junhua024-chai-19-full-0022

developer_uid: junhua024
submission_id: junhua024-chai-19-full-0022_v6
model_name: junhua024-chai-19-full-0022_v6
model_group: junhua024/chai_19-full_0
status: torndown
timestamp: 2025-07-23T22:05:29+00:00
num_battles: 6172
num_wins: 2807
celo_rating: 1245.19
family_friendly_score: 0.5532
family_friendly_standard_error: 0.0070309282459715084
submission_type: basic
model_repo: junhua024/chai_19-full_0022
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5274640635409142, 'latency_mean': 1.8957358074188233, 'latency_p50': 1.8982939720153809, 'latency_p90': 2.0582080841064454}, {'batch_size': 2, 'throughput': 0.6946216939149071, 'latency_mean': 2.874739634990692, 'latency_p50': 2.893808960914612, 'latency_p90': 3.090089440345764}, {'batch_size': 3, 'throughput': 0.7948969028247527, 'latency_mean': 3.7656908190250395, 'latency_p50': 3.756986379623413, 'latency_p90': 4.044510316848755}, {'batch_size': 4, 'throughput': 0.8547024796914108, 'latency_mean': 4.658422485589981, 'latency_p50': 4.673474192619324, 'latency_p90': 5.17036280632019}, {'batch_size': 5, 'throughput': 0.8718563636313427, 'latency_mean': 5.703851798772812, 'latency_p50': 5.791827440261841, 'latency_p90': 6.337261414527893}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-19-full-0022_v6
is_internal_developer: False
language_model: junhua024/chai_19-full_0022
model_size: 13B
ranking_group: single
throughput_3p7s: 0.79
us_pacific_date: 2025-07-23
win_ratio: 0.4547958522359041
generation_params: {'temperature': 0.95, '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': 2048, '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-19-full-0022-v6-mkmlizer
Waiting for job on junhua024-chai-19-full-0022-v6-mkmlizer to finish
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junhua024-chai-19-full-0022-v6-mkmlizer: ║                                                                     ║
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junhua024-chai-19-full-0022-v6-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v6-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19-full-0022-v6-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19-full-0022-v6-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19-full-0022-v6-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19-full-0022-v6-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19-full-0022-v6-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19-full-0022-v6-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v6-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19-full-0022-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19-full-0022-v6-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19-full-0022-v6-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-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-19-full-0022-v6-mkmlizer: Downloaded to shared memory in 138.776s
junhua024-chai-19-full-0022-v6-mkmlizer: Checking if junhua024/chai_19-full_0022 already exists in ChaiML
junhua024-chai-19-full-0022-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpqmlx9tb0, device:0
junhua024-chai-19-full-0022-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19-full-0022-v6-mkmlizer: quantized model in 163.712s
junhua024-chai-19-full-0022-v6-mkmlizer: Processed model junhua024/chai_19-full_0022 in 302.569s
junhua024-chai-19-full-0022-v6-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19-full-0022-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19-full-0022-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v6/nvidia
junhua024-chai-19-full-0022-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v6/nvidia/config.json
junhua024-chai-19-full-0022-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v6/nvidia/special_tokens_map.json
junhua024-chai-19-full-0022-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v6/nvidia/tokenizer_config.json
junhua024-chai-19-full-0022-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v6/nvidia/flywheel_model.0.safetensors
junhua024-chai-19-full-0022-v6-mkmlizer: 
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Job junhua024-chai-19-full-0022-v6-mkmlizer completed after 326.27s with status: succeeded
Stopping job with name junhua024-chai-19-full-0022-v6-mkmlizer
Pipeline stage MKMLizer completed in 326.90s
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-19-full-0022-v6
Waiting for inference service junhua024-chai-19-full-0022-v6 to be ready
Inference service junhua024-chai-19-full-0022-v6 ready after 170.78245043754578s
Pipeline stage MKMLDeployer completed in 171.37s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.077965259552002s
Received healthy response to inference request in 2.589141845703125s
Received healthy response to inference request in 1.507615566253662s
Received healthy response to inference request in 2.6589853763580322s
Received healthy response to inference request in 1.965956449508667s
5 requests
0 failed requests
5th percentile: 1.5992837429046631
10th percentile: 1.6909519195556642
20th percentile: 1.874288272857666
30th percentile: 2.0905935287475588
40th percentile: 2.339867687225342
50th percentile: 2.589141845703125
60th percentile: 2.617079257965088
70th percentile: 2.645016670227051
80th percentile: 2.7427813529968263
90th percentile: 2.910373306274414
95th percentile: 2.994169282913208
99th percentile: 3.061206064224243
mean time: 2.3599328994750977
Pipeline stage StressChecker completed in 13.26s
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 0.68s
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-19-full-0022_v6 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-19-full-0022-v6-profiler
Waiting for inference service junhua024-chai-19-full-0022-v6-profiler to be ready
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 3347.74s
Shutdown handler de-registered
junhua024-chai-19-full-0022_v6 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19-full-0022_v6 status is now torndown due to DeploymentManager action