junhua024-chai-06-full-_31336

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_31336_v1
model_name: junhua024-chai-06-full-_31336_v1
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T12:06:57+00:00
num_battles: 5912
num_wins: 2949
celo_rating: 1281.03
family_friendly_score: 0.5549999999999999
family_friendly_standard_error: 0.007028157653325657
submission_type: basic
model_repo: junhua024/chai_06_full_02102_1619
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': 0.5953233033869424, 'latency_mean': 1.6796312725543976, 'latency_p50': 1.6691815853118896, 'latency_p90': 1.857561707496643}, {'batch_size': 3, 'throughput': 1.062398547453353, 'latency_mean': 2.8155222392082213, 'latency_p50': 2.8116143941879272, 'latency_p90': 3.092572522163391}, {'batch_size': 5, 'throughput': 1.280592166405391, 'latency_mean': 3.8899601769447325, 'latency_p50': 3.8833855390548706, 'latency_p90': 4.32463309764862}, {'batch_size': 6, 'throughput': 1.3338905245990877, 'latency_mean': 4.468026647567749, 'latency_p50': 4.49092710018158, 'latency_p90': 5.098549580574035}, {'batch_size': 8, 'throughput': 1.381415009615223, 'latency_mean': 5.757398999929428, 'latency_p50': 5.7844706773757935, 'latency_p90': 6.412935781478882}, {'batch_size': 10, 'throughput': 1.4131502196792363, 'latency_mean': 7.007666394710541, 'latency_p50': 7.0066899061203, 'latency_p90': 7.881464433670044}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_31336_v1
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_1619
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-17
win_ratio: 0.4988159675236806
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-31336-v1-mkmlizer
Waiting for job on junhua024-chai-06-full-31336-v1-mkmlizer to finish
junhua024-chai-06-full-31336-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-31336-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-31336-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31336-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-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-31336-v1-mkmlizer: Downloaded to shared memory in 121.812s
junhua024-chai-06-full-31336-v1-mkmlizer: Checking if junhua024/chai_06_full_02102_1619 already exists in ChaiML
junhua024-chai-06-full-31336-v1-mkmlizer: Creating repo ChaiML/chai_06_full_02102_1619 and uploading /tmp/tmpf459arzc to it
Failed to get response for submission junhua024-chai-06-full-_78554_v1: HTTPConnectionPool(host='junhua024-chai-06-full-78554-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-31336-v1-mkmlizer: 
  0%|          | 0/26 [00:00<?, ?it/s]
  4%|▍         | 1/26 [00:02<01:06,  2.67s/it]
  8%|▊         | 2/26 [00:04<00:48,  2.03s/it]
 12%|█▏        | 3/26 [00:06<00:46,  2.02s/it]
 15%|█▌        | 4/26 [00:08<00:44,  2.03s/it]
 19%|█▉        | 5/26 [00:11<00:49,  2.35s/it]
 23%|██▎       | 6/26 [00:13<00:45,  2.29s/it]
 27%|██▋       | 7/26 [00:15<00:40,  2.13s/it]
 31%|███       | 8/26 [00:18<00:46,  2.61s/it]
 35%|███▍      | 9/26 [00:20<00:41,  2.41s/it]
 38%|███▊      | 10/26 [00:23<00:39,  2.44s/it]
 42%|████▏     | 11/26 [00:27<00:42,  2.83s/it]
 46%|████▌     | 12/26 [00:28<00:33,  2.41s/it]
 50%|█████     | 13/26 [00:29<00:27,  2.14s/it]
 54%|█████▍    | 14/26 [00:32<00:26,  2.25s/it]
 58%|█████▊    | 15/26 [00:35<00:25,  2.36s/it]
 62%|██████▏   | 16/26 [00:37<00:22,  2.25s/it]
 65%|██████▌   | 17/26 [00:38<00:17,  1.96s/it]
 69%|██████▉   | 18/26 [00:40<00:14,  1.86s/it]
 73%|███████▎  | 19/26 [00:42<00:14,  2.01s/it]
 77%|███████▋  | 20/26 [00:44<00:12,  2.09s/it]
 81%|████████  | 21/26 [00:47<00:11,  2.34s/it]
 85%|████████▍ | 22/26 [00:53<00:13,  3.50s/it]
 88%|████████▊ | 23/26 [00:55<00:08,  2.97s/it]
 92%|█████████▏| 24/26 [00:57<00:05,  2.63s/it]
 96%|█████████▌| 25/26 [00:58<00:02,  2.26s/it]
100%|██████████| 26/26 [00:59<00:00,  1.93s/it]
100%|██████████| 26/26 [00:59<00:00,  2.30s/it]
junhua024-chai-06-full-31336-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpf459arzc, device:0
junhua024-chai-06-full-31336-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-31336-v1-mkmlizer: quantized model in 30.288s
junhua024-chai-06-full-31336-v1-mkmlizer: Processed model junhua024/chai_06_full_02102_1619 in 242.379s
junhua024-chai-06-full-31336-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-31336-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-31336-v1/nvidia
junhua024-chai-06-full-31336-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-31336-v1/nvidia/config.json
junhua024-chai-06-full-31336-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-31336-v1/nvidia/special_tokens_map.json
junhua024-chai-06-full-31336-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-31336-v1/nvidia/tokenizer_config.json
junhua024-chai-06-full-31336-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-31336-v1/nvidia/tokenizer.json
junhua024-chai-06-full-31336-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-31336-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-31336-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:23, 15.43it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:19, 18.31it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:11, 31.00it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:10, 33.04it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:09, 34.93it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:06, 49.00it/s]
Loading 0:  10%|█         | 38/363 [00:01<00:08, 38.78it/s]
Loading 0:  12%|█▏        | 43/363 [00:01<00:08, 38.32it/s]
Loading 0:  14%|█▍        | 50/363 [00:01<00:07, 42.45it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:08, 36.57it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:08, 35.99it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:07, 37.85it/s]
Loading 0:  19%|█▉        | 69/363 [00:01<00:08, 36.52it/s]
Loading 0:  21%|██        | 75/363 [00:02<00:07, 36.72it/s]
Loading 0:  22%|██▏       | 80/363 [00:02<00:08, 34.89it/s]
Loading 0:  25%|██▍       | 89/363 [00:02<00:06, 45.00it/s]
Loading 0:  26%|██▌       | 94/363 [00:02<00:06, 44.14it/s]
Loading 0:  27%|██▋       | 99/363 [00:02<00:08, 32.48it/s]
Loading 0:  29%|██▊       | 104/363 [00:02<00:07, 33.63it/s]
Loading 0:  31%|███       | 113/363 [00:02<00:05, 42.58it/s]
Loading 0:  33%|███▎      | 118/363 [00:03<00:06, 36.94it/s]
Loading 0:  34%|███▍      | 123/363 [00:03<00:06, 37.92it/s]
Loading 0:  35%|███▌      | 128/363 [00:03<00:06, 37.15it/s]
Loading 0:  36%|███▋      | 132/363 [00:03<00:06, 35.51it/s]
Loading 0:  38%|███▊      | 138/363 [00:03<00:06, 35.69it/s]
Loading 0:  39%|███▉      | 143/363 [00:03<00:06, 35.60it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:05, 36.43it/s]
Loading 0:  43%|████▎     | 155/363 [00:04<00:05, 41.44it/s]
Loading 0:  44%|████▍     | 160/363 [00:04<00:05, 39.73it/s]
Loading 0:  45%|████▌     | 165/363 [00:04<00:05, 39.21it/s]
Loading 0:  47%|████▋     | 170/363 [00:04<00:04, 40.40it/s]
Loading 0:  48%|████▊     | 176/363 [00:04<00:04, 42.94it/s]
Loading 0:  50%|████▉     | 181/363 [00:04<00:04, 36.54it/s]
Loading 0:  51%|█████     | 185/363 [00:04<00:05, 35.55it/s]
Loading 0:  53%|█████▎    | 191/363 [00:05<00:04, 37.42it/s]
Loading 0:  54%|█████▎    | 195/363 [00:05<00:04, 36.29it/s]
Loading 0:  55%|█████▌    | 201/363 [00:05<00:04, 36.37it/s]
Loading 0:  57%|█████▋    | 206/363 [00:05<00:04, 35.75it/s]
Loading 0:  58%|█████▊    | 212/363 [00:05<00:04, 36.72it/s]
Loading 0:  60%|██████    | 218/363 [00:05<00:03, 41.35it/s]
Loading 0:  61%|██████▏   | 223/363 [00:05<00:03, 39.79it/s]
Loading 0:  63%|██████▎   | 228/363 [00:06<00:03, 38.07it/s]
Loading 0:  64%|██████▍   | 232/363 [00:06<00:03, 37.46it/s]
Loading 0:  66%|██████▌   | 239/363 [00:06<00:02, 41.67it/s]
Loading 0:  67%|██████▋   | 244/363 [00:06<00:03, 35.36it/s]
Loading 0:  68%|██████▊   | 248/363 [00:06<00:03, 34.75it/s]
Loading 0:  70%|██████▉   | 254/363 [00:06<00:02, 37.03it/s]
Loading 0:  71%|███████   | 258/363 [00:06<00:02, 35.79it/s]
Loading 0:  73%|███████▎  | 264/363 [00:07<00:02, 36.32it/s]
Loading 0:  74%|███████▍  | 269/363 [00:07<00:02, 36.22it/s]
Loading 0:  76%|███████▌  | 275/363 [00:07<00:02, 37.31it/s]
Loading 0:  78%|███████▊  | 282/363 [00:07<00:01, 44.65it/s]
Loading 0:  79%|███████▉  | 287/363 [00:07<00:01, 39.29it/s]
Loading 0:  80%|████████  | 292/363 [00:07<00:01, 38.10it/s]
Loading 0:  82%|████████▏ | 298/363 [00:07<00:01, 38.55it/s]
Loading 0:  83%|████████▎ | 303/363 [00:08<00:01, 37.86it/s]
Loading 0:  85%|████████▍ | 307/363 [00:08<00:01, 36.01it/s]
Loading 0:  86%|████████▌ | 311/363 [00:08<00:01, 34.00it/s]
Loading 0:  87%|████████▋ | 317/363 [00:08<00:01, 35.70it/s]
Loading 0:  88%|████████▊ | 321/363 [00:08<00:01, 34.46it/s]
Loading 0:  90%|█████████ | 327/363 [00:08<00:01, 34.96it/s]
Loading 0:  91%|█████████▏| 332/363 [00:08<00:00, 34.78it/s]
Loading 0:  93%|█████████▎| 338/363 [00:09<00:00, 35.28it/s]
Loading 0:  95%|█████████▌| 346/363 [00:09<00:00, 44.86it/s]
Loading 0:  97%|█████████▋| 351/363 [00:09<00:00, 25.91it/s]
Loading 0:  98%|█████████▊| 355/363 [00:09<00:00, 28.06it/s]
Loading 0:  99%|█████████▉| 360/363 [00:09<00:00, 32.12it/s]
                                                            
Job junhua024-chai-06-full-31336-v1-mkmlizer completed after 274.51s with status: succeeded
Stopping job with name junhua024-chai-06-full-31336-v1-mkmlizer
Pipeline stage MKMLizer completed in 275.17s
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-06-full-31336-v1
Waiting for inference service junhua024-chai-06-full-31336-v1 to be ready
Inference service junhua024-chai-06-full-31336-v1 ready after 301.3388030529022s
Pipeline stage MKMLDeployer completed in 301.90s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.284933567047119s
Received healthy response to inference request in 1.789414644241333s
Received healthy response to inference request in 1.7327396869659424s
Received healthy response to inference request in 1.8775501251220703s
Received healthy response to inference request in 1.6009681224822998s
5 requests
0 failed requests
5th percentile: 1.6273224353790283
10th percentile: 1.6536767482757568
20th percentile: 1.7063853740692139
30th percentile: 1.7440746784210206
40th percentile: 1.7667446613311768
50th percentile: 1.789414644241333
60th percentile: 1.8246688365936279
70th percentile: 1.8599230289459228
80th percentile: 1.95902681350708
90th percentile: 2.1219801902770996
95th percentile: 2.2034568786621094
99th percentile: 2.2686382293701173
mean time: 1.857121229171753
Pipeline stage StressChecker completed in 11.47s
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 1.00s
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 0.74s
Shutdown handler de-registered
junhua024-chai-06-full-_31336_v1 status is now deployed due to DeploymentManager action
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 3039.71s
Shutdown handler de-registered
junhua024-chai-06-full-_31336_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_31336_v1 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_31336_v1 status is now torndown due to DeploymentManager action