junhua024-chai-02-full-06105

developer_uid: junhua024
submission_id: junhua024-chai-02-full-06105_v2
model_name: junhua024-chai-02-full-06105_v2
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-16T16:33:51+00:00
num_battles: 8598
num_wins: 4345
celo_rating: 1279.96
family_friendly_score: 0.5522
family_friendly_standard_error: 0.007032427177013638
submission_type: basic
model_repo: junhua024/chai_02_full_06105
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': 0.5921252220476289, 'latency_mean': 1.6887213826179504, 'latency_p50': 1.7032660245895386, 'latency_p90': 1.8680075883865357}, {'batch_size': 3, 'throughput': 1.0673452895986801, 'latency_mean': 2.8007612895965575, 'latency_p50': 2.801258683204651, 'latency_p90': 3.082602024078369}, {'batch_size': 5, 'throughput': 1.2906668725019317, 'latency_mean': 3.856261329650879, 'latency_p50': 3.8359367847442627, 'latency_p90': 4.29595193862915}, {'batch_size': 6, 'throughput': 1.3494140493667552, 'latency_mean': 4.4283770966529845, 'latency_p50': 4.416369199752808, 'latency_p90': 4.936508154869079}, {'batch_size': 8, 'throughput': 1.4080951123815726, 'latency_mean': 5.642135086059571, 'latency_p50': 5.679831504821777, 'latency_p90': 6.276334953308106}, {'batch_size': 10, 'throughput': 1.4377892851658922, 'latency_mean': 6.882909069061279, 'latency_p50': 6.976277112960815, 'latency_p90': 7.772469711303711}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-06105_v2
is_internal_developer: False
language_model: junhua024/chai_02_full_06105
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-16
win_ratio: 0.5053500814142824
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-02-full-06105-v2-mkmlizer
Waiting for job on junhua024-chai-02-full-06105-v2-mkmlizer to finish
junhua024-chai-02-full-06105-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-06105-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-06105-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06105-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-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-02-full-06105-v2-mkmlizer: Downloaded to shared memory in 127.558s
junhua024-chai-02-full-06105-v2-mkmlizer: Checking if junhua024/chai_02_full_06105 already exists in ChaiML
junhua024-chai-02-full-06105-v2-mkmlizer: Creating repo ChaiML/chai_02_full_06105 and uploading /tmp/tmp15of9hd0 to it
junhua024-chai-02-full-06105-v2-mkmlizer: 
  0%|          | 0/26 [00:00<?, ?it/s]
  4%|▍         | 1/26 [00:02<01:09,  2.78s/it]
  8%|▊         | 2/26 [00:04<00:52,  2.17s/it]
 12%|█▏        | 3/26 [00:06<00:47,  2.08s/it]
 15%|█▌        | 4/26 [00:12<01:20,  3.64s/it]
 19%|█▉        | 5/26 [00:14<01:00,  2.90s/it]
 23%|██▎       | 6/26 [00:18<01:08,  3.42s/it]
 27%|██▋       | 7/26 [00:20<00:54,  2.89s/it]
 31%|███       | 8/26 [00:22<00:45,  2.55s/it]
 35%|███▍      | 9/26 [00:24<00:41,  2.42s/it]
 38%|███▊      | 10/26 [00:26<00:38,  2.44s/it]
 42%|████▏     | 11/26 [00:32<00:53,  3.58s/it]
 46%|████▌     | 12/26 [00:39<01:00,  4.35s/it]
 50%|█████     | 13/26 [00:40<00:46,  3.61s/it]
 54%|█████▍    | 14/26 [00:44<00:41,  3.47s/it]
 58%|█████▊    | 15/26 [00:45<00:32,  2.98s/it]
 62%|██████▏   | 16/26 [00:48<00:28,  2.85s/it]
 65%|██████▌   | 17/26 [00:50<00:22,  2.48s/it]
 69%|██████▉   | 18/26 [00:52<00:18,  2.32s/it]
 73%|███████▎  | 19/26 [00:56<00:20,  2.99s/it]
 77%|███████▋  | 20/26 [00:59<00:17,  2.85s/it]
 81%|████████  | 21/26 [01:01<00:13,  2.63s/it]
 85%|████████▍ | 22/26 [01:03<00:09,  2.37s/it]
 88%|████████▊ | 23/26 [01:04<00:06,  2.18s/it]
 92%|█████████▏| 24/26 [01:06<00:04,  2.20s/it]
 96%|█████████▌| 25/26 [01:08<00:02,  2.06s/it]
100%|██████████| 26/26 [01:09<00:00,  1.76s/it]
100%|██████████| 26/26 [01:09<00:00,  2.68s/it]
junhua024-chai-02-full-06105-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp15of9hd0, device:0
junhua024-chai-02-full-06105-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-06105-v2-mkmlizer: quantized model in 31.756s
junhua024-chai-02-full-06105-v2-mkmlizer: Processed model junhua024/chai_02_full_06105 in 257.970s
junhua024-chai-02-full-06105-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-06105-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-06105-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-06105-v2/nvidia
junhua024-chai-02-full-06105-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-06105-v2/nvidia/config.json
junhua024-chai-02-full-06105-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-06105-v2/nvidia/special_tokens_map.json
junhua024-chai-02-full-06105-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-06105-v2/nvidia/tokenizer_config.json
junhua024-chai-02-full-06105-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-06105-v2/nvidia/tokenizer.json
junhua024-chai-02-full-06105-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-06105-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-06105-v2-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:22, 16.13it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:19, 18.47it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:11, 30.19it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:11, 30.89it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:10, 33.55it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:07, 47.16it/s]
Loading 0:  10%|█         | 38/363 [00:01<00:08, 37.22it/s]
Loading 0:  12%|█▏        | 43/363 [00:01<00:08, 36.54it/s]
Loading 0:  14%|█▍        | 50/363 [00:01<00:07, 40.51it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:08, 34.31it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:09, 33.68it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:08, 35.59it/s]
Loading 0:  19%|█▉        | 69/363 [00:01<00:08, 34.31it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:07, 37.24it/s]
Loading 0:  21%|██▏       | 78/363 [00:02<00:07, 36.42it/s]
Loading 0:  23%|██▎       | 82/363 [00:02<00:08, 32.10it/s]
Loading 0:  25%|██▍       | 89/363 [00:02<00:07, 38.84it/s]
Loading 0:  26%|██▌       | 94/363 [00:02<00:06, 38.53it/s]
Loading 0:  27%|██▋       | 98/363 [00:02<00:07, 33.16it/s]
Loading 0:  28%|██▊       | 102/363 [00:02<00:07, 32.69it/s]
Loading 0:  29%|██▉       | 106/363 [00:03<00:07, 32.56it/s]
Loading 0:  31%|███       | 113/363 [00:03<00:06, 36.90it/s]
Loading 0:  32%|███▏      | 117/363 [00:03<00:08, 29.20it/s]
Loading 0:  34%|███▎      | 122/363 [00:03<00:07, 30.46it/s]
Loading 0:  35%|███▌      | 128/363 [00:03<00:07, 30.31it/s]
Loading 0:  36%|███▋      | 132/363 [00:03<00:07, 29.18it/s]
Loading 0:  38%|███▊      | 137/363 [00:04<00:06, 32.62it/s]
Loading 0:  39%|███▉      | 141/363 [00:04<00:06, 33.79it/s]
Loading 0:  40%|███▉      | 145/363 [00:04<00:07, 30.36it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:07, 29.64it/s]
Loading 0:  43%|████▎     | 155/363 [00:04<00:05, 34.97it/s]
Loading 0:  44%|████▍     | 160/363 [00:04<00:06, 32.88it/s]
Loading 0:  45%|████▌     | 164/363 [00:04<00:06, 31.97it/s]
Loading 0:  46%|████▋     | 168/363 [00:05<00:06, 30.37it/s]
Loading 0:  48%|████▊     | 175/363 [00:05<00:04, 39.33it/s]
Loading 0:  50%|████▉     | 180/363 [00:05<00:06, 29.69it/s]
Loading 0:  51%|█████     | 185/363 [00:05<00:05, 31.73it/s]
Loading 0:  53%|█████▎    | 191/363 [00:05<00:05, 33.75it/s]
Loading 0:  54%|█████▎    | 195/363 [00:05<00:05, 31.73it/s]
Loading 0:  55%|█████▌    | 200/363 [00:05<00:04, 35.08it/s]
Loading 0:  56%|█████▌    | 204/363 [00:06<00:04, 35.06it/s]
Loading 0:  57%|█████▋    | 208/363 [00:06<00:05, 30.20it/s]
Loading 0:  58%|█████▊    | 212/363 [00:06<00:05, 29.28it/s]
Loading 0:  60%|██████    | 218/363 [00:06<00:04, 34.85it/s]
Loading 0:  61%|██████▏   | 223/363 [00:06<00:04, 33.36it/s]
Loading 0:  63%|██████▎   | 227/363 [00:06<00:04, 33.17it/s]
Loading 0:  64%|██████▎   | 231/363 [00:06<00:04, 30.96it/s]
Loading 0:  66%|██████▌   | 238/363 [00:07<00:03, 39.88it/s]
Loading 0:  67%|██████▋   | 243/363 [00:07<00:04, 29.94it/s]
Loading 0:  68%|██████▊   | 248/363 [00:07<00:03, 31.57it/s]
Loading 0:  70%|██████▉   | 254/363 [00:07<00:03, 33.10it/s]
Loading 0:  71%|███████   | 258/363 [00:07<00:03, 32.61it/s]
Loading 0:  73%|███████▎  | 264/363 [00:07<00:02, 33.72it/s]
Loading 0:  74%|███████▍  | 269/363 [00:08<00:02, 33.58it/s]
Loading 0:  76%|███████▌  | 275/363 [00:08<00:02, 34.50it/s]
Loading 0:  77%|███████▋  | 281/363 [00:08<00:02, 39.60it/s]
Loading 0:  79%|███████▉  | 286/363 [00:08<00:02, 36.31it/s]
Loading 0:  80%|███████▉  | 290/363 [00:08<00:02, 34.62it/s]
Loading 0:  81%|████████  | 294/363 [00:08<00:02, 32.07it/s]
Loading 0:  83%|████████▎ | 302/363 [00:08<00:01, 39.20it/s]
Loading 0:  85%|████████▍ | 307/363 [00:09<00:01, 32.82it/s]
Loading 0:  86%|████████▌ | 311/363 [00:09<00:01, 31.11it/s]
Loading 0:  87%|████████▋ | 317/363 [00:09<00:01, 33.21it/s]
Loading 0:  88%|████████▊ | 321/363 [00:09<00:01, 31.77it/s]
Loading 0:  90%|████████▉ | 326/363 [00:09<00:01, 35.58it/s]
Loading 0:  91%|█████████ | 330/363 [00:09<00:00, 36.55it/s]
Loading 0:  92%|█████████▏| 334/363 [00:09<00:00, 32.41it/s]
Loading 0:  93%|█████████▎| 338/363 [00:10<00:00, 31.36it/s]
Loading 0:  95%|█████████▌| 345/363 [00:10<00:00, 40.51it/s]
Loading 0:  96%|█████████▋| 350/363 [00:10<00:00, 23.17it/s]
Loading 0:  98%|█████████▊| 354/363 [00:10<00:00, 25.81it/s]
Loading 0:  99%|█████████▊| 358/363 [00:10<00:00, 27.49it/s]
                                                            
Job junhua024-chai-02-full-06105-v2-mkmlizer completed after 283.09s with status: succeeded
Stopping job with name junhua024-chai-02-full-06105-v2-mkmlizer
Pipeline stage MKMLizer completed in 283.63s
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-02-full-06105-v2
Waiting for inference service junhua024-chai-02-full-06105-v2 to be ready
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 0x7c50b8736650>, 'Connection to chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
Inference service junhua024-chai-02-full-06105-v2 ready after 261.2701735496521s
Pipeline stage MKMLDeployer completed in 261.75s
run pipeline stage %s
Running pipeline stage StressChecker
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 3.298640727996826s
Received healthy response to inference request in 1.6073381900787354s
Received healthy response to inference request in 1.6536426544189453s
Received healthy response to inference request in 1.830737590789795s
5 requests
1 failed requests
5th percentile: 1.6165990829467773
10th percentile: 1.6258599758148193
20th percentile: 1.6443817615509033
30th percentile: 1.6890616416931152
40th percentile: 1.759899616241455
50th percentile: 1.830737590789795
60th percentile: 2.417898845672607
70th percentile: 3.00506010055542
80th percentile: 6.674168539047244
90th percentile: 13.425224161148073
95th percentile: 16.800751972198483
99th percentile: 19.501174221038816
mean time: 5.713327789306641
%s, retrying in %s seconds...
Received healthy response to inference request in 1.9311065673828125s
Received healthy response to inference request in 1.7183241844177246s
Received healthy response to inference request in 1.5424888134002686s
Received healthy response to inference request in 1.925041675567627s
Received healthy response to inference request in 1.8363752365112305s
5 requests
0 failed requests
5th percentile: 1.5776558876037599
10th percentile: 1.612822961807251
20th percentile: 1.6831571102142333
30th percentile: 1.7419343948364259
40th percentile: 1.7891548156738282
50th percentile: 1.8363752365112305
60th percentile: 1.871841812133789
70th percentile: 1.9073083877563477
80th percentile: 1.926254653930664
90th percentile: 1.9286806106567382
95th percentile: 1.9298935890197755
99th percentile: 1.9308639717102052
mean time: 1.7906672954559326
Pipeline stage StressChecker completed in 40.75s
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 0.65s
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 1.16s
Shutdown handler de-registered
junhua024-chai-02-full-06105_v2 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 0.15s
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-02-full-06105-v2-profiler
Waiting for inference service junhua024-chai-02-full-06105-v2-profiler to be ready
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 3690.57s
Shutdown handler de-registered
junhua024-chai-02-full-06105_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-06105_v2 status is now torndown due to DeploymentManager action
junhua024-chai-02-full-06105_v2 status is now torndown due to DeploymentManager action