developer_uid: junhua024
submission_id: junhua024-chai-16-full-_74386_v9
model_name: junhua024-chai-16-full-_74386_v9
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-19T16:42:25+00:00
num_battles: 6538
num_wins: 3542
celo_rating: 1279.36
family_friendly_score: 0.5522
family_friendly_standard_error: 0.007032427177013638
submission_type: basic
model_repo: junhua024/chai_16_full_102_o_ffn_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': 0.6037399463919945, 'latency_mean': 1.656238466501236, 'latency_p50': 1.6488522291183472, 'latency_p90': 1.8286030530929565}, {'batch_size': 3, 'throughput': 1.0989553741263294, 'latency_mean': 2.72199441075325, 'latency_p50': 2.7111268043518066, 'latency_p90': 2.9757012367248534}, {'batch_size': 5, 'throughput': 1.3115359085379763, 'latency_mean': 3.795998854637146, 'latency_p50': 3.7816466093063354, 'latency_p90': 4.261743521690368}, {'batch_size': 6, 'throughput': 1.3710123458493102, 'latency_mean': 4.344045125246048, 'latency_p50': 4.343558669090271, 'latency_p90': 4.895549273490905}, {'batch_size': 8, 'throughput': 1.4523807399580038, 'latency_mean': 5.465424799919129, 'latency_p50': 5.4705411195755005, 'latency_p90': 6.112800288200378}, {'batch_size': 10, 'throughput': 1.4767379854771057, 'latency_mean': 6.716688799858093, 'latency_p50': 6.789638042449951, 'latency_p90': 7.489966893196105}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_74386_v9
is_internal_developer: False
language_model: junhua024/chai_16_full_102_o_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-07-19
win_ratio: 0.5417558886509636
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-74386-v9-mkmlizer
Waiting for job on junhua024-chai-16-full-74386-v9-mkmlizer to finish
junhua024-chai-16-full-74386-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-16-full-74386-v9-mkmlizer: ║ ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ belonging to: ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-16-full-74386-v9-mkmlizer: ║ ║
junhua024-chai-16-full-74386-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-_74386_v4: HTTPConnectionPool(host='junhua024-chai-16-full-74386-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-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-74386-v9-mkmlizer: Downloaded to shared memory in 76.687s
junhua024-chai-16-full-74386-v9-mkmlizer: Checking if junhua024/chai_16_full_102_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-74386-v9-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp3icxhvz2, device:0
junhua024-chai-16-full-74386-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-74386-v9-mkmlizer: quantized model in 32.757s
junhua024-chai-16-full-74386-v9-mkmlizer: Processed model junhua024/chai_16_full_102_o_ffn_1925 in 109.637s
junhua024-chai-16-full-74386-v9-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-74386-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-74386-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-74386-v9/nvidia
junhua024-chai-16-full-74386-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-74386-v9/nvidia/tokenizer.json
junhua024-chai-16-full-74386-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-74386-v9/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-74386-v9-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%| | 2/363 [00:00<00:23, 15.18it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:20, 17.37it/s] Loading 0: 3%|▎ | 11/363 [00:00<00:11, 31.85it/s] Loading 0: 4%|▍ | 15/363 [00:00<00:10, 33.55it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:13, 26.38it/s] Loading 0: 6%|▋ | 23/363 [00:00<00:12, 26.27it/s] Loading 0: 8%|▊ | 29/363 [00:00<00:10, 33.30it/s] Loading 0: 9%|▉ | 34/363 [00:01<00:10, 30.19it/s] Loading 0: 10%|█ | 38/363 [00:01<00:10, 30.24it/s] Loading 0: 12%|█▏ | 42/363 [00:01<00:11, 28.49it/s] Loading 0: 13%|█▎ | 47/363 [00:01<00:09, 33.15it/s] Loading 0: 14%|█▍ | 51/363 [00:01<00:11, 28.33it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:11, 27.64it/s] Loading 0: 16%|█▋ | 59/363 [00:02<00:10, 28.08it/s] Loading 0: 18%|█▊ | 65/363 [00:02<00:09, 29.99it/s] Loading 0: 19%|█▉ | 69/363 [00:02<00:09, 29.54it/s] Loading 0: 20%|██ | 74/363 [00:02<00:08, 32.88it/s] Loading 0: 21%|██▏ | 78/363 [00:02<00:08, 33.29it/s] Loading 0: 23%|██▎ | 82/363 [00:02<00:10, 27.62it/s] Loading 0: 24%|██▎ | 86/363 [00:02<00:09, 29.15it/s] Loading 0: 25%|██▌ | 91/363 [00:03<00:09, 30.09it/s] Loading 0: 27%|██▋ | 97/363 [00:03<00:09, 29.35it/s] Loading 0: 28%|██▊ | 101/363 [00:03<00:08, 29.93it/s] Loading 0: 29%|██▉ | 105/363 [00:03<00:08, 28.72it/s] Loading 0: 31%|███ | 113/363 [00:03<00:07, 35.16it/s] Loading 0: 32%|███▏ | 117/363 [00:03<00:08, 29.14it/s] Loading 0: 34%|███▎ | 122/363 [00:04<00:07, 30.53it/s] Loading 0: 35%|███▌ | 128/363 [00:04<00:07, 31.09it/s] Loading 0: 36%|███▋ | 132/363 [00:04<00:07, 30.40it/s] Loading 0: 38%|███▊ | 137/363 [00:04<00:06, 33.69it/s] Loading 0: 39%|███▉ | 141/363 [00:04<00:06, 34.40it/s] Loading 0: 40%|███▉ | 145/363 [00:04<00:07, 29.68it/s] Loading 0: 41%|████ | 149/363 [00:04<00:07, 28.69it/s] Loading 0: 43%|████▎ | 155/363 [00:05<00:06, 34.34it/s] Loading 0: 44%|████▍ | 160/363 [00:05<00:06, 31.75it/s] Loading 0: 45%|████▌ | 164/363 [00:05<00:06, 31.80it/s] Loading 0: 46%|████▋ | 168/363 [00:05<00:06, 30.12it/s] Loading 0: 48%|████▊ | 175/363 [00:05<00:04, 38.90it/s] Loading 0: 50%|████▉ | 180/363 [00:05<00:06, 27.71it/s] Loading 0: 51%|█████ | 185/363 [00:06<00:06, 29.23it/s] Loading 0: 53%|█████▎ | 191/363 [00:06<00:05, 29.49it/s] Loading 0: 54%|█████▎ | 195/363 [00:06<00:05, 29.20it/s] Loading 0: 55%|█████▌ | 200/363 [00:06<00:05, 32.50it/s] Loading 0: 56%|█████▌ | 204/363 [00:06<00:04, 32.56it/s] Loading 0: 57%|█████▋ | 208/363 [00:06<00:05, 27.53it/s] Loading 0: 58%|█████▊ | 212/363 [00:07<00:05, 27.34it/s] Loading 0: 60%|██████ | 218/363 [00:07<00:04, 32.97it/s] Loading 0: 61%|██████▏ | 223/363 [00:07<00:04, 31.00it/s] Loading 0: 63%|██████▎ | 227/363 [00:07<00:04, 31.02it/s] Loading 0: 64%|██████▎ | 231/363 [00:07<00:04, 29.37it/s] Loading 0: 65%|██████▌ | 237/363 [00:07<00:03, 35.87it/s] Loading 0: 66%|██████▋ | 241/363 [00:07<00:04, 29.89it/s] Loading 0: 67%|██████▋ | 245/363 [00:08<00:03, 31.36it/s] Loading 0: 69%|██████▊ | 249/363 [00:08<00:03, 30.63it/s] Loading 0: 70%|██████▉ | 254/363 [00:08<00:03, 30.62it/s] Loading 0: 71%|███████ | 258/363 [00:08<00:03, 30.73it/s] Loading 0: 72%|███████▏ | 263/363 [00:08<00:02, 34.91it/s] Loading 0: 74%|███████▎ | 267/363 [00:08<00:02, 36.09it/s] Loading 0: 75%|███████▍ | 271/363 [00:08<00:02, 32.01it/s] Loading 0: 76%|███████▌ | 275/363 [00:09<00:02, 30.44it/s] Loading 0: 77%|███████▋ | 281/363 [00:09<00:02, 36.81it/s] Loading 0: 79%|███████▉ | 286/363 [00:09<00:02, 34.92it/s] Loading 0: 80%|███████▉ | 290/363 [00:09<00:02, 34.39it/s] Loading 0: 81%|████████ | 294/363 [00:09<00:02, 31.78it/s] Loading 0: 83%|████████▎ | 300/363 [00:09<00:01, 38.03it/s] Loading 0: 84%|████████▍ | 305/363 [00:09<00:01, 32.05it/s] Loading 0: 85%|████████▌ | 309/363 [00:09<00:01, 32.50it/s] Loading 0: 86%|████████▌ | 313/363 [00:10<00:01, 32.78it/s] Loading 0: 87%|████████▋ | 317/363 [00:10<00:01, 29.02it/s] Loading 0: 88%|████████▊ | 321/363 [00:10<00:01, 29.14it/s] Loading 0: 90%|████████▉ | 326/363 [00:10<00:01, 33.27it/s] Loading 0: 91%|█████████ | 330/363 [00:10<00:00, 33.75it/s] Loading 0: 92%|█████████▏| 334/363 [00:10<00:01, 27.78it/s] Loading 0: 93%|█████████▎| 338/363 [00:10<00:00, 27.55it/s] Loading 0: 95%|█████████▍| 344/363 [00:11<00:00, 33.03it/s] Loading 0: 96%|█████████▌| 349/363 [00:11<00:00, 22.71it/s] Loading 0: 97%|█████████▋| 352/363 [00:11<00:00, 19.64it/s] Loading 0: 98%|█████████▊| 357/363 [00:11<00:00, 23.08it/s]
Job junhua024-chai-16-full-74386-v9-mkmlizer completed after 140.14s with status: succeeded
Stopping job with name junhua024-chai-16-full-74386-v9-mkmlizer
Pipeline stage MKMLizer completed in 140.67s
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-16-full-74386-v9
Waiting for inference service junhua024-chai-16-full-74386-v9 to be ready
Failed to get response for submission junhua024-chai-16-full-_74386_v4: HTTPConnectionPool(host='junhua024-chai-16-full-74386-v4-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-_74386_v2: HTTPConnectionPool(host='junhua024-chai-16-full-74386-v2-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-_74386_v1: HTTPConnectionPool(host='junhua024-chai-16-full-74386-v1-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-_74386_v3: HTTPConnectionPool(host='junhua024-chai-16-full-74386-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-_74386_v1: HTTPConnectionPool(host='junhua024-chai-16-full-74386-v1-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-_74386_v4: HTTPConnectionPool(host='junhua024-chai-16-full-74386-v4-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-_74386_v4: HTTPConnectionPool(host='junhua024-chai-16-full-74386-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-16-full-74386-v9 ready after 331.6495666503906s
Pipeline stage MKMLDeployer completed in 332.31s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.455367088317871s
Received healthy response to inference request in 1.8314454555511475s
Received healthy response to inference request in 1.7362585067749023s
Received healthy response to inference request in 1.8297719955444336s
Received healthy response to inference request in 1.9158596992492676s
5 requests
0 failed requests
5th percentile: 1.7549612045288085
10th percentile: 1.7736639022827148
20th percentile: 1.8110692977905274
30th percentile: 1.8301066875457763
40th percentile: 1.830776071548462
50th percentile: 1.8314454555511475
60th percentile: 1.8652111530303954
70th percentile: 1.8989768505096436
80th percentile: 2.023761177062988
90th percentile: 2.23956413269043
95th percentile: 2.3474656105041505
99th percentile: 2.433786792755127
mean time: 1.9537405490875244
Pipeline stage StressChecker completed in 11.27s
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 0.69s
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 0.65s
Shutdown handler de-registered
junhua024-chai-16-full-_74386_v9 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 3030.04s
Shutdown handler de-registered
junhua024-chai-16-full-_74386_v9 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_74386_v9 status is now torndown due to DeploymentManager action