junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v22
model_name: junhua024-chai-02-full_54657_v22
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T19:04:31+00:00
num_battles: 6923
num_wins: 3553
celo_rating: 1296.14
family_friendly_score: 0.41779999999999995
family_friendly_standard_error: 0.006974857131153297
submission_type: basic
model_repo: junhua024/chai_02_full_02_019
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 4096
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.3710476107983331, 'latency_mean': 2.69494113445282, 'latency_p50': 2.6939746141433716, 'latency_p90': 2.860683631896973}, {'batch_size': 2, 'throughput': 0.4524638722012303, 'latency_mean': 4.419525386095047, 'latency_p50': 4.403157114982605, 'latency_p90': 4.731098079681397}, {'batch_size': 3, 'throughput': 0.48868147447096966, 'latency_mean': 6.131417099237442, 'latency_p50': 6.151231408119202, 'latency_p90': 6.638840436935425}, {'batch_size': 5, 'throughput': 0.5158709286977001, 'latency_mean': 9.67175290465355, 'latency_p50': 9.71373975276947, 'latency_p90': 10.858185648918152}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v22
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 0.43
us_pacific_date: 2025-07-24
win_ratio: 0.5132168135201503
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': 4096, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{memory} You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity.", '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-02-full-54657-v22-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v22-mkmlizer to finish
junhua024-chai-02-full-54657-v22-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-54657-v22-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v22-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v22-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-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-02-full-54657-v22-mkmlizer: Downloaded to shared memory in 77.337s
junhua024-chai-02-full-54657-v22-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v22-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpl3_lc4wr, device:0
junhua024-chai-02-full-54657-v22-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission blend_defol_2025-07-24: HTTPConnectionPool(host='guanaco-model-mesh.k2.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-02-full-54657-v22-mkmlizer: quantized model in 161.986s
junhua024-chai-02-full-54657-v22-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 239.411s
junhua024-chai-02-full-54657-v22-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v22-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v22-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v22/nvidia
junhua024-chai-02-full-54657-v22-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v22/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v22-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v22/nvidia/config.json
junhua024-chai-02-full-54657-v22-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v22/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v22-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v22/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-54657-v22-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:20, 17.76it/s]
Loading 0:   1%|          | 4/363 [00:02<03:32,  1.69it/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,  3.08it/s]
Loading 0:   3%|▎         | 11/363 [00:04<02:49,  2.08it/s]
Loading 0:   3%|▎         | 12/363 [00:05<03:38,  1.61it/s]
Loading 0:   4%|▍         | 14/363 [00:06<02:30,  2.33it/s]
Loading 0:   4%|▍         | 15/363 [00:06<02:17,  2.53it/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,  2.71it/s]
Loading 0:   6%|▌         | 22/363 [00:09<02:42,  2.10it/s]
Loading 0:   6%|▋         | 23/363 [00:10<03:22,  1.68it/s]
Loading 0:   7%|▋         | 26/363 [00:11<02:04,  2.71it/s]
Loading 0:   7%|▋         | 27/363 [00:11<01:58,  2.85it/s]
Loading 0:   8%|▊         | 28/363 [00:11<01:42,  3.26it/s]
Loading 0:   8%|▊         | 29/363 [00:12<02:32,  2.19it/s]
Loading 0:   9%|▊         | 31/363 [00:12<01:54,  2.91it/s]
Loading 0:   9%|▉         | 32/363 [00:13<01:49,  3.04it/s]
Loading 0:   9%|▉         | 33/363 [00:13<01:33,  3.52it/s]
Loading 0:  10%|▉         | 35/363 [00:14<02:04,  2.64it/s]
Loading 0:  10%|▉         | 36/363 [00:15<02:52,  1.90it/s]
Loading 0:  11%|█         | 39/363 [00:16<02:17,  2.35it/s]
Loading 0:  11%|█         | 40/363 [00:17<02:49,  1.90it/s]
Loading 0:  11%|█▏        | 41/363 [00:18<03:23,  1.58it/s]
Loading 0:  12%|█▏        | 44/363 [00:18<02:02,  2.60it/s]
Loading 0:  12%|█▏        | 45/363 [00:18<01:56,  2.74it/s]
Loading 0:  13%|█▎        | 46/363 [00:18<01:40,  3.16it/s]
Loading 0:  13%|█▎        | 48/363 [00:19<01:22,  3.80it/s]
Loading 0:  13%|█▎        | 49/363 [00:19<01:23,  3.76it/s]
Loading 0:  14%|█▍        | 50/363 [00:19<01:14,  4.20it/s]
Loading 0:  14%|█▍        | 52/363 [00:20<01:48,  2.86it/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<02:22,  2.14it/s]
Loading 0:  16%|█▌        | 58/363 [00:24<02:51,  1.78it/s]
Loading 0:  16%|█▋        | 59/363 [00:25<03:22,  1.50it/s]
Loading 0:  17%|█▋        | 62/363 [00:26<02:00,  2.50it/s]
Loading 0:  17%|█▋        | 63/363 [00:26<01:52,  2.66it/s]
Loading 0:  18%|█▊        | 64/363 [00:26<01:37,  3.08it/s]
Loading 0:  18%|█▊        | 66/363 [00:27<01:57,  2.52it/s]
Loading 0:  18%|█▊        | 67/363 [00:28<02:32,  1.94it/s]
Loading 0:  19%|█▊        | 68/363 [00:29<03:06,  1.58it/s]
Loading 0:  20%|█▉        | 71/363 [00:29<01:49,  2.68it/s]
Loading 0:  20%|█▉        | 72/363 [00:30<01:43,  2.82it/s]
Loading 0:  20%|██        | 73/363 [00:30<01:28,  3.26it/s]
Loading 0:  20%|██        | 74/363 [00:31<02:12,  2.18it/s]
Loading 0:  21%|██        | 75/363 [00:32<02:54,  1.65it/s]
Loading 0:  21%|██        | 77/363 [00:32<02:00,  2.36it/s]
Loading 0:  21%|██▏       | 78/363 [00:32<01:51,  2.57it/s]
Loading 0:  22%|██▏       | 79/363 [00:32<01:32,  3.07it/s]
Loading 0:  22%|██▏       | 80/363 [00:34<02:25,  1.95it/s]
Loading 0:  23%|██▎       | 82/363 [00:34<01:42,  2.74it/s]
Loading 0:  23%|██▎       | 83/363 [00:34<01:36,  2.91it/s]
Loading 0:  23%|██▎       | 84/363 [00:34<01:21,  3.43it/s]
Loading 0:  24%|██▎       | 86/363 [00:35<01:42,  2.70it/s]
Loading 0:  25%|██▍       | 89/363 [00:36<01:35,  2.88it/s]
Loading 0:  25%|██▍       | 90/363 [00:37<02:05,  2.17it/s]
Loading 0:  25%|██▌       | 91/363 [00:38<02:38,  1.72it/s]
Loading 0:  26%|██▌       | 94/363 [00:39<01:36,  2.78it/s]
Loading 0:  26%|██▌       | 95/363 [00:39<01:32,  2.90it/s]
Loading 0:  26%|██▋       | 96/363 [00:39<01:19,  3.34it/s]
Loading 0:  27%|██▋       | 98/363 [00:40<01:41,  2.62it/s]
Loading 0:  27%|██▋       | 99/363 [00:41<02:16,  1.94it/s]
Loading 0:  28%|██▊       | 102/363 [00:42<01:51,  2.35it/s]
Loading 0:  28%|██▊       | 103/363 [00:43<02:16,  1.91it/s]
Loading 0:  29%|██▊       | 104/363 [00:44<02:43,  1.59it/s]
Loading 0:  29%|██▉       | 107/363 [00:44<01:38,  2.59it/s]
Loading 0:  30%|██▉       | 108/363 [00:45<01:33,  2.73it/s]
Loading 0:  30%|███       | 109/363 [00:45<01:20,  3.15it/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<00:59,  4.23it/s]
Loading 0:  32%|███▏      | 115/363 [00:47<01:26,  2.86it/s]
Loading 0:  32%|███▏      | 116/363 [00:47<01:59,  2.07it/s]
Loading 0:  32%|███▏      | 117/363 [00:48<02:30,  1.63it/s]
Loading 0:  33%|███▎      | 120/363 [00:49<01:52,  2.16it/s]
Loading 0:  33%|███▎      | 121/363 [00:50<02:15,  1.79it/s]
Loading 0:  34%|███▎      | 122/363 [00:51<02:39,  1.51it/s]
Loading 0:  34%|███▍      | 125/363 [00:52<01:34,  2.52it/s]
Loading 0:  35%|███▍      | 126/363 [00:52<01:28,  2.67it/s]
Loading 0:  35%|███▍      | 127/363 [00:52<01:16,  3.09it/s]
Loading 0:  36%|███▌      | 129/363 [00:53<01:33,  2.51it/s]
Loading 0:  36%|███▌      | 130/363 [00:54<02:00,  1.93it/s]
Loading 0:  36%|███▌      | 131/363 [00:55<02:27,  1.58it/s]
Loading 0:  37%|███▋      | 134/363 [00:56<01:25,  2.67it/s]
Loading 0:  37%|███▋      | 135/363 [00:56<01:21,  2.81it/s]
Loading 0:  37%|███▋      | 136/363 [00:56<01:09,  3.25it/s]
Loading 0:  38%|███▊      | 137/363 [00:57<01:44,  2.17it/s]
Loading 0:  38%|███▊      | 138/363 [00:58<02:15,  1.66it/s]
Loading 0:  39%|███▊      | 140/363 [00:58<01:34,  2.36it/s]
Loading 0:  39%|███▉      | 141/363 [00:59<01:26,  2.57it/s]
Loading 0:  39%|███▉      | 142/363 [00:59<01:11,  3.07it/s]
Loading 0:  40%|███▉      | 144/363 [01:00<01:28,  2.47it/s]
Loading 0:  40%|████      | 147/363 [01:01<01:18,  2.74it/s]
Loading 0:  41%|████      | 148/363 [01:02<01:42,  2.10it/s]
Loading 0:  41%|████      | 149/363 [01:03<02:06,  1.69it/s]
Loading 0:  42%|████▏     | 152/363 [01:03<01:17,  2.72it/s]
Loading 0:  42%|████▏     | 153/363 [01:03<01:13,  2.85it/s]
Loading 0:  42%|████▏     | 154/363 [01:03<01:04,  3.26it/s]
Loading 0:  43%|████▎     | 155/363 [01:04<01:34,  2.19it/s]
Loading 0:  43%|████▎     | 157/363 [01:05<01:10,  2.92it/s]
Loading 0:  44%|████▎     | 158/363 [01:05<01:07,  3.05it/s]
Loading 0:  44%|████▍     | 159/363 [01:05<00:57,  3.57it/s]
Loading 0:  44%|████▍     | 161/363 [01:06<01:16,  2.65it/s]
Loading 0:  45%|████▍     | 162/363 [01:07<01:45,  1.91it/s]
Loading 0:  45%|████▌     | 165/363 [01:08<01:23,  2.36it/s]
Loading 0:  46%|████▌     | 166/363 [01:09<01:43,  1.90it/s]
Loading 0:  46%|████▌     | 167/363 [01:10<02:04,  1.58it/s]
Loading 0:  47%|████▋     | 170/363 [01:11<01:14,  2.60it/s]
Loading 0:  47%|████▋     | 171/363 [01:11<01:09,  2.75it/s]
Loading 0:  47%|████▋     | 172/363 [01:11<01:00,  3.17it/s]
Loading 0:  48%|████▊     | 174/363 [01:11<00:49,  3.83it/s]
Loading 0:  48%|████▊     | 175/363 [01:12<00:49,  3.79it/s]
Loading 0:  48%|████▊     | 176/363 [01:12<00:43,  4.30it/s]
Loading 0:  49%|████▉     | 178/363 [01:13<01:03,  2.89it/s]
Loading 0:  49%|████▉     | 179/363 [01:14<01:28,  2.08it/s]
Loading 0:  50%|████▉     | 180/363 [01:15<01:51,  1.64it/s]
Loading 0:  50%|█████     | 183/363 [01:16<01:23,  2.16it/s]
Loading 0:  51%|█████     | 184/363 [01:17<01:39,  1.79it/s]
Loading 0:  51%|█████     | 185/363 [01:18<01:57,  1.51it/s]
Loading 0:  52%|█████▏    | 188/363 [01:18<01:09,  2.52it/s]
Loading 0:  52%|█████▏    | 189/363 [01:18<01:04,  2.68it/s]
Loading 0:  52%|█████▏    | 190/363 [01:18<00:55,  3.10it/s]
Loading 0:  53%|█████▎    | 192/363 [01:19<01:07,  2.53it/s]
Loading 0:  53%|█████▎    | 193/363 [01:20<01:27,  1.95it/s]
Loading 0:  53%|█████▎    | 194/363 [01:21<01:46,  1.59it/s]
Loading 0:  54%|█████▍    | 197/363 [01:22<01:01,  2.69it/s]
Loading 0:  55%|█████▍    | 198/363 [01:22<00:58,  2.83it/s]
Loading 0:  55%|█████▍    | 199/363 [01:22<00:50,  3.26it/s]
Loading 0:  55%|█████▌    | 200/363 [01:23<01:14,  2.18it/s]
Loading 0:  55%|█████▌    | 201/363 [01:24<01:37,  1.67it/s]
Loading 0:  56%|█████▌    | 203/363 [01:24<01:06,  2.39it/s]
Loading 0:  56%|█████▌    | 204/363 [01:25<01:01,  2.59it/s]
Loading 0:  56%|█████▋    | 205/363 [01:25<00:51,  3.09it/s]
Loading 0:  57%|█████▋    | 207/363 [01:26<01:02,  2.48it/s]
Loading 0:  58%|█████▊    | 210/363 [01:27<00:55,  2.76it/s]
Loading 0:  58%|█████▊    | 211/363 [01:28<01:11,  2.12it/s]
Loading 0:  58%|█████▊    | 212/363 [01:29<01:28,  1.71it/s]
Loading 0:  59%|█████▉    | 215/363 [01:29<00:53,  2.76it/s]
Loading 0:  60%|█████▉    | 216/363 [01:29<00:50,  2.89it/s]
Loading 0:  60%|█████▉    | 217/363 [01:30<00:44,  3.32it/s]
Loading 0:  60%|██████    | 218/363 [01:30<01:05,  2.23it/s]
Loading 0:  61%|██████    | 220/363 [01:31<00:48,  2.95it/s]
Loading 0:  61%|██████    | 221/363 [01:31<00:46,  3.08it/s]
Loading 0:  61%|██████    | 222/363 [01:31<00:39,  3.61it/s]
Loading 0:  62%|██████▏   | 224/363 [01:32<00:51,  2.67it/s]
Loading 0:  62%|██████▏   | 225/363 [01:33<01:11,  1.93it/s]
Loading 0:  63%|██████▎   | 228/363 [01:34<00:56,  2.38it/s]
Loading 0:  63%|██████▎   | 229/363 [01:35<01:09,  1.91it/s]
Loading 0:  63%|██████▎   | 230/363 [01:36<01:23,  1.59it/s]
Loading 0:  64%|██████▍   | 233/363 [01:37<00:49,  2.62it/s]
Loading 0:  64%|██████▍   | 234/363 [01:37<00:46,  2.76it/s]
Loading 0:  65%|██████▍   | 235/363 [01:37<00:40,  3.19it/s]
Loading 0:  65%|██████▌   | 237/363 [01:37<00:32,  3.85it/s]
Loading 0:  66%|██████▌   | 238/363 [01:38<00:32,  3.81it/s]
Loading 0:  66%|██████▌   | 239/363 [01:38<00:28,  4.31it/s]
Loading 0:  66%|██████▋   | 241/363 [01:39<00:41,  2.91it/s]
Loading 0:  67%|██████▋   | 242/363 [01:40<00:57,  2.09it/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,  1.80it/s]
Loading 0:  68%|██████▊   | 248/363 [01:44<01:15,  1.52it/s]
Loading 0:  69%|██████▉   | 251/363 [01:44<00:44,  2.54it/s]
Loading 0:  69%|██████▉   | 252/363 [01:44<00:41,  2.69it/s]
Loading 0:  70%|██████▉   | 253/363 [01:44<00:35,  3.11it/s]
Loading 0:  70%|███████   | 255/363 [01:45<00:42,  2.53it/s]
Loading 0:  71%|███████   | 256/363 [01:46<00:54,  1.95it/s]
Loading 0:  71%|███████   | 257/363 [01:47<01:06,  1.59it/s]
Loading 0:  72%|███████▏  | 260/363 [01:48<00:38,  2.70it/s]
Loading 0:  72%|███████▏  | 261/363 [01:48<00:35,  2.84it/s]
Loading 0:  72%|███████▏  | 262/363 [01:48<00:30,  3.29it/s]
Loading 0:  72%|███████▏  | 263/363 [01:49<00:45,  2.20it/s]
Loading 0:  73%|███████▎  | 264/363 [01:50<00:58,  1.68it/s]
Loading 0:  73%|███████▎  | 266/363 [01:50<00:40,  2.40it/s]
Loading 0:  74%|███████▎  | 267/363 [01:51<00:36,  2.60it/s]
Loading 0:  74%|███████▍  | 268/363 [01:51<00:30,  3.11it/s]
Loading 0:  74%|███████▍  | 270/363 [01:52<00:37,  2.49it/s]
Loading 0:  75%|███████▌  | 273/363 [01:53<00:32,  2.77it/s]
Loading 0:  75%|███████▌  | 274/363 [01:54<00:41,  2.13it/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<00:29,  2.90it/s]
Loading 0:  77%|███████▋  | 280/363 [01:55<00:24,  3.32it/s]
Loading 0:  77%|███████▋  | 281/363 [01:56<00:36,  2.23it/s]
Loading 0:  78%|███████▊  | 283/363 [01:57<00:27,  2.96it/s]
Loading 0:  78%|███████▊  | 284/363 [01:57<00:25,  3.09it/s]
Loading 0:  79%|███████▊  | 285/363 [01:57<00:21,  3.58it/s]
Loading 0:  79%|███████▉  | 287/363 [01:58<00:28,  2.67it/s]
Loading 0:  79%|███████▉  | 288/363 [01:59<00:38,  1.93it/s]
Loading 0:  80%|████████  | 291/363 [02:00<00:30,  2.39it/s]
Loading 0:  80%|████████  | 292/363 [02:01<00:36,  1.92it/s]
Loading 0:  81%|████████  | 293/363 [02:02<00:44,  1.59it/s]
Loading 0:  82%|████████▏ | 296/363 [02:02<00:25,  2.61it/s]
Loading 0:  82%|████████▏ | 297/363 [02:03<00:23,  2.76it/s]
Loading 0:  82%|████████▏ | 298/363 [02:03<00:20,  3.19it/s]
Loading 0:  83%|████████▎ | 300/363 [02:03<00:16,  3.85it/s]
Loading 0:  83%|████████▎ | 301/363 [02:03<00:16,  3.86it/s]
Loading 0:  83%|████████▎ | 302/363 [02:04<00:13,  4.37it/s]
Loading 0:  84%|████████▎ | 304/363 [02:05<00:20,  2.92it/s]
Loading 0:  84%|████████▍ | 305/363 [02:06<00:27,  2.10it/s]
Loading 0:  84%|████████▍ | 306/363 [02:07<00:34,  1.65it/s]
Loading 0:  85%|████████▌ | 309/363 [02:08<00:24,  2.18it/s]
Loading 0:  85%|████████▌ | 310/363 [02:08<00:29,  1.80it/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,  3.13it/s]
Loading 0:  88%|████████▊ | 318/363 [02:11<00:17,  2.55it/s]
Loading 0:  88%|████████▊ | 319/363 [02:12<00:22,  1.95it/s]
Loading 0:  88%|████████▊ | 320/363 [02:13<00:27,  1.59it/s]
Loading 0:  89%|████████▉ | 323/363 [02:14<00:14,  2.70it/s]
Loading 0:  89%|████████▉ | 324/363 [02:14<00:13,  2.84it/s]
Loading 0:  90%|████████▉ | 325/363 [02:14<00:11,  3.27it/s]
Loading 0:  90%|████████▉ | 326/363 [02:15<00:16,  2.18it/s]
Loading 0:  90%|█████████ | 327/363 [02:16<00:21,  1.67it/s]
Loading 0:  91%|█████████ | 329/363 [02:16<00:14,  2.39it/s]
Loading 0:  91%|█████████ | 330/363 [02:17<00:12,  2.60it/s]
Loading 0:  91%|█████████ | 331/363 [02:17<00:10,  3.10it/s]
Loading 0:  92%|█████████▏| 333/363 [02:18<00:12,  2.48it/s]
Loading 0:  93%|█████████▎| 336/363 [02:19<00:09,  2.75it/s]
Loading 0:  93%|█████████▎| 337/363 [02:20<00:12,  2.12it/s]
Loading 0:  93%|█████████▎| 338/363 [02:21<00:14,  1.71it/s]
Loading 0:  94%|█████████▍| 341/363 [02:21<00:07,  2.76it/s]
Loading 0:  94%|█████████▍| 342/363 [02:21<00:07,  2.88it/s]
Loading 0:  94%|█████████▍| 343/363 [02:21<00:06,  3.31it/s]
Loading 0:  95%|█████████▍| 344/363 [02:22<00:08,  2.23it/s]
Loading 0:  95%|█████████▌| 346/363 [02:23<00:05,  2.96it/s]
Loading 0:  96%|█████████▌| 347/363 [02:23<00:05,  3.09it/s]
Loading 0:  96%|█████████▌| 348/363 [02:23<00:04,  3.59it/s]
Loading 0:  96%|█████████▌| 349/363 [02:23<00:03,  3.66it/s]
Loading 0:  97%|█████████▋| 351/363 [02:24<00:04,  2.64it/s]
Loading 0:  97%|█████████▋| 352/363 [02:25<00:05,  1.90it/s]
Loading 0:  98%|█████████▊| 355/363 [02:26<00:03,  2.35it/s]
Loading 0:  98%|█████████▊| 356/363 [02:27<00:03,  1.90it/s]
Loading 0:  98%|█████████▊| 357/363 [02:28<00:03,  1.58it/s]
Loading 0:  99%|█████████▉| 360/363 [02:29<00:01,  2.62it/s]
Loading 0:  99%|█████████▉| 361/363 [02:29<00:00,  2.77it/s]
Loading 0: 100%|█████████▉| 362/363 [02:29<00:00,  3.19it/s]
                                                            
Job junhua024-chai-02-full-54657-v22-mkmlizer completed after 264.24s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v22-mkmlizer
Pipeline stage MKMLizer completed in 265.30s
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-02-full-54657-v22
Waiting for inference service junhua024-chai-02-full-54657-v22 to be ready
Inference service junhua024-chai-02-full-54657-v22 ready after 191.37562370300293s
Pipeline stage MKMLDeployer completed in 191.86s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.742737054824829s
Received healthy response to inference request in 2.9163665771484375s
Received healthy response to inference request in 2.9549667835235596s
Received healthy response to inference request in 2.869243860244751s
Received healthy response to inference request in 2.6761906147003174s
5 requests
0 failed requests
5th percentile: 2.6894999027252195
10th percentile: 2.702809190750122
20th percentile: 2.729427766799927
30th percentile: 2.7680384159088134
40th percentile: 2.8186411380767824
50th percentile: 2.869243860244751
60th percentile: 2.8880929470062258
70th percentile: 2.9069420337677
80th percentile: 2.9240866184234617
90th percentile: 2.9395267009735107
95th percentile: 2.9472467422485353
99th percentile: 2.953422775268555
mean time: 2.831900978088379
Pipeline stage StressChecker completed in 16.25s
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 1.07s
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 0.69s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v22 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 7605.65s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v22 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v22 status is now torndown due to DeploymentManager action