junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v61
model_name: junhua024-chai-1-full-066126_v61
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-15T10:38:42+00:00
num_battles: 8656
num_wins: 4145
celo_rating: 1270.63
family_friendly_score: 0.5546
family_friendly_standard_error: 0.007028781402206217
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': 0.5958488092772425, 'latency_mean': 1.678159432411194, 'latency_p50': 1.687558889389038, 'latency_p90': 1.8509004354476928}, {'batch_size': 3, 'throughput': 1.0918500959997668, 'latency_mean': 2.7426463878154754, 'latency_p50': 2.720060348510742, 'latency_p90': 3.0593986034393312}, {'batch_size': 5, 'throughput': 1.3076521540590789, 'latency_mean': 3.80865429520607, 'latency_p50': 3.820123314857483, 'latency_p90': 4.206180262565613}, {'batch_size': 6, 'throughput': 1.3583926389678949, 'latency_mean': 4.396949292421341, 'latency_p50': 4.388386964797974, 'latency_p90': 4.930562114715576}, {'batch_size': 8, 'throughput': 1.4397258867228542, 'latency_mean': 5.522811369895935, 'latency_p50': 5.509761929512024, 'latency_p90': 6.1761185169219965}, {'batch_size': 10, 'throughput': 1.4564152913389894, 'latency_mean': 6.811020803451538, 'latency_p50': 6.746312260627747, 'latency_p90': 7.764304256439209}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v61
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-07-15
win_ratio: 0.478858595194085
generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 8, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '{memory} What feelings and emotions are behind these words?', '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-v61-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v61-mkmlizer to finish
junhua024-chai-1-full-066126-v61-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v61-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v61-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v61-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v61-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-v61-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-v61-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-v61-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-v61-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-v61-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-v61-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-v61-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-v61-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-v61-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-v61-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-v61-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-v61-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-v61-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-v61-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-v61-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-v61-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-v61-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-v61-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`
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
junhua024-chai-1-full-066126-v61-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-v61-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-v61-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-v61-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-v61-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-v61-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-v61-mkmlizer: Downloaded to shared memory in 70.184s
junhua024-chai-1-full-066126-v61-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v61-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp34qm9dy8, device:0
junhua024-chai-1-full-066126-v61-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v61-mkmlizer: quantized model in 30.927s
junhua024-chai-1-full-066126-v61-mkmlizer: Processed model junhua024/chai-1-full-066126 in 101.186s
junhua024-chai-1-full-066126-v61-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v61-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v61-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v61/nvidia
junhua024-chai-1-full-066126-v61-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v61/nvidia/config.json
junhua024-chai-1-full-066126-v61-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v61/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v61-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v61/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v61-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v61/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v61-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v61/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v61-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:22, 16.05it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:19, 18.48it/s]
Loading 0:   3%|▎         | 11/363 [00:00<00:10, 33.81it/s]
Loading 0:   4%|▍         | 15/363 [00:00<00:09, 35.89it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:11, 30.02it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:11, 29.83it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:07, 42.78it/s]
Loading 0:  10%|▉         | 36/363 [00:01<00:10, 30.89it/s]
Loading 0:  11%|█▏        | 41/363 [00:01<00:09, 32.28it/s]
Loading 0:  14%|█▍        | 50/363 [00:01<00:07, 39.92it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:09, 33.89it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:09, 32.96it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:08, 34.34it/s]
Loading 0:  19%|█▉        | 69/363 [00:02<00:08, 33.65it/s]
Loading 0:  21%|██        | 75/363 [00:02<00:08, 33.72it/s]
Loading 0:  22%|██▏       | 80/363 [00:02<00:08, 32.03it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:07, 36.60it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:07, 36.44it/s]
Loading 0:  27%|██▋       | 97/363 [00:02<00:07, 37.10it/s]
Loading 0:  28%|██▊       | 101/363 [00:02<00:07, 36.92it/s]
Loading 0:  29%|██▉       | 105/363 [00:03<00:07, 34.17it/s]
Loading 0:  31%|███       | 113/363 [00:03<00:06, 40.26it/s]
Loading 0:  33%|███▎      | 118/363 [00:03<00:07, 34.35it/s]
Loading 0:  34%|███▎      | 122/363 [00:03<00:07, 32.42it/s]
Loading 0:  35%|███▌      | 128/363 [00:03<00:06, 34.12it/s]
Loading 0:  36%|███▋      | 132/363 [00:03<00:06, 33.34it/s]
Loading 0:  38%|███▊      | 137/363 [00:03<00:06, 37.07it/s]
Loading 0:  39%|███▉      | 142/363 [00:04<00:06, 35.17it/s]
Loading 0:  40%|████      | 146/363 [00:04<00:06, 36.05it/s]
Loading 0:  41%|████▏     | 150/363 [00:04<00:06, 34.19it/s]
Loading 0:  43%|████▎     | 156/363 [00:04<00:05, 40.43it/s]
Loading 0:  44%|████▍     | 161/363 [00:04<00:05, 35.29it/s]
Loading 0:  45%|████▌     | 165/363 [00:04<00:05, 35.04it/s]
Loading 0:  47%|████▋     | 169/363 [00:04<00:05, 34.80it/s]
Loading 0:  48%|████▊     | 176/363 [00:05<00:04, 38.38it/s]
Loading 0:  50%|████▉     | 180/363 [00:05<00:05, 30.78it/s]
Loading 0:  51%|█████     | 185/363 [00:05<00:05, 32.64it/s]
Loading 0:  53%|█████▎    | 191/363 [00:05<00:04, 34.55it/s]
Loading 0:  54%|█████▎    | 195/363 [00:05<00:04, 33.88it/s]
Loading 0:  55%|█████▌    | 201/363 [00:05<00:04, 33.92it/s]
Loading 0:  57%|█████▋    | 206/363 [00:05<00:04, 33.53it/s]
Loading 0:  58%|█████▊    | 212/363 [00:06<00:04, 35.21it/s]
Loading 0:  60%|██████    | 218/363 [00:06<00:03, 40.52it/s]
Loading 0:  61%|██████▏   | 223/363 [00:06<00:03, 38.39it/s]
Loading 0:  63%|██████▎   | 227/363 [00:06<00:03, 38.03it/s]
Loading 0:  64%|██████▎   | 231/363 [00:06<00:03, 35.39it/s]
Loading 0:  66%|██████▌   | 239/363 [00:06<00:03, 40.78it/s]
Loading 0:  67%|██████▋   | 244/363 [00:07<00:03, 33.51it/s]
Loading 0:  68%|██████▊   | 248/363 [00:07<00:03, 32.81it/s]
Loading 0:  70%|██████▉   | 254/363 [00:07<00:03, 34.10it/s]
Loading 0:  71%|███████   | 258/363 [00:07<00:03, 33.42it/s]
Loading 0:  72%|███████▏  | 263/363 [00:07<00:02, 36.64it/s]
Loading 0:  74%|███████▎  | 267/363 [00:07<00:02, 37.19it/s]
Loading 0:  75%|███████▍  | 271/363 [00:07<00:02, 32.69it/s]
Loading 0:  76%|███████▌  | 275/363 [00:07<00:02, 31.28it/s]
Loading 0:  78%|███████▊  | 282/363 [00:08<00:02, 40.35it/s]
Loading 0:  79%|███████▉  | 287/363 [00:08<00:02, 36.07it/s]
Loading 0:  80%|████████  | 291/363 [00:08<00:02, 35.67it/s]
Loading 0:  81%|████████▏ | 295/363 [00:08<00:01, 35.38it/s]
Loading 0:  83%|████████▎ | 302/363 [00:08<00:01, 39.16it/s]
Loading 0:  84%|████████▍ | 306/363 [00:08<00:01, 31.90it/s]
Loading 0:  86%|████████▌ | 311/363 [00:08<00:01, 33.65it/s]
Loading 0:  87%|████████▋ | 317/363 [00:09<00:01, 35.12it/s]
Loading 0:  88%|████████▊ | 321/363 [00:09<00:01, 34.55it/s]
Loading 0:  90%|█████████ | 327/363 [00:09<00:01, 34.07it/s]
Loading 0:  91%|█████████▏| 332/363 [00:09<00:00, 33.31it/s]
Loading 0:  93%|█████████▎| 338/363 [00:09<00:00, 33.90it/s]
Loading 0:  95%|█████████▍| 344/363 [00:09<00:00, 37.98it/s]
Loading 0:  96%|█████████▌| 349/363 [00:10<00:00, 26.61it/s]
Loading 0:  97%|█████████▋| 353/363 [00:10<00:00, 24.47it/s]
Loading 0:  98%|█████████▊| 357/363 [00:10<00:00, 25.95it/s]
                                                            
Job junhua024-chai-1-full-066126-v61-mkmlizer completed after 127.66s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v61-mkmlizer
Pipeline stage MKMLizer completed in 128.15s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v61
Waiting for inference service junhua024-chai-1-full-066126-v61 to be ready
Inference service junhua024-chai-1-full-066126-v61 ready after 240.92034268379211s
Pipeline stage MKMLDeployer completed in 241.40s
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 2.613511323928833s
Received healthy response to inference request in 2.1430392265319824s
Received healthy response to inference request in 1.6974093914031982s
Received healthy response to inference request in 1.9501850605010986s
5 requests
1 failed requests
5th percentile: 1.7479645252227782
10th percentile: 1.7985196590423584
20th percentile: 1.8996299266815186
30th percentile: 1.9887558937072753
40th percentile: 2.065897560119629
50th percentile: 2.1430392265319824
60th percentile: 2.3312280654907225
70th percentile: 2.519416904449463
80th percentile: 6.122245311737064
90th percentile: 13.139713287353517
95th percentile: 16.64844727516174
99th percentile: 19.455434465408324
mean time: 5.712265253067017
%s, retrying in %s seconds...
Received healthy response to inference request in 1.8468124866485596s
Received healthy response to inference request in 1.8617298603057861s
Received healthy response to inference request in 1.600278615951538s
Received healthy response to inference request in 1.6951050758361816s
Received healthy response to inference request in 1.9253833293914795s
5 requests
0 failed requests
5th percentile: 1.6192439079284668
10th percentile: 1.6382091999053956
20th percentile: 1.6761397838592529
30th percentile: 1.7254465579986573
40th percentile: 1.7861295223236084
50th percentile: 1.8468124866485596
60th percentile: 1.8527794361114502
70th percentile: 1.858746385574341
80th percentile: 1.874460554122925
90th percentile: 1.8999219417572022
95th percentile: 1.9126526355743407
99th percentile: 1.9228371906280517
mean time: 1.785861873626709
Pipeline stage StressChecker completed in 40.22s
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 0.82s
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-066126_v61 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 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v61-profiler
Waiting for inference service junhua024-chai-1-full-066126-v61-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 5917.44s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v61 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v61 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v61 status is now torndown due to DeploymentManager action