junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v32
model_name: junhua024-chai-1-full-066126_v32
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-14T13:20:28+00:00
num_battles: 11515
num_wins: 5533
celo_rating: 1270.78
family_friendly_score: 0.5472
family_friendly_standard_error: 0.0070394908906823645
submission_type: basic
model_repo: junhua024/chai-1-full-066126
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': 0.5920922654564786, 'latency_mean': 1.6887359416484833, 'latency_p50': 1.693611741065979, 'latency_p90': 1.8565325736999512}, {'batch_size': 3, 'throughput': 1.0588647318244406, 'latency_mean': 2.8206368386745453, 'latency_p50': 2.8133424520492554, 'latency_p90': 3.1261003494262694}, {'batch_size': 5, 'throughput': 1.2871888681221375, 'latency_mean': 3.87848982334137, 'latency_p50': 3.8654993772506714, 'latency_p90': 4.258442306518554}, {'batch_size': 6, 'throughput': 1.3228055399874528, 'latency_mean': 4.503075660467148, 'latency_p50': 4.522076725959778, 'latency_p90': 5.0301368713378904}, {'batch_size': 8, 'throughput': 1.381458172256893, 'latency_mean': 5.754106175899506, 'latency_p50': 5.718522548675537, 'latency_p90': 6.563951563835144}, {'batch_size': 10, 'throughput': 1.4297011870614282, 'latency_mean': 6.946727613210678, 'latency_p50': 6.993311405181885, 'latency_p90': 7.768233370780945}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v32
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-14
win_ratio: 0.48050369083803735
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 10, 'presence_penalty': 0.0, 'frequency_penalty': -0.1, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name junhua024-chai-1-full-066126-v32-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v32-mkmlizer to finish
junhua024-chai-1-full-066126-v32-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v32-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v32-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v32-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-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-066126-v32-mkmlizer: Downloaded to shared memory in 78.375s
junhua024-chai-1-full-066126-v32-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v32-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmphx4bzote, device:0
junhua024-chai-1-full-066126-v32-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v32-mkmlizer: quantized model in 39.173s
junhua024-chai-1-full-066126-v32-mkmlizer: Processed model junhua024/chai-1-full-066126 in 117.630s
junhua024-chai-1-full-066126-v32-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v32-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v32/nvidia/config.json
junhua024-chai-1-full-066126-v32-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v32/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v32-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v32/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v32-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v32/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v32-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:27, 13.29it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:23, 15.39it/s]
Loading 0:   3%|▎         | 11/363 [00:00<00:12, 29.20it/s]
Loading 0:   4%|▍         | 15/363 [00:00<00:11, 31.07it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:13, 25.95it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:13, 25.26it/s]
Loading 0:   8%|▊         | 28/363 [00:01<00:11, 30.04it/s]
Loading 0:   9%|▉         | 33/363 [00:01<00:10, 31.84it/s]
Loading 0:  10%|█         | 37/363 [00:01<00:12, 25.62it/s]
Loading 0:  11%|█▏        | 41/363 [00:01<00:12, 25.54it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:08, 36.59it/s]
Loading 0:  15%|█▍        | 54/363 [00:01<00:11, 26.20it/s]
Loading 0:  16%|█▋        | 59/363 [00:02<00:10, 28.14it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:10, 28.76it/s]
Loading 0:  19%|█▉        | 69/363 [00:02<00:10, 28.34it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:09, 31.38it/s]
Loading 0:  21%|██▏       | 78/363 [00:02<00:08, 31.83it/s]
Loading 0:  23%|██▎       | 82/363 [00:02<00:10, 27.56it/s]
Loading 0:  24%|██▎       | 86/363 [00:03<00:09, 29.01it/s]
Loading 0:  25%|██▌       | 91/363 [00:03<00:09, 29.78it/s]
Loading 0:  27%|██▋       | 97/363 [00:03<00:08, 29.59it/s]
Loading 0:  28%|██▊       | 101/363 [00:03<00:09, 28.90it/s]
Loading 0:  29%|██▊       | 104/363 [00:03<00:10, 25.16it/s]
Loading 0:  30%|███       | 109/363 [00:03<00:08, 30.17it/s]
Loading 0:  31%|███▏      | 114/363 [00:04<00:08, 28.85it/s]
Loading 0:  33%|███▎      | 118/363 [00:04<00:08, 28.03it/s]
Loading 0:  34%|███▎      | 122/363 [00:04<00:08, 27.50it/s]
Loading 0:  35%|███▌      | 128/363 [00:04<00:08, 28.74it/s]
Loading 0:  36%|███▌      | 131/363 [00:04<00:08, 26.30it/s]
Loading 0:  37%|███▋      | 136/363 [00:04<00:07, 31.22it/s]
Loading 0:  39%|███▊      | 140/363 [00:04<00:07, 30.00it/s]
Loading 0:  40%|███▉      | 144/363 [00:05<00:08, 26.61it/s]
Loading 0:  41%|████      | 149/363 [00:05<00:07, 27.49it/s]
Loading 0:  43%|████▎     | 155/363 [00:05<00:06, 32.74it/s]
Loading 0:  44%|████▍     | 160/363 [00:05<00:06, 30.85it/s]
Loading 0:  45%|████▌     | 164/363 [00:05<00:06, 30.38it/s]
Loading 0:  46%|████▋     | 168/363 [00:05<00:06, 28.26it/s]
Loading 0:  48%|████▊     | 173/363 [00:05<00:05, 32.89it/s]
Loading 0:  49%|████▉     | 177/363 [00:06<00:06, 28.02it/s]
Loading 0:  50%|████▉     | 181/363 [00:06<00:06, 27.53it/s]
Loading 0:  51%|█████     | 185/363 [00:06<00:06, 26.81it/s]
Loading 0:  53%|█████▎    | 191/363 [00:06<00:06, 28.64it/s]
Loading 0:  53%|█████▎    | 194/363 [00:06<00:06, 26.12it/s]
Loading 0:  55%|█████▌    | 200/363 [00:06<00:05, 32.17it/s]
Loading 0:  56%|█████▌    | 204/363 [00:07<00:04, 32.52it/s]
Loading 0:  57%|█████▋    | 208/363 [00:07<00:05, 27.89it/s]
Loading 0:  58%|█████▊    | 212/363 [00:07<00:05, 26.37it/s]
Loading 0:  60%|█████▉    | 217/363 [00:07<00:04, 31.22it/s]
Loading 0:  61%|██████    | 222/363 [00:07<00:04, 35.09it/s]
Loading 0:  62%|██████▏   | 226/363 [00:07<00:04, 27.60it/s]
Loading 0:  63%|██████▎   | 230/363 [00:08<00:05, 26.42it/s]
Loading 0:  66%|██████▌   | 238/363 [00:08<00:03, 37.07it/s]
Loading 0:  67%|██████▋   | 243/363 [00:08<00:04, 27.04it/s]
Loading 0:  68%|██████▊   | 248/363 [00:08<00:04, 27.54it/s]
Loading 0:  70%|██████▉   | 253/363 [00:08<00:03, 31.15it/s]
Loading 0:  71%|███████   | 257/363 [00:09<00:04, 24.83it/s]
Loading 0:  72%|███████▏  | 263/363 [00:09<00:03, 30.27it/s]
Loading 0:  74%|███████▎  | 267/363 [00:09<00:03, 30.91it/s]
Loading 0:  75%|███████▍  | 271/363 [00:09<00:03, 27.58it/s]
Loading 0:  76%|███████▌  | 275/363 [00:09<00:03, 26.70it/s]
Loading 0:  77%|███████▋  | 281/363 [00:09<00:02, 32.18it/s]
Loading 0:  79%|███████▉  | 286/363 [00:09<00:02, 31.10it/s]
Loading 0:  80%|███████▉  | 290/363 [00:10<00:02, 30.67it/s]
Loading 0:  81%|████████  | 294/363 [00:10<00:02, 28.21it/s]
Loading 0:  83%|████████▎ | 300/363 [00:10<00:01, 34.53it/s]
Loading 0:  84%|████████▎ | 304/363 [00:10<00:02, 29.32it/s]
Loading 0:  85%|████████▍ | 308/363 [00:10<00:01, 29.93it/s]
Loading 0:  86%|████████▌ | 312/363 [00:10<00:01, 28.75it/s]
Loading 0:  87%|████████▋ | 317/363 [00:10<00:01, 28.34it/s]
Loading 0:  88%|████████▊ | 320/363 [00:11<00:01, 26.22it/s]
Loading 0:  90%|████████▉ | 326/363 [00:11<00:01, 32.18it/s]
Loading 0:  91%|█████████ | 330/363 [00:11<00:01, 32.74it/s]
Loading 0:  92%|█████████▏| 334/363 [00:11<00:01, 27.82it/s]
Loading 0:  93%|█████████▎| 338/363 [00:11<00:00, 26.24it/s]
Loading 0:  94%|█████████▍| 343/363 [00:11<00:00, 31.08it/s]
Loading 0:  96%|█████████▌| 348/363 [00:11<00:00, 33.35it/s]
Loading 0:  97%|█████████▋| 352/363 [00:12<00:00, 16.81it/s]
Loading 0:  98%|█████████▊| 357/363 [00:12<00:00, 20.10it/s]
                                                            
Job junhua024-chai-1-full-066126-v32-mkmlizer completed after 148.14s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v32-mkmlizer
Pipeline stage MKMLizer completed in 149.02s
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-066126-v32
Waiting for inference service junhua024-chai-1-full-066126-v32 to be ready
Inference service junhua024-chai-1-full-066126-v32 ready after 220.93377256393433s
Pipeline stage MKMLDeployer completed in 221.38s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4301795959472656s
Received healthy response to inference request in 1.7827630043029785s
Received healthy response to inference request in 2.0003952980041504s
Received healthy response to inference request in 1.5292141437530518s
Received healthy response to inference request in 1.5490713119506836s
5 requests
0 failed requests
5th percentile: 1.5331855773925782
10th percentile: 1.5371570110321044
20th percentile: 1.5450998783111571
30th percentile: 1.5958096504211425
40th percentile: 1.6892863273620606
50th percentile: 1.7827630043029785
60th percentile: 1.8698159217834474
70th percentile: 1.956868839263916
80th percentile: 2.0863521575927737
90th percentile: 2.2582658767700194
95th percentile: 2.3442227363586423
99th percentile: 2.412988224029541
mean time: 1.8583246707916259
Pipeline stage StressChecker completed in 10.94s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.72s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.68s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v32 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 0.13s
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-066126-v32-profiler
Waiting for inference service junhua024-chai-1-full-066126-v32-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 5817.45s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v32 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v32 status is now torndown due to DeploymentManager action