junhua024-chai-06-full-_28726

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_28726_v1
model_name: junhua024-chai-06-full-_28726_v1
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T15:52:24+00:00
num_battles: 6729
num_wins: 3420
celo_rating: 1272.21
family_friendly_score: 0.5536
family_friendly_standard_error: 0.00703032061857779
submission_type: basic
model_repo: junhua024/chai_06_full_02102_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': 0.5958452837450628, 'latency_mean': 1.6781677579879761, 'latency_p50': 1.6668636798858643, 'latency_p90': 1.8555378198623658}, {'batch_size': 3, 'throughput': 1.0699245864337465, 'latency_mean': 2.799293202161789, 'latency_p50': 2.812344551086426, 'latency_p90': 3.0260493993759154}, {'batch_size': 5, 'throughput': 1.28221306774656, 'latency_mean': 3.879980536699295, 'latency_p50': 3.90996778011322, 'latency_p90': 4.338812685012817}, {'batch_size': 6, 'throughput': 1.3669168477667628, 'latency_mean': 4.364827768802643, 'latency_p50': 4.366952538490295, 'latency_p90': 4.924140119552612}, {'batch_size': 8, 'throughput': 1.4055879727762504, 'latency_mean': 5.648013443946838, 'latency_p50': 5.699804902076721, 'latency_p90': 6.313748264312744}, {'batch_size': 10, 'throughput': 1.4441739408428071, 'latency_mean': 6.868831803798676, 'latency_p50': 6.922477722167969, 'latency_p90': 7.6945801973342896}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_28726_v1
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_2124
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-17
win_ratio: 0.5082478823004905
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-28726-v1-mkmlizer
Waiting for job on junhua024-chai-06-full-28726-v1-mkmlizer to finish
Failed to get response for submission zmeeks-capitanito-54_v1: HTTPConnectionPool(host='zmeeks-capitanito-54-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-28726-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-28726-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-28726-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-28726-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-28726-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`
Failed to get response for submission zmeeks-capitanito-54_v1: HTTPConnectionPool(host='zmeeks-capitanito-54-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-8b-v1-llama3_64493_v3: HTTPConnectionPool(host='chaiml-nis-8b-v1-llama3-64493-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-v1-mkmlizer: Downloaded to shared memory in 125.738s
junhua024-chai-06-full-28726-v1-mkmlizer: Checking if junhua024/chai_06_full_02102_2124 already exists in ChaiML
junhua024-chai-06-full-28726-v1-mkmlizer: Creating repo ChaiML/chai_06_full_02102_2124 and uploading /tmp/tmpe7ez51d_ to it
Failed to get response for submission zmeeks-capitanito-54_v1: HTTPConnectionPool(host='zmeeks-capitanito-54-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
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-28726-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpe7ez51d_, device:0
junhua024-chai-06-full-28726-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-28726-v1-mkmlizer: quantized model in 31.238s
junhua024-chai-06-full-28726-v1-mkmlizer: Processed model junhua024/chai_06_full_02102_2124 in 257.415s
junhua024-chai-06-full-28726-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-28726-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-28726-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-28726-v1/nvidia
junhua024-chai-06-full-28726-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-28726-v1/nvidia/config.json
junhua024-chai-06-full-28726-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-28726-v1/nvidia/special_tokens_map.json
junhua024-chai-06-full-28726-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-28726-v1/nvidia/tokenizer_config.json
junhua024-chai-06-full-28726-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-28726-v1/nvidia/tokenizer.json
junhua024-chai-06-full-28726-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-28726-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-28726-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:21, 17.11it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:18, 19.15it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:11, 30.14it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:10, 31.58it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:09, 34.17it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:07, 45.60it/s]
Loading 0:  10%|▉         | 36/363 [00:01<00:09, 32.89it/s]
Loading 0:  11%|█▏        | 41/363 [00:01<00:09, 33.51it/s]
Loading 0:  14%|█▍        | 50/363 [00:01<00:07, 39.89it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:09, 33.62it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:09, 33.57it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:08, 35.40it/s]
Loading 0:  19%|█▉        | 69/363 [00:02<00:08, 34.50it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:07, 37.77it/s]
Loading 0:  21%|██▏       | 78/363 [00:02<00:07, 38.24it/s]
Loading 0:  23%|██▎       | 82/363 [00:02<00:08, 33.57it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:07, 35.03it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:07, 35.45it/s]
Loading 0:  27%|██▋       | 97/363 [00:02<00:07, 36.74it/s]
Loading 0:  28%|██▊       | 101/363 [00:02<00:07, 36.70it/s]
Loading 0:  29%|██▉       | 105/363 [00:03<00:07, 33.98it/s]
Loading 0:  31%|███       | 113/363 [00:03<00:06, 40.20it/s]
Loading 0:  32%|███▏      | 117/363 [00:03<00:07, 32.01it/s]
Loading 0:  34%|███▎      | 122/363 [00:03<00:07, 33.90it/s]
Loading 0:  35%|███▌      | 128/363 [00:03<00:06, 35.48it/s]
Loading 0:  36%|███▋      | 132/363 [00:03<00:06, 33.67it/s]
Loading 0:  38%|███▊      | 137/363 [00:03<00:06, 37.15it/s]
Loading 0:  39%|███▉      | 141/363 [00:04<00:05, 37.46it/s]
Loading 0:  40%|███▉      | 145/363 [00:04<00:06, 31.86it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:06, 30.62it/s]
Loading 0:  43%|████▎     | 155/363 [00:04<00:05, 36.90it/s]
Loading 0:  44%|████▍     | 160/363 [00:04<00:05, 34.97it/s]
Loading 0:  45%|████▌     | 164/363 [00:04<00:05, 34.95it/s]
Loading 0:  46%|████▋     | 168/363 [00:04<00:06, 32.46it/s]
Loading 0:  48%|████▊     | 176/363 [00:05<00:04, 38.52it/s]
Loading 0:  50%|████▉     | 180/363 [00:05<00:05, 31.12it/s]
Loading 0:  51%|█████     | 185/363 [00:05<00:05, 33.28it/s]
Loading 0:  53%|█████▎    | 191/363 [00:05<00:04, 34.48it/s]
Loading 0:  54%|█████▎    | 195/363 [00:05<00:05, 33.43it/s]
Loading 0:  55%|█████▌    | 200/363 [00:05<00:04, 36.52it/s]
Loading 0:  56%|█████▌    | 204/363 [00:05<00:04, 37.31it/s]
Loading 0:  57%|█████▋    | 208/363 [00:06<00:04, 31.91it/s]
Loading 0:  58%|█████▊    | 212/363 [00:06<00:04, 30.93it/s]
Loading 0:  60%|██████    | 218/363 [00:06<00:03, 37.13it/s]
Loading 0:  61%|██████▏   | 223/363 [00:06<00:04, 34.34it/s]
Loading 0:  63%|██████▎   | 227/363 [00:06<00:04, 32.75it/s]
Loading 0:  64%|██████▎   | 231/363 [00:06<00:04, 31.07it/s]
Loading 0:  65%|██████▌   | 237/363 [00:06<00:03, 37.68it/s]
Loading 0:  67%|██████▋   | 242/363 [00:07<00:03, 32.06it/s]
Loading 0:  68%|██████▊   | 246/363 [00:07<00:03, 32.05it/s]
Loading 0:  69%|██████▉   | 250/363 [00:07<00:03, 32.60it/s]
Loading 0:  70%|██████▉   | 254/363 [00:07<00:03, 29.85it/s]
Loading 0:  71%|███████   | 258/363 [00:07<00:03, 30.20it/s]
Loading 0:  72%|███████▏  | 263/363 [00:07<00:02, 34.40it/s]
Loading 0:  74%|███████▎  | 267/363 [00:07<00:02, 35.37it/s]
Loading 0:  75%|███████▍  | 271/363 [00:07<00:02, 31.18it/s]
Loading 0:  76%|███████▌  | 275/363 [00:08<00:02, 30.43it/s]
Loading 0:  77%|███████▋  | 281/363 [00:08<00:02, 36.25it/s]
Loading 0:  79%|███████▉  | 286/363 [00:08<00:02, 33.90it/s]
Loading 0:  80%|███████▉  | 290/363 [00:08<00:02, 33.92it/s]
Loading 0:  81%|████████  | 294/363 [00:08<00:02, 32.18it/s]
Loading 0:  83%|████████▎ | 302/363 [00:08<00:01, 38.33it/s]
Loading 0:  84%|████████▍ | 306/363 [00:08<00:01, 31.50it/s]
Loading 0:  86%|████████▌ | 311/363 [00:09<00:01, 33.34it/s]
Loading 0:  87%|████████▋ | 317/363 [00:09<00:01, 34.83it/s]
Loading 0:  88%|████████▊ | 321/363 [00:09<00:01, 33.50it/s]
Loading 0:  90%|████████▉ | 326/363 [00:09<00:01, 36.96it/s]
Loading 0:  91%|█████████ | 330/363 [00:09<00:00, 36.75it/s]
Loading 0:  92%|█████████▏| 334/363 [00:09<00:00, 32.54it/s]
Loading 0:  93%|█████████▎| 338/363 [00:09<00:00, 31.80it/s]
Loading 0:  95%|█████████▍| 344/363 [00:10<00:00, 38.49it/s]
Loading 0:  96%|█████████▌| 349/363 [00:10<00:00, 25.69it/s]
Loading 0:  97%|█████████▋| 353/363 [00:10<00:00, 23.96it/s]
Loading 0:  98%|█████████▊| 357/363 [00:10<00:00, 25.88it/s]
                                                            
Job junhua024-chai-06-full-28726-v1-mkmlizer completed after 284.27s with status: succeeded
Stopping job with name junhua024-chai-06-full-28726-v1-mkmlizer
Pipeline stage MKMLizer completed in 284.80s
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-28726-v1
Waiting for inference service junhua024-chai-06-full-28726-v1 to be ready
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)
Inference service junhua024-chai-06-full-28726-v1 ready after 301.07018208503723s
Pipeline stage MKMLDeployer completed in 301.61s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9185173511505127s
Received healthy response to inference request in 1.9220755100250244s
Received healthy response to inference request in 1.6551532745361328s
Received healthy response to inference request in 6.66301965713501s
Received healthy response to inference request in 1.8597350120544434s
5 requests
0 failed requests
5th percentile: 1.6960696220397948
10th percentile: 1.736985969543457
20th percentile: 1.8188186645507813
30th percentile: 1.8722031116485596
40th percentile: 1.897139310836792
50th percentile: 1.9220755100250244
60th percentile: 2.3206522464752197
70th percentile: 2.719228982925415
80th percentile: 3.667417812347413
90th percentile: 5.165218734741211
95th percentile: 5.91411919593811
99th percentile: 6.513239564895629
mean time: 3.0037001609802245
Pipeline stage StressChecker completed in 16.71s
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 0.92s
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 0.67s
Shutdown handler de-registered
junhua024-chai-06-full-_28726_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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5038.26s
Shutdown handler de-registered
junhua024-chai-06-full-_28726_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_28726_v1 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_28726_v1 status is now torndown due to DeploymentManager action