junhua024-chai-11-full-_99974

developer_uid: junhua024
submission_id: junhua024-chai-11-full-_99974_v3
model_name: junhua024-chai-11-full-_99974_v3
model_group: junhua024/chai_11_full_q
status: torndown
timestamp: 2025-07-20T11:52:14+00:00
num_battles: 7303
num_wins: 3387
celo_rating: 1245.89
family_friendly_score: 0.5978
family_friendly_standard_error: 0.0069344813793102075
submission_type: basic
model_repo: junhua024/chai_11_full_qkv102_o106_ffn106_1925
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': 0.6044197843674852, 'latency_mean': 1.6543689036369325, 'latency_p50': 1.653612494468689, 'latency_p90': 1.8465709447860716}, {'batch_size': 3, 'throughput': 1.0864905054146676, 'latency_mean': 2.749960187673569, 'latency_p50': 2.742467761039734, 'latency_p90': 3.035938858985901}, {'batch_size': 5, 'throughput': 1.3051932225195377, 'latency_mean': 3.8138114845752717, 'latency_p50': 3.8370171785354614, 'latency_p90': 4.238323402404785}, {'batch_size': 6, 'throughput': 1.3682514747839394, 'latency_mean': 4.36109566450119, 'latency_p50': 4.373828291893005, 'latency_p90': 4.922671580314637}, {'batch_size': 8, 'throughput': 1.448125366333799, 'latency_mean': 5.491679338216781, 'latency_p50': 5.500285029411316, 'latency_p90': 6.180707406997681}, {'batch_size': 10, 'throughput': 1.4751316613453056, 'latency_mean': 6.723004199266434, 'latency_p50': 6.718877673149109, 'latency_p90': 7.476597023010254}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-11-full-_99974_v3
is_internal_developer: False
language_model: junhua024/chai_11_full_qkv102_o106_ffn106_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-20
win_ratio: 0.46378200739422154
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-11-full-99974-v3-mkmlizer
Waiting for job on junhua024-chai-11-full-99974-v3-mkmlizer to finish
junhua024-chai-11-full-99974-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-11-full-99974-v3-mkmlizer: ║                                                                     ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║                                                                     ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║                                                                     ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║                                                                     ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-11-full-99974-v3-mkmlizer: ║                                                                     ║
junhua024-chai-11-full-99974-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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 mistralai-mistral-nem_93303_v522: HTTPConnectionPool(host='mistralai-mistral-nem-93303-v522-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-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-11-full-99974-v3-mkmlizer: Downloaded to shared memory in 115.816s
junhua024-chai-11-full-99974-v3-mkmlizer: Checking if junhua024/chai_11_full_qkv102_o106_ffn106_1925 already exists in ChaiML
junhua024-chai-11-full-99974-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4j2439w1, device:0
junhua024-chai-11-full-99974-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission mistralai-mistral-nem_93303_v522: HTTPConnectionPool(host='mistralai-mistral-nem-93303-v522-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-11-full-99974-v3-mkmlizer: quantized model in 38.870s
junhua024-chai-11-full-99974-v3-mkmlizer: Processed model junhua024/chai_11_full_qkv102_o106_ffn106_1925 in 154.765s
junhua024-chai-11-full-99974-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-11-full-99974-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-11-full-99974-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-11-full-99974-v3/nvidia
junhua024-chai-11-full-99974-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-11-full-99974-v3/nvidia/special_tokens_map.json
junhua024-chai-11-full-99974-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-11-full-99974-v3/nvidia/config.json
junhua024-chai-11-full-99974-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-11-full-99974-v3/nvidia/tokenizer_config.json
junhua024-chai-11-full-99974-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-11-full-99974-v3/nvidia/tokenizer.json
junhua024-chai-11-full-99974-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-11-full-99974-v3/nvidia/flywheel_model.0.safetensors
junhua024-chai-11-full-99974-v3-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:21, 16.54it/s]
Loading 0:   1%|          | 4/363 [00:00<00:31, 11.24it/s]
Loading 0:   2%|▏         | 6/363 [00:00<00:31, 11.26it/s]
Loading 0:   3%|▎         | 10/363 [00:00<00:20, 17.02it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:28, 12.53it/s]
Loading 0:   4%|▍         | 16/363 [00:01<00:20, 16.56it/s]
Loading 0:   5%|▍         | 18/363 [00:01<00:20, 16.81it/s]
Loading 0:   6%|▋         | 23/363 [00:01<00:15, 21.93it/s]
Loading 0:   8%|▊         | 29/363 [00:01<00:11, 30.11it/s]
Loading 0:   9%|▉         | 34/363 [00:01<00:11, 29.39it/s]
Loading 0:  10%|█         | 38/363 [00:01<00:10, 29.89it/s]
Loading 0:  12%|█▏        | 42/363 [00:01<00:11, 28.64it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:08, 35.75it/s]
Loading 0:  14%|█▍        | 52/363 [00:02<00:10, 30.15it/s]
Loading 0:  15%|█▌        | 56/363 [00:02<00:09, 31.03it/s]
Loading 0:  17%|█▋        | 60/363 [00:02<00:10, 30.28it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:10, 29.65it/s]
Loading 0:  19%|█▉        | 69/363 [00:02<00:10, 29.31it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:08, 33.20it/s]
Loading 0:  21%|██▏       | 78/363 [00:02<00:08, 34.01it/s]
Loading 0:  23%|██▎       | 82/363 [00:03<00:10, 27.74it/s]
Loading 0:  24%|██▎       | 86/363 [00:03<00:09, 28.93it/s]
Loading 0:  25%|██▌       | 91/363 [00:03<00:09, 29.68it/s]
Loading 0:  26%|██▋       | 96/363 [00:03<00:07, 34.05it/s]
Loading 0:  28%|██▊       | 100/363 [00:03<00:09, 27.07it/s]
Loading 0:  29%|██▊       | 104/363 [00:03<00:09, 26.65it/s]
Loading 0:  31%|███       | 113/363 [00:04<00:06, 35.79it/s]
Loading 0:  32%|███▏      | 117/363 [00:04<00:08, 28.62it/s]
Loading 0:  34%|███▎      | 122/363 [00:04<00:08, 29.53it/s]
Loading 0:  35%|███▍      | 127/363 [00:04<00:07, 33.26it/s]
Loading 0:  36%|███▌      | 131/363 [00:04<00:08, 26.47it/s]
Loading 0:  38%|███▊      | 137/363 [00:04<00:07, 32.21it/s]
Loading 0:  39%|███▉      | 141/363 [00:05<00:06, 32.91it/s]
Loading 0:  40%|███▉      | 145/363 [00:05<00:07, 29.54it/s]
Loading 0:  41%|████      | 149/363 [00:05<00:07, 28.47it/s]
Loading 0:  43%|████▎     | 155/363 [00:05<00:06, 32.96it/s]
Loading 0:  44%|████▍     | 160/363 [00:05<00:06, 31.08it/s]
Loading 0:  45%|████▌     | 164/363 [00:05<00:06, 30.63it/s]
Loading 0:  46%|████▋     | 168/363 [00:06<00:06, 28.75it/s]
Loading 0:  48%|████▊     | 174/363 [00:06<00:05, 35.20it/s]
Loading 0:  49%|████▉     | 178/363 [00:06<00:06, 29.76it/s]
Loading 0:  50%|█████     | 182/363 [00:06<00:06, 30.13it/s]
Loading 0:  51%|█████     | 186/363 [00:06<00:06, 29.36it/s]
Loading 0:  53%|█████▎    | 191/363 [00:06<00:05, 29.20it/s]
Loading 0:  54%|█████▎    | 195/363 [00:06<00:05, 28.88it/s]
Loading 0:  55%|█████▌    | 200/363 [00:07<00:04, 32.61it/s]
Loading 0:  56%|█████▌    | 204/363 [00:07<00:04, 33.13it/s]
Loading 0:  57%|█████▋    | 208/363 [00:07<00:05, 29.57it/s]
Loading 0:  58%|█████▊    | 212/363 [00:07<00:05, 28.58it/s]
Loading 0:  60%|██████    | 218/363 [00:07<00:04, 34.65it/s]
Loading 0:  61%|██████▏   | 223/363 [00:07<00:04, 32.59it/s]
Loading 0:  63%|██████▎   | 227/363 [00:07<00:04, 32.10it/s]
Loading 0:  64%|██████▎   | 231/363 [00:08<00:04, 29.67it/s]
Loading 0:  65%|██████▌   | 237/363 [00:08<00:03, 36.21it/s]
Loading 0:  66%|██████▋   | 241/363 [00:08<00:03, 31.18it/s]
Loading 0:  67%|██████▋   | 245/363 [00:08<00:03, 31.41it/s]
Loading 0:  69%|██████▊   | 249/363 [00:08<00:03, 29.79it/s]
Loading 0:  70%|██████▉   | 254/363 [00:08<00:03, 29.16it/s]
Loading 0:  71%|███████   | 258/363 [00:08<00:03, 28.90it/s]
Loading 0:  72%|███████▏  | 263/363 [00:09<00:03, 33.01it/s]
Loading 0:  74%|███████▎  | 267/363 [00:09<00:02, 33.41it/s]
Loading 0:  75%|███████▍  | 271/363 [00:09<00:03, 29.36it/s]
Loading 0:  76%|███████▌  | 275/363 [00:09<00:03, 28.41it/s]
Loading 0:  77%|███████▋  | 281/363 [00:09<00:02, 33.81it/s]
Loading 0:  79%|███████▉  | 286/363 [00:09<00:02, 32.09it/s]
Loading 0:  80%|███████▉  | 290/363 [00:09<00:02, 31.64it/s]
Loading 0:  81%|████████  | 294/363 [00:10<00:02, 29.68it/s]
Loading 0:  83%|████████▎ | 301/363 [00:10<00:01, 38.55it/s]
Loading 0:  84%|████████▍ | 306/363 [00:10<00:02, 28.24it/s]
Loading 0:  86%|████████▌ | 311/363 [00:10<00:01, 29.60it/s]
Loading 0:  87%|████████▋ | 317/363 [00:10<00:01, 30.90it/s]
Loading 0:  88%|████████▊ | 321/363 [00:10<00:01, 29.91it/s]
Loading 0:  90%|████████▉ | 326/363 [00:11<00:01, 32.60it/s]
Loading 0:  91%|█████████ | 330/363 [00:11<00:00, 33.74it/s]
Loading 0:  92%|█████████▏| 334/363 [00:11<00:00, 30.07it/s]
Loading 0:  93%|█████████▎| 338/363 [00:11<00:00, 28.90it/s]
Loading 0:  95%|█████████▍| 344/363 [00:11<00:00, 34.36it/s]
Loading 0:  96%|█████████▌| 349/363 [00:11<00:00, 23.62it/s]
Loading 0:  97%|█████████▋| 352/363 [00:12<00:00, 20.19it/s]
Loading 0:  98%|█████████▊| 357/363 [00:12<00:00, 23.60it/s]
                                                            
Job junhua024-chai-11-full-99974-v3-mkmlizer completed after 182.02s with status: succeeded
Stopping job with name junhua024-chai-11-full-99974-v3-mkmlizer
Pipeline stage MKMLizer completed in 182.79s
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-11-full-99974-v3
Waiting for inference service junhua024-chai-11-full-99974-v3 to be ready
Inference service junhua024-chai-11-full-99974-v3 ready after 332.8111231327057s
Pipeline stage MKMLDeployer completed in 333.38s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9163296222686768s
Received healthy response to inference request in 1.549156904220581s
Received healthy response to inference request in 1.509537935256958s
Received healthy response to inference request in 1.748708724975586s
Received healthy response to inference request in 1.6130614280700684s
5 requests
0 failed requests
5th percentile: 1.5174617290496826
10th percentile: 1.5253855228424071
20th percentile: 1.5412331104278565
30th percentile: 1.5619378089904785
40th percentile: 1.5874996185302734
50th percentile: 1.6130614280700684
60th percentile: 1.6673203468322755
70th percentile: 1.7215792655944824
80th percentile: 1.9822329044342042
90th percentile: 2.4492812633514407
95th percentile: 2.6828054428100585
99th percentile: 2.8696247863769533
mean time: 1.867358922958374
Pipeline stage StressChecker completed in 10.92s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.72s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.76s
Shutdown handler de-registered
junhua024-chai-11-full-_99974_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 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-11-full-99974-v3-profiler
Waiting for inference service junhua024-chai-11-full-99974-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 2946.84s
Shutdown handler de-registered
junhua024-chai-11-full-_99974_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-11-full-_99974_v3 status is now torndown due to DeploymentManager action