developer_uid: junhua024
submission_id: junhua024-chai-02-full-062_v3
model_name: junhua024-chai-02-full-062_v3
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-16T14:54:17+00:00
num_battles: 6325
num_wins: 3179
celo_rating: 1277.11
family_friendly_score: 0.5514
family_friendly_standard_error: 0.007033605618742069
submission_type: basic
model_repo: junhua024/chai_02_full_062
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': 0.593466382116247, 'latency_mean': 1.6848970317840577, 'latency_p50': 1.6874231100082397, 'latency_p90': 1.8407343626022339}, {'batch_size': 3, 'throughput': 1.0808233759925956, 'latency_mean': 2.770085563659668, 'latency_p50': 2.7741810083389282, 'latency_p90': 3.1087976932525634}, {'batch_size': 5, 'throughput': 1.2930079747176504, 'latency_mean': 3.853851112127304, 'latency_p50': 3.8646342754364014, 'latency_p90': 4.249674940109253}, {'batch_size': 6, 'throughput': 1.3502862088617549, 'latency_mean': 4.410502730607987, 'latency_p50': 4.43178927898407, 'latency_p90': 5.027029275894165}, {'batch_size': 8, 'throughput': 1.4217785287023517, 'latency_mean': 5.582871029376983, 'latency_p50': 5.611073136329651, 'latency_p90': 6.200956702232361}, {'batch_size': 10, 'throughput': 1.451169516596755, 'latency_mean': 6.835295648574829, 'latency_p50': 6.8144612312316895, 'latency_p90': 7.784035730361938}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-062_v3
is_internal_developer: False
language_model: junhua024/chai_02_full_062
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-16
win_ratio: 0.5026086956521739
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-02-full-062-v3-mkmlizer
Waiting for job on junhua024-chai-02-full-062-v3-mkmlizer to finish
junhua024-chai-02-full-062-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-062-v3-mkmlizer: ║ ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ belonging to: ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-02-full-062-v3-mkmlizer: ║ ║
junhua024-chai-02-full-062-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-50-2000_v1: HTTPConnectionPool(host='zmeeks-capitanito-50-2000-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-50-2000_v1: HTTPConnectionPool(host='zmeeks-capitanito-50-2000-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-v3-mkmlizer: Downloaded to shared memory in 75.875s
junhua024-chai-02-full-062-v3-mkmlizer: Checking if junhua024/chai_02_full_062 already exists in ChaiML
junhua024-chai-02-full-062-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpzea7eeln, device:0
junhua024-chai-02-full-062-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-062-v3-mkmlizer: quantized model in 32.581s
junhua024-chai-02-full-062-v3-mkmlizer: Processed model junhua024/chai_02_full_062 in 108.538s
junhua024-chai-02-full-062-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-062-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-062-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-062-v3/nvidia
junhua024-chai-02-full-062-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-062-v3/nvidia/config.json
junhua024-chai-02-full-062-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-062-v3/nvidia/special_tokens_map.json
junhua024-chai-02-full-062-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-062-v3/nvidia/tokenizer_config.json
junhua024-chai-02-full-062-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-062-v3/nvidia/tokenizer.json
junhua024-chai-02-full-062-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-062-v3/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-062-v3-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%| | 2/363 [00:00<00:25, 14.09it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:22, 16.27it/s] Loading 0: 3%|▎ | 11/363 [00:00<00:11, 31.19it/s] Loading 0: 4%|▍ | 16/363 [00:00<00:11, 31.04it/s] Loading 0: 6%|▌ | 20/363 [00:00<00:10, 31.89it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:11, 30.70it/s] Loading 0: 8%|▊ | 29/363 [00:00<00:09, 35.47it/s] Loading 0: 9%|▉ | 34/363 [00:01<00:09, 33.38it/s] Loading 0: 10%|█ | 38/363 [00:01<00:09, 33.87it/s] Loading 0: 12%|█▏ | 42/363 [00:01<00:10, 31.72it/s] Loading 0: 14%|█▍ | 50/363 [00:01<00:08, 38.05it/s] Loading 0: 15%|█▍ | 54/363 [00:01<00:10, 30.36it/s] Loading 0: 16%|█▋ | 59/363 [00:01<00:09, 32.45it/s] Loading 0: 18%|█▊ | 65/363 [00:02<00:08, 33.46it/s] Loading 0: 19%|█▉ | 69/363 [00:02<00:09, 32.11it/s] Loading 0: 20%|██ | 74/363 [00:02<00:08, 35.86it/s] Loading 0: 21%|██▏ | 78/363 [00:02<00:07, 35.87it/s] Loading 0: 23%|██▎ | 82/363 [00:02<00:11, 24.66it/s] Loading 0: 23%|██▎ | 85/363 [00:02<00:11, 24.74it/s] Loading 0: 25%|██▌ | 91/363 [00:03<00:10, 25.32it/s] Loading 0: 26%|██▋ | 96/363 [00:03<00:09, 28.39it/s] Loading 0: 28%|██▊ | 100/363 [00:03<00:12, 21.33it/s] Loading 0: 29%|██▊ | 104/363 [00:03<00:12, 20.94it/s] Loading 0: 30%|███ | 109/363 [00:03<00:10, 24.73it/s] Loading 0: 31%|███ | 113/363 [00:03<00:09, 26.41it/s] Loading 0: 32%|███▏ | 116/363 [00:04<00:11, 22.27it/s] Loading 0: 33%|███▎ | 119/363 [00:04<00:11, 22.02it/s] Loading 0: 34%|███▎ | 122/363 [00:04<00:12, 19.82it/s] Loading 0: 35%|███▍ | 127/363 [00:04<00:09, 24.29it/s] Loading 0: 36%|███▌ | 130/363 [00:04<00:11, 20.84it/s] Loading 0: 37%|███▋ | 133/363 [00:04<00:11, 20.14it/s] Loading 0: 37%|███▋ | 136/363 [00:05<00:10, 21.10it/s] Loading 0: 38%|███▊ | 139/363 [00:05<00:10, 21.71it/s] Loading 0: 39%|███▉ | 143/363 [00:05<00:09, 22.96it/s] Loading 0: 41%|████ | 149/363 [00:05<00:07, 27.11it/s] Loading 0: 43%|████▎ | 155/363 [00:05<00:06, 34.00it/s] Loading 0: 44%|████▍ | 160/363 [00:05<00:06, 32.18it/s] Loading 0: 45%|████▌ | 164/363 [00:05<00:06, 32.34it/s] Loading 0: 46%|████▋ | 168/363 [00:06<00:06, 31.03it/s] Loading 0: 48%|████▊ | 176/363 [00:06<00:04, 37.61it/s] Loading 0: 50%|████▉ | 180/363 [00:06<00:05, 30.58it/s] Loading 0: 51%|█████ | 185/363 [00:06<00:05, 32.45it/s] Loading 0: 53%|█████▎ | 191/363 [00:06<00:05, 34.03it/s] Loading 0: 54%|█████▎ | 195/363 [00:06<00:05, 32.26it/s] Loading 0: 55%|█████▌ | 201/363 [00:07<00:04, 32.57it/s] Loading 0: 57%|█████▋ | 206/363 [00:07<00:04, 32.01it/s] Loading 0: 58%|█████▊ | 212/363 [00:07<00:04, 33.32it/s] Loading 0: 60%|██████ | 218/363 [00:07<00:03, 38.40it/s] Loading 0: 61%|██████▏ | 223/363 [00:07<00:03, 36.10it/s] Loading 0: 63%|██████▎ | 227/363 [00:07<00:03, 35.83it/s] Loading 0: 64%|██████▎ | 231/363 [00:07<00:03, 33.42it/s] Loading 0: 66%|██████▌ | 238/363 [00:08<00:03, 41.50it/s] Loading 0: 67%|██████▋ | 243/363 [00:08<00:03, 30.66it/s] Loading 0: 68%|██████▊ | 248/363 [00:08<00:03, 32.63it/s] Loading 0: 70%|██████▉ | 254/363 [00:08<00:03, 34.05it/s] Loading 0: 71%|███████ | 258/363 [00:08<00:03, 33.21it/s] Loading 0: 72%|███████▏ | 263/363 [00:08<00:02, 36.62it/s] Loading 0: 74%|███████▎ | 267/363 [00:08<00:02, 37.02it/s] Loading 0: 75%|███████▍ | 271/363 [00:09<00:02, 32.02it/s] Loading 0: 76%|███████▌ | 275/363 [00:09<00:02, 30.80it/s] Loading 0: 77%|███████▋ | 281/363 [00:09<00:02, 37.21it/s] Loading 0: 79%|███████▉ | 286/363 [00:09<00:02, 34.81it/s] Loading 0: 80%|███████▉ | 290/363 [00:09<00:02, 34.85it/s] Loading 0: 81%|████████ | 294/363 [00:09<00:02, 32.59it/s] Loading 0: 83%|████████▎ | 301/363 [00:09<00:01, 41.52it/s] Loading 0: 84%|████████▍ | 306/363 [00:10<00:01, 30.17it/s] Loading 0: 86%|████████▌ | 311/363 [00:10<00:01, 32.23it/s] Loading 0: 87%|████████▋ | 317/363 [00:10<00:01, 33.78it/s] Loading 0: 88%|████████▊ | 321/363 [00:10<00:01, 33.07it/s] Loading 0: 90%|█████████ | 327/363 [00:10<00:01, 33.47it/s] Loading 0: 91%|█████████▏| 332/363 [00:10<00:00, 33.03it/s] Loading 0: 93%|█████████▎| 338/363 [00:11<00:00, 34.19it/s] Loading 0: 95%|█████████▍| 344/363 [00:11<00:00, 39.23it/s] Loading 0: 96%|█████████▌| 349/363 [00:11<00:00, 27.03it/s] Loading 0: 97%|█████████▋| 353/363 [00:11<00:00, 24.72it/s] Loading 0: 98%|█████████▊| 357/363 [00:11<00:00, 26.34it/s]
Job junhua024-chai-02-full-062-v3-mkmlizer completed after 138.88s with status: succeeded
Stopping job with name junhua024-chai-02-full-062-v3-mkmlizer
Pipeline stage MKMLizer completed in 139.38s
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-02-full-062-v3
Waiting for inference service junhua024-chai-02-full-062-v3 to be ready
Failed to get response for submission junhua024-chai-02-full-061_v1: ('http://chaiml-20250611-retune-u-1558-v3-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:38470->127.0.0.1:8080: read: connection reset by peer\n')
Failed to get response for submission junhua024-chai-02-full-062_v2: HTTPConnectionPool(host='junhua024-chai-02-full-062-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-02-full-062-v3 ready after 270.9217972755432s
Pipeline stage MKMLDeployer completed in 271.62s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.509373664855957s
Received healthy response to inference request in 1.661139726638794s
Received healthy response to inference request in 6.412196636199951s
Received healthy response to inference request in 3.5780646800994873s
Received healthy response to inference request in 2.568286180496216s
5 requests
0 failed requests
5th percentile: 1.8307865142822266
10th percentile: 2.0004333019256593
20th percentile: 2.3397268772125246
30th percentile: 2.521156167984009
40th percentile: 2.544721174240112
50th percentile: 2.568286180496216
60th percentile: 2.9721975803375242
70th percentile: 3.3761089801788327
80th percentile: 4.144891071319581
90th percentile: 5.278543853759766
95th percentile: 5.845370244979858
99th percentile: 6.298831357955932
mean time: 3.345812177658081
Pipeline stage StressChecker completed in 18.20s
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 0.73s
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 0.81s
Shutdown handler de-registered
junhua024-chai-02-full-062_v3 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 3947.52s
Shutdown handler de-registered
junhua024-chai-02-full-062_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-062_v3 status is now torndown due to DeploymentManager action
junhua024-chai-02-full-062_v3 status is now torndown due to DeploymentManager action