junhua024-chai-16-full-_96988

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_96988_v2
model_name: junhua024-chai-16-full-_96988_v2
model_group: junhua024/chai_16_full_q
status: torndown
timestamp: 2025-07-20T08:34:01+00:00
num_battles: 7481
num_wins: 3587
celo_rating: 1271.35
family_friendly_score: 0.5609999999999999
family_friendly_standard_error: 0.007018247644533499
submission_type: basic
model_repo: junhua024/chai_16_full_qkv106_o106_ffn106_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': 0.5974981622066401, 'latency_mean': 1.6735383868217468, 'latency_p50': 1.6644948720932007, 'latency_p90': 1.8456067800521851}, {'batch_size': 3, 'throughput': 1.0726676940453541, 'latency_mean': 2.783210891485214, 'latency_p50': 2.78629469871521, 'latency_p90': 3.052963209152222}, {'batch_size': 5, 'throughput': 1.2874939530885727, 'latency_mean': 3.8576156091690064, 'latency_p50': 3.8621567487716675, 'latency_p90': 4.367205429077148}, {'batch_size': 6, 'throughput': 1.34888939246492, 'latency_mean': 4.4148171317577365, 'latency_p50': 4.4338191747665405, 'latency_p90': 4.923127603530884}, {'batch_size': 8, 'throughput': 1.4187583484803308, 'latency_mean': 5.594025218486786, 'latency_p50': 5.6426533460617065, 'latency_p90': 6.23695011138916}, {'batch_size': 10, 'throughput': 1.4546129973696909, 'latency_mean': 6.81919986128807, 'latency_p50': 6.773151516914368, 'latency_p90': 7.755233383178711}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_96988_v2
is_internal_developer: False
language_model: junhua024/chai_16_full_qkv106_o106_ffn106_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-20
win_ratio: 0.47948135276032616
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-96988-v2-mkmlizer
Waiting for job on junhua024-chai-16-full-96988-v2-mkmlizer to finish
junhua024-chai-16-full-96988-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-16-full-96988-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-96988-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-96988-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-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-96988-v2-mkmlizer: Downloaded to shared memory in 133.261s
junhua024-chai-16-full-96988-v2-mkmlizer: Checking if junhua024/chai_16_full_qkv106_o106_ffn106_1925 already exists in ChaiML
junhua024-chai-16-full-96988-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmphgy5pbc9, device:0
junhua024-chai-16-full-96988-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-96988-v2-mkmlizer: quantized model in 34.594s
junhua024-chai-16-full-96988-v2-mkmlizer: Processed model junhua024/chai_16_full_qkv106_o106_ffn106_1925 in 167.942s
junhua024-chai-16-full-96988-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-96988-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-96988-v2/nvidia/config.json
junhua024-chai-16-full-96988-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-96988-v2/nvidia/special_tokens_map.json
junhua024-chai-16-full-96988-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-96988-v2/nvidia/tokenizer_config.json
junhua024-chai-16-full-96988-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-96988-v2/nvidia/tokenizer.json
junhua024-chai-16-full-96988-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-96988-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-96988-v2-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:24, 14.72it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:21, 16.48it/s]
Loading 0:   3%|▎         | 11/363 [00:00<00:11, 31.59it/s]
Loading 0:   4%|▍         | 15/363 [00:00<00:10, 34.04it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:12, 28.56it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:12, 27.68it/s]
Loading 0:   8%|▊         | 29/363 [00:00<00:09, 34.32it/s]
Loading 0:   9%|▉         | 34/363 [00:01<00:10, 30.89it/s]
Loading 0:  10%|█         | 38/363 [00:01<00:10, 30.72it/s]
Loading 0:  12%|█▏        | 42/363 [00:01<00:11, 28.80it/s]
Loading 0:  13%|█▎        | 46/363 [00:01<00:10, 31.06it/s]
Loading 0:  14%|█▍        | 50/363 [00:01<00:09, 33.17it/s]
Loading 0:  15%|█▍        | 54/363 [00:01<00:13, 22.97it/s]
Loading 0:  16%|█▋        | 59/363 [00:02<00:12, 23.65it/s]
Loading 0:  18%|█▊        | 64/363 [00:02<00:10, 27.29it/s]
Loading 0:  19%|█▊        | 68/363 [00:02<00:13, 22.09it/s]
Loading 0:  20%|██        | 73/363 [00:02<00:10, 26.82it/s]
Loading 0:  21%|██        | 77/363 [00:02<00:10, 26.92it/s]
Loading 0:  22%|██▏       | 81/363 [00:03<00:11, 23.94it/s]
Loading 0:  24%|██▎       | 86/363 [00:03<00:10, 27.39it/s]
Loading 0:  25%|██▌       | 91/363 [00:03<00:09, 28.14it/s]
Loading 0:  26%|██▋       | 96/363 [00:03<00:08, 32.49it/s]
Loading 0:  28%|██▊       | 100/363 [00:03<00:09, 26.70it/s]
Loading 0:  29%|██▊       | 104/363 [00:03<00:10, 25.74it/s]
Loading 0:  31%|███       | 111/363 [00:03<00:07, 34.57it/s]
Loading 0:  32%|███▏      | 116/363 [00:04<00:08, 29.58it/s]
Loading 0:  33%|███▎      | 120/363 [00:04<00:08, 29.68it/s]
Loading 0:  34%|███▍      | 124/363 [00:04<00:08, 29.18it/s]
Loading 0:  35%|███▌      | 128/363 [00:04<00:09, 26.07it/s]
Loading 0:  36%|███▌      | 131/363 [00:04<00:09, 23.98it/s]
Loading 0:  37%|███▋      | 136/363 [00:04<00:07, 28.85it/s]
Loading 0:  39%|███▊      | 140/363 [00:05<00:08, 27.57it/s]
Loading 0:  39%|███▉      | 143/363 [00:05<00:10, 21.24it/s]
Loading 0:  41%|████      | 149/363 [00:05<00:08, 24.21it/s]
Loading 0:  42%|████▏     | 154/363 [00:05<00:07, 28.32it/s]
Loading 0:  44%|████▍     | 159/363 [00:05<00:06, 30.85it/s]
Loading 0:  45%|████▍     | 163/363 [00:05<00:08, 24.34it/s]
Loading 0:  46%|████▌     | 167/363 [00:06<00:08, 24.43it/s]
Loading 0:  47%|████▋     | 172/363 [00:06<00:06, 29.17it/s]
Loading 0:  49%|████▉     | 177/363 [00:06<00:06, 28.09it/s]
Loading 0:  50%|████▉     | 181/363 [00:06<00:06, 27.65it/s]
Loading 0:  51%|█████     | 185/363 [00:06<00:06, 26.94it/s]
Loading 0:  52%|█████▏    | 190/363 [00:06<00:05, 31.46it/s]
Loading 0:  53%|█████▎    | 194/363 [00:07<00:06, 24.58it/s]
Loading 0:  55%|█████▌    | 200/363 [00:07<00:05, 30.61it/s]
Loading 0:  56%|█████▌    | 204/363 [00:07<00:05, 31.10it/s]
Loading 0:  57%|█████▋    | 208/363 [00:07<00:05, 27.09it/s]
Loading 0:  58%|█████▊    | 212/363 [00:07<00:05, 26.57it/s]
Loading 0:  60%|█████▉    | 217/363 [00:07<00:04, 31.46it/s]
Loading 0:  61%|██████    | 222/363 [00:07<00:04, 34.22it/s]
Loading 0:  62%|██████▏   | 226/363 [00:08<00:05, 26.16it/s]
Loading 0:  63%|██████▎   | 230/363 [00:08<00:05, 24.47it/s]
Loading 0:  65%|██████▍   | 235/363 [00:08<00:04, 28.09it/s]
Loading 0:  66%|██████▌   | 239/363 [00:08<00:04, 29.92it/s]
Loading 0:  67%|██████▋   | 243/363 [00:08<00:05, 22.81it/s]
Loading 0:  68%|██████▊   | 248/363 [00:09<00:04, 25.40it/s]
Loading 0:  70%|██████▉   | 253/363 [00:09<00:03, 29.92it/s]
Loading 0:  71%|███████   | 257/363 [00:09<00:04, 23.88it/s]
Loading 0:  72%|███████▏  | 262/363 [00:09<00:03, 28.59it/s]
Loading 0:  73%|███████▎  | 266/363 [00:09<00:03, 28.21it/s]
Loading 0:  74%|███████▍  | 270/363 [00:09<00:03, 25.10it/s]
Loading 0:  76%|███████▌  | 275/363 [00:10<00:03, 27.26it/s]
Loading 0:  77%|███████▋  | 280/363 [00:10<00:02, 31.81it/s]
Loading 0:  79%|███████▊  | 285/363 [00:10<00:02, 34.43it/s]
Loading 0:  80%|███████▉  | 289/363 [00:10<00:02, 27.11it/s]
Loading 0:  81%|████████  | 293/363 [00:10<00:02, 25.48it/s]
Loading 0:  82%|████████▏ | 298/363 [00:10<00:02, 30.11it/s]
Loading 0:  83%|████████▎ | 302/363 [00:10<00:01, 32.14it/s]
Loading 0:  84%|████████▍ | 306/363 [00:11<00:02, 24.82it/s]
Loading 0:  86%|████████▌ | 311/363 [00:11<00:01, 26.65it/s]
Loading 0:  87%|████████▋ | 316/363 [00:11<00:01, 31.05it/s]
Loading 0:  88%|████████▊ | 320/363 [00:11<00:01, 24.65it/s]
Loading 0:  90%|████████▉ | 326/363 [00:11<00:01, 30.20it/s]
Loading 0:  91%|█████████ | 330/363 [00:11<00:01, 29.60it/s]
Loading 0:  92%|█████████▏| 334/363 [00:12<00:01, 25.20it/s]
Loading 0:  93%|█████████▎| 338/363 [00:12<00:00, 25.09it/s]
Loading 0:  94%|█████████▍| 343/363 [00:12<00:00, 29.78it/s]
Loading 0:  96%|█████████▌| 348/363 [00:12<00:00, 32.44it/s]
Loading 0:  97%|█████████▋| 352/363 [00:13<00:00, 17.34it/s]
Loading 0:  98%|█████████▊| 357/363 [00:13<00:00, 20.61it/s]
                                                            
Job junhua024-chai-16-full-96988-v2-mkmlizer completed after 201.09s with status: succeeded
Stopping job with name junhua024-chai-16-full-96988-v2-mkmlizer
Pipeline stage MKMLizer completed in 201.63s
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-96988-v2
Waiting for inference service junhua024-chai-16-full-96988-v2 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)
Inference service junhua024-chai-16-full-96988-v2 ready after 321.8011665344238s
Pipeline stage MKMLDeployer completed in 322.24s
run pipeline stage %s
Running pipeline stage StressChecker
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 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)
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.7965986728668213s
Received healthy response to inference request in 1.801708698272705s
Received healthy response to inference request in 1.8166453838348389s
Received healthy response to inference request in 1.5623409748077393s
5 requests
1 failed requests
5th percentile: 1.6102145195007325
10th percentile: 1.6580880641937257
20th percentile: 1.7538351535797119
30th percentile: 1.8046960353851318
40th percentile: 1.8106707096099854
50th percentile: 1.8166453838348389
60th percentile: 2.2086266994476316
70th percentile: 2.6006080150604247
80th percentile: 6.264002275466922
90th percentile: 13.198809480667116
95th percentile: 16.66621308326721
99th percentile: 19.440135965347288
mean time: 5.622182083129883
%s, retrying in %s seconds...
Received healthy response to inference request in 1.5389087200164795s
Received healthy response to inference request in 1.8834471702575684s
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)
Received healthy response to inference request in 1.678100347518921s
Received healthy response to inference request in 1.5307509899139404s
Received healthy response to inference request in 1.533600091934204s
5 requests
0 failed requests
5th percentile: 1.5313208103179932
10th percentile: 1.531890630722046
20th percentile: 1.5330302715301514
30th percentile: 1.5346618175506592
40th percentile: 1.5367852687835692
50th percentile: 1.5389087200164795
60th percentile: 1.594585371017456
70th percentile: 1.6502620220184325
80th percentile: 1.7191697120666505
90th percentile: 1.8013084411621094
95th percentile: 1.8423778057098388
99th percentile: 1.8752332973480224
mean time: 1.6329614639282226
Pipeline stage StressChecker completed in 39.12s
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 0.70s
Shutdown handler de-registered
junhua024-chai-16-full-_96988_v2 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
Pipeline stage OfflineFamilyFriendlyScorer completed in 4750.84s
Shutdown handler de-registered
junhua024-chai-16-full-_96988_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_96988_v2 status is now torndown due to DeploymentManager action