junhua024-chai-06-full-_23800

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_23800_v3
model_name: junhua024-chai-06-full-_23800_v3
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T16:33:03+00:00
num_battles: 6010
num_wins: 3049
celo_rating: 1278.53
family_friendly_score: 0.5516
family_friendly_standard_error: 0.007033312732987209
submission_type: basic
model_repo: junhua024/chai_06_full_02102_1619_2124
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': 0.5931300214772738, 'latency_mean': 1.685857481956482, 'latency_p50': 1.6881591081619263, 'latency_p90': 1.8598195552825927}, {'batch_size': 3, 'throughput': 1.0719787856001906, 'latency_mean': 2.7875547087192536, 'latency_p50': 2.8054189682006836, 'latency_p90': 3.037791109085083}, {'batch_size': 5, 'throughput': 1.2899823406405382, 'latency_mean': 3.8485474133491517, 'latency_p50': 3.8421257734298706, 'latency_p90': 4.30889892578125}, {'batch_size': 6, 'throughput': 1.3452425367298644, 'latency_mean': 4.425185012817383, 'latency_p50': 4.420079231262207, 'latency_p90': 4.976452374458313}, {'batch_size': 8, 'throughput': 1.4068727771054808, 'latency_mean': 5.656251962184906, 'latency_p50': 5.60908305644989, 'latency_p90': 6.381899523735046}, {'batch_size': 10, 'throughput': 1.4389500136917628, 'latency_mean': 6.8940993475914, 'latency_p50': 6.9365843534469604, 'latency_p90': 7.69134156703949}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_23800_v3
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_1619_2124
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-17
win_ratio: 0.5073211314475874
generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 10, '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': "{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-06-full-23800-v3-mkmlizer
Waiting for job on junhua024-chai-06-full-23800-v3-mkmlizer to finish
junhua024-chai-06-full-23800-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-23800-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-23800-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-23800-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-23800-v3-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-06-full-23800-v3-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-06-full-23800-v3-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-06-full-23800-v3-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-06-full-23800-v3-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-06-full-23800-v3-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
Failed to get response for submission zmeeks-capitanito-53_v13: HTTPConnectionPool(host='zmeeks-capitanito-53-v13-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-23800-v3-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-06-full-23800-v3-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-06-full-23800-v3-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`
Failed to get response for submission chaiml-20250611-retune-u_1558_v9: HTTPConnectionPool(host='chaiml-20250611-retune-u-1558-v9-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-23800-v3-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-06-full-23800-v3-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-06-full-23800-v3-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-06-full-23800-v3-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-06-full-23800-v3-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-06-full-23800-v3-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`
Failed to get response for submission zmeeks-capitanito-53_v12: HTTPConnectionPool(host='zmeeks-capitanito-53-v12-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-23800-v3-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-06-full-23800-v3-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-06-full-23800-v3-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`
Retrying (%r) after connection broken by '%r': %s
junhua024-chai-06-full-23800-v3-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-06-full-23800-v3-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-06-full-23800-v3-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-06-full-23800-v3-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-06-full-23800-v3-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-06-full-23800-v3-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-06-full-23800-v3-mkmlizer: Downloaded to shared memory in 457.531s
junhua024-chai-06-full-23800-v3-mkmlizer: Checking if junhua024/chai_06_full_02102_1619_2124 already exists in ChaiML
junhua024-chai-06-full-23800-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4vnd27am, device:0
junhua024-chai-06-full-23800-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-23800-v3-mkmlizer: quantized model in 32.003s
junhua024-chai-06-full-23800-v3-mkmlizer: Processed model junhua024/chai_06_full_02102_1619_2124 in 489.636s
junhua024-chai-06-full-23800-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-23800-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-23800-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v3/nvidia
junhua024-chai-06-full-23800-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v3/nvidia/config.json
junhua024-chai-06-full-23800-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v3/nvidia/special_tokens_map.json
junhua024-chai-06-full-23800-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v3/nvidia/tokenizer_config.json
junhua024-chai-06-full-23800-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v3/nvidia/tokenizer.json
junhua024-chai-06-full-23800-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v3/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-23800-v3-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:25, 14.43it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:21, 16.70it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:12, 27.15it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:12, 28.01it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:11, 29.97it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:08, 40.95it/s]
Loading 0:  10%|▉         | 36/363 [00:01<00:10, 31.75it/s]
Loading 0:  11%|█▏        | 41/363 [00:01<00:09, 32.98it/s]
Loading 0:  14%|█▍        | 50/363 [00:01<00:07, 40.41it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:08, 34.40it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:09, 33.60it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:08, 34.55it/s]
Loading 0:  19%|█▉        | 69/363 [00:02<00:08, 33.56it/s]
Loading 0:  21%|██        | 75/363 [00:02<00:08, 33.76it/s]
Loading 0:  22%|██▏       | 80/363 [00:02<00:08, 32.23it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:07, 36.63it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:07, 35.12it/s]
Loading 0:  27%|██▋       | 97/363 [00:02<00:07, 34.86it/s]
Loading 0:  28%|██▊       | 101/363 [00:03<00:07, 35.05it/s]
Loading 0:  29%|██▉       | 105/363 [00:03<00:07, 33.31it/s]
Loading 0:  31%|███       | 113/363 [00:03<00:06, 39.04it/s]
Loading 0:  32%|███▏      | 117/363 [00:03<00:07, 31.21it/s]
Loading 0:  34%|███▎      | 122/363 [00:03<00:07, 33.04it/s]
Loading 0:  35%|███▌      | 128/363 [00:03<00:06, 34.84it/s]
Loading 0:  36%|███▋      | 132/363 [00:03<00:06, 33.13it/s]
Loading 0:  38%|███▊      | 138/363 [00:04<00:06, 33.66it/s]
Loading 0:  39%|███▉      | 143/363 [00:04<00:06, 33.54it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:06, 34.66it/s]
Loading 0:  43%|████▎     | 155/363 [00:04<00:05, 39.97it/s]
Loading 0:  44%|████▍     | 160/363 [00:04<00:05, 36.82it/s]
Loading 0:  45%|████▌     | 164/363 [00:04<00:05, 35.65it/s]
Loading 0:  46%|████▋     | 168/363 [00:04<00:05, 33.32it/s]
Loading 0:  48%|████▊     | 176/363 [00:05<00:04, 39.56it/s]
Loading 0:  50%|████▉     | 180/363 [00:05<00:05, 32.05it/s]
Loading 0:  51%|█████     | 185/363 [00:05<00:05, 34.23it/s]
Loading 0:  53%|█████▎    | 191/363 [00:05<00:04, 35.84it/s]
Loading 0:  54%|█████▎    | 195/363 [00:05<00:04, 34.69it/s]
Loading 0:  55%|█████▌    | 201/363 [00:05<00:04, 34.87it/s]
Loading 0:  57%|█████▋    | 206/363 [00:06<00:04, 34.62it/s]
Loading 0:  58%|█████▊    | 212/363 [00:06<00:04, 35.63it/s]
Loading 0:  61%|██████    | 220/363 [00:06<00:03, 45.22it/s]
Loading 0:  62%|██████▏   | 225/363 [00:06<00:04, 34.11it/s]
Loading 0:  63%|██████▎   | 230/363 [00:06<00:04, 32.87it/s]
Loading 0:  65%|██████▍   | 235/363 [00:06<00:03, 36.19it/s]
Loading 0:  66%|██████▌   | 240/363 [00:06<00:03, 35.33it/s]
Loading 0:  67%|██████▋   | 244/363 [00:07<00:03, 33.94it/s]
Loading 0:  68%|██████▊   | 248/363 [00:07<00:03, 33.25it/s]
Loading 0:  70%|██████▉   | 254/363 [00:07<00:03, 35.50it/s]
Loading 0:  71%|███████   | 258/363 [00:07<00:03, 34.67it/s]
Loading 0:  73%|███████▎  | 264/363 [00:07<00:02, 35.55it/s]
Loading 0:  74%|███████▍  | 269/363 [00:07<00:02, 35.04it/s]
Loading 0:  76%|███████▌  | 275/363 [00:07<00:02, 35.94it/s]
Loading 0:  77%|███████▋  | 281/363 [00:08<00:01, 41.17it/s]
Loading 0:  79%|███████▉  | 286/363 [00:08<00:01, 38.83it/s]
Loading 0:  80%|████████  | 291/363 [00:08<00:01, 37.61it/s]
Loading 0:  81%|████████▏ | 295/363 [00:08<00:01, 36.88it/s]
Loading 0:  83%|████████▎ | 301/363 [00:08<00:01, 42.41it/s]
Loading 0:  84%|████████▍ | 306/363 [00:08<00:01, 28.60it/s]
Loading 0:  86%|████████▌ | 311/363 [00:09<00:01, 29.42it/s]
Loading 0:  87%|████████▋ | 317/363 [00:09<00:01, 30.66it/s]
Loading 0:  88%|████████▊ | 321/363 [00:09<00:01, 29.76it/s]
Loading 0:  90%|████████▉ | 325/363 [00:09<00:01, 31.36it/s]
Loading 0:  91%|█████████ | 329/363 [00:09<00:01, 31.76it/s]
Loading 0:  92%|█████████▏| 333/363 [00:09<00:01, 29.15it/s]
Loading 0:  93%|█████████▎| 338/363 [00:09<00:00, 30.89it/s]
Loading 0:  95%|█████████▍| 344/363 [00:10<00:00, 37.18it/s]
Loading 0:  96%|█████████▌| 349/363 [00:10<00:00, 24.64it/s]
Loading 0:  97%|█████████▋| 353/363 [00:10<00:00, 22.47it/s]
Loading 0:  98%|█████████▊| 357/363 [00:10<00:00, 24.36it/s]
                                                            
Job junhua024-chai-06-full-23800-v3-mkmlizer completed after 532.66s with status: succeeded
Stopping job with name junhua024-chai-06-full-23800-v3-mkmlizer
Pipeline stage MKMLizer completed in 533.19s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-23800-v3
Waiting for inference service junhua024-chai-06-full-23800-v3 to be ready
Unable to record family friendly update due to error: HTTPConnectionPool(host='chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x7d013c51ae50>, 'Connection to chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
Inference service junhua024-chai-06-full-23800-v3 ready after 311.2488040924072s
Pipeline stage MKMLDeployer completed in 312.09s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 7.466883420944214s
Received healthy response to inference request in 2.1315290927886963s
Received healthy response to inference request in 1.7593615055084229s
Received healthy response to inference request in 1.5001461505889893s
Received healthy response to inference request in 6.632876634597778s
5 requests
0 failed requests
5th percentile: 1.5519892215728759
10th percentile: 1.6038322925567627
20th percentile: 1.7075184345245362
30th percentile: 1.8337950229644775
40th percentile: 1.982662057876587
50th percentile: 2.1315290927886963
60th percentile: 3.9320681095123287
70th percentile: 5.732607126235961
80th percentile: 6.799677991867066
90th percentile: 7.13328070640564
95th percentile: 7.300082063674926
99th percentile: 7.433523149490356
mean time: 3.89815936088562
%s, retrying in %s seconds...
Received healthy response to inference request in 7.110670804977417s
Received healthy response to inference request in 2.584627151489258s
Received healthy response to inference request in 6.75617790222168s
Received healthy response to inference request in 1.8960423469543457s
Received healthy response to inference request in 2.112438678741455s
5 requests
0 failed requests
5th percentile: 1.9393216133117677
10th percentile: 1.9826008796691894
20th percentile: 2.069159412384033
30th percentile: 2.2068763732910157
40th percentile: 2.3957517623901365
50th percentile: 2.584627151489258
60th percentile: 4.253247451782226
70th percentile: 5.921867752075195
80th percentile: 6.827076482772827
90th percentile: 6.968873643875122
95th percentile: 7.03977222442627
99th percentile: 7.096491088867188
mean time: 4.091991376876831
%s, retrying in %s seconds...
Received healthy response to inference request in 1.5507087707519531s
Received healthy response to inference request in 1.5693426132202148s
Received healthy response to inference request in 1.5208632946014404s
Received healthy response to inference request in 2.1234583854675293s
Received healthy response to inference request in 1.8549437522888184s
5 requests
0 failed requests
5th percentile: 1.526832389831543
10th percentile: 1.5328014850616456
20th percentile: 1.5447396755218505
30th percentile: 1.5544355392456055
40th percentile: 1.56188907623291
50th percentile: 1.5693426132202148
60th percentile: 1.6835830688476563
70th percentile: 1.7978235244750975
80th percentile: 1.9086466789245606
90th percentile: 2.0160525321960447
95th percentile: 2.069755458831787
99th percentile: 2.112717800140381
mean time: 1.7238633632659912
Pipeline stage StressChecker completed in 53.33s
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 6.77s
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 0.73s
Shutdown handler de-registered
junhua024-chai-06-full-_23800_v3 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 0.16s
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-06-full-23800-v3-profiler
Waiting for inference service junhua024-chai-06-full-23800-v3-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3068.11s
Shutdown handler de-registered
junhua024-chai-06-full-_23800_v3 status is now inactive due to auto deactivation removed underperforming models
Tearing down inference service junhua024-chai-06-full-31336-v1
junhua024-chai-06-full-_23800_v3 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_23800_v3 status is now torndown due to DeploymentManager action