junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v56
model_name: junhua024-chai-02-full_54657_v56
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-26T04:25:32+00:00
num_battles: 7236
num_wins: 3904
celo_rating: 1290.07
family_friendly_score: 0.4302
family_friendly_standard_error: 0.007001827761377739
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: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5281135838360455, 'latency_mean': 1.8934160828590394, 'latency_p50': 1.8820065259933472, 'latency_p90': 2.046367883682251}, {'batch_size': 2, 'throughput': 0.7018755684357512, 'latency_mean': 2.846751458644867, 'latency_p50': 2.8637633323669434, 'latency_p90': 3.0964808464050293}, {'batch_size': 3, 'throughput': 0.7910339679097403, 'latency_mean': 3.780896247625351, 'latency_p50': 3.8042174577713013, 'latency_p90': 4.080883812904358}, {'batch_size': 4, 'throughput': 0.8503560508531126, 'latency_mean': 4.690272724628448, 'latency_p50': 4.694191217422485, 'latency_p90': 5.278697156906128}, {'batch_size': 5, 'throughput': 0.885775587785156, 'latency_mean': 5.621459084749222, 'latency_p50': 5.619487404823303, 'latency_p90': 6.2999366283416744}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v56
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 0.79
us_pacific_date: 2025-07-25
win_ratio: 0.5395245992260918
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.2, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, '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. Each of your responses should be fewer than 64 tokens long and suitable for readers of all ages.", '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-v56-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v56-mkmlizer to finish
junhua024-chai-02-full-54657-v56-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-54657-v56-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v56-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v56-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-mkmlizer: Downloaded to shared memory in 78.255s
junhua024-chai-02-full-54657-v56-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v56-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpbuihad_v, device:0
junhua024-chai-02-full-54657-v56-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-54657-v56-mkmlizer: quantized model in 162.765s
junhua024-chai-02-full-54657-v56-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 241.111s
junhua024-chai-02-full-54657-v56-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v56-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v56-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v56/nvidia
junhua024-chai-02-full-54657-v56-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v56/nvidia/config.json
junhua024-chai-02-full-54657-v56-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v56/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v56-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v56/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v56-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v56/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v56-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v56/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-54657-v56-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:21, 16.70it/s]
Loading 0:   1%|          | 4/363 [00:02<03:34,  1.67it/s]
Loading 0:   1%|▏         | 5/363 [00:03<04:24,  1.35it/s]
Loading 0:   2%|▏         | 8/363 [00:03<02:19,  2.54it/s]
Loading 0:   2%|▏         | 9/363 [00:03<02:14,  2.64it/s]
Loading 0:   3%|▎         | 10/363 [00:03<01:55,  3.05it/s]
Loading 0:   3%|▎         | 11/363 [00:04<02:50,  2.07it/s]
Loading 0:   3%|▎         | 12/363 [00:05<03:40,  1.59it/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,  3.02it/s]
Loading 0:   5%|▍         | 18/363 [00:07<02:22,  2.43it/s]
Loading 0:   6%|▌         | 21/363 [00:08<02:06,  2.71it/s]
Loading 0:   6%|▌         | 22/363 [00:09<02:42,  2.09it/s]
Loading 0:   6%|▋         | 23/363 [00:10<03:23,  1.67it/s]
Loading 0:   7%|▋         | 26/363 [00:11<02:04,  2.70it/s]
Loading 0:   7%|▋         | 27/363 [00:11<01:58,  2.83it/s]
Loading 0:   8%|▊         | 28/363 [00:11<01:43,  3.23it/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,  3.03it/s]
Loading 0:   9%|▉         | 33/363 [00:13<01:33,  3.52it/s]
Loading 0:  10%|▉         | 35/363 [00:14<02:04,  2.63it/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<03:24,  1.57it/s]
Loading 0:  12%|█▏        | 44/363 [00:18<02:03,  2.59it/s]
Loading 0:  12%|█▏        | 45/363 [00:18<01:56,  2.73it/s]
Loading 0:  13%|█▎        | 46/363 [00:19<01:40,  3.16it/s]
Loading 0:  13%|█▎        | 48/363 [00:19<01:22,  3.83it/s]
Loading 0:  13%|█▎        | 49/363 [00:19<01:23,  3.77it/s]
Loading 0:  14%|█▍        | 50/363 [00:19<01:14,  4.21it/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,  1.61it/s]
Loading 0:  16%|█▌        | 57/363 [00:23<02:23,  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<01:53,  2.65it/s]
Loading 0:  18%|█▊        | 64/363 [00:26<01:37,  3.07it/s]
Loading 0:  18%|█▊        | 66/363 [00:27<01:58,  2.51it/s]
Loading 0:  18%|█▊        | 67/363 [00:28<02:32,  1.93it/s]
Loading 0:  19%|█▊        | 68/363 [00:29<03:07,  1.57it/s]
Loading 0:  20%|█▉        | 71/363 [00:29<01:49,  2.67it/s]
Loading 0:  20%|█▉        | 72/363 [00:30<01:43,  2.81it/s]
Loading 0:  20%|██        | 73/363 [00:30<01:29,  3.23it/s]
Loading 0:  20%|██        | 74/363 [00:31<02:13,  2.16it/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 [00:33<01:33,  3.05it/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<01:22,  3.39it/s]
Loading 0:  24%|██▎       | 86/363 [00:35<01:43,  2.67it/s]
Loading 0:  25%|██▍       | 89/363 [00:36<01:36,  2.85it/s]
Loading 0:  25%|██▍       | 90/363 [00:37<02:06,  2.16it/s]
Loading 0:  25%|██▌       | 91/363 [00:38<02:37,  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<01:20,  3.30it/s]
Loading 0:  27%|██▋       | 98/363 [00:40<01:42,  2.59it/s]
Loading 0:  27%|██▋       | 99/363 [00:41<02:17,  1.92it/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,  1.58it/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 [00:46<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,  2.86it/s]
Loading 0:  32%|███▏      | 116/363 [00:48<01:59,  2.07it/s]
Loading 0:  32%|███▏      | 117/363 [00:49<02:31,  1.63it/s]
Loading 0:  33%|███▎      | 120/363 [00:50<01:53,  2.15it/s]
Loading 0:  33%|███▎      | 121/363 [00:51<02:15,  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 [00:52<01:16,  3.08it/s]
Loading 0:  36%|███▌      | 129/363 [00:53<01:33,  2.51it/s]
Loading 0:  36%|███▌      | 130/363 [00:54<02:00,  1.94it/s]
Loading 0:  36%|███▌      | 131/363 [00:55<02:26,  1.58it/s]
Loading 0:  37%|███▋      | 134/363 [00:56<01:25,  2.68it/s]
Loading 0:  37%|███▋      | 135/363 [00:56<01:21,  2.81it/s]
Loading 0:  37%|███▋      | 136/363 [00:56<01:10,  3.21it/s]
Loading 0:  38%|███▊      | 137/363 [00:57<01:44,  2.15it/s]
Loading 0:  38%|███▊      | 138/363 [00:58<02:16,  1.65it/s]
Loading 0:  39%|███▊      | 140/363 [00:58<01:34,  2.36it/s]
Loading 0:  39%|███▉      | 141/363 [00:59<01:26,  2.56it/s]
Loading 0:  39%|███▉      | 142/363 [00:59<01:12,  3.06it/s]
Loading 0:  40%|███▉      | 144/363 [01:00<01:29,  2.45it/s]
Loading 0:  40%|████      | 147/363 [01:01<01:19,  2.72it/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,  2.73it/s]
Loading 0:  42%|████▏     | 153/363 [01:04<01:13,  2.86it/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,  2.92it/s]
Loading 0:  44%|████▎     | 158/363 [01:05<01:07,  3.06it/s]
Loading 0:  44%|████▍     | 159/363 [01:05<00:56,  3.58it/s]
Loading 0:  44%|████▍     | 161/363 [01:06<01:16,  2.65it/s]
Loading 0:  45%|████▍     | 162/363 [01:07<01:45,  1.90it/s]
Loading 0:  45%|████▌     | 165/363 [01:08<01:24,  2.35it/s]
Loading 0:  46%|████▌     | 166/363 [01:09<01:43,  1.90it/s]
Loading 0:  46%|████▌     | 167/363 [01:10<02:04,  1.57it/s]
Loading 0:  47%|████▋     | 170/363 [01:11<01:14,  2.59it/s]
Loading 0:  47%|████▋     | 171/363 [01:11<01:10,  2.74it/s]
Loading 0:  47%|████▋     | 172/363 [01:11<01:00,  3.16it/s]
Loading 0:  48%|████▊     | 174/363 [01:11<00:49,  3.84it/s]
Loading 0:  48%|████▊     | 175/363 [01:12<00:49,  3.79it/s]
Loading 0:  48%|████▊     | 176/363 [01:12<00:43,  4.28it/s]
Loading 0:  49%|████▉     | 178/363 [01:13<01:04,  2.87it/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,  2.17it/s]
Loading 0:  51%|█████     | 184/363 [01:17<01:39,  1.80it/s]
Loading 0:  51%|█████     | 185/363 [01:18<01:56,  1.52it/s]
Loading 0:  52%|█████▏    | 188/363 [01:18<01:08,  2.54it/s]
Loading 0:  52%|█████▏    | 189/363 [01:18<01:04,  2.69it/s]
Loading 0:  52%|█████▏    | 190/363 [01:19<00:55,  3.12it/s]
Loading 0:  53%|█████▎    | 192/363 [01:20<01:07,  2.54it/s]
Loading 0:  53%|█████▎    | 193/363 [01:21<01:26,  1.96it/s]
Loading 0:  53%|█████▎    | 194/363 [01:22<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,  2.84it/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,  1.68it/s]
Loading 0:  56%|█████▌    | 203/363 [01:25<01:06,  2.40it/s]
Loading 0:  56%|█████▌    | 204/363 [01:25<01:00,  2.61it/s]
Loading 0:  56%|█████▋    | 205/363 [01:25<00:50,  3.12it/s]
Loading 0:  57%|█████▋    | 207/363 [01:26<01:02,  2.48it/s]
Loading 0:  58%|█████▊    | 210/363 [01:27<00:55,  2.75it/s]
Loading 0:  58%|█████▊    | 211/363 [01:28<01:11,  2.11it/s]
Loading 0:  58%|█████▊    | 212/363 [01:29<01:28,  1.70it/s]
Loading 0:  59%|█████▉    | 215/363 [01:29<00:54,  2.74it/s]
Loading 0:  60%|█████▉    | 216/363 [01:30<00:51,  2.86it/s]
Loading 0:  60%|█████▉    | 217/363 [01:30<00:44,  3.29it/s]
Loading 0:  60%|██████    | 218/363 [01:31<01:05,  2.21it/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,  3.59it/s]
Loading 0:  62%|██████▏   | 224/363 [01:32<00:52,  2.65it/s]
Loading 0:  62%|██████▏   | 225/363 [01:33<01:12,  1.91it/s]
Loading 0:  63%|██████▎   | 228/363 [01:34<00:57,  2.36it/s]
Loading 0:  63%|██████▎   | 229/363 [01:35<01:10,  1.91it/s]
Loading 0:  63%|██████▎   | 230/363 [01:36<01:23,  1.58it/s]
Loading 0:  64%|██████▍   | 233/363 [01:37<00:49,  2.61it/s]
Loading 0:  64%|██████▍   | 234/363 [01:37<00:46,  2.75it/s]
Loading 0:  65%|██████▍   | 235/363 [01:37<00:40,  3.17it/s]
Loading 0:  65%|██████▌   | 237/363 [01:38<00:32,  3.83it/s]
Loading 0:  66%|██████▌   | 238/363 [01:38<00:33,  3.79it/s]
Loading 0:  66%|██████▌   | 239/363 [01:38<00:29,  4.26it/s]
Loading 0:  66%|██████▋   | 241/363 [01:39<00:42,  2.87it/s]
Loading 0:  67%|██████▋   | 242/363 [01:40<00:58,  2.08it/s]
Loading 0:  67%|██████▋   | 243/363 [01:41<01:13,  1.64it/s]
Loading 0:  68%|██████▊   | 246/363 [01:42<00:54,  2.16it/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 [01:45<00:35,  3.11it/s]
Loading 0:  70%|███████   | 255/363 [01:46<00:42,  2.54it/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 [01:48<00:35,  2.84it/s]
Loading 0:  72%|███████▏  | 262/363 [01:48<00:30,  3.28it/s]
Loading 0:  72%|███████▏  | 263/363 [01:49<00:45,  2.20it/s]
Loading 0:  73%|███████▎  | 264/363 [01:50<00:59,  1.67it/s]
Loading 0:  73%|███████▎  | 266/363 [01:51<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 [01:56<00:28,  2.90it/s]
Loading 0:  77%|███████▋  | 280/363 [01:56<00:24,  3.33it/s]
Loading 0:  77%|███████▋  | 281/363 [01:57<00:36,  2.23it/s]
Loading 0:  78%|███████▊  | 283/363 [01:57<00:26,  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,  2.63it/s]
Loading 0:  79%|███████▉  | 288/363 [01:59<00:39,  1.91it/s]
Loading 0:  80%|████████  | 291/363 [02:00<00:30,  2.38it/s]
Loading 0:  80%|████████  | 292/363 [02:01<00:36,  1.92it/s]
Loading 0:  81%|████████  | 293/363 [02:02<00:43,  1.59it/s]
Loading 0:  82%|████████▏ | 296/363 [02:03<00:25,  2.62it/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,  3.86it/s]
Loading 0:  83%|████████▎ | 301/363 [02:04<00:16,  3.81it/s]
Loading 0:  83%|████████▎ | 302/363 [02:04<00:14,  4.25it/s]
Loading 0:  84%|████████▎ | 304/363 [02:05<00:20,  2.89it/s]
Loading 0:  84%|████████▍ | 305/363 [02:06<00:27,  2.09it/s]
Loading 0:  84%|████████▍ | 306/363 [02:07<00:34,  1.64it/s]
Loading 0:  85%|████████▌ | 309/363 [02:08<00:24,  2.17it/s]
Loading 0:  85%|████████▌ | 310/363 [02:09<00:29,  1.80it/s]
Loading 0:  86%|████████▌ | 311/363 [02:10<00:34,  1.52it/s]
Loading 0:  87%|████████▋ | 314/363 [02:10<00:19,  2.53it/s]
Loading 0:  87%|████████▋ | 315/363 [02:10<00:17,  2.69it/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<00:26,  1.59it/s]
Loading 0:  89%|████████▉ | 323/363 [02:14<00:14,  2.69it/s]
Loading 0:  89%|████████▉ | 324/363 [02:14<00:13,  2.83it/s]
Loading 0:  90%|████████▉ | 325/363 [02:14<00:11,  3.27it/s]
Loading 0:  90%|████████▉ | 326/363 [02:15<00:16,  2.19it/s]
Loading 0:  90%|█████████ | 327/363 [02:16<00:21,  1.67it/s]
Loading 0:  91%|█████████ | 329/363 [02:17<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,  3.09it/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 [02:22<00:07,  2.88it/s]
Loading 0:  94%|█████████▍| 343/363 [02:22<00:06,  3.30it/s]
Loading 0:  95%|█████████▍| 344/363 [02:23<00:08,  2.21it/s]
Loading 0:  95%|█████████▌| 346/363 [02:23<00:05,  2.94it/s]
Loading 0:  96%|█████████▌| 347/363 [02:23<00:05,  3.07it/s]
Loading 0:  96%|█████████▌| 348/363 [02:23<00:04,  3.58it/s]
Loading 0:  96%|█████████▌| 349/363 [02:24<00:03,  3.63it/s]
Loading 0:  96%|█████████▋| 350/363 [02:24<00:02,  4.35it/s]
Loading 0:  97%|█████████▋| 351/363 [02:25<00:05,  2.32it/s]
Loading 0:  97%|█████████▋| 352/363 [02:26<00:06,  1.67it/s]
Loading 0:  98%|█████████▊| 355/363 [02:27<00:03,  2.23it/s]
Loading 0:  98%|█████████▊| 356/363 [02:28<00:03,  1.81it/s]
Loading 0:  98%|█████████▊| 357/363 [02:29<00:04,  1.48it/s]
Loading 0:  99%|█████████▉| 360/363 [02:29<00:01,  2.52it/s]
Loading 0:  99%|█████████▉| 361/363 [02:29<00:00,  2.68it/s]
Loading 0: 100%|█████████▉| 362/363 [02:30<00:00,  3.09it/s]
                                                            
Job junhua024-chai-02-full-54657-v56-mkmlizer completed after 264.01s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v56-mkmlizer
Pipeline stage MKMLizer completed in 264.53s
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-v56
Waiting for inference service junhua024-chai-02-full-54657-v56 to be ready
Inference service junhua024-chai-02-full-54657-v56 ready after 190.97682547569275s
Pipeline stage MKMLDeployer completed in 191.62s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.347334861755371s
Received healthy response to inference request in 2.4180426597595215s
Received healthy response to inference request in 1.3323047161102295s
Received healthy response to inference request in 2.8338663578033447s
Received healthy response to inference request in 1.9653022289276123s
5 requests
0 failed requests
5th percentile: 1.458904218673706
10th percentile: 1.5855037212371825
20th percentile: 1.8387027263641358
30th percentile: 2.055850315093994
40th percentile: 2.2369464874267577
50th percentile: 2.4180426597595215
60th percentile: 2.584372138977051
70th percentile: 2.75070161819458
80th percentile: 2.93656005859375
90th percentile: 3.1419474601745607
95th percentile: 3.244641160964966
99th percentile: 3.32679612159729
mean time: 2.379370164871216
Pipeline stage StressChecker completed in 13.26s
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 0.80s
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 1.09s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v56 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-02-full-54657-v56-profiler
Waiting for inference service junhua024-chai-02-full-54657-v56-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2858.21s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v56 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v56 status is now torndown due to DeploymentManager action