junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v67

model_name: junhua024-chai-1-full-066126_v67

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-15T12:59:43+00:00

num_battles: 6748

num_wins: 3476

celo_rating: 1281.79

family_friendly_score: 0.5554

family_friendly_standard_error: 0.007027529295563271

submission_type: basic

model_repo: junhua024/chai-1-full-066126

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': 0.6017474073544429, 'latency_mean': 1.661713353395462, 'latency_p50': 1.6692448854446411, 'latency_p90': 1.8092158794403077}, {'batch_size': 3, 'throughput': 1.065755937757636, 'latency_mean': 2.804347929954529, 'latency_p50': 2.812613010406494, 'latency_p90': 3.0727890014648436}, {'batch_size': 5, 'throughput': 1.2859883936461816, 'latency_mean': 3.8668352222442626, 'latency_p50': 3.880629777908325, 'latency_p90': 4.28370361328125}, {'batch_size': 6, 'throughput': 1.344192614006577, 'latency_mean': 4.4300599598884585, 'latency_p50': 4.406738996505737, 'latency_p90': 4.966503715515136}, {'batch_size': 8, 'throughput': 1.4107386810624367, 'latency_mean': 5.631843361854553, 'latency_p50': 5.65676474571228, 'latency_p90': 6.329616236686706}, {'batch_size': 10, 'throughput': 1.4422895218269935, 'latency_mean': 6.873138606548309, 'latency_p50': 6.874718070030212, 'latency_p90': 7.784232711791992}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v67

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.27

us_pacific_date: 2025-07-15

win_ratio: 0.5151155898043864

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': '{memory} What nuanced feelings lie behind these words?', '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-066126-v67-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v67-mkmlizer to finish
junhua024-chai-1-full-066126-v67-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v67-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v67-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v67-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-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-066126-v67-mkmlizer: Downloaded to shared memory in 74.043s
junhua024-chai-1-full-066126-v67-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v67-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp964ft2wo, device:0
junhua024-chai-1-full-066126-v67-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v67-mkmlizer: quantized model in 32.871s
junhua024-chai-1-full-066126-v67-mkmlizer: Processed model junhua024/chai-1-full-066126 in 106.992s
junhua024-chai-1-full-066126-v67-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v67-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v67-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v67/nvidia
junhua024-chai-1-full-066126-v67-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v67/nvidia/config.json
junhua024-chai-1-full-066126-v67-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v67/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v67-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v67/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v67-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v67/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v67-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v67/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v67-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:26, 13.59it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:21, 16.54it/s]
Loading 0:   3%|▎         | 11/363 [00:00<00:11, 30.67it/s]
Loading 0:   4%|▍         | 15/363 [00:00<00:10, 32.94it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:12, 27.32it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:12, 26.97it/s]
Loading 0:   8%|▊         | 29/363 [00:00<00:09, 33.77it/s]
Loading 0:   9%|▉         | 34/363 [00:01<00:10, 31.91it/s]
Loading 0:  10%|█         | 38/363 [00:01<00:09, 32.70it/s]
Loading 0:  12%|█▏        | 42/363 [00:01<00:10, 30.89it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:07, 39.97it/s]
Loading 0:  15%|█▍        | 54/363 [00:01<00:10, 28.46it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:10, 30.35it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:09, 31.06it/s]
Loading 0:  19%|█▉        | 69/363 [00:02<00:09, 29.85it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:08, 33.16it/s]
Loading 0:  21%|██▏       | 78/363 [00:02<00:08, 33.75it/s]
Loading 0:  23%|██▎       | 82/363 [00:02<00:09, 28.77it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:09, 30.65it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:08, 31.64it/s]
Loading 0:  27%|██▋       | 97/363 [00:03<00:08, 32.40it/s]
Loading 0:  28%|██▊       | 101/363 [00:03<00:08, 32.21it/s]
Loading 0:  29%|██▉       | 105/363 [00:03<00:08, 30.55it/s]
Loading 0:  31%|███       | 112/363 [00:03<00:06, 39.41it/s]
Loading 0:  32%|███▏      | 117/363 [00:03<00:08, 28.19it/s]
Loading 0:  34%|███▎      | 122/363 [00:03<00:08, 30.11it/s]
Loading 0:  35%|███▌      | 128/363 [00:04<00:07, 31.20it/s]
Loading 0:  36%|███▋      | 132/363 [00:04<00:07, 30.81it/s]
Loading 0:  38%|███▊      | 137/363 [00:04<00:06, 34.56it/s]
Loading 0:  39%|███▉      | 141/363 [00:04<00:06, 35.46it/s]
Loading 0:  40%|███▉      | 145/363 [00:04<00:07, 31.02it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:07, 30.36it/s]
Loading 0:  43%|████▎     | 155/363 [00:04<00:05, 36.88it/s]
Loading 0:  44%|████▍     | 160/363 [00:05<00:05, 35.25it/s]
Loading 0:  45%|████▌     | 164/363 [00:05<00:05, 33.98it/s]
Loading 0:  46%|████▋     | 168/363 [00:05<00:06, 31.93it/s]
Loading 0:  48%|████▊     | 176/363 [00:05<00:04, 38.25it/s]
Loading 0:  50%|████▉     | 180/363 [00:05<00:05, 30.60it/s]
Loading 0:  51%|█████     | 185/363 [00:05<00:05, 32.13it/s]
Loading 0:  53%|█████▎    | 191/363 [00:06<00:05, 33.27it/s]
Loading 0:  54%|█████▎    | 195/363 [00:06<00:05, 31.93it/s]
Loading 0:  55%|█████▌    | 200/363 [00:06<00:04, 35.36it/s]
Loading 0:  56%|█████▌    | 204/363 [00:06<00:04, 35.65it/s]
Loading 0:  57%|█████▋    | 208/363 [00:06<00:05, 30.30it/s]
Loading 0:  58%|█████▊    | 212/363 [00:06<00:05, 29.56it/s]
Loading 0:  60%|██████    | 218/363 [00:06<00:04, 35.40it/s]
Loading 0:  61%|██████▏   | 223/363 [00:06<00:04, 33.37it/s]
Loading 0:  63%|██████▎   | 227/363 [00:07<00:04, 32.44it/s]
Loading 0:  64%|██████▎   | 231/363 [00:07<00:04, 30.68it/s]
Loading 0:  66%|██████▌   | 239/363 [00:07<00:03, 36.58it/s]
Loading 0:  67%|██████▋   | 243/363 [00:07<00:03, 30.00it/s]
Loading 0:  68%|██████▊   | 248/363 [00:07<00:03, 31.83it/s]
Loading 0:  70%|██████▉   | 254/363 [00:07<00:03, 33.19it/s]
Loading 0:  71%|███████   | 258/363 [00:08<00:03, 32.26it/s]
Loading 0:  72%|███████▏  | 263/363 [00:08<00:02, 35.84it/s]
Loading 0:  74%|███████▎  | 267/363 [00:08<00:02, 36.33it/s]
Loading 0:  75%|███████▍  | 271/363 [00:08<00:02, 31.39it/s]
Loading 0:  76%|███████▌  | 275/363 [00:08<00:02, 30.46it/s]
Loading 0:  77%|███████▋  | 281/363 [00:08<00:02, 36.97it/s]
Loading 0:  79%|███████▉  | 286/363 [00:08<00:02, 34.45it/s]
Loading 0:  80%|███████▉  | 290/363 [00:08<00:02, 33.99it/s]
Loading 0:  81%|████████  | 294/363 [00:09<00:02, 31.89it/s]
Loading 0:  83%|████████▎ | 301/363 [00:09<00:01, 40.35it/s]
Loading 0:  84%|████████▍ | 306/363 [00:09<00:01, 29.55it/s]
Loading 0:  86%|████████▌ | 311/363 [00:09<00:01, 31.56it/s]
Loading 0:  87%|████████▋ | 317/363 [00:09<00:01, 32.83it/s]
Loading 0:  88%|████████▊ | 321/363 [00:09<00:01, 32.14it/s]
Loading 0:  90%|█████████ | 327/363 [00:10<00:01, 32.48it/s]
Loading 0:  91%|█████████▏| 332/363 [00:10<00:00, 31.01it/s]
Loading 0:  93%|█████████▎| 338/363 [00:10<00:00, 32.55it/s]
Loading 0:  95%|█████████▍| 344/363 [00:10<00:00, 37.52it/s]
Loading 0:  96%|█████████▌| 349/363 [00:10<00:00, 25.76it/s]
Loading 0:  97%|█████████▋| 353/363 [00:11<00:00, 23.63it/s]
Loading 0:  98%|█████████▊| 357/363 [00:11<00:00, 25.02it/s]
                                                            
Job junhua024-chai-1-full-066126-v67-mkmlizer completed after 128.11s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v67-mkmlizer
Pipeline stage MKMLizer completed in 128.70s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v67
Waiting for inference service junhua024-chai-1-full-066126-v67 to be ready
Inference service junhua024-chai-1-full-066126-v67 ready after 241.7611300945282s
Pipeline stage MKMLDeployer completed in 242.51s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5920138359069824s
Received healthy response to inference request in 1.7849509716033936s
Received healthy response to inference request in 2.079552412033081s
Received healthy response to inference request in 1.7311842441558838s
Received healthy response to inference request in 1.7785742282867432s
5 requests
0 failed requests
5th percentile: 1.7406622409820556
10th percentile: 1.7501402378082276
20th percentile: 1.7690962314605714
30th percentile: 1.7798495769500733
40th percentile: 1.7824002742767333
50th percentile: 1.7849509716033936
60th percentile: 1.9027915477752686
70th percentile: 2.0206321239471436
80th percentile: 2.1820446968078615
90th percentile: 2.387029266357422
95th percentile: 2.489521551132202
99th percentile: 2.5715153789520264
mean time: 1.9932551383972168
Pipeline stage StressChecker completed in 11.44s
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 0.72s
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 1.21s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v67 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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3530.23s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v67 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v67 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v67 status is now torndown due to DeploymentManager action