junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v44

model_name: junhua024-chai-1-full-066126_v44

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-15T05:08:41+00:00

num_battles: 8247

num_wins: 3972

celo_rating: 1276.15

family_friendly_score: 0.5544

family_friendly_standard_error: 0.0070290915486995904

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': 0.5971424772939665, 'latency_mean': 1.6745150899887085, 'latency_p50': 1.663933277130127, 'latency_p90': 1.847309684753418}, {'batch_size': 3, 'throughput': 1.0832348477395142, 'latency_mean': 2.7600038981437685, 'latency_p50': 2.759767532348633, 'latency_p90': 3.0104520320892334}, {'batch_size': 5, 'throughput': 1.2899411998596384, 'latency_mean': 3.8683198320865633, 'latency_p50': 3.939630150794983, 'latency_p90': 4.316840672492981}, {'batch_size': 6, 'throughput': 1.3669591871149298, 'latency_mean': 4.378859298229218, 'latency_p50': 4.371746301651001, 'latency_p90': 4.950775861740112}, {'batch_size': 8, 'throughput': 1.4164734854842052, 'latency_mean': 5.609653310775757, 'latency_p50': 5.6122214794158936, 'latency_p90': 6.261986970901489}, {'batch_size': 10, 'throughput': 1.4538530932504448, 'latency_mean': 6.82121077299118, 'latency_p50': 6.883591294288635, 'latency_p90': 7.660840463638306}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v44

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.27

us_pacific_date: 2025-07-14

win_ratio: 0.48162968352128044

generation_params: {'temperature': 1.0, 'top_p': 0.86, '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-1-full-066126-v44-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v44-mkmlizer to finish
junhua024-chai-1-full-066126-v44-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v44-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v44-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v44-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-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-v44-mkmlizer: Downloaded to shared memory in 78.726s
junhua024-chai-1-full-066126-v44-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v44-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpy83cn4ok, device:0
junhua024-chai-1-full-066126-v44-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v44-mkmlizer: quantized model in 32.181s
junhua024-chai-1-full-066126-v44-mkmlizer: Processed model junhua024/chai-1-full-066126 in 111.033s
junhua024-chai-1-full-066126-v44-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v44-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v44-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v44/nvidia
junhua024-chai-1-full-066126-v44-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v44/nvidia/config.json
junhua024-chai-1-full-066126-v44-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v44/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v44-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v44/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v44-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v44/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v44-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:22, 16.15it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:19, 18.55it/s]
Loading 0:   3%|▎         | 11/363 [00:00<00:10, 33.75it/s]
Loading 0:   4%|▍         | 15/363 [00:00<00:09, 35.70it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:12, 27.89it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:12, 27.52it/s]
Loading 0:   8%|▊         | 29/363 [00:00<00:09, 35.33it/s]
Loading 0:   9%|▉         | 34/363 [00:01<00:09, 33.75it/s]
Loading 0:  10%|█         | 38/363 [00:01<00:09, 33.87it/s]
Loading 0:  12%|█▏        | 42/363 [00:01<00:09, 32.25it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:07, 41.15it/s]
Loading 0:  15%|█▍        | 54/363 [00:01<00:10, 29.44it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:09, 31.89it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:08, 33.57it/s]
Loading 0:  19%|█▉        | 69/363 [00:02<00:09, 31.78it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:08, 35.47it/s]
Loading 0:  21%|██▏       | 78/363 [00:02<00:08, 35.41it/s]
Loading 0:  23%|██▎       | 82/363 [00:02<00:09, 30.33it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:08, 32.22it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:08, 32.37it/s]
Loading 0:  27%|██▋       | 97/363 [00:03<00:08, 32.99it/s]
Loading 0:  28%|██▊       | 101/363 [00:03<00:07, 32.93it/s]
Loading 0:  29%|██▉       | 105/363 [00:03<00:08, 30.89it/s]
Loading 0:  31%|███       | 112/363 [00:03<00:06, 39.34it/s]
Loading 0:  32%|███▏      | 117/363 [00:03<00:08, 28.89it/s]
Loading 0:  34%|███▎      | 122/363 [00:03<00:07, 30.79it/s]
Loading 0:  35%|███▌      | 128/363 [00:03<00:07, 31.97it/s]
Loading 0:  36%|███▋      | 132/363 [00:04<00:07, 31.69it/s]
Loading 0:  38%|███▊      | 137/363 [00:04<00:06, 35.10it/s]
Loading 0:  39%|███▉      | 141/363 [00:04<00:06, 35.64it/s]
Loading 0:  40%|███▉      | 145/363 [00:04<00:07, 31.11it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:07, 30.40it/s]
Loading 0:  43%|████▎     | 155/363 [00:04<00:05, 36.67it/s]
Loading 0:  44%|████▍     | 160/363 [00:04<00:05, 35.47it/s]
Loading 0:  45%|████▌     | 164/363 [00:05<00:05, 34.27it/s]
Loading 0:  46%|████▋     | 168/363 [00:05<00:06, 31.91it/s]
Loading 0:  48%|████▊     | 176/363 [00:05<00:04, 38.17it/s]
Loading 0:  50%|████▉     | 180/363 [00:05<00:05, 30.59it/s]
Loading 0:  51%|█████     | 185/363 [00:05<00:05, 32.94it/s]
Loading 0:  53%|█████▎    | 191/363 [00:05<00:05, 34.37it/s]
Loading 0:  54%|█████▎    | 195/363 [00:05<00:05, 33.42it/s]
Loading 0:  55%|█████▌    | 201/363 [00:06<00:04, 33.44it/s]
Loading 0:  57%|█████▋    | 206/363 [00:06<00:04, 32.50it/s]
Loading 0:  58%|█████▊    | 212/363 [00:06<00:04, 34.01it/s]
Loading 0:  60%|██████    | 219/363 [00:06<00:03, 41.46it/s]
Loading 0:  62%|██████▏   | 224/363 [00:06<00:03, 36.01it/s]
Loading 0:  63%|██████▎   | 228/363 [00:06<00:03, 35.37it/s]
Loading 0:  64%|██████▍   | 232/363 [00:06<00:03, 34.70it/s]
Loading 0:  66%|██████▌   | 239/363 [00:07<00:03, 38.20it/s]
Loading 0:  67%|██████▋   | 243/363 [00:07<00:03, 30.79it/s]
Loading 0:  68%|██████▊   | 248/363 [00:07<00:03, 33.00it/s]
Loading 0:  70%|██████▉   | 254/363 [00:07<00:03, 34.86it/s]
Loading 0:  71%|███████   | 258/363 [00:07<00:03, 34.05it/s]
Loading 0:  73%|███████▎  | 264/363 [00:07<00:02, 34.33it/s]
Loading 0:  74%|███████▍  | 269/363 [00:08<00:02, 33.88it/s]
Loading 0:  76%|███████▌  | 275/363 [00:08<00:02, 34.58it/s]
Loading 0:  77%|███████▋  | 281/363 [00:08<00:02, 39.11it/s]
Loading 0:  79%|███████▉  | 286/363 [00:08<00:02, 37.31it/s]
Loading 0:  80%|███████▉  | 290/363 [00:08<00:01, 36.76it/s]
Loading 0:  81%|████████  | 294/363 [00:08<00:02, 34.26it/s]
Loading 0:  83%|████████▎ | 302/363 [00:08<00:01, 39.94it/s]
Loading 0:  84%|████████▍ | 306/363 [00:09<00:01, 32.40it/s]
Loading 0:  86%|████████▌ | 311/363 [00:09<00:01, 34.12it/s]
Loading 0:  87%|████████▋ | 317/363 [00:09<00:01, 35.59it/s]
Loading 0:  88%|████████▊ | 321/363 [00:09<00:01, 34.45it/s]
Loading 0:  90%|████████▉ | 326/363 [00:09<00:00, 38.00it/s]
Loading 0:  91%|█████████ | 330/363 [00:09<00:00, 37.65it/s]
Loading 0:  92%|█████████▏| 334/363 [00:09<00:00, 33.05it/s]
Loading 0:  93%|█████████▎| 338/363 [00:10<00:00, 31.71it/s]
Loading 0:  95%|█████████▍| 344/363 [00:10<00:00, 37.79it/s]
Loading 0:  96%|█████████▌| 349/363 [00:10<00:00, 24.20it/s]
Loading 0:  97%|█████████▋| 353/363 [00:10<00:00, 22.77it/s]
Loading 0:  98%|█████████▊| 357/363 [00:10<00:00, 24.65it/s]
                                                            
Job junhua024-chai-1-full-066126-v44-mkmlizer completed after 137.93s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v44-mkmlizer
Pipeline stage MKMLizer completed in 138.76s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v44
Waiting for inference service junhua024-chai-1-full-066126-v44 to be ready
Inference service junhua024-chai-1-full-066126-v44 ready after 231.06986546516418s
Pipeline stage MKMLDeployer completed in 231.94s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5418574810028076s
Received healthy response to inference request in 2.1560606956481934s
Received healthy response to inference request in 1.5542092323303223s
Received healthy response to inference request in 1.884514331817627s
Received healthy response to inference request in 1.8359408378601074s
5 requests
0 failed requests
5th percentile: 1.6105555534362792
10th percentile: 1.6669018745422364
20th percentile: 1.7795945167541505
30th percentile: 1.8456555366516114
40th percentile: 1.8650849342346192
50th percentile: 1.884514331817627
60th percentile: 1.9931328773498536
70th percentile: 2.10175142288208
80th percentile: 2.2332200527191164
90th percentile: 2.387538766860962
95th percentile: 2.4646981239318846
99th percentile: 2.526425609588623
mean time: 1.9945165157318114
Pipeline stage StressChecker completed in 11.76s
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 1.05s
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-1-full-066126_v44 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 3659.93s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v44 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v44 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v44 status is now torndown due to DeploymentManager action