junhua024-chai-12-full-06-166

developer_uid: junhua024
submission_id: junhua024-chai-12-full-06-166_v1
model_name: junhua024-chai-12-full-06-166_v1
model_group: junhua024/chai_12_full_0
status: torndown
timestamp: 2025-07-28T01:31:31+00:00
num_battles: 6711
num_wins: 3689
celo_rating: 1294.92
family_friendly_score: 0.4404
family_friendly_standard_error: 0.0070206529610856
submission_type: basic
model_repo: junhua024/chai_12_full_06_166
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
display_name: junhua024-chai-12-full-06-166_v1
is_internal_developer: False
language_model: junhua024/chai_12_full_06_166
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-27
win_ratio: 0.5496945313664133
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity. Each of your responses should be fewer than 64 tokens long.", '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-12-full-06-166-v1-mkmlizer
Waiting for job on junhua024-chai-12-full-06-166-v1-mkmlizer to finish
junhua024-chai-12-full-06-166-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-12-full-06-166-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-166-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-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-12-full-06-166-v1-mkmlizer: Downloaded to shared memory in 92.028s
junhua024-chai-12-full-06-166-v1-mkmlizer: Checking if junhua024/chai_12_full_06_166 already exists in ChaiML
junhua024-chai-12-full-06-166-v1-mkmlizer: Creating repo ChaiML/chai_12_full_06_166 and uploading /tmp/tmpdfrxvtch to it
junhua024-chai-12-full-06-166-v1-mkmlizer: 
  0%|          | 0/26 [00:00<?, ?it/s]
  4%|▍         | 1/26 [00:01<00:43,  1.73s/it]
  8%|▊         | 2/26 [00:03<00:39,  1.65s/it]
 12%|█▏        | 3/26 [00:04<00:33,  1.46s/it]
 15%|█▌        | 4/26 [00:05<00:30,  1.38s/it]
 19%|█▉        | 5/26 [00:07<00:28,  1.34s/it]
 23%|██▎       | 6/26 [00:08<00:26,  1.32s/it]
 27%|██▋       | 7/26 [00:10<00:27,  1.47s/it]
 31%|███       | 8/26 [00:11<00:24,  1.39s/it]
 35%|███▍      | 9/26 [00:12<00:23,  1.38s/it]
 38%|███▊      | 10/26 [00:14<00:21,  1.36s/it]
 42%|████▏     | 11/26 [00:15<00:20,  1.36s/it]
 46%|████▌     | 12/26 [00:16<00:19,  1.36s/it]
 50%|█████     | 13/26 [00:18<00:17,  1.35s/it]
 54%|█████▍    | 14/26 [00:21<00:23,  1.94s/it]
 58%|█████▊    | 15/26 [00:22<00:19,  1.74s/it]
 62%|██████▏   | 16/26 [00:23<00:15,  1.60s/it]
 65%|██████▌   | 17/26 [00:29<00:26,  2.92s/it]
 69%|██████▉   | 18/26 [00:31<00:20,  2.57s/it]
 73%|███████▎  | 19/26 [00:32<00:15,  2.18s/it]
 77%|███████▋  | 20/26 [00:34<00:11,  1.90s/it]
 81%|████████  | 21/26 [00:35<00:08,  1.73s/it]
 85%|████████▍ | 22/26 [00:37<00:07,  1.84s/it]
 88%|████████▊ | 23/26 [00:39<00:05,  1.99s/it]
 92%|█████████▏| 24/26 [00:41<00:03,  1.92s/it]
 96%|█████████▌| 25/26 [00:42<00:01,  1.70s/it]
100%|██████████| 26/26 [00:43<00:00,  1.32s/it]
100%|██████████| 26/26 [00:43<00:00,  1.67s/it]
junhua024-chai-12-full-06-166-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpdfrxvtch, device:0
junhua024-chai-12-full-06-166-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-06-166-v1-mkmlizer: quantized model in 185.638s
junhua024-chai-12-full-06-166-v1-mkmlizer: Processed model junhua024/chai_12_full_06_166 in 342.063s
junhua024-chai-12-full-06-166-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-06-166-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-06-166-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-06-166-v1/nvidia
junhua024-chai-12-full-06-166-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-166-v1/nvidia/special_tokens_map.json
junhua024-chai-12-full-06-166-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-166-v1/nvidia/tokenizer_config.json
junhua024-chai-12-full-06-166-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-166-v1/nvidia/config.json
junhua024-chai-12-full-06-166-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-166-v1/nvidia/tokenizer.json
junhua024-chai-12-full-06-166-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-06-166-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-12-full-06-166-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:35, 10.31it/s]
Loading 0:   1%|          | 4/363 [00:02<03:58,  1.51it/s]
Loading 0:   1%|▏         | 5/363 [00:03<04:51,  1.23it/s]
Loading 0:   2%|▏         | 8/363 [00:03<02:33,  2.31it/s]
Loading 0:   2%|▏         | 9/363 [00:04<02:26,  2.42it/s]
Loading 0:   3%|▎         | 10/363 [00:04<02:06,  2.80it/s]
Loading 0:   3%|▎         | 11/363 [00:05<03:05,  1.90it/s]
Loading 0:   3%|▎         | 12/363 [00:06<04:00,  1.46it/s]
Loading 0:   4%|▍         | 14/363 [00:06<02:45,  2.11it/s]
Loading 0:   4%|▍         | 15/363 [00:07<02:31,  2.30it/s]
Loading 0:   4%|▍         | 16/363 [00:07<02:07,  2.72it/s]
Loading 0:   5%|▍         | 17/363 [00:07<01:47,  3.23it/s]
Loading 0:   5%|▍         | 18/363 [00:08<02:58,  1.93it/s]
Loading 0:   6%|▌         | 21/363 [00:09<02:26,  2.34it/s]
Loading 0:   6%|▌         | 22/363 [00:10<03:08,  1.81it/s]
Loading 0:   6%|▋         | 23/363 [00:11<03:54,  1.45it/s]
Loading 0:   7%|▋         | 26/363 [00:12<02:19,  2.42it/s]
Loading 0:   7%|▋         | 27/363 [00:12<02:12,  2.54it/s]
Loading 0:   8%|▊         | 28/363 [00:12<01:55,  2.90it/s]
Loading 0:   8%|▊         | 29/363 [00:13<02:49,  1.97it/s]
Loading 0:   9%|▊         | 31/363 [00:14<02:06,  2.62it/s]
Loading 0:   9%|▉         | 32/363 [00:14<02:01,  2.73it/s]
Loading 0:   9%|▉         | 33/363 [00:14<01:44,  3.15it/s]
Loading 0:   9%|▉         | 34/363 [00:14<01:30,  3.65it/s]
Loading 0:  10%|▉         | 35/363 [00:15<02:38,  2.07it/s]
Loading 0:  10%|▉         | 36/363 [00:16<03:37,  1.51it/s]
Loading 0:  11%|█         | 39/363 [00:18<02:39,  2.03it/s]
Loading 0:  11%|█         | 40/363 [00:19<03:16,  1.65it/s]
Loading 0:  11%|█▏        | 41/363 [00:20<03:54,  1.37it/s]
Loading 0:  12%|█▏        | 44/363 [00:20<02:17,  2.33it/s]
Loading 0:  12%|█▏        | 45/363 [00:20<02:09,  2.46it/s]
Loading 0:  13%|█▎        | 46/363 [00:21<01:52,  2.83it/s]
Loading 0:  13%|█▎        | 48/363 [00:21<01:31,  3.45it/s]
Loading 0:  13%|█▎        | 49/363 [00:21<01:30,  3.49it/s]
Loading 0:  14%|█▍        | 50/363 [00:21<01:20,  3.89it/s]
Loading 0:  14%|█▍        | 51/363 [00:22<01:11,  4.36it/s]
Loading 0:  14%|█▍        | 52/363 [00:23<02:18,  2.24it/s]
Loading 0:  15%|█▍        | 53/363 [00:24<03:14,  1.59it/s]
Loading 0:  15%|█▍        | 54/363 [00:25<04:03,  1.27it/s]
Loading 0:  16%|█▌        | 57/363 [00:26<02:50,  1.79it/s]
Loading 0:  16%|█▌        | 58/363 [00:27<03:20,  1.52it/s]
Loading 0:  16%|█▋        | 59/363 [00:28<03:52,  1.31it/s]
Loading 0:  17%|█▋        | 62/363 [00:29<02:14,  2.24it/s]
Loading 0:  17%|█▋        | 63/363 [00:29<02:06,  2.38it/s]
Loading 0:  18%|█▊        | 64/363 [00:29<01:48,  2.74it/s]
Loading 0:  18%|█▊        | 65/363 [00:29<01:33,  3.19it/s]
Loading 0:  18%|█▊        | 66/363 [00:30<02:28,  2.00it/s]
Loading 0:  18%|█▊        | 67/363 [00:31<03:10,  1.56it/s]
Loading 0:  19%|█▊        | 68/363 [00:32<03:51,  1.27it/s]
Loading 0:  20%|█▉        | 71/363 [00:33<02:05,  2.33it/s]
Loading 0:  20%|█▉        | 72/363 [00:33<01:57,  2.48it/s]
Loading 0:  20%|██        | 73/363 [00:33<01:40,  2.88it/s]
Loading 0:  20%|██        | 74/363 [00:34<02:31,  1.91it/s]
Loading 0:  21%|██        | 75/363 [00:35<03:19,  1.44it/s]
Loading 0:  21%|██        | 77/363 [00:36<02:16,  2.10it/s]
Loading 0:  21%|██▏       | 78/363 [00:36<02:04,  2.29it/s]
Loading 0:  22%|██▏       | 79/363 [00:36<01:44,  2.73it/s]
Loading 0:  22%|██▏       | 80/363 [00:38<02:46,  1.70it/s]
Loading 0:  23%|██▎       | 82/363 [00:38<01:57,  2.40it/s]
Loading 0:  23%|██▎       | 83/363 [00:38<01:49,  2.56it/s]
Loading 0:  23%|██▎       | 84/363 [00:38<01:32,  3.02it/s]
Loading 0:  24%|██▎       | 86/363 [00:39<01:55,  2.40it/s]
Loading 0:  25%|██▍       | 89/363 [00:40<01:46,  2.58it/s]
Loading 0:  25%|██▍       | 90/363 [00:42<02:19,  1.96it/s]
Loading 0:  25%|██▌       | 91/363 [00:43<02:55,  1.55it/s]
Loading 0:  26%|██▌       | 94/363 [00:43<01:48,  2.47it/s]
Loading 0:  26%|██▌       | 95/363 [00:43<01:44,  2.56it/s]
Loading 0:  26%|██▋       | 96/363 [00:44<01:31,  2.92it/s]
Loading 0:  27%|██▋       | 97/363 [00:44<01:19,  3.36it/s]
Loading 0:  27%|██▋       | 98/363 [00:45<02:09,  2.04it/s]
Loading 0:  27%|██▋       | 99/363 [00:46<02:56,  1.50it/s]
Loading 0:  28%|██▊       | 102/363 [00:47<02:11,  1.99it/s]
Loading 0:  28%|██▊       | 103/363 [00:48<02:40,  1.62it/s]
Loading 0:  29%|██▊       | 104/363 [00:49<03:11,  1.35it/s]
Loading 0:  29%|██▉       | 107/363 [00:50<01:52,  2.27it/s]
Loading 0:  30%|██▉       | 108/363 [00:50<01:45,  2.41it/s]
Loading 0:  30%|███       | 109/363 [00:50<01:32,  2.75it/s]
Loading 0:  31%|███       | 111/363 [00:51<01:15,  3.34it/s]
Loading 0:  31%|███       | 112/363 [00:51<01:15,  3.33it/s]
Loading 0:  31%|███       | 113/363 [00:51<01:07,  3.72it/s]
Loading 0:  31%|███▏      | 114/363 [00:51<00:59,  4.20it/s]
Loading 0:  32%|███▏      | 115/363 [00:52<01:52,  2.20it/s]
Loading 0:  32%|███▏      | 116/363 [00:53<02:33,  1.61it/s]
Loading 0:  32%|███▏      | 117/363 [00:54<03:08,  1.31it/s]
Loading 0:  33%|███▎      | 120/363 [00:55<02:11,  1.85it/s]
Loading 0:  33%|███▎      | 121/363 [00:57<02:36,  1.55it/s]
Loading 0:  34%|███▎      | 122/363 [00:58<03:03,  1.31it/s]
Loading 0:  34%|███▍      | 125/363 [00:58<01:46,  2.23it/s]
Loading 0:  35%|███▍      | 126/363 [00:58<01:39,  2.37it/s]
Loading 0:  35%|███▍      | 127/363 [00:59<01:26,  2.73it/s]
Loading 0:  35%|███▌      | 128/363 [00:59<01:14,  3.17it/s]
Loading 0:  36%|███▌      | 129/363 [01:00<01:57,  1.99it/s]
Loading 0:  36%|███▌      | 130/363 [01:01<02:31,  1.54it/s]
Loading 0:  36%|███▌      | 131/363 [01:02<03:02,  1.27it/s]
Loading 0:  37%|███▋      | 134/363 [01:02<01:38,  2.32it/s]
Loading 0:  37%|███▋      | 135/363 [01:03<01:32,  2.46it/s]
Loading 0:  37%|███▋      | 136/363 [01:03<01:19,  2.84it/s]
Loading 0:  38%|███▊      | 137/363 [01:04<01:58,  1.91it/s]
Loading 0:  38%|███▊      | 138/363 [01:05<02:34,  1.46it/s]
Loading 0:  39%|███▊      | 140/363 [01:05<01:45,  2.11it/s]
Loading 0:  39%|███▉      | 141/363 [01:06<01:36,  2.30it/s]
Loading 0:  39%|███▉      | 142/363 [01:06<01:23,  2.66it/s]
Loading 0:  39%|███▉      | 143/363 [01:06<01:09,  3.18it/s]
Loading 0:  40%|███▉      | 144/363 [01:07<01:53,  1.92it/s]
Loading 0:  40%|████      | 147/363 [01:08<01:32,  2.32it/s]
Loading 0:  41%|████      | 148/363 [01:09<01:59,  1.79it/s]
Loading 0:  41%|████      | 149/363 [01:10<02:27,  1.45it/s]
Loading 0:  42%|████▏     | 152/363 [01:11<01:27,  2.41it/s]
Loading 0:  42%|████▏     | 153/363 [01:11<01:22,  2.54it/s]
Loading 0:  42%|████▏     | 154/363 [01:11<01:12,  2.90it/s]
Loading 0:  43%|████▎     | 155/363 [01:12<01:46,  1.95it/s]
Loading 0:  43%|████▎     | 157/363 [01:13<01:18,  2.61it/s]
Loading 0:  44%|████▎     | 158/363 [01:13<01:15,  2.73it/s]
Loading 0:  44%|████▍     | 159/363 [01:13<01:04,  3.14it/s]
Loading 0:  44%|████▍     | 160/363 [01:13<00:55,  3.65it/s]
Loading 0:  44%|████▍     | 161/363 [01:14<01:37,  2.07it/s]
Loading 0:  45%|████▍     | 162/363 [01:15<02:13,  1.50it/s]
Loading 0:  45%|████▌     | 165/363 [01:17<01:37,  2.02it/s]
Loading 0:  46%|████▌     | 166/363 [01:18<01:59,  1.64it/s]
Loading 0:  46%|████▌     | 167/363 [01:19<02:22,  1.37it/s]
Loading 0:  47%|████▋     | 170/363 [01:19<01:23,  2.32it/s]
Loading 0:  47%|████▋     | 171/363 [01:19<01:18,  2.45it/s]
Loading 0:  47%|████▋     | 172/363 [01:20<01:07,  2.81it/s]
Loading 0:  48%|████▊     | 174/363 [01:20<00:55,  3.42it/s]
Loading 0:  48%|████▊     | 175/363 [01:20<00:54,  3.44it/s]
Loading 0:  48%|████▊     | 176/363 [01:20<00:48,  3.84it/s]
Loading 0:  49%|████▉     | 177/363 [01:21<00:43,  4.31it/s]
Loading 0:  49%|████▉     | 178/363 [01:22<01:23,  2.23it/s]
Loading 0:  49%|████▉     | 179/363 [01:23<01:52,  1.63it/s]
Loading 0:  50%|████▉     | 180/363 [01:24<02:19,  1.32it/s]
Loading 0:  50%|█████     | 183/363 [01:25<01:36,  1.87it/s]
Loading 0:  51%|█████     | 184/363 [01:26<01:54,  1.56it/s]
Loading 0:  51%|█████     | 185/363 [01:27<02:14,  1.32it/s]
Loading 0:  52%|█████▏    | 188/363 [01:27<01:17,  2.25it/s]
Loading 0:  52%|█████▏    | 189/363 [01:28<01:12,  2.40it/s]
Loading 0:  52%|█████▏    | 190/363 [01:28<01:02,  2.77it/s]
Loading 0:  53%|█████▎    | 191/363 [01:28<00:53,  3.21it/s]
Loading 0:  53%|█████▎    | 192/363 [01:29<01:24,  2.02it/s]
Loading 0:  53%|█████▎    | 193/363 [01:30<01:48,  1.56it/s]
Loading 0:  53%|█████▎    | 194/363 [01:31<02:11,  1.29it/s]
Loading 0:  54%|█████▍    | 197/363 [01:32<01:10,  2.36it/s]
Loading 0:  55%|█████▍    | 198/363 [01:32<01:05,  2.50it/s]
Loading 0:  55%|█████▍    | 199/363 [01:32<00:56,  2.88it/s]
Loading 0:  55%|█████▌    | 200/363 [01:33<01:24,  1.92it/s]
Loading 0:  55%|█████▌    | 201/363 [01:34<01:51,  1.46it/s]
Loading 0:  56%|█████▌    | 203/363 [01:35<01:15,  2.11it/s]
Loading 0:  56%|█████▌    | 204/363 [01:35<01:09,  2.30it/s]
Loading 0:  56%|█████▋    | 205/363 [01:35<00:58,  2.72it/s]
Loading 0:  57%|█████▋    | 206/363 [01:35<00:48,  3.24it/s]
Loading 0:  57%|█████▋    | 207/363 [01:36<01:19,  1.95it/s]
Loading 0:  58%|█████▊    | 210/363 [01:37<01:05,  2.35it/s]
Loading 0:  58%|█████▊    | 211/363 [01:38<01:24,  1.79it/s]
Loading 0:  58%|█████▊    | 212/363 [01:40<01:44,  1.44it/s]
Loading 0:  59%|█████▉    | 215/363 [01:40<01:01,  2.42it/s]
Loading 0:  60%|█████▉    | 216/363 [01:40<00:57,  2.54it/s]
Loading 0:  60%|█████▉    | 217/363 [01:40<00:50,  2.90it/s]
Loading 0:  60%|██████    | 218/363 [01:42<01:13,  1.96it/s]
Loading 0:  61%|██████    | 220/363 [01:42<00:54,  2.62it/s]
Loading 0:  61%|██████    | 221/363 [01:42<00:51,  2.74it/s]
Loading 0:  61%|██████    | 222/363 [01:42<00:44,  3.16it/s]
Loading 0:  61%|██████▏   | 223/363 [01:43<00:38,  3.67it/s]
Loading 0:  62%|██████▏   | 224/363 [01:44<01:07,  2.06it/s]
Loading 0:  62%|██████▏   | 225/363 [01:45<01:32,  1.50it/s]
Loading 0:  63%|██████▎   | 228/363 [01:46<01:06,  2.02it/s]
Loading 0:  63%|██████▎   | 229/363 [01:47<01:21,  1.64it/s]
Loading 0:  63%|██████▎   | 230/363 [01:48<01:37,  1.37it/s]
Loading 0:  64%|██████▍   | 233/363 [01:48<00:56,  2.31it/s]
Loading 0:  64%|██████▍   | 234/363 [01:49<00:52,  2.45it/s]
Loading 0:  65%|██████▍   | 235/363 [01:49<00:45,  2.79it/s]
Loading 0:  65%|██████▌   | 237/363 [01:49<00:36,  3.41it/s]
Loading 0:  66%|██████▌   | 238/363 [01:50<00:36,  3.39it/s]
Loading 0:  66%|██████▌   | 239/363 [01:50<00:32,  3.82it/s]
Loading 0:  66%|██████▌   | 240/363 [01:50<00:28,  4.30it/s]
Loading 0:  66%|██████▋   | 241/363 [01:51<00:54,  2.25it/s]
Loading 0:  67%|██████▋   | 242/363 [01:52<01:13,  1.65it/s]
Loading 0:  67%|██████▋   | 243/363 [01:53<01:30,  1.33it/s]
Loading 0:  68%|██████▊   | 246/363 [01:54<01:02,  1.88it/s]
Loading 0:  68%|██████▊   | 247/363 [01:55<01:13,  1.57it/s]
Loading 0:  68%|██████▊   | 248/363 [01:56<01:26,  1.33it/s]
Loading 0:  69%|██████▉   | 251/363 [01:57<00:49,  2.27it/s]
Loading 0:  69%|██████▉   | 252/363 [01:57<00:45,  2.42it/s]
Loading 0:  70%|██████▉   | 253/363 [01:57<00:39,  2.76it/s]
Loading 0:  70%|██████▉   | 254/363 [01:57<00:34,  3.20it/s]
Loading 0:  70%|███████   | 255/363 [01:58<00:53,  2.02it/s]
Loading 0:  71%|███████   | 256/363 [01:59<01:08,  1.57it/s]
Loading 0:  71%|███████   | 257/363 [02:00<01:21,  1.30it/s]
Loading 0:  72%|███████▏  | 260/363 [02:01<00:43,  2.37it/s]
Loading 0:  72%|███████▏  | 261/363 [02:01<00:40,  2.51it/s]
Loading 0:  72%|███████▏  | 262/363 [02:01<00:34,  2.91it/s]
Loading 0:  72%|███████▏  | 263/363 [02:02<00:51,  1.94it/s]
Loading 0:  73%|███████▎  | 264/363 [02:03<01:06,  1.48it/s]
Loading 0:  73%|███████▎  | 266/363 [02:04<00:45,  2.14it/s]
Loading 0:  74%|███████▎  | 267/363 [02:04<00:41,  2.32it/s]
Loading 0:  74%|███████▍  | 268/363 [02:04<00:34,  2.74it/s]
Loading 0:  74%|███████▍  | 269/363 [02:04<00:28,  3.26it/s]
Loading 0:  74%|███████▍  | 270/363 [02:05<00:47,  1.96it/s]
Loading 0:  75%|███████▌  | 273/363 [02:07<00:38,  2.35it/s]
Loading 0:  75%|███████▌  | 274/363 [02:08<00:49,  1.81it/s]
Loading 0:  76%|███████▌  | 275/363 [02:09<01:00,  1.45it/s]
Loading 0:  77%|███████▋  | 278/363 [02:09<00:35,  2.42it/s]
Loading 0:  77%|███████▋  | 279/363 [02:09<00:32,  2.55it/s]
Loading 0:  77%|███████▋  | 280/363 [02:10<00:28,  2.91it/s]
Loading 0:  77%|███████▋  | 281/363 [02:11<00:41,  1.96it/s]
Loading 0:  78%|███████▊  | 283/363 [02:11<00:30,  2.63it/s]
Loading 0:  78%|███████▊  | 284/363 [02:11<00:28,  2.75it/s]
Loading 0:  79%|███████▊  | 285/363 [02:11<00:24,  3.19it/s]
Loading 0:  79%|███████▉  | 286/363 [02:12<00:20,  3.70it/s]
Loading 0:  79%|███████▉  | 287/363 [02:13<00:36,  2.09it/s]
Loading 0:  79%|███████▉  | 288/363 [02:14<00:49,  1.51it/s]
Loading 0:  80%|████████  | 291/363 [02:15<00:35,  2.03it/s]
Loading 0:  80%|████████  | 292/363 [02:16<00:42,  1.65it/s]
Loading 0:  81%|████████  | 293/363 [02:17<00:51,  1.37it/s]
Loading 0:  82%|████████▏ | 296/363 [02:17<00:28,  2.33it/s]
Loading 0:  82%|████████▏ | 297/363 [02:18<00:26,  2.46it/s]
Loading 0:  82%|████████▏ | 298/363 [02:18<00:22,  2.83it/s]
Loading 0:  83%|████████▎ | 300/363 [02:18<00:18,  3.45it/s]
Loading 0:  83%|████████▎ | 301/363 [02:19<00:18,  3.41it/s]
Loading 0:  83%|████████▎ | 302/363 [02:19<00:15,  3.83it/s]
Loading 0:  83%|████████▎ | 303/363 [02:19<00:13,  4.31it/s]
Loading 0:  84%|████████▎ | 304/363 [02:20<00:26,  2.24it/s]
Loading 0:  84%|████████▍ | 305/363 [02:21<00:35,  1.65it/s]
Loading 0:  84%|████████▍ | 306/363 [02:22<00:43,  1.32it/s]
Loading 0:  85%|████████▌ | 309/363 [02:23<00:28,  1.88it/s]
Loading 0:  85%|████████▌ | 310/363 [02:24<00:33,  1.57it/s]
Loading 0:  86%|████████▌ | 311/363 [02:25<00:38,  1.33it/s]
Loading 0:  87%|████████▋ | 314/363 [02:26<00:21,  2.27it/s]
Loading 0:  87%|████████▋ | 315/363 [02:26<00:19,  2.41it/s]
Loading 0:  87%|████████▋ | 316/363 [02:26<00:16,  2.79it/s]
Loading 0:  87%|████████▋ | 317/363 [02:26<00:14,  3.23it/s]
Loading 0:  88%|████████▊ | 318/363 [02:27<00:22,  2.02it/s]
Loading 0:  88%|████████▊ | 319/363 [02:28<00:28,  1.56it/s]
Loading 0:  88%|████████▊ | 320/363 [02:30<00:33,  1.29it/s]
Loading 0:  89%|████████▉ | 323/363 [02:30<00:16,  2.35it/s]
Loading 0:  89%|████████▉ | 324/363 [02:30<00:15,  2.49it/s]
Loading 0:  90%|████████▉ | 325/363 [02:30<00:13,  2.88it/s]
Loading 0:  90%|████████▉ | 326/363 [02:31<00:19,  1.93it/s]
Loading 0:  90%|█████████ | 327/363 [02:33<00:24,  1.48it/s]
Loading 0:  91%|█████████ | 329/363 [02:33<00:15,  2.13it/s]
Loading 0:  91%|█████████ | 330/363 [02:33<00:14,  2.32it/s]
Loading 0:  91%|█████████ | 331/363 [02:33<00:11,  2.76it/s]
Loading 0:  91%|█████████▏| 332/363 [02:34<00:09,  3.28it/s]
Loading 0:  92%|█████████▏| 333/363 [02:35<00:15,  1.98it/s]
Loading 0:  93%|█████████▎| 336/363 [02:36<00:11,  2.37it/s]
Loading 0:  93%|█████████▎| 337/363 [02:37<00:14,  1.82it/s]
Loading 0:  93%|█████████▎| 338/363 [02:38<00:17,  1.47it/s]
Loading 0:  94%|█████████▍| 341/363 [02:38<00:08,  2.46it/s]
Loading 0:  94%|█████████▍| 342/363 [02:38<00:08,  2.58it/s]
Loading 0:  94%|█████████▍| 343/363 [02:39<00:06,  2.94it/s]
Loading 0:  95%|█████████▍| 344/363 [02:40<00:09,  1.98it/s]
Loading 0:  95%|█████████▌| 346/363 [02:40<00:06,  2.64it/s]
Loading 0:  96%|█████████▌| 347/363 [02:40<00:05,  2.76it/s]
Loading 0:  96%|█████████▌| 348/363 [02:41<00:04,  3.16it/s]
Loading 0:  96%|█████████▌| 349/363 [02:41<00:04,  3.09it/s]
Loading 0:  96%|█████████▋| 350/363 [02:41<00:03,  3.55it/s]
Loading 0:  97%|█████████▋| 351/363 [02:42<00:05,  2.03it/s]
Loading 0:  97%|█████████▋| 352/363 [02:43<00:07,  1.49it/s]
Loading 0:  98%|█████████▊| 355/363 [02:44<00:03,  2.01it/s]
Loading 0:  98%|█████████▊| 356/363 [02:45<00:04,  1.64it/s]
Loading 0:  98%|█████████▊| 357/363 [02:46<00:04,  1.38it/s]
Loading 0:  99%|█████████▉| 360/363 [02:47<00:01,  2.34it/s]
Loading 0:  99%|█████████▉| 361/363 [02:47<00:00,  2.47it/s]
Loading 0: 100%|█████████▉| 362/363 [02:47<00:00,  2.79it/s]
                                                            
Job junhua024-chai-12-full-06-166-v1-mkmlizer completed after 364.3s with status: succeeded
Stopping job with name junhua024-chai-12-full-06-166-v1-mkmlizer
Pipeline stage MKMLizer completed in 364.86s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-12-full-06-166-v1
Waiting for inference service junhua024-chai-12-full-06-166-v1 to be ready
Inference service junhua024-chai-12-full-06-166-v1 ready after 200.67731356620789s
Pipeline stage MKMLDeployer completed in 201.29s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.2141785621643066s
Received healthy response to inference request in 1.7753770351409912s
Received healthy response to inference request in 1.5907032489776611s
Received healthy response to inference request in 1.946707010269165s
Received healthy response to inference request in 1.4705309867858887s
5 requests
0 failed requests
5th percentile: 1.4945654392242431
10th percentile: 1.5185998916625976
20th percentile: 1.5666687965393067
30th percentile: 1.627638006210327
40th percentile: 1.7015075206756591
50th percentile: 1.7753770351409912
60th percentile: 1.8439090251922607
70th percentile: 1.9124410152435303
80th percentile: 2.2002013206481936
90th percentile: 2.7071899414062504
95th percentile: 2.960684251785278
99th percentile: 3.163479700088501
mean time: 1.9994993686676026
Pipeline stage StressChecker completed in 11.89s
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 1.77s
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 0.79s
Shutdown handler de-registered
junhua024-chai-12-full-06-166_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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5518.07s
Shutdown handler de-registered
junhua024-chai-12-full-06-166_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-06-166_v1 status is now torndown due to DeploymentManager action