junhua024-chai-1-full-002

developer_uid: junhua024
submission_id: junhua024-chai-1-full-002_v34
model_name: junhua024-chai-1-full-002_v34
model_group: junhua024/chai_1-full_00
status: torndown
timestamp: 2025-06-29T12:14:23+00:00
num_battles: 6944
num_wins: 3106
celo_rating: 1241.39
family_friendly_score: 0.6072
family_friendly_standard_error: 0.006906636808172267
submission_type: basic
model_repo: junhua024/chai_1-full_002
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5945601006318554, 'latency_mean': 1.6817154264450074, 'latency_p50': 1.673352837562561, 'latency_p90': 1.8565839767456054}, {'batch_size': 3, 'throughput': 1.0601549768772225, 'latency_mean': 2.823987604379654, 'latency_p50': 2.8428224325180054, 'latency_p90': 3.0495970010757447}, {'batch_size': 5, 'throughput': 1.274117642098384, 'latency_mean': 3.898133646249771, 'latency_p50': 3.876073718070984, 'latency_p90': 4.35985050201416}, {'batch_size': 6, 'throughput': 1.3408750221784602, 'latency_mean': 4.449891710281372, 'latency_p50': 4.418851256370544, 'latency_p90': 5.00616397857666}, {'batch_size': 8, 'throughput': 1.4168193110703668, 'latency_mean': 5.607183027267456, 'latency_p50': 5.57947850227356, 'latency_p90': 6.378078842163086}, {'batch_size': 10, 'throughput': 1.4284338451088978, 'latency_mean': 6.944876219034195, 'latency_p50': 7.009084343910217, 'latency_p90': 7.7424495935440065}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-002_v34
is_internal_developer: False
language_model: junhua024/chai_1-full_002
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-06-29
win_ratio: 0.4472926267281106
generation_params: {'temperature': 0.45, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['\n', '<|im_start|>', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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-1-full-002-v34-mkmlizer
Waiting for job on junhua024-chai-1-full-002-v34-mkmlizer to finish
junhua024-chai-1-full-002-v34-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-002-v34-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v34-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-1-full-002-v34-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-1-full-002-v34-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-1-full-002-v34-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-1-full-002-v34-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-1-full-002-v34-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-1-full-002-v34-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-1-full-002-v34-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-002-v34-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v34-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-002-v34-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-002-v34-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-002-v34-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-002-v34-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v34-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-002-v34-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-002-v34-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v34-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-002-v34-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-002-v34-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-002-v34-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v34-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-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-1-full-002-v34-mkmlizer: Downloaded to shared memory in 75.224s
junhua024-chai-1-full-002-v34-mkmlizer: Checking if junhua024/chai_1-full_002 already exists in ChaiML
junhua024-chai-1-full-002-v34-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8_uwqr58, device:0
junhua024-chai-1-full-002-v34-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-002-v34-mkmlizer: quantized model in 33.518s
junhua024-chai-1-full-002-v34-mkmlizer: Processed model junhua024/chai_1-full_002 in 108.825s
junhua024-chai-1-full-002-v34-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-002-v34-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-002-v34-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-002-v34
junhua024-chai-1-full-002-v34-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v34/config.json
junhua024-chai-1-full-002-v34-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v34/special_tokens_map.json
junhua024-chai-1-full-002-v34-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v34/tokenizer_config.json
junhua024-chai-1-full-002-v34-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v34/tokenizer.json
junhua024-chai-1-full-002-v34-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-002-v34/flywheel_model.0.safetensors
junhua024-chai-1-full-002-v34-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:21, 16.46it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:18, 18.89it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:12, 29.23it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:11, 30.03it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:10, 32.73it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:07, 43.90it/s]
Loading 0:  10%|▉         | 36/363 [00:01<00:10, 32.24it/s]
Loading 0:  11%|█▏        | 41/363 [00:01<00:09, 32.87it/s]
Loading 0:  14%|█▍        | 50/363 [00:01<00:07, 39.83it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:09, 33.58it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:09, 31.58it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:09, 32.90it/s]
Loading 0:  19%|█▉        | 69/363 [00:02<00:09, 32.10it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:08, 35.25it/s]
Loading 0:  21%|██▏       | 78/363 [00:02<00:07, 36.17it/s]
Loading 0:  23%|██▎       | 82/363 [00:02<00:08, 31.61it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:08, 33.05it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:08, 33.76it/s]
Loading 0:  27%|██▋       | 97/363 [00:02<00:07, 34.79it/s]
Loading 0:  28%|██▊       | 101/363 [00:03<00:07, 33.85it/s]
Loading 0:  29%|██▉       | 105/363 [00:03<00:08, 30.84it/s]
Loading 0:  31%|███       | 112/363 [00:03<00:06, 39.20it/s]
Loading 0:  32%|███▏      | 117/363 [00:03<00:08, 28.45it/s]
Loading 0:  34%|███▎      | 122/363 [00:03<00:08, 29.95it/s]
Loading 0:  35%|███▌      | 128/363 [00:03<00:07, 30.77it/s]
Loading 0:  36%|███▋      | 132/363 [00:04<00:07, 30.19it/s]
Loading 0:  38%|███▊      | 137/363 [00:04<00:06, 32.73it/s]
Loading 0:  39%|███▉      | 141/363 [00:04<00:06, 33.43it/s]
Loading 0:  40%|███▉      | 145/363 [00:04<00:07, 28.90it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:07, 28.04it/s]
Loading 0:  43%|████▎     | 155/363 [00:04<00:06, 33.00it/s]
Loading 0:  44%|████▍     | 160/363 [00:04<00:06, 31.57it/s]
Loading 0:  45%|████▌     | 164/363 [00:05<00:08, 23.79it/s]
Loading 0:  46%|████▌     | 167/363 [00:05<00:08, 22.44it/s]
Loading 0:  48%|████▊     | 175/363 [00:05<00:05, 33.18it/s]
Loading 0:  50%|████▉     | 180/363 [00:05<00:06, 27.09it/s]
Loading 0:  51%|█████     | 185/363 [00:05<00:06, 29.60it/s]
Loading 0:  53%|█████▎    | 191/363 [00:06<00:05, 31.75it/s]
Loading 0:  54%|█████▎    | 195/363 [00:06<00:05, 31.51it/s]
Loading 0:  55%|█████▌    | 200/363 [00:06<00:04, 34.89it/s]
Loading 0:  56%|█████▌    | 204/363 [00:06<00:04, 35.12it/s]
Loading 0:  57%|█████▋    | 208/363 [00:06<00:05, 29.85it/s]
Loading 0:  58%|█████▊    | 212/363 [00:06<00:05, 29.07it/s]
Loading 0:  60%|██████    | 218/363 [00:06<00:04, 35.76it/s]
Loading 0:  61%|██████▏   | 223/363 [00:06<00:04, 34.42it/s]
Loading 0:  63%|██████▎   | 227/363 [00:07<00:03, 34.53it/s]
Loading 0:  64%|██████▎   | 231/363 [00:07<00:04, 32.46it/s]
Loading 0:  66%|██████▌   | 238/363 [00:07<00:03, 41.19it/s]
Loading 0:  67%|██████▋   | 243/363 [00:07<00:03, 30.29it/s]
Loading 0:  68%|██████▊   | 248/363 [00:07<00:03, 31.99it/s]
Loading 0:  70%|██████▉   | 254/363 [00:07<00:03, 32.26it/s]
Loading 0:  71%|███████   | 258/363 [00:08<00:03, 29.56it/s]
Loading 0:  72%|███████▏  | 262/363 [00:08<00:03, 30.56it/s]
Loading 0:  73%|███████▎  | 266/363 [00:08<00:03, 29.94it/s]
Loading 0:  74%|███████▍  | 270/363 [00:08<00:03, 26.46it/s]
Loading 0:  76%|███████▌  | 275/363 [00:08<00:03, 28.36it/s]
Loading 0:  77%|███████▋  | 280/363 [00:08<00:02, 32.81it/s]
Loading 0:  79%|███████▊  | 285/363 [00:08<00:02, 33.31it/s]
Loading 0:  80%|███████▉  | 289/363 [00:09<00:02, 24.69it/s]
Loading 0:  81%|████████  | 293/363 [00:09<00:02, 24.73it/s]
Loading 0:  83%|████████▎ | 300/363 [00:09<00:01, 33.34it/s]
Loading 0:  84%|████████▎ | 304/363 [00:09<00:02, 27.39it/s]
Loading 0:  85%|████████▍ | 308/363 [00:09<00:02, 26.94it/s]
Loading 0:  86%|████████▌ | 312/363 [00:10<00:01, 26.29it/s]
Loading 0:  87%|████████▋ | 316/363 [00:10<00:01, 28.88it/s]
Loading 0:  88%|████████▊ | 320/363 [00:10<00:01, 23.60it/s]
Loading 0:  90%|████████▉ | 325/363 [00:10<00:01, 28.49it/s]
Loading 0:  91%|█████████ | 329/363 [00:10<00:01, 28.47it/s]
Loading 0:  92%|█████████▏| 333/363 [00:10<00:01, 22.87it/s]
Loading 0:  93%|█████████▎| 338/363 [00:11<00:01, 24.92it/s]
Loading 0:  94%|█████████▍| 343/363 [00:11<00:00, 29.76it/s]
Loading 0:  96%|█████████▌| 348/363 [00:11<00:00, 31.93it/s]
Loading 0:  97%|█████████▋| 352/363 [00:11<00:00, 16.46it/s]
Loading 0:  98%|█████████▊| 357/363 [00:12<00:00, 19.62it/s]
                                                            
Job junhua024-chai-1-full-002-v34-mkmlizer completed after 158.47s with status: succeeded
Stopping job with name junhua024-chai-1-full-002-v34-mkmlizer
Pipeline stage MKMLizer completed in 159.04s
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-1-full-002-v34
Waiting for inference service junhua024-chai-1-full-002-v34 to be ready
Inference service junhua024-chai-1-full-002-v34 ready after 180.7226173877716s
Pipeline stage MKMLDeployer completed in 181.23s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.2850136756896973s
Received healthy response to inference request in 2.314730644226074s
Received healthy response to inference request in 1.4586424827575684s
Received healthy response to inference request in 1.583639144897461s
5 requests
1 failed requests
5th percentile: 1.4836418151855468
10th percentile: 1.5086411476135253
20th percentile: 1.5586398124694825
30th percentile: 1.7239140510559081
40th percentile: 2.004463863372803
50th percentile: 2.2850136756896973
60th percentile: 2.2969004631042482
70th percentile: 2.3087872505187987
80th percentile: 5.892493915557864
90th percentile: 13.048020458221437
95th percentile: 16.62578372955322
99th percentile: 19.487994346618652
mean time: 5.5691145896911625
%s, retrying in %s seconds...
Received healthy response to inference request in 1.8144104480743408s
Received healthy response to inference request in 1.704392671585083s
Received healthy response to inference request in 1.5135397911071777s
Received healthy response to inference request in 1.7620253562927246s
Received healthy response to inference request in 0.990786075592041s
5 requests
0 failed requests
5th percentile: 1.0953368186950683
10th percentile: 1.1998875617980957
20th percentile: 1.4089890480041505
30th percentile: 1.5517103672027588
40th percentile: 1.628051519393921
50th percentile: 1.704392671585083
60th percentile: 1.7274457454681396
70th percentile: 1.7504988193511963
80th percentile: 1.7725023746490478
90th percentile: 1.7934564113616944
95th percentile: 1.8039334297180176
99th percentile: 1.8123150444030762
mean time: 1.5570308685302734
Pipeline stage StressChecker completed in 38.87s
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 0.75s
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 0.75s
Shutdown handler de-registered
junhua024-chai-1-full-002_v34 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 0.15s
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-1-full-002-v34-profiler
Waiting for inference service junhua024-chai-1-full-002-v34-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 4854.54s
Shutdown handler de-registered
junhua024-chai-1-full-002_v34 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-002_v34 status is now torndown due to DeploymentManager action