junhua024-chai-1-full_94469

developer_uid: junhua024
submission_id: junhua024-chai-1-full_94469_v136
model_name: junhua024-chai-1-full_94469_v136
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-20T10:19:29+00:00
num_battles: 5692
num_wins: 2805
celo_rating: 1273.53
family_friendly_score: 0.5482
family_friendly_standard_error: 0.007038135548566822
submission_type: basic
model_repo: junhua024/chai-1-full-066126
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': 0.5937582092377075, 'latency_mean': 1.684062340259552, 'latency_p50': 1.691055417060852, 'latency_p90': 1.871085786819458}, {'batch_size': 3, 'throughput': 1.07672518036365, 'latency_mean': 2.783849697113037, 'latency_p50': 2.819846510887146, 'latency_p90': 3.0519306659698486}, {'batch_size': 5, 'throughput': 1.2798589784291208, 'latency_mean': 3.8948993360996247, 'latency_p50': 3.8953386545181274, 'latency_p90': 4.316668295860291}, {'batch_size': 6, 'throughput': 1.35349183505853, 'latency_mean': 4.410990459918976, 'latency_p50': 4.401909112930298, 'latency_p90': 4.893713259696961}, {'batch_size': 8, 'throughput': 1.4149654480968277, 'latency_mean': 5.624470483064652, 'latency_p50': 5.594393253326416, 'latency_p90': 6.292180132865905}, {'batch_size': 10, 'throughput': 1.4336878210795128, 'latency_mean': 6.9262172996997835, 'latency_p50': 6.937986254692078, 'latency_p90': 7.811346244812012}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full_94469_v136
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-20
win_ratio: 0.4927969079409698
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-1-full-94469-v136-mkmlizer
Waiting for job on junhua024-chai-1-full-94469-v136-mkmlizer to finish
junhua024-chai-1-full-94469-v136-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-94469-v136-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-94469-v136-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v136-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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 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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-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-1-full-94469-v136-mkmlizer: Downloaded to shared memory in 98.044s
junhua024-chai-1-full-94469-v136-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-94469-v136-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp03js6sgi, device:0
junhua024-chai-1-full-94469-v136-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-94469-v136-mkmlizer: quantized model in 46.424s
junhua024-chai-1-full-94469-v136-mkmlizer: Processed model junhua024/chai-1-full-066126 in 144.555s
junhua024-chai-1-full-94469-v136-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-94469-v136-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-94469-v136-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v136/nvidia
junhua024-chai-1-full-94469-v136-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v136/nvidia/config.json
junhua024-chai-1-full-94469-v136-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v136/nvidia/special_tokens_map.json
junhua024-chai-1-full-94469-v136-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v136/nvidia/tokenizer_config.json
junhua024-chai-1-full-94469-v136-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v136/nvidia/tokenizer.json
junhua024-chai-1-full-94469-v136-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:20, 17.91it/s]
Loading 0:   1%|          | 4/363 [00:00<00:36,  9.75it/s]
Loading 0:   2%|▏         | 6/363 [00:00<00:37,  9.62it/s]
Loading 0:   3%|▎         | 10/363 [00:00<00:23, 14.79it/s]
Loading 0:   3%|▎         | 12/363 [00:01<00:33, 10.48it/s]
Loading 0:   4%|▍         | 16/363 [00:01<00:24, 14.41it/s]
Loading 0:   5%|▍         | 18/363 [00:01<00:27, 12.51it/s]
Loading 0:   6%|▌         | 21/363 [00:01<00:24, 14.25it/s]
Loading 0:   6%|▋         | 23/363 [00:02<00:35,  9.54it/s]
Loading 0:   7%|▋         | 27/363 [00:02<00:24, 13.57it/s]
Loading 0:   8%|▊         | 29/363 [00:02<00:28, 11.77it/s]
Loading 0:   9%|▉         | 32/363 [00:02<00:23, 14.28it/s]
Loading 0:   9%|▉         | 34/363 [00:02<00:23, 13.91it/s]
Loading 0:  10%|▉         | 36/363 [00:03<00:33,  9.74it/s]
Loading 0:  11%|█         | 39/363 [00:03<00:27, 11.98it/s]
Loading 0:  11%|█▏        | 41/363 [00:03<00:34,  9.36it/s]
Loading 0:  13%|█▎        | 46/363 [00:03<00:22, 13.92it/s]
Loading 0:  14%|█▍        | 50/363 [00:03<00:19, 16.42it/s]
Loading 0:  14%|█▍        | 52/363 [00:04<00:20, 15.51it/s]
Loading 0:  15%|█▍        | 54/363 [00:04<00:20, 14.77it/s]
Loading 0:  16%|█▋        | 59/363 [00:04<00:17, 17.87it/s]
Loading 0:  18%|█▊        | 65/363 [00:04<00:13, 22.01it/s]
Loading 0:  19%|█▊        | 68/363 [00:04<00:19, 15.14it/s]
Loading 0:  20%|██        | 73/363 [00:05<00:16, 17.88it/s]
Loading 0:  21%|██        | 76/363 [00:05<00:19, 14.58it/s]
Loading 0:  22%|██▏       | 79/363 [00:05<00:18, 15.59it/s]
Loading 0:  22%|██▏       | 81/363 [00:05<00:17, 15.83it/s]
Loading 0:  24%|██▎       | 86/363 [00:05<00:13, 21.10it/s]
Loading 0:  25%|██▌       | 91/363 [00:06<00:11, 24.10it/s]
Loading 0:  27%|██▋       | 97/363 [00:06<00:10, 26.60it/s]
Loading 0:  28%|██▊       | 100/363 [00:06<00:10, 25.46it/s]
Loading 0:  29%|██▊       | 104/363 [00:06<00:10, 24.76it/s]
Loading 0:  31%|███       | 111/363 [00:06<00:07, 33.65it/s]
Loading 0:  32%|███▏      | 115/363 [00:06<00:08, 29.40it/s]
Loading 0:  33%|███▎      | 119/363 [00:06<00:08, 30.18it/s]
Loading 0:  34%|███▍      | 123/363 [00:07<00:08, 29.23it/s]
Loading 0:  35%|███▌      | 128/363 [00:07<00:08, 28.67it/s]
Loading 0:  36%|███▌      | 131/363 [00:07<00:08, 26.50it/s]
Loading 0:  38%|███▊      | 137/363 [00:07<00:06, 33.08it/s]
Loading 0:  39%|███▉      | 141/363 [00:07<00:06, 33.50it/s]
Loading 0:  40%|███▉      | 145/363 [00:07<00:07, 29.00it/s]
Loading 0:  41%|████      | 149/363 [00:08<00:07, 27.95it/s]
Loading 0:  43%|████▎     | 155/363 [00:08<00:06, 33.96it/s]
Loading 0:  44%|████▍     | 160/363 [00:08<00:06, 31.40it/s]
Loading 0:  45%|████▌     | 164/363 [00:08<00:06, 30.84it/s]
Loading 0:  46%|████▋     | 168/363 [00:08<00:06, 27.95it/s]
Loading 0:  48%|████▊     | 173/363 [00:08<00:05, 32.58it/s]
Loading 0:  49%|████▉     | 177/363 [00:08<00:06, 28.51it/s]
Loading 0:  50%|████▉     | 181/363 [00:09<00:06, 28.21it/s]
Loading 0:  51%|█████     | 185/363 [00:09<00:06, 27.23it/s]
Loading 0:  53%|█████▎    | 191/363 [00:09<00:05, 29.27it/s]
Loading 0:  53%|█████▎    | 194/363 [00:09<00:06, 26.52it/s]
Loading 0:  55%|█████▌    | 200/363 [00:09<00:05, 32.60it/s]
Loading 0:  56%|█████▌    | 204/363 [00:09<00:04, 32.42it/s]
Loading 0:  57%|█████▋    | 208/363 [00:09<00:05, 27.72it/s]
Loading 0:  58%|█████▊    | 212/363 [00:10<00:05, 27.35it/s]
Loading 0:  60%|██████    | 218/363 [00:10<00:04, 33.52it/s]
Loading 0:  61%|██████▏   | 223/363 [00:10<00:04, 31.40it/s]
Loading 0:  63%|██████▎   | 227/363 [00:10<00:04, 31.50it/s]
Loading 0:  64%|██████▎   | 231/363 [00:10<00:04, 29.50it/s]
Loading 0:  65%|██████▌   | 237/363 [00:10<00:03, 36.14it/s]
Loading 0:  66%|██████▋   | 241/363 [00:11<00:04, 29.82it/s]
Loading 0:  67%|██████▋   | 245/363 [00:11<00:03, 30.91it/s]
Loading 0:  69%|██████▊   | 249/363 [00:11<00:03, 30.19it/s]
Loading 0:  70%|██████▉   | 254/363 [00:11<00:03, 29.74it/s]
Loading 0:  71%|███████   | 258/363 [00:11<00:03, 29.01it/s]
Loading 0:  72%|███████▏  | 263/363 [00:11<00:03, 32.73it/s]
Loading 0:  74%|███████▎  | 267/363 [00:11<00:02, 32.85it/s]
Loading 0:  75%|███████▍  | 271/363 [00:12<00:03, 28.73it/s]
Loading 0:  76%|███████▌  | 275/363 [00:12<00:03, 28.17it/s]
Loading 0:  77%|███████▋  | 281/363 [00:12<00:02, 34.40it/s]
Loading 0:  79%|███████▉  | 286/363 [00:12<00:02, 32.27it/s]
Loading 0:  80%|███████▉  | 290/363 [00:12<00:02, 32.33it/s]
Loading 0:  81%|████████  | 294/363 [00:12<00:02, 29.34it/s]
Loading 0:  83%|████████▎ | 300/363 [00:12<00:01, 35.67it/s]
Loading 0:  84%|████████▎ | 304/363 [00:13<00:01, 30.08it/s]
Loading 0:  85%|████████▍ | 308/363 [00:13<00:01, 31.28it/s]
Loading 0:  86%|████████▌ | 312/363 [00:13<00:01, 29.84it/s]
Loading 0:  87%|████████▋ | 317/363 [00:13<00:01, 28.66it/s]
Loading 0:  88%|████████▊ | 321/363 [00:13<00:01, 28.15it/s]
Loading 0:  90%|████████▉ | 326/363 [00:13<00:01, 32.36it/s]
Loading 0:  91%|█████████ | 330/363 [00:13<00:01, 32.70it/s]
Loading 0:  92%|█████████▏| 334/363 [00:14<00:01, 28.89it/s]
Loading 0:  93%|█████████▎| 338/363 [00:14<00:00, 27.97it/s]
Loading 0:  95%|█████████▍| 344/363 [00:14<00:00, 34.35it/s]
Loading 0:  96%|█████████▌| 349/363 [00:14<00:00, 23.87it/s]
Loading 0:  97%|█████████▋| 353/363 [00:14<00:00, 22.50it/s]
Loading 0:  98%|█████████▊| 357/363 [00:14<00:00, 24.68it/s]
                                                            
Job junhua024-chai-1-full-94469-v136-mkmlizer completed after 171.33s with status: succeeded
Stopping job with name junhua024-chai-1-full-94469-v136-mkmlizer
Pipeline stage MKMLizer completed in 171.89s
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-1-full-94469-v136
Waiting for inference service junhua024-chai-1-full-94469-v136 to be ready
Inference service junhua024-chai-1-full-94469-v136 ready after 342.0371251106262s
Pipeline stage MKMLDeployer completed in 342.71s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6604435443878174s
Received healthy response to inference request in 1.6083381175994873s
Received healthy response to inference request in 1.6974658966064453s
Received healthy response to inference request in 1.624168872833252s
Received healthy response to inference request in 1.5609328746795654s
5 requests
0 failed requests
5th percentile: 1.57041392326355
10th percentile: 1.5798949718475341
20th percentile: 1.5988570690155028
30th percentile: 1.6115042686462402
40th percentile: 1.6178365707397462
50th percentile: 1.624168872833252
60th percentile: 1.6534876823425293
70th percentile: 1.6828064918518066
80th percentile: 1.89006142616272
90th percentile: 2.2752524852752685
95th percentile: 2.4678480148315427
99th percentile: 2.6219244384765625
mean time: 1.8302698612213135
Pipeline stage StressChecker completed in 10.82s
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 0.76s
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 0.98s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v136 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 3259.29s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v136 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full_94469_v136 status is now torndown due to DeploymentManager action