junhua024-chai-16-full-qkv_72

developer_uid: junhua024
submission_id: junhua024-chai-16-full-qkv_72_v4
model_name: junhua024-chai-16-full-qkv_72_v4
model_group: junhua024/chai_16_full_q
status: torndown
timestamp: 2025-07-20T15:28:45+00:00
num_battles: 7144
num_wins: 3502
celo_rating: 1277.8
family_friendly_score: 0.5532
family_friendly_standard_error: 0.0070309282459715084
submission_type: basic
model_repo: junhua024/chai_16_full_qkv100_o106_ffn106_1624
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': 0.5996647899467517, 'latency_mean': 1.6674866211414336, 'latency_p50': 1.6642708778381348, 'latency_p90': 1.8278650522232056}, {'batch_size': 3, 'throughput': 1.0882244173934104, 'latency_mean': 2.7426051557064057, 'latency_p50': 2.740928292274475, 'latency_p90': 3.003969430923462}, {'batch_size': 5, 'throughput': 1.3137924740831048, 'latency_mean': 3.784075837135315, 'latency_p50': 3.7640955448150635, 'latency_p90': 4.300883007049561}, {'batch_size': 6, 'throughput': 1.3649450571168416, 'latency_mean': 4.367533951997757, 'latency_p50': 4.35885214805603, 'latency_p90': 4.911237812042236}, {'batch_size': 8, 'throughput': 1.4268474898881427, 'latency_mean': 5.575232882499694, 'latency_p50': 5.597328305244446, 'latency_p90': 6.199840664863586}, {'batch_size': 10, 'throughput': 1.473188408361375, 'latency_mean': 6.724411242008209, 'latency_p50': 6.732223272323608, 'latency_p90': 7.7469374418258665}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-qkv_72_v4
is_internal_developer: False
language_model: junhua024/chai_16_full_qkv100_o106_ffn106_1624
model_size: 13B
ranking_group: single
throughput_3p7s: 1.31
us_pacific_date: 2025-07-20
win_ratio: 0.4902015677491601
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-qkv-72-v4-mkmlizer
Waiting for job on junhua024-chai-16-full-qkv-72-v4-mkmlizer to finish
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-qkv-72-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-qkv-72-v4-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-_94000_v6: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v6-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-qkv-72-v4-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-qkv-72-v4-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-qkv-72-v4-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-qkv-72-v4-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-qkv-72-v4-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-qkv-72-v4-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-qkv-72-v4-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-qkv-72-v4-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-_94000_v6: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v6-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-qkv-72-v4-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-qkv-72-v4-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-qkv-72-v4-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-qkv-72-v4-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-qkv-72-v4-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-qkv-72-v4-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-_94000_v6: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v6-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-_94000_v6: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v6-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-qkv-72-v4-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-qkv-72-v4-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-16-full-qkv-72-v4-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-qkv-72-v4-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-qkv-72-v4-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-qkv-72-v4-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-qkv-72-v4-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-qkv-72-v4-mkmlizer: Downloaded to shared memory in 126.938s
junhua024-chai-16-full-qkv-72-v4-mkmlizer: Checking if junhua024/chai_16_full_qkv100_o106_ffn106_1624 already exists in ChaiML
junhua024-chai-16-full-qkv-72-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpc8wf6o1u, device:0
junhua024-chai-16-full-qkv-72-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-qkv-72-v4-mkmlizer: quantized model in 33.698s
junhua024-chai-16-full-qkv-72-v4-mkmlizer: Processed model junhua024/chai_16_full_qkv100_o106_ffn106_1624 in 160.720s
junhua024-chai-16-full-qkv-72-v4-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-qkv-72-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-qkv-72-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-qkv-72-v4/nvidia
junhua024-chai-16-full-qkv-72-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-qkv-72-v4/nvidia/config.json
junhua024-chai-16-full-qkv-72-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-qkv-72-v4/nvidia/special_tokens_map.json
junhua024-chai-16-full-qkv-72-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-qkv-72-v4/nvidia/tokenizer_config.json
junhua024-chai-16-full-qkv-72-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-qkv-72-v4/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-qkv-72-v4-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:24, 14.74it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:21, 16.79it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:12, 28.61it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:11, 30.81it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:10, 33.11it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:07, 46.47it/s]
Loading 0:  10%|█         | 38/363 [00:01<00:08, 36.33it/s]
Loading 0:  12%|█▏        | 43/363 [00:01<00:09, 35.00it/s]
Loading 0:  14%|█▍        | 50/363 [00:01<00:08, 39.05it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:09, 32.89it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:09, 30.87it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:09, 32.31it/s]
Loading 0:  19%|█▉        | 69/363 [00:02<00:09, 30.29it/s]
Loading 0:  20%|██        | 73/363 [00:02<00:08, 32.26it/s]
Loading 0:  21%|██        | 77/363 [00:02<00:09, 30.94it/s]
Loading 0:  22%|██▏       | 81/363 [00:02<00:10, 26.92it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:09, 30.11it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:09, 30.16it/s]
Loading 0:  27%|██▋       | 97/363 [00:03<00:08, 30.26it/s]
Loading 0:  28%|██▊       | 101/363 [00:03<00:08, 29.93it/s]
Loading 0:  29%|██▉       | 105/363 [00:03<00:09, 27.19it/s]
Loading 0:  31%|███       | 111/363 [00:03<00:07, 33.62it/s]
Loading 0:  32%|███▏      | 115/363 [00:03<00:08, 28.40it/s]
Loading 0:  33%|███▎      | 119/363 [00:03<00:08, 28.89it/s]
Loading 0:  34%|███▍      | 123/363 [00:03<00:08, 27.65it/s]
Loading 0:  35%|███▍      | 127/363 [00:04<00:07, 30.11it/s]
Loading 0:  36%|███▌      | 131/363 [00:04<00:09, 23.47it/s]
Loading 0:  37%|███▋      | 136/363 [00:04<00:08, 28.18it/s]
Loading 0:  39%|███▊      | 140/363 [00:04<00:07, 28.17it/s]
Loading 0:  40%|███▉      | 144/363 [00:04<00:08, 24.72it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:07, 27.24it/s]
Loading 0:  43%|████▎     | 155/363 [00:05<00:06, 33.79it/s]
Loading 0:  44%|████▍     | 160/363 [00:05<00:06, 32.31it/s]
Loading 0:  45%|████▌     | 164/363 [00:05<00:06, 32.50it/s]
Loading 0:  46%|████▋     | 168/363 [00:05<00:06, 31.06it/s]
Loading 0:  48%|████▊     | 176/363 [00:05<00:05, 37.30it/s]
Loading 0:  50%|████▉     | 180/363 [00:05<00:06, 28.88it/s]
Loading 0:  51%|█████     | 185/363 [00:06<00:05, 30.38it/s]
Loading 0:  53%|█████▎    | 191/363 [00:06<00:05, 32.22it/s]
Loading 0:  54%|█████▎    | 195/363 [00:06<00:05, 31.12it/s]
Loading 0:  55%|█████▌    | 200/363 [00:06<00:04, 34.86it/s]
Loading 0:  56%|█████▌    | 204/363 [00:06<00:04, 34.78it/s]
Loading 0:  57%|█████▋    | 208/363 [00:06<00:05, 29.81it/s]
Loading 0:  58%|█████▊    | 212/363 [00:06<00:05, 28.97it/s]
Loading 0:  60%|██████    | 218/363 [00:07<00:04, 35.64it/s]
Loading 0:  61%|██████▏   | 223/363 [00:07<00:04, 32.91it/s]
Loading 0:  63%|██████▎   | 227/363 [00:07<00:04, 31.57it/s]
Loading 0:  64%|██████▎   | 231/363 [00:07<00:04, 28.99it/s]
Loading 0:  65%|██████▌   | 237/363 [00:07<00:03, 35.42it/s]
Loading 0:  66%|██████▋   | 241/363 [00:07<00:04, 29.78it/s]
Loading 0:  67%|██████▋   | 245/363 [00:07<00:03, 30.02it/s]
Loading 0:  69%|██████▊   | 249/363 [00:08<00:03, 29.13it/s]
Loading 0:  70%|██████▉   | 254/363 [00:08<00:03, 28.54it/s]
Loading 0:  71%|███████   | 257/363 [00:08<00:04, 25.99it/s]
Loading 0:  72%|███████▏  | 263/363 [00:08<00:03, 31.95it/s]
Loading 0:  74%|███████▎  | 267/363 [00:08<00:03, 31.21it/s]
Loading 0:  75%|███████▍  | 271/363 [00:08<00:03, 27.19it/s]
Loading 0:  76%|███████▌  | 275/363 [00:09<00:04, 20.44it/s]
Loading 0:  77%|███████▋  | 280/363 [00:09<00:03, 25.44it/s]
Loading 0:  79%|███████▊  | 285/363 [00:09<00:02, 29.13it/s]
Loading 0:  80%|███████▉  | 289/363 [00:09<00:03, 24.44it/s]
Loading 0:  81%|████████  | 293/363 [00:09<00:02, 24.57it/s]
Loading 0:  82%|████████▏ | 298/363 [00:09<00:02, 29.49it/s]
Loading 0:  83%|████████▎ | 303/363 [00:10<00:02, 29.31it/s]
Loading 0:  85%|████████▍ | 307/363 [00:10<00:01, 29.86it/s]
Loading 0:  86%|████████▌ | 311/363 [00:10<00:01, 29.27it/s]
Loading 0:  87%|████████▋ | 317/363 [00:10<00:01, 31.78it/s]
Loading 0:  88%|████████▊ | 321/363 [00:10<00:01, 31.15it/s]
Loading 0:  90%|█████████ | 327/363 [00:10<00:01, 32.04it/s]
Loading 0:  91%|█████████▏| 332/363 [00:10<00:00, 32.33it/s]
Loading 0:  93%|█████████▎| 338/363 [00:11<00:00, 33.46it/s]
Loading 0:  95%|█████████▍| 344/363 [00:11<00:00, 38.45it/s]
Loading 0:  96%|█████████▌| 349/363 [00:11<00:00, 26.37it/s]
Loading 0:  97%|█████████▋| 353/363 [00:11<00:00, 23.57it/s]
Loading 0:  98%|█████████▊| 357/363 [00:11<00:00, 24.89it/s]
                                                            
Job junhua024-chai-16-full-qkv-72-v4-mkmlizer completed after 192.4s with status: succeeded
Stopping job with name junhua024-chai-16-full-qkv-72-v4-mkmlizer
Pipeline stage MKMLizer completed in 193.56s
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-qkv-72-v4
Waiting for inference service junhua024-chai-16-full-qkv-72-v4 to be ready
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)
Failed to get response for submission junhua024-chai-16-full-_94000_v7: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v7-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)
Failed to get response for submission junhua024-chai-16-full-_94000_v9: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v9-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Unable to record family friendly update due to error: HTTPConnectionPool(host='chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x728cc91c9e50>, 'Connection to chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
Failed to get response for submission junhua024-chai-16-full-_94000_v6: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v6-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-16-full-qkv-72-v4 ready after 331.6694085597992s
Pipeline stage MKMLDeployer completed in 332.23s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.311634063720703s
Received healthy response to inference request in 1.9830305576324463s
Received healthy response to inference request in 2.582253932952881s
Received healthy response to inference request in 1.9494030475616455s
Received healthy response to inference request in 1.7847826480865479s
5 requests
0 failed requests
5th percentile: 1.8177067279815673
10th percentile: 1.850630807876587
20th percentile: 1.916478967666626
30th percentile: 1.9561285495758056
40th percentile: 1.969579553604126
50th percentile: 1.9830305576324463
60th percentile: 2.114471960067749
70th percentile: 2.245913362503052
80th percentile: 2.3657580375671388
90th percentile: 2.4740059852600096
95th percentile: 2.5281299591064452
99th percentile: 2.5714291381835936
mean time: 2.122220849990845
Pipeline stage StressChecker completed in 12.21s
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 0.71s
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 1.10s
Shutdown handler de-registered
junhua024-chai-16-full-qkv_72_v4 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
%s, retrying in %s seconds...
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 5684.51s
Shutdown handler de-registered
junhua024-chai-16-full-qkv_72_v4 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-qkv_72_v4 status is now torndown due to DeploymentManager action