junhua024-chai-1-full_94469

developer_uid: junhua024

submission_id: junhua024-chai-1-full_94469_v109

model_name: junhua024-chai-1-full_94469_v109

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-16T09:30:41+00:00

num_battles: 11212

num_wins: 5330

celo_rating: 1275.42

family_friendly_score: 0.5626

family_friendly_standard_error: 0.0070154292812343285

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': 0.5992022767110446, 'latency_mean': 1.6686984813213348, 'latency_p50': 1.674020767211914, 'latency_p90': 1.8371667623519898}, {'batch_size': 3, 'throughput': 1.0807354989274394, 'latency_mean': 2.7696644508838655, 'latency_p50': 2.7804641723632812, 'latency_p90': 3.0436763763427734}, {'batch_size': 5, 'throughput': 1.3108108473842914, 'latency_mean': 3.7941347444057465, 'latency_p50': 3.7899104356765747, 'latency_p90': 4.213300800323486}, {'batch_size': 6, 'throughput': 1.3642556890238215, 'latency_mean': 4.379867531061173, 'latency_p50': 4.369016170501709, 'latency_p90': 4.930169987678528}, {'batch_size': 8, 'throughput': 1.4293050346813756, 'latency_mean': 5.548239138126373, 'latency_p50': 5.563371300697327, 'latency_p90': 6.195104098320007}, {'batch_size': 10, 'throughput': 1.4543827207444457, 'latency_mean': 6.815080460309982, 'latency_p50': 6.835413336753845, 'latency_p90': 7.791316056251525}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full_94469_v109

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.3

us_pacific_date: 2025-07-16

win_ratio: 0.47538351765965037

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', '<|im_start|>', '###', '</s>', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': '<|system|>{bot_name}memory: {memory}\n', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', 'truncate_by_message': True}

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-94469-v109-mkmlizer
Waiting for job on junhua024-chai-1-full-94469-v109-mkmlizer to finish
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junhua024-chai-1-full-94469-v109-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-94469-v109-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-94469-v109-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v109-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-94469-v109-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-94469-v109-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-94469-v109-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-94469-v109-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v109-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-94469-v109-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-94469-v109-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v109-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-94469-v109-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-94469-v109-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-94469-v109-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v109-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-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-94469-v109-mkmlizer: Downloaded to shared memory in 74.418s
junhua024-chai-1-full-94469-v109-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-94469-v109-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp9gsk7nnn, device:0
junhua024-chai-1-full-94469-v109-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-94469-v109-mkmlizer: quantized model in 31.897s
junhua024-chai-1-full-94469-v109-mkmlizer: Processed model junhua024/chai-1-full-066126 in 106.400s
junhua024-chai-1-full-94469-v109-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-94469-v109-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-94469-v109-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v109/nvidia
junhua024-chai-1-full-94469-v109-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v109/nvidia/config.json
junhua024-chai-1-full-94469-v109-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v109/nvidia/special_tokens_map.json
junhua024-chai-1-full-94469-v109-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v109/nvidia/tokenizer_config.json
junhua024-chai-1-full-94469-v109-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v109/nvidia/tokenizer.json
junhua024-chai-1-full-94469-v109-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v109/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-94469-v109-mkmlizer: 
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Job junhua024-chai-1-full-94469-v109-mkmlizer completed after 130.11s with status: succeeded
Stopping job with name junhua024-chai-1-full-94469-v109-mkmlizer
Pipeline stage MKMLizer completed in 130.74s
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-1-full-94469-v109
Waiting for inference service junhua024-chai-1-full-94469-v109 to be ready
Retrying (%r) after connection broken by '%r': %s
Retrying (%r) after connection broken by '%r': %s
Inference service junhua024-chai-1-full-94469-v109 ready after 271.5789563655853s
Pipeline stage MKMLDeployer completed in 272.74s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.758436441421509s
Received healthy response to inference request in 1.7430307865142822s
Received healthy response to inference request in 1.6084709167480469s
Received healthy response to inference request in 1.678764820098877s
Received healthy response to inference request in 1.6845333576202393s
5 requests
0 failed requests
5th percentile: 1.6225296974182128
10th percentile: 1.6365884780883788
20th percentile: 1.664706039428711
30th percentile: 1.6799185276031494
40th percentile: 1.6822259426116943
50th percentile: 1.6845333576202393
60th percentile: 1.7079323291778565
70th percentile: 1.7313313007354736
80th percentile: 1.9461119174957278
90th percentile: 2.352274179458618
95th percentile: 2.5553553104400635
99th percentile: 2.7178202152252195
mean time: 1.8946472644805907
Pipeline stage StressChecker completed in 11.33s
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 0.73s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v109 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 4226.61s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v109 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full_94469_v109 status is now torndown due to DeploymentManager action
junhua024-chai-1-full_94469_v109 status is now torndown due to DeploymentManager action