junhua024-chai-16-full-_35624

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_35624_v5
model_name: junhua024-chai-16-full-_35624_v5
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-19T11:58:14+00:00
num_battles: 9612
num_wins: 4659
celo_rating: 1275.55
family_friendly_score: 0.5509999999999999
family_friendly_standard_error: 0.007034187941759872
submission_type: basic
model_repo: junhua024/chai_16_full_102_o_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': 0.600750537987614, 'latency_mean': 1.6644596934318543, 'latency_p50': 1.6694835424423218, 'latency_p90': 1.8306397914886474}, {'batch_size': 3, 'throughput': 1.0917857293664968, 'latency_mean': 2.73946266412735, 'latency_p50': 2.722781538963318, 'latency_p90': 3.066577649116516}, {'batch_size': 5, 'throughput': 1.291928528128913, 'latency_mean': 3.849098826646805, 'latency_p50': 3.848501682281494, 'latency_p90': 4.286559653282166}, {'batch_size': 6, 'throughput': 1.3622915341182542, 'latency_mean': 4.3743711030483245, 'latency_p50': 4.350876092910767, 'latency_p90': 4.900385594367981}, {'batch_size': 8, 'throughput': 1.4317707004017735, 'latency_mean': 5.554016094207764, 'latency_p50': 5.538084864616394, 'latency_p90': 6.333254265785217}, {'batch_size': 10, 'throughput': 1.461505556057401, 'latency_mean': 6.798504679203034, 'latency_p50': 6.827261805534363, 'latency_p90': 7.614264869689941}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_35624_v5
is_internal_developer: False
language_model: junhua024/chai_16_full_102_o_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-19
win_ratio: 0.48470661672908866
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-16-full-35624-v5-mkmlizer
Waiting for job on junhua024-chai-16-full-35624-v5-mkmlizer to finish
junhua024-chai-16-full-35624-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-16-full-35624-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-35624-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-35624-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-35624-v5-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 junhua024-chai-16-full-_35624_v1: HTTPConnectionPool(host='junhua024-chai-16-full-35624-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-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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 junhua024-chai-16-full-_35624_v3: HTTPConnectionPool(host='junhua024-chai-16-full-35624-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_35624_v3: HTTPConnectionPool(host='junhua024-chai-16-full-35624-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-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-16-full-35624-v5-mkmlizer: Downloaded to shared memory in 74.288s
junhua024-chai-16-full-35624-v5-mkmlizer: Checking if junhua024/chai_16_full_102_o_1925 already exists in ChaiML
junhua024-chai-16-full-35624-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxp11mylm, device:0
junhua024-chai-16-full-35624-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission junhua024-chai-16-full-_35624_v3: HTTPConnectionPool(host='junhua024-chai-16-full-35624-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_35624_v3: HTTPConnectionPool(host='junhua024-chai-16-full-35624-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-35624-v5-mkmlizer: quantized model in 34.283s
junhua024-chai-16-full-35624-v5-mkmlizer: Processed model junhua024/chai_16_full_102_o_1925 in 108.660s
junhua024-chai-16-full-35624-v5-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-35624-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-35624-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-35624-v5/nvidia
junhua024-chai-16-full-35624-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-35624-v5/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-35624-v5-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:23, 15.37it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:20, 17.10it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:12, 28.90it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:11, 30.13it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:10, 31.93it/s]
Loading 0:   8%|▊         | 29/363 [00:00<00:08, 37.57it/s]
Loading 0:   9%|▉         | 34/363 [00:01<00:09, 32.92it/s]
Loading 0:  10%|█         | 38/363 [00:01<00:10, 30.99it/s]
Loading 0:  12%|█▏        | 42/363 [00:01<00:11, 29.03it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:08, 35.61it/s]
Loading 0:  14%|█▍        | 52/363 [00:01<00:10, 29.91it/s]
Loading 0:  15%|█▌        | 56/363 [00:01<00:10, 30.44it/s]
Loading 0:  17%|█▋        | 60/363 [00:01<00:10, 30.15it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:09, 30.29it/s]
Loading 0:  19%|█▉        | 69/363 [00:02<00:09, 29.73it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:08, 33.45it/s]
Loading 0:  21%|██▏       | 78/363 [00:02<00:08, 33.29it/s]
Loading 0:  23%|██▎       | 82/363 [00:02<00:09, 28.65it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:08, 31.12it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:08, 31.72it/s]
Loading 0:  27%|██▋       | 97/363 [00:03<00:08, 32.86it/s]
Loading 0:  28%|██▊       | 101/363 [00:03<00:07, 33.30it/s]
Loading 0:  29%|██▉       | 105/363 [00:03<00:08, 30.54it/s]
Loading 0:  31%|███       | 113/363 [00:03<00:06, 36.87it/s]
Loading 0:  32%|███▏      | 117/363 [00:03<00:08, 28.72it/s]
Loading 0:  34%|███▎      | 122/363 [00:03<00:08, 28.73it/s]
Loading 0:  35%|███▍      | 127/363 [00:04<00:07, 31.13it/s]
Loading 0:  36%|███▌      | 131/363 [00:04<00:09, 23.90it/s]
Loading 0:  37%|███▋      | 136/363 [00:04<00:08, 28.13it/s]
Loading 0:  39%|███▊      | 140/363 [00:04<00:07, 28.22it/s]
Loading 0:  40%|███▉      | 144/363 [00:04<00:08, 25.50it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:07, 27.65it/s]
Loading 0:  43%|████▎     | 155/363 [00:05<00:06, 33.31it/s]
Loading 0:  44%|████▍     | 159/363 [00:05<00:05, 34.05it/s]
Loading 0:  45%|████▍     | 163/363 [00:05<00:07, 26.77it/s]
Loading 0:  46%|████▌     | 167/363 [00:05<00:07, 26.13it/s]
Loading 0:  48%|████▊     | 175/363 [00:05<00:05, 36.71it/s]
Loading 0:  50%|████▉     | 180/363 [00:06<00:06, 26.40it/s]
Loading 0:  51%|█████     | 185/363 [00:06<00:06, 28.39it/s]
Loading 0:  53%|█████▎    | 191/363 [00:06<00:05, 29.66it/s]
Loading 0:  54%|█████▎    | 195/363 [00:06<00:05, 28.85it/s]
Loading 0:  55%|█████▌    | 200/363 [00:06<00:05, 31.98it/s]
Loading 0:  56%|█████▌    | 204/363 [00:06<00:04, 32.34it/s]
Loading 0:  57%|█████▋    | 208/363 [00:06<00:06, 25.53it/s]
Loading 0:  58%|█████▊    | 212/363 [00:07<00:06, 25.10it/s]
Loading 0:  60%|██████    | 218/363 [00:07<00:04, 31.21it/s]
Loading 0:  61%|██████▏   | 223/363 [00:07<00:04, 29.58it/s]
Loading 0:  63%|██████▎   | 227/363 [00:07<00:04, 29.61it/s]
Loading 0:  64%|██████▎   | 231/363 [00:07<00:04, 27.89it/s]
Loading 0:  65%|██████▍   | 235/363 [00:07<00:04, 30.18it/s]
Loading 0:  66%|██████▌   | 239/363 [00:07<00:03, 31.79it/s]
Loading 0:  67%|██████▋   | 243/363 [00:08<00:04, 25.01it/s]
Loading 0:  68%|██████▊   | 248/363 [00:08<00:04, 26.88it/s]
Loading 0:  70%|██████▉   | 254/363 [00:08<00:03, 29.66it/s]
Loading 0:  71%|███████   | 258/363 [00:08<00:03, 28.35it/s]
Loading 0:  72%|███████▏  | 263/363 [00:08<00:03, 31.61it/s]
Loading 0:  74%|███████▎  | 267/363 [00:08<00:03, 31.19it/s]
Loading 0:  75%|███████▍  | 271/363 [00:09<00:03, 25.94it/s]
Loading 0:  76%|███████▌  | 275/363 [00:09<00:03, 25.51it/s]
Loading 0:  77%|███████▋  | 280/363 [00:09<00:02, 29.96it/s]
Loading 0:  79%|███████▊  | 285/363 [00:09<00:02, 31.40it/s]
Loading 0:  80%|███████▉  | 289/363 [00:09<00:03, 23.91it/s]
Loading 0:  81%|████████  | 293/363 [00:10<00:02, 24.26it/s]
Loading 0:  83%|████████▎ | 301/363 [00:10<00:01, 34.77it/s]
Loading 0:  84%|████████▍ | 306/363 [00:10<00:02, 25.18it/s]
Loading 0:  86%|████████▌ | 311/363 [00:10<00:01, 26.65it/s]
Loading 0:  87%|████████▋ | 317/363 [00:10<00:01, 27.90it/s]
Loading 0:  88%|████████▊ | 321/363 [00:10<00:01, 27.86it/s]
Loading 0:  90%|████████▉ | 326/363 [00:11<00:01, 30.83it/s]
Loading 0:  91%|█████████ | 330/363 [00:11<00:01, 31.28it/s]
Loading 0:  92%|█████████▏| 334/363 [00:11<00:01, 27.48it/s]
Loading 0:  93%|█████████▎| 338/363 [00:11<00:00, 27.29it/s]
Loading 0:  95%|█████████▍| 344/363 [00:11<00:00, 32.76it/s]
Loading 0:  96%|█████████▌| 349/363 [00:12<00:00, 22.28it/s]
Loading 0:  97%|█████████▋| 352/363 [00:12<00:00, 18.37it/s]
Loading 0:  98%|█████████▊| 357/363 [00:12<00:00, 20.22it/s]
Loading 0: 100%|█████████▉| 362/363 [00:12<00:00, 24.85it/s]
                                                            
Job junhua024-chai-16-full-35624-v5-mkmlizer completed after 139.25s with status: succeeded
Stopping job with name junhua024-chai-16-full-35624-v5-mkmlizer
Pipeline stage MKMLizer completed in 139.89s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-16-full-35624-v5
Waiting for inference service junhua024-chai-16-full-35624-v5 to be ready
Failed to get response for submission junhua024-chai-16-full-_35624_v1: HTTPConnectionPool(host='junhua024-chai-16-full-35624-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-16-full-35624-v5 ready after 322.8063476085663s
Pipeline stage MKMLDeployer completed in 324.04s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.490309238433838s
Received healthy response to inference request in 2.1914539337158203s
Received healthy response to inference request in 1.8704938888549805s
Failed to get response for submission junhua024-chai-16-full-_35624_v1: HTTPConnectionPool(host='junhua024-chai-16-full-35624-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Received healthy response to inference request in 1.9651126861572266s
Received healthy response to inference request in 2.0679469108581543s
5 requests
0 failed requests
5th percentile: 1.8894176483154297
10th percentile: 1.908341407775879
20th percentile: 1.9461889266967773
30th percentile: 1.985679531097412
40th percentile: 2.0268132209777834
50th percentile: 2.0679469108581543
60th percentile: 2.117349720001221
70th percentile: 2.1667525291442873
80th percentile: 2.251224994659424
90th percentile: 2.370767116546631
95th percentile: 2.4305381774902344
99th percentile: 2.4783550262451173
mean time: 2.1170633316040037
Pipeline stage StressChecker completed in 12.85s
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 1.50s
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 1.08s
Shutdown handler de-registered
junhua024-chai-16-full-_35624_v5 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 0.15s
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-16-full-35624-v5-profiler
Waiting for inference service junhua024-chai-16-full-35624-v5-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5330.26s
Shutdown handler de-registered
junhua024-chai-16-full-_35624_v5 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_35624_v5 status is now torndown due to DeploymentManager action