junhua024-chai-19cl-full-0022

developer_uid: junhua024
submission_id: junhua024-chai-19cl-full-0022_v7
model_name: junhua024-chai-19cl-full-0022_v7
model_group: junhua024/chai_19cl-full
status: torndown
timestamp: 2025-07-28T08:07:33+00:00
num_battles: 6084
num_wins: 3292
celo_rating: 1296.73
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: junhua024/chai_19cl-full_0022
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-19cl-full-0022_v7
is_internal_developer: False
language_model: junhua024/chai_19cl-full_0022
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5410913872452334
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-19cl-full-0022-v7-mkmlizer
Waiting for job on junhua024-chai-19cl-full-0022-v7-mkmlizer to finish
junhua024-chai-19cl-full-0022-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-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-19cl-full-0022-v7-mkmlizer: Downloaded to shared memory in 106.884s
junhua024-chai-19cl-full-0022-v7-mkmlizer: Checking if junhua024/chai_19cl-full_0022 already exists in ChaiML
junhua024-chai-19cl-full-0022-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpj5usi82r, device:0
junhua024-chai-19cl-full-0022-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19cl-full-0022-v7-mkmlizer: quantized model in 163.192s
junhua024-chai-19cl-full-0022-v7-mkmlizer: Processed model junhua024/chai_19cl-full_0022 in 270.156s
junhua024-chai-19cl-full-0022-v7-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19cl-full-0022-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19cl-full-0022-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v7/nvidia
junhua024-chai-19cl-full-0022-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v7/nvidia/config.json
junhua024-chai-19cl-full-0022-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v7/nvidia/special_tokens_map.json
junhua024-chai-19cl-full-0022-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v7/nvidia/tokenizer_config.json
junhua024-chai-19cl-full-0022-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v7/nvidia/tokenizer.json
junhua024-chai-19cl-full-0022-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v7/nvidia/flywheel_model.0.safetensors
junhua024-chai-19cl-full-0022-v7-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:18, 19.13it/s]
Loading 0:   1%|          | 4/363 [00:02<03:33,  1.68it/s]
Loading 0:   1%|▏         | 5/363 [00:03<04:22,  1.36it/s]
Loading 0:   2%|▏         | 8/363 [00:03<02:18,  2.56it/s]
Loading 0:   2%|▏         | 9/363 [00:03<02:13,  2.66it/s]
Loading 0:   3%|▎         | 10/363 [00:03<01:54,  3.07it/s]
Loading 0:   3%|▎         | 11/363 [00:04<02:50,  2.07it/s]
Loading 0:   3%|▎         | 12/363 [00:05<03:39,  1.60it/s]
Loading 0:   4%|▍         | 14/363 [00:06<02:31,  2.31it/s]
Loading 0:   4%|▍         | 15/363 [00:06<02:18,  2.52it/s]
Loading 0:   4%|▍         | 16/363 [00:06<01:55,  2.99it/s]
Loading 0:   5%|▍         | 18/363 [00:07<02:22,  2.42it/s]
Loading 0:   6%|▌         | 21/363 [00:08<02:06,  2.70it/s]
Loading 0:   6%|▌         | 22/363 [00:09<02:43,  2.08it/s]
Loading 0:   6%|▋         | 23/363 [00:10<03:23,  1.67it/s]
Loading 0:   7%|▋         | 26/363 [00:11<02:05,  2.70it/s]
Loading 0:   7%|▋         | 27/363 [00:11<01:58,  2.83it/s]
Loading 0:   8%|▊         | 28/363 [00:11<01:43,  3.22it/s]
Loading 0:   8%|▊         | 29/363 [00:12<02:33,  2.18it/s]
Loading 0:   9%|▊         | 31/363 [00:12<01:54,  2.90it/s]
Loading 0:   9%|▉         | 32/363 [00:13<01:49,  3.03it/s]
Loading 0:   9%|▉         | 33/363 [00:13<01:34,  3.49it/s]
Loading 0:  10%|▉         | 35/363 [00:14<02:05,  2.62it/s]
Loading 0:  10%|▉         | 36/363 [00:15<02:53,  1.89it/s]
Loading 0:  11%|█         | 39/363 [00:16<02:18,  2.34it/s]
Loading 0:  11%|█         | 40/363 [00:17<02:50,  1.89it/s]
Loading 0:  11%|█▏        | 41/363 [00:18<03:26,  1.56it/s]
Loading 0:  12%|█▏        | 44/363 [00:18<02:04,  2.57it/s]
Loading 0:  12%|█▏        | 45/363 [00:18<01:57,  2.71it/s]
Loading 0:  13%|█▎        | 46/363 [00:19<01:42,  3.10it/s]
Loading 0:  13%|█▎        | 48/363 [00:19<01:23,  3.77it/s]
Loading 0:  13%|█▎        | 49/363 [00:19<01:24,  3.73it/s]
Loading 0:  14%|█▍        | 50/363 [00:19<01:14,  4.23it/s]
Loading 0:  14%|█▍        | 52/363 [00:20<01:49,  2.84it/s]
Loading 0:  15%|█▍        | 53/363 [00:21<02:30,  2.06it/s]
Loading 0:  15%|█▍        | 54/363 [00:22<03:11,  1.62it/s]
Loading 0:  16%|█▌        | 57/363 [00:23<02:23,  2.14it/s]
Loading 0:  16%|█▌        | 58/363 [00:24<02:52,  1.76it/s]
Loading 0:  16%|█▋        | 59/363 [00:25<03:23,  1.50it/s]
Loading 0:  17%|█▋        | 62/363 [00:26<02:00,  2.49it/s]
Loading 0:  17%|█▋        | 63/363 [00:26<01:53,  2.65it/s]
Loading 0:  18%|█▊        | 64/363 [00:26<01:37,  3.07it/s]
Loading 0:  18%|█▊        | 66/363 [00:27<01:58,  2.50it/s]
Loading 0:  18%|█▊        | 67/363 [00:28<02:34,  1.92it/s]
Loading 0:  19%|█▊        | 68/363 [00:29<03:09,  1.55it/s]
Loading 0:  20%|█▉        | 71/363 [00:30<01:50,  2.63it/s]
Loading 0:  20%|█▉        | 72/363 [00:30<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<02:55,  1.64it/s]
Loading 0:  21%|██        | 77/363 [00:32<02:01,  2.35it/s]
Loading 0:  21%|██▏       | 78/363 [00:33<01:51,  2.56it/s]
Loading 0:  22%|██▏       | 79/363 [00:33<01:32,  3.06it/s]
Loading 0:  22%|██▏       | 80/363 [00:34<02:25,  1.94it/s]
Loading 0:  23%|██▎       | 82/363 [00:34<01:43,  2.72it/s]
Loading 0:  23%|██▎       | 83/363 [00:34<01:36,  2.89it/s]
Loading 0:  23%|██▎       | 84/363 [00:34<01:21,  3.42it/s]
Loading 0:  24%|██▎       | 86/363 [00:35<01:43,  2.68it/s]
Loading 0:  25%|██▍       | 89/363 [00:36<01:35,  2.86it/s]
Loading 0:  25%|██▍       | 90/363 [00:37<02:06,  2.16it/s]
Loading 0:  25%|██▌       | 91/363 [00:38<02:39,  1.71it/s]
Loading 0:  26%|██▌       | 94/363 [00:39<01:38,  2.74it/s]
Loading 0:  26%|██▌       | 95/363 [00:39<01:33,  2.87it/s]
Loading 0:  26%|██▋       | 96/363 [00:39<01:22,  3.24it/s]
Loading 0:  27%|██▋       | 98/363 [00:40<01:43,  2.56it/s]
Loading 0:  27%|██▋       | 99/363 [00:41<02:18,  1.91it/s]
Loading 0:  28%|██▊       | 102/363 [00:42<01:52,  2.33it/s]
Loading 0:  28%|██▊       | 103/363 [00:43<02:17,  1.90it/s]
Loading 0:  29%|██▊       | 104/363 [00:44<02:44,  1.58it/s]
Loading 0:  29%|██▉       | 107/363 [00:45<01:39,  2.57it/s]
Loading 0:  30%|██▉       | 108/363 [00:45<01:33,  2.72it/s]
Loading 0:  30%|███       | 109/363 [00:45<01:21,  3.12it/s]
Loading 0:  31%|███       | 111/363 [00:45<01:06,  3.77it/s]
Loading 0:  31%|███       | 112/363 [00:46<01:07,  3.74it/s]
Loading 0:  31%|███       | 113/363 [00:46<00:58,  4.24it/s]
Loading 0:  32%|███▏      | 115/363 [00:47<01:26,  2.87it/s]
Loading 0:  32%|███▏      | 116/363 [00:48<01:59,  2.06it/s]
Loading 0:  32%|███▏      | 117/363 [00:49<02:31,  1.62it/s]
Loading 0:  33%|███▎      | 120/363 [00:50<01:53,  2.14it/s]
Loading 0:  33%|███▎      | 121/363 [00:51<02:16,  1.78it/s]
Loading 0:  34%|███▎      | 122/363 [00:52<02:40,  1.50it/s]
Loading 0:  34%|███▍      | 125/363 [00:52<01:35,  2.50it/s]
Loading 0:  35%|███▍      | 126/363 [00:52<01:29,  2.66it/s]
Loading 0:  35%|███▍      | 127/363 [00:53<01:16,  3.07it/s]
Loading 0:  36%|███▌      | 129/363 [00:54<01:33,  2.50it/s]
Loading 0:  36%|███▌      | 130/363 [00:55<02:00,  1.93it/s]
Loading 0:  36%|███▌      | 131/363 [00:56<02:27,  1.57it/s]
Loading 0:  37%|███▋      | 134/363 [00:56<01:26,  2.66it/s]
Loading 0:  37%|███▋      | 135/363 [00:56<01:21,  2.80it/s]
Loading 0:  37%|███▋      | 136/363 [00:56<01:10,  3.24it/s]
Loading 0:  38%|███▊      | 137/363 [00:57<01:44,  2.16it/s]
Loading 0:  38%|███▊      | 138/363 [00:58<02:17,  1.64it/s]
Loading 0:  39%|███▊      | 140/363 [00:59<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,  3.03it/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,  2.09it/s]
Loading 0:  41%|████      | 149/363 [01:03<02:07,  1.68it/s]
Loading 0:  42%|████▏     | 152/363 [01:03<01:17,  2.71it/s]
Loading 0:  42%|████▏     | 153/363 [01:04<01:13,  2.84it/s]
Loading 0:  42%|████▏     | 154/363 [01:04<01:03,  3.27it/s]
Loading 0:  43%|████▎     | 155/363 [01:05<01:34,  2.19it/s]
Loading 0:  43%|████▎     | 157/363 [01:05<01:10,  2.94it/s]
Loading 0:  44%|████▎     | 158/363 [01:05<01:06,  3.07it/s]
Loading 0:  44%|████▍     | 159/363 [01:06<00:56,  3.60it/s]
Loading 0:  44%|████▍     | 161/363 [01:07<01:16,  2.64it/s]
Loading 0:  45%|████▍     | 162/363 [01:08<01:45,  1.90it/s]
Loading 0:  45%|████▌     | 165/363 [01:09<01:24,  2.34it/s]
Loading 0:  46%|████▌     | 166/363 [01:10<01:44,  1.88it/s]
Loading 0:  46%|████▌     | 167/363 [01:11<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,  2.72it/s]
Loading 0:  47%|████▋     | 172/363 [01:11<01:00,  3.15it/s]
Loading 0:  48%|████▊     | 174/363 [01:12<00:49,  3.81it/s]
Loading 0:  48%|████▊     | 175/363 [01:12<00:49,  3.77it/s]
Loading 0:  48%|████▊     | 176/363 [01:12<00:43,  4.29it/s]
Loading 0:  49%|████▉     | 178/363 [01:13<01:04,  2.88it/s]
Loading 0:  49%|████▉     | 179/363 [01:14<01:28,  2.07it/s]
Loading 0:  50%|████▉     | 180/363 [01:15<01:52,  1.62it/s]
Loading 0:  50%|█████     | 183/363 [01:16<01:23,  2.15it/s]
Loading 0:  51%|█████     | 184/363 [01:17<01:40,  1.78it/s]
Loading 0:  51%|█████     | 185/363 [01:18<01:57,  1.51it/s]
Loading 0:  52%|█████▏    | 188/363 [01:18<01:09,  2.53it/s]
Loading 0:  52%|█████▏    | 189/363 [01:19<01:05,  2.68it/s]
Loading 0:  52%|█████▏    | 190/363 [01:19<00:55,  3.10it/s]
Loading 0:  53%|█████▎    | 192/363 [01:20<01:08,  2.50it/s]
Loading 0:  53%|█████▎    | 193/363 [01:21<01:28,  1.93it/s]
Loading 0:  53%|█████▎    | 194/363 [01:22<01:47,  1.57it/s]
Loading 0:  54%|█████▍    | 197/363 [01:22<01:02,  2.67it/s]
Loading 0:  55%|█████▍    | 198/363 [01:22<00:58,  2.81it/s]
Loading 0:  55%|█████▍    | 199/363 [01:23<00:50,  3.26it/s]
Loading 0:  55%|█████▌    | 200/363 [01:24<01:14,  2.17it/s]
Loading 0:  55%|█████▌    | 201/363 [01:25<01:37,  1.66it/s]
Loading 0:  56%|█████▌    | 203/363 [01:25<01:07,  2.38it/s]
Loading 0:  56%|█████▌    | 204/363 [01:25<01:01,  2.58it/s]
Loading 0:  56%|█████▋    | 205/363 [01:25<00:51,  3.09it/s]
Loading 0:  57%|█████▋    | 207/363 [01:26<01:03,  2.45it/s]
Loading 0:  58%|█████▊    | 210/363 [01:27<00:56,  2.72it/s]
Loading 0:  58%|█████▊    | 211/363 [01:28<01:12,  2.09it/s]
Loading 0:  58%|█████▊    | 212/363 [01:29<01:29,  1.68it/s]
Loading 0:  59%|█████▉    | 215/363 [01:30<00:54,  2.71it/s]
Loading 0:  60%|█████▉    | 216/363 [01:30<00:51,  2.84it/s]
Loading 0:  60%|█████▉    | 217/363 [01:30<00:44,  3.25it/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,  3.55it/s]
Loading 0:  62%|██████▏   | 224/363 [01:33<00:52,  2.64it/s]
Loading 0:  62%|██████▏   | 225/363 [01:34<01:12,  1.89it/s]
Loading 0:  63%|██████▎   | 228/363 [01:35<00:57,  2.34it/s]
Loading 0:  63%|██████▎   | 229/363 [01:36<01:10,  1.89it/s]
Loading 0:  63%|██████▎   | 230/363 [01:37<01:24,  1.58it/s]
Loading 0:  64%|██████▍   | 233/363 [01:37<00:50,  2.60it/s]
Loading 0:  64%|██████▍   | 234/363 [01:38<00:47,  2.74it/s]
Loading 0:  65%|██████▍   | 235/363 [01:38<00:40,  3.17it/s]
Loading 0:  65%|██████▌   | 237/363 [01:38<00:32,  3.84it/s]
Loading 0:  66%|██████▌   | 238/363 [01:38<00:32,  3.79it/s]
Loading 0:  66%|██████▌   | 239/363 [01:38<00:28,  4.29it/s]
Loading 0:  66%|██████▋   | 241/363 [01:39<00:42,  2.87it/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,  1.52it/s]
Loading 0:  69%|██████▉   | 251/363 [01:45<00:44,  2.53it/s]
Loading 0:  69%|██████▉   | 252/363 [01:45<00:41,  2.69it/s]
Loading 0:  70%|██████▉   | 253/363 [01:45<00:35,  3.09it/s]
Loading 0:  70%|███████   | 255/363 [01:46<00:42,  2.53it/s]
Loading 0:  71%|███████   | 256/363 [01:47<00:54,  1.95it/s]
Loading 0:  71%|███████   | 257/363 [01:48<01:06,  1.59it/s]
Loading 0:  72%|███████▏  | 260/363 [01:48<00:38,  2.69it/s]
Loading 0:  72%|███████▏  | 261/363 [01:49<00:36,  2.83it/s]
Loading 0:  72%|███████▏  | 262/363 [01:49<00:30,  3.28it/s]
Loading 0:  72%|███████▏  | 263/363 [01:50<00:45,  2.18it/s]
Loading 0:  73%|███████▎  | 264/363 [01:51<00:59,  1.67it/s]
Loading 0:  73%|███████▎  | 266/363 [01:51<00:40,  2.38it/s]
Loading 0:  74%|███████▎  | 267/363 [01:51<00:37,  2.58it/s]
Loading 0:  74%|███████▍  | 268/363 [01:52<00:30,  3.09it/s]
Loading 0:  74%|███████▍  | 270/363 [01:53<00:37,  2.48it/s]
Loading 0:  75%|███████▌  | 273/363 [01:54<00:32,  2.74it/s]
Loading 0:  75%|███████▌  | 274/363 [01:54<00:42,  2.12it/s]
Loading 0:  76%|███████▌  | 275/363 [01:56<00:51,  1.71it/s]
Loading 0:  77%|███████▋  | 278/363 [01:56<00:30,  2.75it/s]
Loading 0:  77%|███████▋  | 279/363 [01:56<00:29,  2.88it/s]
Loading 0:  77%|███████▋  | 280/363 [01:56<00:25,  3.30it/s]
Loading 0:  77%|███████▋  | 281/363 [01:57<00:37,  2.21it/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,  3.57it/s]
Loading 0:  79%|███████▉  | 287/363 [01:59<00:28,  2.65it/s]
Loading 0:  79%|███████▉  | 288/363 [02:00<00:39,  1.91it/s]
Loading 0:  80%|████████  | 291/363 [02:01<00:30,  2.36it/s]
Loading 0:  80%|████████  | 292/363 [02:02<00:37,  1.90it/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<00:24,  2.75it/s]
Loading 0:  82%|████████▏ | 298/363 [02:04<00:20,  3.16it/s]
Loading 0:  83%|████████▎ | 300/363 [02:04<00:16,  3.82it/s]
Loading 0:  83%|████████▎ | 301/363 [02:04<00:16,  3.78it/s]
Loading 0:  83%|████████▎ | 302/363 [02:04<00:14,  4.31it/s]
Loading 0:  84%|████████▎ | 304/363 [02:05<00:20,  2.90it/s]
Loading 0:  84%|████████▍ | 305/363 [02:06<00:27,  2.09it/s]
Loading 0:  84%|████████▍ | 306/363 [02:07<00:34,  1.65it/s]
Loading 0:  85%|████████▌ | 309/363 [02:08<00:24,  2.17it/s]
Loading 0:  85%|████████▌ | 310/363 [02:09<00:29,  1.79it/s]
Loading 0:  86%|████████▌ | 311/363 [02:10<00:34,  1.51it/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,  3.11it/s]
Loading 0:  88%|████████▊ | 318/363 [02:12<00:17,  2.53it/s]
Loading 0:  88%|████████▊ | 319/363 [02:13<00:22,  1.95it/s]
Loading 0:  88%|████████▊ | 320/363 [02:14<00:27,  1.59it/s]
Loading 0:  89%|████████▉ | 323/363 [02:14<00:14,  2.69it/s]
Loading 0:  89%|████████▉ | 324/363 [02:15<00:13,  2.83it/s]
Loading 0:  90%|████████▉ | 325/363 [02:15<00:11,  3.27it/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,  2.38it/s]
Loading 0:  91%|█████████ | 330/363 [02:17<00:12,  2.58it/s]
Loading 0:  91%|█████████ | 331/363 [02:18<00:10,  3.07it/s]
Loading 0:  92%|█████████▏| 333/363 [02:19<00:12,  2.46it/s]
Loading 0:  93%|█████████▎| 336/363 [02:20<00:09,  2.74it/s]
Loading 0:  93%|█████████▎| 337/363 [02:21<00:12,  2.11it/s]
Loading 0:  93%|█████████▎| 338/363 [02:22<00:14,  1.69it/s]
Loading 0:  94%|█████████▍| 341/363 [02:22<00:08,  2.72it/s]
Loading 0:  94%|█████████▍| 342/363 [02:22<00:07,  2.85it/s]
Loading 0:  94%|█████████▍| 343/363 [02:22<00:06,  3.26it/s]
Loading 0:  95%|█████████▍| 344/363 [02:23<00:08,  2.20it/s]
Loading 0:  95%|█████████▌| 346/363 [02:24<00:05,  2.92it/s]
Loading 0:  96%|█████████▌| 347/363 [02:24<00:05,  3.05it/s]
Loading 0:  96%|█████████▌| 348/363 [02:24<00:04,  3.55it/s]
Loading 0:  96%|█████████▌| 349/363 [02:24<00:03,  3.62it/s]
Loading 0:  97%|█████████▋| 351/363 [02:25<00:04,  2.61it/s]
Loading 0:  97%|█████████▋| 352/363 [02:26<00:05,  1.89it/s]
Loading 0:  98%|█████████▊| 355/363 [02:27<00:03,  2.33it/s]
Loading 0:  98%|█████████▊| 356/363 [02:28<00:03,  1.89it/s]
Loading 0:  98%|█████████▊| 357/363 [02:29<00:03,  1.57it/s]
Loading 0:  99%|█████████▉| 360/363 [02:30<00:01,  2.59it/s]
Loading 0:  99%|█████████▉| 361/363 [02:30<00:00,  2.74it/s]
Loading 0: 100%|█████████▉| 362/363 [02:30<00:00,  3.17it/s]
                                                            
Job junhua024-chai-19cl-full-0022-v7-mkmlizer completed after 293.61s with status: succeeded
Stopping job with name junhua024-chai-19cl-full-0022-v7-mkmlizer
Pipeline stage MKMLizer completed in 294.11s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.50s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-19cl-full-0022-v7
Waiting for inference service junhua024-chai-19cl-full-0022-v7 to be ready
Inference service junhua024-chai-19cl-full-0022-v7 ready after 201.79207158088684s
Pipeline stage MKMLDeployer completed in 202.37s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2112088203430176s
Received healthy response to inference request in 1.607018232345581s
Received healthy response to inference request in 1.7223012447357178s
Received healthy response to inference request in 1.8122682571411133s
Received healthy response to inference request in 1.6301326751708984s
5 requests
0 failed requests
5th percentile: 1.6116411209106445
10th percentile: 1.616264009475708
20th percentile: 1.625509786605835
30th percentile: 1.6485663890838622
40th percentile: 1.68543381690979
50th percentile: 1.7223012447357178
60th percentile: 1.7582880496978759
70th percentile: 1.7942748546600342
80th percentile: 1.8920563697814943
90th percentile: 2.051632595062256
95th percentile: 2.131420707702637
99th percentile: 2.1952511978149416
mean time: 1.7965858459472657
Pipeline stage StressChecker completed in 10.42s
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 0.69s
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 1.06s
Shutdown handler de-registered
junhua024-chai-19cl-full-0022_v7 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-19cl-full-0022-v7-profiler
Waiting for inference service junhua024-chai-19cl-full-0022-v7-profiler to be ready
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
junhua024-chai-19cl-full-0022_v7 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19cl-full-0022_v7 status is now torndown due to DeploymentManager action