junhua024-chai-1-full-06

developer_uid: junhua024
submission_id: junhua024-chai-1-full-06_v2
model_name: junhua024-chai-1-full-06_v2
model_group: junhua024/chai_1-full_06
status: torndown
timestamp: 2025-06-29T05:12:04+00:00
num_battles: 7541
num_wins: 3500
celo_rating: 1247.23
family_friendly_score: 0.626
family_friendly_standard_error: 0.006842864897102675
submission_type: basic
model_repo: junhua024/chai_1-full_06
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': 0.5973174037147512, 'latency_mean': 1.674022238254547, 'latency_p50': 1.6649181842803955, 'latency_p90': 1.8487907886505126}, {'batch_size': 3, 'throughput': 1.083442968876301, 'latency_mean': 2.760657606124878, 'latency_p50': 2.7788935899734497, 'latency_p90': 3.0189578533172607}, {'batch_size': 5, 'throughput': 1.2839392657848232, 'latency_mean': 3.8760042858123778, 'latency_p50': 3.8913220167160034, 'latency_p90': 4.328185558319092}, {'batch_size': 6, 'throughput': 1.364340537987069, 'latency_mean': 4.363518927097321, 'latency_p50': 4.354205369949341, 'latency_p90': 4.896265387535095}, {'batch_size': 8, 'throughput': 1.4290366909070826, 'latency_mean': 5.5582960569858555, 'latency_p50': 5.5052250623703, 'latency_p90': 6.330136179924011}, {'batch_size': 10, 'throughput': 1.4628059278135241, 'latency_mean': 6.770755381584167, 'latency_p50': 6.818149447441101, 'latency_p90': 7.560726284980774}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-06_v2
is_internal_developer: False
language_model: junhua024/chai_1-full_06
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-06-28
win_ratio: 0.4641294258055961
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, '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': "{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-1-full-06-v2-mkmlizer
Waiting for job on junhua024-chai-1-full-06-v2-mkmlizer to finish
junhua024-chai-1-full-06-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-06-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-06-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-1-full-06-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-1-full-06-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-1-full-06-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-1-full-06-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-1-full-06-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-1-full-06-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-1-full-06-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-06-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-06-v2-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-06-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-06-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-06-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-06-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-06-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-06-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-06-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-06-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-06-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-06-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-06-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-06-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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`
Retrying (%r) after connection broken by '%r': %s
junhua024-chai-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-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-1-full-06-v2-mkmlizer: Downloaded to shared memory in 132.761s
junhua024-chai-1-full-06-v2-mkmlizer: Checking if junhua024/chai_1-full_06 already exists in ChaiML
junhua024-chai-1-full-06-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmprb8lnoae, device:0
junhua024-chai-1-full-06-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-06-v2-mkmlizer: quantized model in 32.002s
junhua024-chai-1-full-06-v2-mkmlizer: Processed model junhua024/chai_1-full_06 in 164.861s
junhua024-chai-1-full-06-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-06-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-06-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-06-v2
junhua024-chai-1-full-06-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-06-v2/special_tokens_map.json
junhua024-chai-1-full-06-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-06-v2/config.json
junhua024-chai-1-full-06-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-06-v2/tokenizer_config.json
junhua024-chai-1-full-06-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-06-v2/tokenizer.json
junhua024-chai-1-full-06-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-06-v2/flywheel_model.0.safetensors
junhua024-chai-1-full-06-v2-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:23, 15.31it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:20, 17.61it/s]
Loading 0:   3%|▎         | 11/363 [00:00<00:10, 32.52it/s]
Loading 0:   4%|▍         | 15/363 [00:00<00:09, 34.91it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:12, 28.38it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:12, 28.17it/s]
Loading 0:   8%|▊         | 29/363 [00:00<00:09, 35.99it/s]
Loading 0:   9%|▉         | 34/363 [00:01<00:09, 33.56it/s]
Loading 0:  10%|█         | 38/363 [00:01<00:09, 33.92it/s]
Loading 0:  12%|█▏        | 42/363 [00:01<00:09, 32.36it/s]
Loading 0:  14%|█▍        | 50/363 [00:01<00:08, 38.65it/s]
Loading 0:  15%|█▍        | 54/363 [00:01<00:09, 31.47it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:08, 33.90it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:09, 33.07it/s]
Loading 0:  19%|█▉        | 69/363 [00:02<00:09, 32.16it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:08, 35.80it/s]
Loading 0:  21%|██▏       | 78/363 [00:02<00:07, 36.61it/s]
Loading 0:  23%|██▎       | 82/363 [00:02<00:08, 31.26it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:08, 32.86it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:08, 33.57it/s]
Loading 0:  27%|██▋       | 97/363 [00:02<00:07, 34.03it/s]
Loading 0:  28%|██▊       | 101/363 [00:03<00:07, 33.57it/s]
Loading 0:  29%|██▉       | 105/363 [00:03<00:08, 31.50it/s]
Loading 0:  31%|███       | 113/363 [00:03<00:06, 37.63it/s]
Loading 0:  32%|███▏      | 117/363 [00:03<00:08, 30.53it/s]
Loading 0:  34%|███▎      | 122/363 [00:03<00:07, 32.41it/s]
Loading 0:  35%|███▌      | 128/363 [00:03<00:07, 32.27it/s]
Loading 0:  36%|███▋      | 132/363 [00:04<00:07, 31.71it/s]
Loading 0:  38%|███▊      | 137/363 [00:04<00:06, 34.88it/s]
Loading 0:  39%|███▉      | 141/363 [00:04<00:06, 35.38it/s]
Loading 0:  40%|███▉      | 145/363 [00:04<00:07, 30.27it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:07, 29.38it/s]
Loading 0:  43%|████▎     | 155/363 [00:04<00:05, 34.75it/s]
Loading 0:  44%|████▍     | 160/363 [00:04<00:06, 33.15it/s]
Loading 0:  45%|████▌     | 164/363 [00:05<00:05, 33.58it/s]
Loading 0:  46%|████▋     | 168/363 [00:05<00:06, 31.46it/s]
Loading 0:  48%|████▊     | 176/363 [00:05<00:04, 37.64it/s]
Loading 0:  50%|████▉     | 180/363 [00:05<00:06, 30.07it/s]
Loading 0:  51%|█████     | 185/363 [00:05<00:05, 31.96it/s]
Loading 0:  53%|█████▎    | 191/363 [00:05<00:05, 33.42it/s]
Loading 0:  54%|█████▎    | 195/363 [00:05<00:05, 32.18it/s]
Loading 0:  55%|█████▌    | 200/363 [00:06<00:04, 35.48it/s]
Loading 0:  56%|█████▌    | 204/363 [00:06<00:04, 36.11it/s]
Loading 0:  57%|█████▋    | 208/363 [00:06<00:04, 31.80it/s]
Loading 0:  58%|█████▊    | 212/363 [00:06<00:04, 30.75it/s]
Loading 0:  60%|██████    | 218/363 [00:06<00:03, 37.31it/s]
Loading 0:  61%|██████▏   | 223/363 [00:06<00:03, 35.09it/s]
Loading 0:  63%|██████▎   | 227/363 [00:06<00:03, 35.03it/s]
Loading 0:  64%|██████▎   | 231/363 [00:07<00:04, 32.84it/s]
Loading 0:  66%|██████▌   | 238/363 [00:07<00:02, 41.72it/s]
Loading 0:  67%|██████▋   | 243/363 [00:07<00:03, 30.28it/s]
Loading 0:  68%|██████▊   | 248/363 [00:07<00:03, 31.99it/s]
Loading 0:  70%|██████▉   | 254/363 [00:07<00:03, 33.59it/s]
Loading 0:  71%|███████   | 258/363 [00:07<00:03, 32.15it/s]
Loading 0:  73%|███████▎  | 264/363 [00:08<00:03, 32.25it/s]
Loading 0:  74%|███████▍  | 269/363 [00:08<00:02, 31.86it/s]
Loading 0:  76%|███████▌  | 275/363 [00:08<00:02, 33.23it/s]
Loading 0:  77%|███████▋  | 281/363 [00:08<00:02, 38.07it/s]
Loading 0:  79%|███████▉  | 286/363 [00:08<00:02, 35.98it/s]
Loading 0:  80%|███████▉  | 290/363 [00:08<00:02, 35.66it/s]
Loading 0:  81%|████████  | 294/363 [00:08<00:02, 33.21it/s]
Loading 0:  83%|████████▎ | 301/363 [00:08<00:01, 41.68it/s]
Loading 0:  84%|████████▍ | 306/363 [00:09<00:01, 28.80it/s]
Loading 0:  86%|████████▌ | 311/363 [00:09<00:01, 30.47it/s]
Loading 0:  87%|████████▋ | 317/363 [00:09<00:01, 31.87it/s]
Loading 0:  88%|████████▊ | 321/363 [00:09<00:01, 30.93it/s]
Loading 0:  90%|████████▉ | 326/363 [00:09<00:01, 34.11it/s]
Loading 0:  91%|█████████ | 330/363 [00:09<00:00, 35.07it/s]
Loading 0:  92%|█████████▏| 334/363 [00:10<00:00, 30.66it/s]
Loading 0:  93%|█████████▎| 338/363 [00:10<00:00, 29.98it/s]
Loading 0:  95%|█████████▍| 344/363 [00:10<00:00, 36.23it/s]
Loading 0:  96%|█████████▌| 349/363 [00:10<00:00, 24.27it/s]
Loading 0:  97%|█████████▋| 353/363 [00:10<00:00, 22.59it/s]
Loading 0:  98%|█████████▊| 357/363 [00:11<00:00, 24.33it/s]
                                                            
Job junhua024-chai-1-full-06-v2-mkmlizer completed after 255.48s with status: succeeded
Stopping job with name junhua024-chai-1-full-06-v2-mkmlizer
Pipeline stage MKMLizer completed in 256.11s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-06-v2
Waiting for inference service junhua024-chai-1-full-06-v2 to be ready
Inference service junhua024-chai-1-full-06-v2 ready after 170.57137823104858s
Pipeline stage MKMLDeployer completed in 171.26s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4534752368927s
Received healthy response to inference request in 1.6789510250091553s
Received healthy response to inference request in 1.7248451709747314s
Received healthy response to inference request in 1.480661153793335s
Received healthy response to inference request in 1.7571489810943604s
5 requests
0 failed requests
5th percentile: 1.520319128036499
10th percentile: 1.5599771022796631
20th percentile: 1.6392930507659913
30th percentile: 1.6881298542022705
40th percentile: 1.706487512588501
50th percentile: 1.7248451709747314
60th percentile: 1.737766695022583
70th percentile: 1.7506882190704345
80th percentile: 1.8964142322540285
90th percentile: 2.1749447345733643
95th percentile: 2.314209985733032
99th percentile: 2.4256221866607666
mean time: 1.8190163135528565
Pipeline stage StressChecker completed in 11.15s
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 0.75s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.65s
Shutdown handler de-registered
junhua024-chai-1-full-06_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 5326.54s
Shutdown handler de-registered
junhua024-chai-1-full-06_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-06_v2 status is now torndown due to DeploymentManager action