junhua024-chai-19nn456

developer_uid: junhua024
submission_id: junhua024-chai-19nn456_v1
model_name: junhua024-chai-19nn456_v1
model_group: junhua024/chai_19nn456
status: torndown
timestamp: 2025-07-28T22:30:20+00:00
num_battles: 6349
num_wins: 3224
celo_rating: 1273.3
family_friendly_score: 0.5162
family_friendly_standard_error: 0.0070673553752446895
submission_type: basic
model_repo: junhua024/chai_19nn456
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
display_name: junhua024-chai-19nn456_v1
is_internal_developer: False
language_model: junhua024/chai_19nn456
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5077965033863601
generation_params: {'temperature': 1.0, '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': 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-19nn456-v1-mkmlizer
Waiting for job on junhua024-chai-19nn456-v1-mkmlizer to finish
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junhua024-chai-19nn456-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-19nn456-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn456-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19nn456-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19nn456-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19nn456-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19nn456-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn456-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19nn456-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19nn456-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn456-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19nn456-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19nn456-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19nn456-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn456-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-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-19nn456-v1-mkmlizer: Downloaded to shared memory in 142.715s
junhua024-chai-19nn456-v1-mkmlizer: Checking if junhua024/chai_19nn456 already exists in ChaiML
junhua024-chai-19nn456-v1-mkmlizer: Creating repo ChaiML/chai_19nn456 and uploading /tmp/tmp1l46pe77 to it
junhua024-chai-19nn456-v1-mkmlizer: 
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junhua024-chai-19nn456-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp1l46pe77, device:0
junhua024-chai-19nn456-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19nn456-v1-mkmlizer: quantized model in 158.014s
junhua024-chai-19nn456-v1-mkmlizer: Processed model junhua024/chai_19nn456 in 373.958s
junhua024-chai-19nn456-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19nn456-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19nn456-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19nn456-v1/nvidia
junhua024-chai-19nn456-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19nn456-v1/nvidia/special_tokens_map.json
junhua024-chai-19nn456-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19nn456-v1/nvidia/config.json
junhua024-chai-19nn456-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19nn456-v1/nvidia/tokenizer_config.json
junhua024-chai-19nn456-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19nn456-v1/nvidia/tokenizer.json
junhua024-chai-19nn456-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19nn456-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-19nn456-v1-mkmlizer: 
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Job junhua024-chai-19nn456-v1-mkmlizer completed after 397.94s with status: succeeded
Stopping job with name junhua024-chai-19nn456-v1-mkmlizer
Pipeline stage MKMLizer completed in 398.42s
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-19nn456-v1
Waiting for inference service junhua024-chai-19nn456-v1 to be ready
Inference service junhua024-chai-19nn456-v1 ready after 231.13857436180115s
Pipeline stage MKMLDeployer completed in 231.69s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7404439449310303s
Received healthy response to inference request in 1.7601313591003418s
Received healthy response to inference request in 1.7751646041870117s
Received healthy response to inference request in 1.5509850978851318s
Received healthy response to inference request in 1.7530405521392822s
5 requests
0 failed requests
5th percentile: 1.591396188735962
10th percentile: 1.631807279586792
20th percentile: 1.712629461288452
30th percentile: 1.7544587135314942
40th percentile: 1.7572950363159179
50th percentile: 1.7601313591003418
60th percentile: 1.7661446571350097
70th percentile: 1.7721579551696778
80th percentile: 1.9682204723358157
90th percentile: 2.354332208633423
95th percentile: 2.5473880767822266
99th percentile: 2.7018327713012695
mean time: 1.9159531116485595
Pipeline stage StressChecker completed in 10.94s
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 0.91s
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-19nn456_v1 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 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-19nn456-v1-profiler
Waiting for inference service junhua024-chai-19nn456-v1-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5657.22s
Shutdown handler de-registered
junhua024-chai-19nn456_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19nn456_v1 status is now torndown due to DeploymentManager action