junhua024-chai-19nn16

developer_uid: junhua024
submission_id: junhua024-chai-19nn16_v1
model_name: junhua024-chai-19nn16_v1
model_group: junhua024/chai_19nn16
status: torndown
timestamp: 2025-07-28T22:22:44+00:00
num_battles: 5263
num_wins: 2803
celo_rating: 1290.86
family_friendly_score: 0.5166
family_friendly_standard_error: 0.007067169730521547
submission_type: basic
model_repo: junhua024/chai_19nn16
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-19nn16_v1
is_internal_developer: False
language_model: junhua024/chai_19nn16
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5325859775793274
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-19nn16-v1-mkmlizer
Waiting for job on junhua024-chai-19nn16-v1-mkmlizer to finish
junhua024-chai-19nn16-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-19nn16-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn16-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-19nn16-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-19nn16-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-19nn16-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-19nn16-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-19nn16-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-19nn16-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-19nn16-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-19nn16-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn16-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19nn16-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19nn16-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19nn16-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19nn16-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn16-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19nn16-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19nn16-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn16-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19nn16-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19nn16-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19nn16-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn16-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-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-19nn16-v1-mkmlizer: Downloaded to shared memory in 237.848s
junhua024-chai-19nn16-v1-mkmlizer: Checking if junhua024/chai_19nn16 already exists in ChaiML
junhua024-chai-19nn16-v1-mkmlizer: Creating repo ChaiML/chai_19nn16 and uploading /tmp/tmpxd5b0yyd to it
junhua024-chai-19nn16-v1-mkmlizer: 
  0%|          | 0/26 [00:00<?, ?it/s]
  4%|▍         | 1/26 [00:01<00:36,  1.48s/it]
  8%|▊         | 2/26 [00:06<01:30,  3.79s/it]
 12%|█▏        | 3/26 [00:09<01:10,  3.06s/it]
 15%|█▌        | 4/26 [00:10<00:53,  2.42s/it]
 19%|█▉        | 5/26 [00:11<00:43,  2.06s/it]
 23%|██▎       | 6/26 [00:13<00:40,  2.02s/it]
 27%|██▋       | 7/26 [00:15<00:34,  1.82s/it]
 31%|███       | 8/26 [00:16<00:29,  1.66s/it]
 35%|███▍      | 9/26 [00:18<00:28,  1.67s/it]
 38%|███▊      | 10/26 [00:19<00:25,  1.57s/it]
 42%|████▏     | 11/26 [00:21<00:23,  1.55s/it]
 46%|████▌     | 12/26 [00:24<00:28,  2.04s/it]
 50%|█████     | 13/26 [00:25<00:23,  1.82s/it]
 54%|█████▍    | 14/26 [00:27<00:20,  1.74s/it]
 58%|█████▊    | 15/26 [00:28<00:18,  1.67s/it]
 62%|██████▏   | 16/26 [00:30<00:15,  1.60s/it]
 65%|██████▌   | 17/26 [00:36<00:26,  2.97s/it]
 69%|██████▉   | 18/26 [00:41<00:30,  3.77s/it]
 73%|███████▎  | 19/26 [00:43<00:22,  3.15s/it]
 77%|███████▋  | 20/26 [00:45<00:16,  2.81s/it]
 81%|████████  | 21/26 [00:47<00:11,  2.40s/it]
 85%|████████▍ | 22/26 [00:48<00:08,  2.08s/it]
 88%|████████▊ | 23/26 [00:50<00:05,  1.96s/it]
 92%|█████████▏| 24/26 [00:52<00:04,  2.06s/it]
 96%|█████████▌| 25/26 [00:54<00:02,  2.19s/it]
100%|██████████| 26/26 [00:56<00:00,  1.88s/it]
100%|██████████| 26/26 [00:56<00:00,  2.16s/it]
junhua024-chai-19nn16-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpxd5b0yyd, device:0
junhua024-chai-19nn16-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19nn16-v1-mkmlizer: quantized model in 162.708s
junhua024-chai-19nn16-v1-mkmlizer: Processed model junhua024/chai_19nn16 in 487.616s
junhua024-chai-19nn16-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19nn16-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19nn16-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19nn16-v1/nvidia
junhua024-chai-19nn16-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19nn16-v1/nvidia/config.json
junhua024-chai-19nn16-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19nn16-v1/nvidia/special_tokens_map.json
junhua024-chai-19nn16-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19nn16-v1/nvidia/tokenizer_config.json
junhua024-chai-19nn16-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19nn16-v1/nvidia/tokenizer.json
junhua024-chai-19nn16-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19nn16-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-19nn16-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:27, 13.31it/s]
Loading 0:   1%|          | 4/363 [00:02<03:33,  1.68it/s]
Loading 0:   1%|▏         | 5/363 [00:03<04:18,  1.38it/s]
Loading 0:   2%|▏         | 8/363 [00:03<02:16,  2.60it/s]
Loading 0:   2%|▏         | 9/363 [00:03<02:10,  2.71it/s]
Loading 0:   3%|▎         | 10/363 [00:03<01:52,  3.14it/s]
Loading 0:   3%|▎         | 11/363 [00:04<02:46,  2.11it/s]
Loading 0:   3%|▎         | 12/363 [00:05<03:38,  1.61it/s]
Loading 0:   4%|▍         | 14/363 [00:06<02:29,  2.33it/s]
Loading 0:   4%|▍         | 15/363 [00:06<02:16,  2.54it/s]
Loading 0:   4%|▍         | 16/363 [00:06<01:54,  3.02it/s]
Loading 0:   5%|▍         | 17/363 [00:06<01:33,  3.70it/s]
Loading 0:   5%|▍         | 18/363 [00:07<02:36,  2.20it/s]
Loading 0:   6%|▌         | 21/363 [00:08<02:09,  2.64it/s]
Loading 0:   6%|▌         | 22/363 [00:09<02:48,  2.02it/s]
Loading 0:   6%|▋         | 23/363 [00:10<03:28,  1.63it/s]
Loading 0:   7%|▋         | 26/363 [00:10<02:03,  2.73it/s]
Loading 0:   7%|▋         | 27/363 [00:11<01:57,  2.87it/s]
Loading 0:   8%|▊         | 28/363 [00:11<01:41,  3.29it/s]
Loading 0:   8%|▊         | 29/363 [00:12<02:31,  2.21it/s]
Loading 0:   9%|▊         | 31/363 [00:12<01:52,  2.94it/s]
Loading 0:   9%|▉         | 32/363 [00:12<01:48,  3.06it/s]
Loading 0:   9%|▉         | 33/363 [00:13<01:33,  3.54it/s]
Loading 0:  10%|▉         | 35/363 [00:14<02:04,  2.64it/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,  1.91it/s]
Loading 0:  11%|█▏        | 41/363 [00:18<03:22,  1.59it/s]
Loading 0:  12%|█▏        | 44/363 [00:18<02:01,  2.61it/s]
Loading 0:  12%|█▏        | 45/363 [00:18<01:55,  2.76it/s]
Loading 0:  13%|█▎        | 46/363 [00:18<01:39,  3.18it/s]
Loading 0:  13%|█▎        | 48/363 [00:19<01:22,  3.84it/s]
Loading 0:  13%|█▎        | 49/363 [00:19<01:22,  3.79it/s]
Loading 0:  14%|█▍        | 50/363 [00:19<01:12,  4.29it/s]
Loading 0:  14%|█▍        | 52/363 [00:20<01:47,  2.88it/s]
Loading 0:  15%|█▍        | 53/363 [00:21<02:28,  2.08it/s]
Loading 0:  15%|█▍        | 54/363 [00:22<03:08,  1.64it/s]
Loading 0:  16%|█▌        | 57/363 [00:23<02:21,  2.16it/s]
Loading 0:  16%|█▌        | 58/363 [00:24<02:50,  1.79it/s]
Loading 0:  16%|█▋        | 59/363 [00:25<03:21,  1.51it/s]
Loading 0:  17%|█▋        | 62/363 [00:25<02:00,  2.50it/s]
Loading 0:  17%|█▋        | 63/363 [00:26<01:53,  2.65it/s]
Loading 0:  18%|█▊        | 64/363 [00:26<01:37,  3.06it/s]
Loading 0:  18%|█▊        | 66/363 [00:27<01:59,  2.48it/s]
Loading 0:  18%|█▊        | 67/363 [00:28<02:34,  1.92it/s]
Loading 0:  19%|█▊        | 68/363 [00:29<03:09,  1.56it/s]
Loading 0:  20%|█▉        | 71/363 [00:29<01:50,  2.64it/s]
Loading 0:  20%|█▉        | 72/363 [00:29<01:44,  2.78it/s]
Loading 0:  20%|██        | 73/363 [00:30<01:30,  3.21it/s]
Loading 0:  20%|██        | 74/363 [00:31<02:14,  2.15it/s]
Loading 0:  21%|██        | 75/363 [00:32<02:54,  1.65it/s]
Loading 0:  21%|██        | 77/363 [00:32<02:01,  2.36it/s]
Loading 0:  21%|██▏       | 78/363 [00:32<01:51,  2.56it/s]
Loading 0:  22%|██▏       | 79/363 [00:32<01:33,  3.05it/s]
Loading 0:  22%|██▏       | 80/363 [00:33<02:26,  1.93it/s]
Loading 0:  23%|██▎       | 82/363 [00:34<01:44,  2.69it/s]
Loading 0:  23%|██▎       | 83/363 [00:34<01:37,  2.86it/s]
Loading 0:  23%|██▎       | 84/363 [00:34<01:23,  3.36it/s]
Loading 0:  24%|██▎       | 86/363 [00:35<01:44,  2.66it/s]
Loading 0:  25%|██▍       | 89/363 [00:36<01:36,  2.83it/s]
Loading 0:  25%|██▍       | 90/363 [00:37<02:07,  2.14it/s]
Loading 0:  25%|██▌       | 91/363 [00:38<02:39,  1.70it/s]
Loading 0:  26%|██▌       | 94/363 [00:38<01:37,  2.75it/s]
Loading 0:  26%|██▌       | 95/363 [00:39<01:33,  2.87it/s]
Loading 0:  26%|██▋       | 96/363 [00:39<01:21,  3.30it/s]
Loading 0:  27%|██▋       | 98/363 [00:40<01:43,  2.57it/s]
Loading 0:  27%|██▋       | 99/363 [00:41<02:18,  1.90it/s]
Loading 0:  28%|██▊       | 102/363 [00:42<01:51,  2.33it/s]
Loading 0:  28%|██▊       | 103/363 [00:43<02:16,  1.90it/s]
Loading 0:  29%|██▊       | 104/363 [00:44<02:43,  1.59it/s]
Loading 0:  29%|██▉       | 107/363 [00:44<01:39,  2.58it/s]
Loading 0:  30%|██▉       | 108/363 [00:45<01:33,  2.73it/s]
Loading 0:  30%|███       | 109/363 [00:45<01:20,  3.14it/s]
Loading 0:  31%|███       | 111/363 [00:45<01:06,  3.80it/s]
Loading 0:  31%|███       | 112/363 [00:45<01:06,  3.76it/s]
Loading 0:  31%|███       | 113/363 [00:45<00:58,  4.25it/s]
Loading 0:  32%|███▏      | 115/363 [00:47<01:28,  2.81it/s]
Loading 0:  32%|███▏      | 116/363 [00:47<02:00,  2.04it/s]
Loading 0:  32%|███▏      | 117/363 [00:49<02:33,  1.61it/s]
Loading 0:  33%|███▎      | 120/363 [00:49<01:54,  2.13it/s]
Loading 0:  33%|███▎      | 121/363 [00:50<02:16,  1.78it/s]
Loading 0:  34%|███▎      | 122/363 [00:51<02:39,  1.51it/s]
Loading 0:  34%|███▍      | 125/363 [00:52<01:34,  2.51it/s]
Loading 0:  35%|███▍      | 126/363 [00:52<01:29,  2.66it/s]
Loading 0:  35%|███▍      | 127/363 [00:52<01:16,  3.07it/s]
Loading 0:  36%|███▌      | 129/363 [00:53<01:33,  2.49it/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,  2.65it/s]
Loading 0:  37%|███▋      | 135/363 [00:56<01:21,  2.79it/s]
Loading 0:  37%|███▋      | 136/363 [00:56<01:10,  3.21it/s]
Loading 0:  38%|███▊      | 137/363 [00:57<01:45,  2.14it/s]
Loading 0:  38%|███▊      | 138/363 [00:58<02:18,  1.62it/s]
Loading 0:  39%|███▊      | 140/363 [00:58<01:36,  2.31it/s]
Loading 0:  39%|███▉      | 141/363 [00:59<01:28,  2.51it/s]
Loading 0:  39%|███▉      | 142/363 [00:59<01:13,  3.01it/s]
Loading 0:  40%|███▉      | 144/363 [01:00<01:29,  2.44it/s]
Loading 0:  40%|████      | 147/363 [01:01<01:19,  2.72it/s]
Loading 0:  41%|████      | 148/363 [01:02<01:42,  2.11it/s]
Loading 0:  41%|████      | 149/363 [01:03<02:06,  1.69it/s]
Loading 0:  42%|████▏     | 152/363 [01:03<01:17,  2.73it/s]
Loading 0:  42%|████▏     | 153/363 [01:03<01:13,  2.86it/s]
Loading 0:  42%|████▏     | 154/363 [01:04<01:03,  3.28it/s]
Loading 0:  43%|████▎     | 155/363 [01:05<01:34,  2.20it/s]
Loading 0:  43%|████▎     | 157/363 [01:05<01:10,  2.93it/s]
Loading 0:  44%|████▎     | 158/363 [01:05<01:07,  3.05it/s]
Loading 0:  44%|████▍     | 159/363 [01:05<00:57,  3.56it/s]
Loading 0:  44%|████▍     | 161/363 [01:06<01:16,  2.64it/s]
Loading 0:  45%|████▍     | 162/363 [01:07<01:46,  1.89it/s]
Loading 0:  45%|████▌     | 165/363 [01:08<01:24,  2.34it/s]
Loading 0:  46%|████▌     | 166/363 [01:09<01:44,  1.89it/s]
Loading 0:  46%|████▌     | 167/363 [01:10<02:04,  1.57it/s]
Loading 0:  47%|████▋     | 170/363 [01:11<01:14,  2.58it/s]
Loading 0:  47%|████▋     | 171/363 [01:11<01:10,  2.73it/s]
Loading 0:  47%|████▋     | 172/363 [01:11<01:00,  3.15it/s]
Loading 0:  48%|████▊     | 174/363 [01:11<00:49,  3.81it/s]
Loading 0:  48%|████▊     | 175/363 [01:12<00:49,  3.78it/s]
Loading 0:  48%|████▊     | 176/363 [01:12<00:43,  4.28it/s]
Loading 0:  49%|████▉     | 178/363 [01:13<01:03,  2.90it/s]
Loading 0:  49%|████▉     | 179/363 [01:14<01:27,  2.10it/s]
Loading 0:  50%|████▉     | 180/363 [01:15<01:50,  1.65it/s]
Loading 0:  50%|█████     | 183/363 [01:16<01:22,  2.18it/s]
Loading 0:  51%|█████     | 184/363 [01:17<01:38,  1.81it/s]
Loading 0:  51%|█████     | 185/363 [01:18<01:56,  1.53it/s]
Loading 0:  52%|█████▏    | 188/363 [01:18<01:08,  2.55it/s]
Loading 0:  52%|█████▏    | 189/363 [01:18<01:04,  2.70it/s]
Loading 0:  52%|█████▏    | 190/363 [01:18<00:55,  3.10it/s]
Loading 0:  53%|█████▎    | 192/363 [01:20<01:07,  2.53it/s]
Loading 0:  53%|█████▎    | 193/363 [01:20<01:26,  1.96it/s]
Loading 0:  53%|█████▎    | 194/363 [01:21<01:45,  1.60it/s]
Loading 0:  54%|█████▍    | 197/363 [01:22<01:01,  2.71it/s]
Loading 0:  55%|█████▍    | 198/363 [01:22<00:57,  2.85it/s]
Loading 0:  55%|█████▍    | 199/363 [01:22<00:49,  3.29it/s]
Loading 0:  55%|█████▌    | 200/363 [01:23<01:14,  2.20it/s]
Loading 0:  55%|█████▌    | 201/363 [01:24<01:36,  1.69it/s]
Loading 0:  56%|█████▌    | 203/363 [01:24<01:06,  2.40it/s]
Loading 0:  56%|█████▌    | 204/363 [01:25<01:01,  2.60it/s]
Loading 0:  56%|█████▋    | 205/363 [01:25<00:51,  3.10it/s]
Loading 0:  57%|█████▋    | 207/363 [01:26<01:02,  2.50it/s]
Loading 0:  58%|█████▊    | 210/363 [01:27<00:55,  2.77it/s]
Loading 0:  58%|█████▊    | 211/363 [01:28<01:10,  2.14it/s]
Loading 0:  58%|█████▊    | 212/363 [01:29<01:27,  1.72it/s]
Loading 0:  59%|█████▉    | 215/363 [01:29<00:53,  2.77it/s]
Loading 0:  60%|█████▉    | 216/363 [01:29<00:50,  2.89it/s]
Loading 0:  60%|█████▉    | 217/363 [01:30<00:44,  3.31it/s]
Loading 0:  60%|██████    | 218/363 [01:31<01:05,  2.21it/s]
Loading 0:  61%|██████    | 220/363 [01:31<00:48,  2.94it/s]
Loading 0:  61%|██████    | 221/363 [01:31<00:46,  3.07it/s]
Loading 0:  61%|██████    | 222/363 [01:31<00:39,  3.55it/s]
Loading 0:  62%|██████▏   | 224/363 [01:32<00:52,  2.67it/s]
Loading 0:  62%|██████▏   | 225/363 [01:33<01:11,  1.93it/s]
Loading 0:  63%|██████▎   | 228/363 [01:34<00:56,  2.39it/s]
Loading 0:  63%|██████▎   | 229/363 [01:35<01:09,  1.94it/s]
Loading 0:  63%|██████▎   | 230/363 [01:36<01:22,  1.61it/s]
Loading 0:  64%|██████▍   | 233/363 [01:37<00:49,  2.64it/s]
Loading 0:  64%|██████▍   | 234/363 [01:37<00:46,  2.79it/s]
Loading 0:  65%|██████▍   | 235/363 [01:37<00:39,  3.21it/s]
Loading 0:  65%|██████▌   | 237/363 [01:37<00:32,  3.87it/s]
Loading 0:  66%|██████▌   | 238/363 [01:38<00:32,  3.83it/s]
Loading 0:  66%|██████▌   | 239/363 [01:38<00:28,  4.31it/s]
Loading 0:  66%|██████▋   | 241/363 [01:39<00:41,  2.92it/s]
Loading 0:  67%|██████▋   | 242/363 [01:40<00:57,  2.10it/s]
Loading 0:  67%|██████▋   | 243/363 [01:41<01:13,  1.64it/s]
Loading 0:  68%|██████▊   | 246/363 [01:42<00:53,  2.17it/s]
Loading 0:  68%|██████▊   | 247/363 [01:43<01:04,  1.81it/s]
Loading 0:  68%|██████▊   | 248/363 [01:44<01:14,  1.53it/s]
Loading 0:  69%|██████▉   | 251/363 [01:44<00:43,  2.55it/s]
Loading 0:  69%|██████▉   | 252/363 [01:44<00:41,  2.70it/s]
Loading 0:  70%|██████▉   | 253/363 [01:44<00:35,  3.12it/s]
Loading 0:  70%|███████   | 255/363 [01:45<00:42,  2.55it/s]
Loading 0:  71%|███████   | 256/363 [01:46<00:54,  1.97it/s]
Loading 0:  71%|███████   | 257/363 [01:47<01:06,  1.60it/s]
Loading 0:  72%|███████▏  | 260/363 [01:48<00:37,  2.71it/s]
Loading 0:  72%|███████▏  | 261/363 [01:48<00:35,  2.86it/s]
Loading 0:  72%|███████▏  | 262/363 [01:48<00:30,  3.29it/s]
Loading 0:  72%|███████▏  | 263/363 [01:49<00:45,  2.21it/s]
Loading 0:  73%|███████▎  | 264/363 [01:50<00:59,  1.67it/s]
Loading 0:  73%|███████▎  | 266/363 [01:50<00:40,  2.38it/s]
Loading 0:  74%|███████▎  | 267/363 [01:51<00:37,  2.58it/s]
Loading 0:  74%|███████▍  | 268/363 [01:51<00:30,  3.07it/s]
Loading 0:  74%|███████▍  | 270/363 [01:52<00:37,  2.48it/s]
Loading 0:  75%|███████▌  | 273/363 [01:53<00:32,  2.78it/s]
Loading 0:  75%|███████▌  | 274/363 [01:54<00:41,  2.15it/s]
Loading 0:  76%|███████▌  | 275/363 [01:55<00:51,  1.72it/s]
Loading 0:  77%|███████▋  | 278/363 [01:55<00:30,  2.77it/s]
Loading 0:  77%|███████▋  | 279/363 [01:55<00:28,  2.90it/s]
Loading 0:  77%|███████▋  | 280/363 [01:55<00:24,  3.32it/s]
Loading 0:  77%|███████▋  | 281/363 [01:56<00:36,  2.24it/s]
Loading 0:  78%|███████▊  | 283/363 [01:57<00:26,  2.98it/s]
Loading 0:  78%|███████▊  | 284/363 [01:57<00:25,  3.11it/s]
Loading 0:  79%|███████▊  | 285/363 [01:57<00:21,  3.62it/s]
Loading 0:  79%|███████▉  | 287/363 [01:58<00:28,  2.70it/s]
Loading 0:  79%|███████▉  | 288/363 [01:59<00:38,  1.95it/s]
Loading 0:  80%|████████  | 291/363 [02:00<00:29,  2.41it/s]
Loading 0:  80%|████████  | 292/363 [02:01<00:36,  1.94it/s]
Loading 0:  81%|████████  | 293/363 [02:02<00:43,  1.61it/s]
Loading 0:  82%|████████▏ | 296/363 [02:02<00:25,  2.64it/s]
Loading 0:  82%|████████▏ | 297/363 [02:03<00:23,  2.78it/s]
Loading 0:  82%|████████▏ | 298/363 [02:03<00:20,  3.20it/s]
Loading 0:  83%|████████▎ | 300/363 [02:03<00:16,  3.86it/s]
Loading 0:  83%|████████▎ | 301/363 [02:03<00:16,  3.82it/s]
Loading 0:  83%|████████▎ | 302/363 [02:04<00:14,  4.32it/s]
Loading 0:  84%|████████▎ | 304/363 [02:05<00:20,  2.92it/s]
Loading 0:  84%|████████▍ | 305/363 [02:05<00:27,  2.11it/s]
Loading 0:  84%|████████▍ | 306/363 [02:07<00:34,  1.66it/s]
Loading 0:  85%|████████▌ | 309/363 [02:07<00:24,  2.20it/s]
Loading 0:  85%|████████▌ | 310/363 [02:08<00:29,  1.82it/s]
Loading 0:  86%|████████▌ | 311/363 [02:09<00:34,  1.53it/s]
Loading 0:  87%|████████▋ | 314/363 [02:10<00:19,  2.55it/s]
Loading 0:  87%|████████▋ | 315/363 [02:10<00:17,  2.70it/s]
Loading 0:  87%|████████▋ | 316/363 [02:10<00:15,  3.08it/s]
Loading 0:  88%|████████▊ | 318/363 [02:11<00:17,  2.51it/s]
Loading 0:  88%|████████▊ | 319/363 [02:12<00:22,  1.93it/s]
Loading 0:  88%|████████▊ | 320/363 [02:13<00:27,  1.57it/s]
Loading 0:  89%|████████▉ | 323/363 [02:14<00:15,  2.66it/s]
Loading 0:  89%|████████▉ | 324/363 [02:14<00:13,  2.81it/s]
Loading 0:  90%|████████▉ | 325/363 [02:14<00:11,  3.23it/s]
Loading 0:  90%|████████▉ | 326/363 [02:15<00:16,  2.18it/s]
Loading 0:  90%|█████████ | 327/363 [02:16<00:21,  1.68it/s]
Loading 0:  91%|█████████ | 329/363 [02:16<00:14,  2.39it/s]
Loading 0:  91%|█████████ | 330/363 [02:17<00:12,  2.59it/s]
Loading 0:  91%|█████████ | 331/363 [02:17<00:10,  3.07it/s]
Loading 0:  92%|█████████▏| 333/363 [02:18<00:12,  2.47it/s]
Loading 0:  93%|█████████▎| 336/363 [02:19<00:09,  2.76it/s]
Loading 0:  93%|█████████▎| 337/363 [02:20<00:12,  2.13it/s]
Loading 0:  93%|█████████▎| 338/363 [02:21<00:14,  1.71it/s]
Loading 0:  94%|█████████▍| 341/363 [02:21<00:08,  2.74it/s]
Loading 0:  94%|█████████▍| 342/363 [02:21<00:07,  2.87it/s]
Loading 0:  94%|█████████▍| 343/363 [02:21<00:06,  3.25it/s]
Loading 0:  95%|█████████▍| 344/363 [02:22<00:08,  2.20it/s]
Loading 0:  95%|█████████▌| 346/363 [02:23<00:05,  2.92it/s]
Loading 0:  96%|█████████▌| 347/363 [02:23<00:05,  3.05it/s]
Loading 0:  96%|█████████▌| 348/363 [02:23<00:04,  3.55it/s]
Loading 0:  96%|█████████▌| 349/363 [02:23<00:03,  3.56it/s]
Loading 0:  96%|█████████▋| 350/363 [02:23<00:03,  4.27it/s]
Loading 0:  97%|█████████▋| 351/363 [02:24<00:05,  2.31it/s]
Loading 0:  97%|█████████▋| 352/363 [02:25<00:06,  1.68it/s]
Loading 0:  98%|█████████▊| 355/363 [02:26<00:03,  2.25it/s]
Loading 0:  98%|█████████▊| 356/363 [02:27<00:03,  1.82it/s]
Loading 0:  98%|█████████▊| 357/363 [02:28<00:03,  1.53it/s]
Loading 0:  99%|█████████▉| 360/363 [02:29<00:01,  2.60it/s]
Loading 0:  99%|█████████▉| 361/363 [02:29<00:00,  2.75it/s]
Loading 0: 100%|█████████▉| 362/363 [02:29<00:00,  3.17it/s]
                                                            
Job junhua024-chai-19nn16-v1-mkmlizer completed after 517.64s with status: succeeded
Stopping job with name junhua024-chai-19nn16-v1-mkmlizer
Pipeline stage MKMLizer completed in 518.23s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-19nn16-v1
Waiting for inference service junhua024-chai-19nn16-v1 to be ready
Inference service junhua024-chai-19nn16-v1 ready after 230.79292678833008s
Pipeline stage MKMLDeployer completed in 231.63s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2147037982940674s
Received healthy response to inference request in 2.207097053527832s
Received healthy response to inference request in 1.5398805141448975s
Received healthy response to inference request in 1.6564786434173584s
Received healthy response to inference request in 2.538900852203369s
5 requests
0 failed requests
5th percentile: 1.5632001399993896
10th percentile: 1.5865197658538819
20th percentile: 1.6331590175628663
30th percentile: 1.7666023254394532
40th percentile: 1.9868496894836427
50th percentile: 2.207097053527832
60th percentile: 2.210139751434326
70th percentile: 2.2131824493408203
80th percentile: 2.279543209075928
90th percentile: 2.4092220306396483
95th percentile: 2.4740614414215085
99th percentile: 2.525932970046997
mean time: 2.0314121723175047
Pipeline stage StressChecker completed in 11.81s
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 0.72s
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 1.14s
Shutdown handler de-registered
junhua024-chai-19nn16_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 3256.52s
Shutdown handler de-registered
junhua024-chai-19nn16_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19nn16_v1 status is now torndown due to DeploymentManager action