junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v94

model_name: junhua024-chai-1-full-066126_v94

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-16T03:32:20+00:00

num_battles: 9070

num_wins: 4420

celo_rating: 1279.85

family_friendly_score: 0.5466

family_friendly_standard_error: 0.007040290334922275

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': 0.5979888190839583, 'latency_mean': 1.672171527147293, 'latency_p50': 1.6792510747909546, 'latency_p90': 1.8285531044006347}, {'batch_size': 3, 'throughput': 1.0799776585451388, 'latency_mean': 2.7649799180030823, 'latency_p50': 2.7595263719558716, 'latency_p90': 3.072593283653259}, {'batch_size': 5, 'throughput': 1.296124532013289, 'latency_mean': 3.8292651450634003, 'latency_p50': 3.846045136451721, 'latency_p90': 4.191594433784485}, {'batch_size': 6, 'throughput': 1.3615230344471216, 'latency_mean': 4.385412367582322, 'latency_p50': 4.38785707950592, 'latency_p90': 4.846960258483887}, {'batch_size': 8, 'throughput': 1.4391824608696155, 'latency_mean': 5.532956277132034, 'latency_p50': 5.539352297782898, 'latency_p90': 6.281536936759949}, {'batch_size': 10, 'throughput': 1.4615759394171688, 'latency_mean': 6.7751043820381165, 'latency_p50': 6.78854763507843, 'latency_p90': 7.602424573898316}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v94

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.29

us_pacific_date: 2025-07-15

win_ratio: 0.48732083792723263

generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 10, 'presence_penalty': 0.0, 'frequency_penalty': 0.4, '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-v94-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v94-mkmlizer to finish
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junhua024-chai-1-full-066126-v94-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v94-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v94-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v94-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v94-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v94-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v94-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v94-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v94-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v94-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v94-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v94-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v94-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v94-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v94-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v94-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-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-v94-mkmlizer: Downloaded to shared memory in 77.293s
junhua024-chai-1-full-066126-v94-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v94-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp808kj1vm, device:0
junhua024-chai-1-full-066126-v94-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v94-mkmlizer: quantized model in 31.798s
junhua024-chai-1-full-066126-v94-mkmlizer: Processed model junhua024/chai-1-full-066126 in 109.179s
junhua024-chai-1-full-066126-v94-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v94-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v94/nvidia
junhua024-chai-1-full-066126-v94-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v94/nvidia/config.json
junhua024-chai-1-full-066126-v94-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v94/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v94-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v94/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v94-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v94/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v94-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v94/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v94-mkmlizer: 
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Job junhua024-chai-1-full-066126-v94-mkmlizer completed after 138.81s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v94-mkmlizer
Pipeline stage MKMLizer completed in 139.35s
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-v94
Waiting for inference service junhua024-chai-1-full-066126-v94 to be ready
Inference service junhua024-chai-1-full-066126-v94 ready after 271.20491099357605s
Pipeline stage MKMLDeployer completed in 271.81s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.367464065551758s
Received healthy response to inference request in 1.5897462368011475s
Received healthy response to inference request in 1.5032227039337158s
Received healthy response to inference request in 1.5201802253723145s
Received healthy response to inference request in 1.5624961853027344s
5 requests
0 failed requests
5th percentile: 1.5066142082214355
10th percentile: 1.5100057125091553
20th percentile: 1.5167887210845947
30th percentile: 1.5286434173583985
40th percentile: 1.5455698013305663
50th percentile: 1.5624961853027344
60th percentile: 1.5733962059020996
70th percentile: 1.5842962265014648
80th percentile: 1.7452898025512698
90th percentile: 2.0563769340515137
95th percentile: 2.2119204998016357
99th percentile: 2.3363553524017333
mean time: 1.708621883392334
Pipeline stage StressChecker completed in 10.62s
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
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.85s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v94 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 5482.37s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v94 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v94 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v94 status is now torndown due to DeploymentManager action