developer_uid: junhua024
submission_id: junhua024-chai-1-full-066122_v3
model_name: junhua024-chai-1-full-066122_v3
model_group: junhua024/chai_1-full_06
status: torndown
timestamp: 2025-06-29T19:01:34+00:00
num_battles: 6694
num_wins: 3304
celo_rating: 1272.44
family_friendly_score: 0.5624
family_friendly_standard_error: 0.007015785629564233
submission_type: basic
model_repo: junhua024/chai_1-full_066122
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': 0.597338461849587, 'latency_mean': 1.6739848256111145, 'latency_p50': 1.6824274063110352, 'latency_p90': 1.846167755126953}, {'batch_size': 3, 'throughput': 1.0653697090417342, 'latency_mean': 2.8102019035816195, 'latency_p50': 2.815468430519104, 'latency_p90': 3.077567958831787}, {'batch_size': 5, 'throughput': 1.2720377089203676, 'latency_mean': 3.9027037596702576, 'latency_p50': 3.91445529460907, 'latency_p90': 4.415267515182495}, {'batch_size': 6, 'throughput': 1.3607244925923532, 'latency_mean': 4.389976358413696, 'latency_p50': 4.387077331542969, 'latency_p90': 5.015904116630554}, {'batch_size': 8, 'throughput': 1.408815447601138, 'latency_mean': 5.629807479381562, 'latency_p50': 5.660949230194092, 'latency_p90': 6.341670966148376}, {'batch_size': 10, 'throughput': 1.4511990045897727, 'latency_mean': 6.83030956864357, 'latency_p50': 6.749971985816956, 'latency_p90': 7.714249062538147}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066122_v3
is_internal_developer: False
language_model: junhua024/chai_1-full_066122
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-06-29
win_ratio: 0.4935763370182253
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.2, 'top_k': 40, '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': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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-066122-v3-mkmlizer
Waiting for job on junhua024-chai-1-full-066122-v3-mkmlizer to finish
junhua024-chai-1-full-066122-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066122-v3-mkmlizer: ║ ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ Version: 0.29.3 ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ belonging to: ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-1-full-066122-v3-mkmlizer: ║ ║
junhua024-chai-1-full-066122-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066122-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`
Unable to record family friendly update due to error: Invalid JSON input: JSON must contain 'User Safety' and 'Response Safety' fields
junhua024-chai-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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`
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
junhua024-chai-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-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-1-full-066122-v3-mkmlizer: Downloaded to shared memory in 105.999s
junhua024-chai-1-full-066122-v3-mkmlizer: Checking if junhua024/chai_1-full_066122 already exists in ChaiML
junhua024-chai-1-full-066122-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmppwqf4k8_, device:0
junhua024-chai-1-full-066122-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission nitral-ai-captain-bmo-12b_v75: HTTPConnectionPool(host='nitral-ai-captain-bmo-12b-v75-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-066122-v3-mkmlizer: quantized model in 31.220s
junhua024-chai-1-full-066122-v3-mkmlizer: Processed model junhua024/chai_1-full_066122 in 137.294s
junhua024-chai-1-full-066122-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066122-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066122-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066122-v3
junhua024-chai-1-full-066122-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066122-v3/config.json
junhua024-chai-1-full-066122-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066122-v3/special_tokens_map.json
junhua024-chai-1-full-066122-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066122-v3/tokenizer_config.json
junhua024-chai-1-full-066122-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066122-v3/flywheel_model.0.safetensors
junhua024-chai-1-full-066122-v3-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%| | 2/363 [00:00<00:23, 15.58it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:21, 16.87it/s] Loading 0: 3%|▎ | 12/363 [00:00<00:12, 28.30it/s] Loading 0: 5%|▍ | 17/363 [00:00<00:11, 30.84it/s] Loading 0: 6%|▋ | 23/363 [00:00<00:10, 33.57it/s] Loading 0: 9%|▉ | 32/363 [00:00<00:06, 47.59it/s] Loading 0: 10%|█ | 38/363 [00:01<00:08, 37.69it/s] Loading 0: 12%|█▏ | 43/363 [00:01<00:08, 37.26it/s] Loading 0: 14%|█▍ | 50/363 [00:01<00:07, 39.93it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:08, 34.62it/s] Loading 0: 16%|█▋ | 59/363 [00:01<00:08, 34.35it/s] Loading 0: 18%|█▊ | 65/363 [00:01<00:08, 36.56it/s] Loading 0: 19%|█▉ | 69/363 [00:01<00:08, 34.82it/s] Loading 0: 21%|██ | 75/363 [00:02<00:08, 35.13it/s] Loading 0: 22%|██▏ | 80/363 [00:02<00:08, 33.54it/s] Loading 0: 24%|██▎ | 86/363 [00:02<00:07, 38.19it/s] Loading 0: 25%|██▌ | 91/363 [00:02<00:07, 36.77it/s] Loading 0: 27%|██▋ | 97/363 [00:02<00:06, 38.11it/s] Loading 0: 28%|██▊ | 101/363 [00:02<00:06, 37.87it/s] Loading 0: 29%|██▉ | 105/363 [00:02<00:07, 35.77it/s] Loading 0: 31%|███ | 113/363 [00:03<00:05, 42.08it/s] Loading 0: 33%|███▎ | 118/363 [00:03<00:06, 35.54it/s] Loading 0: 34%|███▎ | 122/363 [00:03<00:06, 34.84it/s] Loading 0: 35%|███▌ | 128/363 [00:03<00:06, 36.95it/s] Loading 0: 36%|███▋ | 132/363 [00:03<00:06, 34.12it/s] Loading 0: 38%|███▊ | 137/363 [00:03<00:06, 36.01it/s] Loading 0: 39%|███▉ | 141/363 [00:03<00:06, 36.34it/s] Loading 0: 40%|███▉ | 145/363 [00:04<00:06, 33.00it/s] Loading 0: 41%|████ | 149/363 [00:04<00:06, 32.23it/s] Loading 0: 43%|████▎ | 157/363 [00:04<00:04, 43.57it/s] Loading 0: 45%|████▍ | 162/363 [00:04<00:06, 33.24it/s] Loading 0: 46%|████▌ | 167/363 [00:04<00:05, 34.26it/s] Loading 0: 48%|████▊ | 176/363 [00:04<00:04, 41.70it/s] Loading 0: 50%|████▉ | 181/363 [00:05<00:05, 34.68it/s] Loading 0: 51%|█████ | 185/363 [00:05<00:05, 33.17it/s] Loading 0: 53%|█████▎ | 191/363 [00:05<00:04, 35.41it/s] Loading 0: 54%|█████▎ | 195/363 [00:05<00:04, 34.14it/s] Loading 0: 55%|█████▌ | 201/363 [00:05<00:04, 34.86it/s] Loading 0: 57%|█████▋ | 206/363 [00:05<00:04, 34.93it/s] Loading 0: 58%|█████▊ | 212/363 [00:05<00:04, 35.03it/s] Loading 0: 60%|██████ | 218/363 [00:06<00:03, 39.75it/s] Loading 0: 61%|██████▏ | 223/363 [00:06<00:03, 35.58it/s] Loading 0: 63%|██████▎ | 227/363 [00:06<00:03, 35.38it/s] Loading 0: 64%|██████▎ | 231/363 [00:06<00:03, 33.65it/s] Loading 0: 66%|██████▌ | 239/363 [00:06<00:03, 40.52it/s] Loading 0: 67%|██████▋ | 244/363 [00:06<00:03, 35.14it/s] Loading 0: 68%|██████▊ | 248/363 [00:06<00:03, 34.31it/s] Loading 0: 70%|██████▉ | 254/363 [00:07<00:03, 34.31it/s] Loading 0: 71%|███████ | 258/363 [00:07<00:03, 33.55it/s] Loading 0: 72%|███████▏ | 263/363 [00:07<00:02, 37.24it/s] Loading 0: 74%|███████▎ | 267/363 [00:07<00:02, 37.52it/s] Loading 0: 75%|███████▍ | 271/363 [00:07<00:02, 33.18it/s] Loading 0: 76%|███████▌ | 275/363 [00:07<00:02, 31.21it/s] Loading 0: 77%|███████▋ | 281/363 [00:07<00:02, 37.61it/s] Loading 0: 79%|███████▉ | 286/363 [00:08<00:02, 33.19it/s] Loading 0: 80%|███████▉ | 290/363 [00:08<00:02, 32.35it/s] Loading 0: 81%|████████ | 294/363 [00:08<00:02, 30.20it/s] Loading 0: 83%|████████▎ | 302/363 [00:08<00:01, 37.32it/s] Loading 0: 84%|████████▍ | 306/363 [00:08<00:01, 30.05it/s] Loading 0: 86%|████████▌ | 311/363 [00:08<00:01, 32.69it/s] Loading 0: 87%|████████▋ | 317/363 [00:08<00:01, 35.26it/s] Loading 0: 88%|████████▊ | 321/363 [00:09<00:01, 34.48it/s] Loading 0: 90%|█████████ | 327/363 [00:09<00:01, 35.44it/s] Loading 0: 91%|█████████▏| 332/363 [00:09<00:00, 34.74it/s] Loading 0: 93%|█████████▎| 338/363 [00:09<00:00, 36.00it/s] Loading 0: 95%|█████████▌| 346/363 [00:09<00:00, 45.21it/s] Loading 0: 97%|█████████▋| 351/363 [00:10<00:00, 25.45it/s] Loading 0: 98%|█████████▊| 355/363 [00:10<00:00, 27.69it/s] Loading 0: 99%|█████████▉| 359/363 [00:10<00:00, 29.51it/s]
Job junhua024-chai-1-full-066122-v3-mkmlizer completed after 157.9s with status: succeeded
Stopping job with name junhua024-chai-1-full-066122-v3-mkmlizer
Pipeline stage MKMLizer completed in 158.49s
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-1-full-066122-v3
Waiting for inference service junhua024-chai-1-full-066122-v3 to be ready
Failed to get response for submission nitral-ai-captain-bmo-12b_v75: HTTPConnectionPool(host='nitral-ai-captain-bmo-12b-v75-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-066122-v3 ready after 191.40035581588745s
Pipeline stage MKMLDeployer completed in 191.94s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.553799629211426s
Received healthy response to inference request in 1.7239949703216553s
Received healthy response to inference request in 1.8738486766815186s
Received healthy response to inference request in 1.913189172744751s
Received healthy response to inference request in 1.7031126022338867s
5 requests
0 failed requests
5th percentile: 1.7072890758514405
10th percentile: 1.711465549468994
20th percentile: 1.7198184967041015
30th percentile: 1.753965711593628
40th percentile: 1.8139071941375733
50th percentile: 1.8738486766815186
60th percentile: 1.8895848751068116
70th percentile: 1.9053210735321044
80th percentile: 2.041311264038086
90th percentile: 2.297555446624756
95th percentile: 2.425677537918091
99th percentile: 2.528175210952759
mean time: 1.9535890102386475
Pipeline stage StressChecker completed in 11.22s
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 0.79s
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 0.69s
Shutdown handler de-registered
junhua024-chai-1-full-066122_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 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066122-v3-profiler
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 3596.07s
Shutdown handler de-registered
junhua024-chai-1-full-066122_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066122_v3 status is now torndown due to DeploymentManager action