0:  38%|███▊      | 137/363 [00:57<01:45,  2.14it/s]
Loading 0:  38%|███▊      | 138/363 [00:58<02:17,  1.64it/s]
Loading 0:  39%|███▊      | 140/363 [00:58<01:35,  2.34it/s]
Loading 0:  39%|███▉      | 141/363 [00:59<01:27,  2.54it/s]
Loading 0:  39%|███▉      | 142/363 [00:59<01:12,  3.04it/s]
Loading 0:  40%|███▉      | 144/363 [01:00<01:30,  2.43it/s]
Loading 0:  40%|████      | 147/363 [01:01<01:20,  2.70it/s]
Loading 0:  41%|████      | 148/363 [01:02<01:43,  2.08it/s]
Loading 0:  41%|████      | 149/363 [01:03<02:07,  1.68it/s]
Loading 0:  42%|████▏     | 152/363 [01:03<01:18,  2.69it/s]
Loading 0:  42%|████▏     | 153/363 [01:03<01:14,  2.82it/s]
Loading 0:  42%|████▏     | 154/363 [01:04<01:04,  3.23it/s]
Loading 0:  43%|████▎     | 155/363 [01:05<01:35,  2.18it/s]
Loading 0:  43%|████▎     | 157/363 [01:05<01:11,  2.90it/s]
Loading 0:  44%|████▎     | 158/363 [01:05<01:07,  3.03it/s]
Loading 0:  44%|████▍     | 159/363 [01:05<00:57,  3.52it/s]
Loading 0:  44%|████▍     | 161/363 [01:06<01:17,  2.61it/s]
Loading 0:  45%|████▍     | 162/363 [01:07<01:47,  1.88it/s]
Loading 0:  45%|████▌     | 165/363 [01:08<01:25,  2.32it/s]
Loading 0:  46%|████▌     | 166/363 [01:09<01:45,  1.87it/s]
Loading 0:  46%|████▌     | 167/363 [01:10<02:05,  1.56it/s]
Loading 0:  47%|████▋     | 170/363 [01:11<01:15,  2.56it/s]
Loading 0:  47%|████▋     | 171/363 [01:11<01:10,  2.71it/s]
Loading 0:  47%|████▋     | 172/363 [01:11<01:01,  3.12it/s]
Loading 0:  48%|████▊     | 174/363 [01:12<00:50,  3.76it/s]
Loading 0:  48%|████▊     | 175/363 [01:12<00:50,  3.72it/s]
Loading 0:  48%|████▊     | 176/363 [01:12<00:44,  4.18it/s]
Loading 0:  49%|████▉     | 178/363 [01:13<01:05,  2.84it/s]
Loading 0:  49%|████▉     | 179/363 [01:14<01:29,  2.05it/s]
Loading 0:  50%|████▉     | 180/363 [01:15<01:53,  1.61it/s]
Loading 0:  50%|█████     | 183/363 [01:16<01:24,  2.13it/s]
Loading 0:  51%|█████     | 184/363 [01:17<01:41,  1.77it/s]
Loading 0:  51%|█████     | 185/363 [01:18<01:58,  1.50it/s]
Loading 0:  52%|█████▏    | 188/363 [01:18<01:10,  2.50it/s]
Loading 0:  52%|█████▏    | 189/363 [01:19<01:05,  2.65it/s]
Loading 0:  52%|█████▏    | 190/363 [01:19<00:56,  3.08it/s]
Loading 0:  53%|█████▎    | 192/363 [01:20<01:07,  2.52it/s]
Loading 0:  53%|█████▎    | 193/363 [01:21<01:27,  1.94it/s]
Loading 0:  53%|█████▎    | 194/363 [01:22<01:47,  1.58it/s]
Loading 0:  54%|█████▍    | 197/363 [01:22<01:02,  2.67it/s]
Loading 0:  55%|█████▍    | 198/363 [01:22<00:58,  2.80it/s]
Loading 0:  55%|█████▍    | 199/363 [01:22<00:50,  3.24it/s]
Loading 0:  55%|█████▌    | 200/363 [01:23<01:15,  2.16it/s]
Loading 0:  55%|█████▌    | 201/363 [01:24<01:38,  1.65it/s]
Loading 0:  56%|█████▌    | 203/363 [01:25<01:07,  2.35it/s]
Loading 0:  56%|█████▌    | 204/363 [01:25<01:02,  2.56it/s]
Loading 0:  56%|█████▋    | 205/363 [01:25<00:52,  3.01it/s]
Loading 0:  57%|█████▋    | 207/363 [01:26<01:04,  2.43it/s]
Loading 0:  58%|█████▊    | 210/363 [01:27<00:56,  2.71it/s]
Loading 0:  58%|█████▊    | 211/363 [01:28<01:12,  2.10it/s]
Loading 0:  58%|█████▊    | 212/363 [01:29<01:29,  1.69it/s]
Loading 0:  59%|█████▉    | 215/363 [01:30<00:54,  2.71it/s]
Loading 0:  60%|█████▉    | 216/363 [01:30<00:51,  2.83it/s]
Loading 0:  60%|█████▉    | 217/363 [01:30<00:45,  3.24it/s]
Loading 0:  60%|██████    | 218/363 [01:31<01:06,  2.19it/s]
Loading 0:  61%|██████    | 220/363 [01:31<00:49,  2.91it/s]
Loading 0:  61%|██████    | 221/363 [01:32<00:46,  3.04it/s]
Loading 0:  61%|██████    | 222/363 [01:32<00:39,  3.57it/s]
Loading 0:  62%|██████▏   | 224/363 [01:33<00:52,  2.65it/s]
Loading 0:  62%|██████▏   | 225/363 [01:34<01:12,  1.91it/s]
Loading 0:  63%|██████▎   | 228/363 [01:35<00:57,  2.35it/s]
Loading 0:  63%|██████▎   | 229/363 [01:36<01:10,  1.90it/s]
Loading 0:  63%|██████▎   | 230/363 [01:37<01:24,  1.58it/s]
Loading 0:  64%|██████▍   | 233/363 [01:37<00:50,  2.59it/s]
Loading 0:  64%|██████▍   | 234/363 [01:37<00:47,  2.74it/s]
Loading 0:  65%|██████▍   | 235/363 [01:38<00:40,  3.13it/s]
Loading 0:  65%|██████▌   | 237/363 [01:38<00:33,  3.78it/s]
Loading 0:  66%|██████▌   | 238/363 [01:38<00:33,  3.75it/s]
Loading 0:  66%|██████▌   | 239/363 [01:38<00:29,  4.22it/s]
Loading 0:  66%|██████▋   | 241/363 [01:39<00:42,  2.88it/s]
Loading 0:  67%|██████▋   | 242/363 [01:40<00:58,  2.07it/s]
Loading 0:  67%|██████▋   | 243/363 [01:41<01:13,  1.63it/s]
Loading 0:  68%|██████▊   | 246/363 [01:42<00:54,  2.16it/s]
Loading 0:  68%|██████▊   | 247/363 [01:43<01:04,  1.79it/s]
Loading 0:  68%|██████▊   | 248/363 [01:44<01:15,  1.51it/s]
Loading 0:  69%|██████▉   | 251/363 [01:45<00:44,  2.52it/s]
Loading 0:  69%|██████▉   | 252/363 [01:45<00:41,  2.67it/s]
Loading 0:  70%|██████▉   | 253/363 [01:45<00:36,  3.05it/s]
Loading 0:  70%|███████   | 255/363 [01:46<00:43,  2.48it/s]
Loading 0:  71%|███████   | 256/363 [01:47<00:55,  1.93it/s]
Loading 0:  71%|███████   | 257/363 [01:48<01:07,  1.57it/s]
Loading 0:  72%|███████▏  | 260/363 [01:48<00:38,  2.67it/s]
Loading 0:  72%|███████▏  | 261/363 [01:49<00:36,  2.81it/s]
Loading 0:  72%|███████▏  | 262/363 [01:49<00:31,  3.25it/s]
Loading 0:  72%|███████▏  | 263/363 [01:50<00:45,  2.18it/s]
Loading 0:  73%|███████▎  | 264/363 [01:51<00:59,  1.66it/s]
Loading 0:  73%|███████▎  | 266/363 [01:51<00:40,  2.37it/s]
Loading 0:  74%|███████▎  | 267/363 [01:51<00:37,  2.58it/s]
Loading 0:  74%|███████▍  | 268/363 [01:52<00:31,  3.06it/s]
Loading 0:  74%|███████▍  | 270/363 [01:53<00:37,  2.46it/s]
Loading 0:  75%|███████▌  | 273/363 [01:54<00:32,  2.73it/s]
Loading 0:  75%|███████▌  | 274/363 [01:54<00:42,  2.11it/s]
Loading 0:  76%|███████▌  | 275/363 [01:56<00:51,  1.69it/s]
Loading 0:  77%|███████▋  | 278/363 [01:56<00:31,  2.73it/s]
Loading 0:  77%|███████▋  | 279/363 [01:56<00:29,  2.86it/s]
Loading 0:  77%|███████▋  | 280/363 [01:56<00:25,  3.27it/s]
Loading 0:  77%|███████▋  | 281/363 [01:57<00:37,  2.20it/s]
Loading 0:  78%|███████▊  | 283/363 [01:58<00:27,  2.93it/s]
Loading 0:  78%|███████▊  | 284/363 [01:58<00:25,  3.06it/s]
Loading 0:  79%|███████▊  | 285/363 [01:58<00:21,  3.58it/s]
Loading 0:  79%|███████▉  | 287/363 [01:59<00:28,  2.66it/s]
Loading 0:  79%|███████▉  | 288/363 [02:00<00:39,  1.92it/s]
Loading 0:  80%|████████  | 291/363 [02:01<00:30,  2.37it/s]
Loading 0:  80%|████████  | 292/363 [02:02<00:37,  1.91it/s]
Loading 0:  81%|████████  | 293/363 [02:03<00:44,  1.59it/s]
Loading 0:  82%|████████▏ | 296/363 [02:03<00:25,  2.61it/s]
Loading 0:  82%|████████▏ | 297/363 [02:04<00:23,  2.75it/s]
Loading 0:  82%|████████▏ | 298/363 [02:04<00:20,  3.17it/s]
Loading 0:  83%|████████▎ | 300/363 [02:04<00:16,  3.83it/s]
Loading 0:  83%|████████▎ | 301/363 [02:04<00:16,  3.77it/s]
Loading 0:  83%|████████▎ | 302/363 [02:04<00:14,  4.26it/s]
Loading 0:  84%|████████▎ | 304/363 [02:05<00:20,  2.87it/s]
Loading 0:  84%|████████▍ | 305/363 [02:06<00:27,  2.07it/s]
Loading 0:  84%|████████▍ | 306/363 [02:07<00:34,  1.64it/s]
Loading 0:  85%|████████▌ | 309/363 [02:08<00:24,  2.17it/s]
Loading 0:  85%|████████▌ | 310/363 [02:09<00:29,  1.80it/s]
Loading 0:  86%|████████▌ | 311/363 [02:10<00:34,  1.52it/s]
Loading 0:  87%|████████▋ | 314/363 [02:11<00:19,  2.53it/s]
Loading 0:  87%|████████▋ | 315/363 [02:11<00:17,  2.68it/s]
Loading 0:  87%|████████▋ | 316/363 [02:11<00:15,  3.06it/s]
Loading 0:  88%|████████▊ | 318/363 [02:12<00:18,  2.49it/s]
Loading 0:  88%|████████▊ | 319/363 [02:13<00:22,  1.93it/s]
Loading 0:  88%|████████▊ | 320/363 [02:14<00:27,  1.58it/s]
Loading 0:  89%|████████▉ | 323/363 [02:15<00:14,  2.67it/s]
Loading 0:  89%|████████▉ | 324/363 [02:15<00:13,  2.81it/s]
Loading 0:  90%|████████▉ | 325/363 [02:15<00:11,  3.25it/s]
Loading 0:  90%|████████▉ | 326/363 [02:16<00:16,  2.18it/s]
Loading 0:  90%|█████████ | 327/363 [02:17<00:21,  1.67it/s]
Loading 0:  91%|█████████ | 329/363 [02:17<00:14,  2.39it/s]
Loading 0:  91%|█████████ | 330/363 [02:18<00:12,  2.59it/s]
Loading 0:  91%|█████████ | 331/363 [02:18<00:10,  3.09it/s]
Loading 0:  92%|█████████▏| 333/363 [02:19<00:12,  2.47it/s]
Loading 0:  93%|█████████▎| 336/363 [02:20<00:09,  2.74it/s]
Loading 0:  93%|█████████▎| 337/363 [02:21<00:12,  2.12it/s]
Loading 0:  93%|█████████▎| 338/363 [02:22<00:14,  1.70it/s]
Loading 0:  94%|█████████▍| 341/363 [02:22<00:08,  2.73it/s]
Loading 0:  94%|█████████▍| 342/363 [02:22<00:07,  2.86it/s]
Loading 0:  94%|█████████▍| 343/363 [02:22<00:06,  3.27it/s]
Loading 0:  95%|█████████▍| 344/363 [02:23<00:08,  2.20it/s]
Loading 0:  95%|█████████▌| 346/363 [02:24<00:05,  2.93it/s]
Loading 0:  96%|█████████▌| 347/363 [02:24<00:05,  3.05it/s]
Loading 0:  96%|█████████▌| 348/363 [02:24<00:04,  3.54it/s]
Loading 0:  96%|█████████▌| 349/363 [02:24<00:03,  3.58it/s]
Loading 0:  96%|█████████▋| 350/363 [02:24<00:03,  4.29it/s]
Loading 0:  97%|█████████▋| 351/363 [02:25<00:05,  2.30it/s]
Loading 0:  97%|█████████▋| 352/363 [02:26<00:06,  1.66it/s]
Loading 0:  98%|█████████▊| 355/363 [02:27<00:03,  2.21it/s]
Loading 0:  98%|█████████▊| 356/363 [02:28<00:03,  1.80it/s]
Loading 0:  98%|█████████▊| 357/363 [02:29<00:03,  1.51it/s]
Loading 0:  99%|█████████▉| 360/363 [02:30<00:01,  2.56it/s]
Loading 0:  99%|█████████▉| 361/363 [02:30<00:00,  2.71it/s]
Loading 0: 100%|█████████▉| 362/363 [02:30<00:00,  3.14it/s]
                                                            
Job junhua024-chai-19nn4-v1-mkmlizer completed after 427.63s with status: succeeded
Stopping job with name junhua024-chai-19nn4-v1-mkmlizer
Pipeline stage MKMLizer completed in 428.41s
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-19nn4-v1
Waiting for inference service junhua024-chai-19nn4-v1 to be ready
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-19nn4-v1 ready after 221.05546760559082s
Pipeline stage MKMLDeployer completed in 221.70s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.355900764465332s
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)
Received healthy response to inference request in 1.6133365631103516s
Received healthy response to inference request in 2.6341328620910645s
Received healthy response to inference request in 1.7988228797912598s
Received healthy response to inference request in 2.486201286315918s
5 requests
0 failed requests
5th percentile: 1.6504338264465332
10th percentile: 1.687531089782715
20th percentile: 1.761725616455078
30th percentile: 1.9102384567260742
40th percentile: 2.133069610595703
50th percentile: 2.355900764465332
60th percentile: 2.4080209732055664
70th percentile: 2.460141181945801
80th percentile: 2.5157876014709473
90th percentile: 2.574960231781006
95th percentile: 2.604546546936035
99th percentile: 2.6282155990600584
mean time: 2.177678871154785
Pipeline stage StressChecker completed in 12.60s
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 0.76s
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-19nn4_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 3315.38s
Shutdown handler de-registered
junhua024-chai-19nn4_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19nn4_v1 status is now torndown due to DeploymentManager action