junhua024-chai-12-full-22-14

developer_uid: junhua024
submission_id: junhua024-chai-12-full-22-14_v1
model_name: junhua024-chai-12-full-22-14_v1
model_group: junhua024/chai_12_full_2
status: torndown
timestamp: 2025-07-29T05:37:27+00:00
num_battles: 6091
num_wins: 3385
celo_rating: 1291.44
family_friendly_score: 0.5276000000000001
family_friendly_standard_error: 0.007060286679731922
submission_type: basic
model_repo: junhua024/chai_12_full_22_14
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
display_name: junhua024-chai-12-full-22-14_v1
is_internal_developer: False
language_model: junhua024/chai_12_full_22_14
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5557379740600886
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.1, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity. Each of your responses should be fewer than 64 tokens long.", '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-12-full-22-14-v1-mkmlizer
Waiting for job on junhua024-chai-12-full-22-14-v1-mkmlizer to finish
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junhua024-chai-12-full-22-14-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-22-14-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-12-full-22-14-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-14-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-22-14-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-22-14-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-22-14-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-22-14-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-14-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-22-14-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-22-14-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-14-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-22-14-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-22-14-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-22-14-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-14-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-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-12-full-22-14-v1-mkmlizer: Downloaded to shared memory in 105.294s
junhua024-chai-12-full-22-14-v1-mkmlizer: Checking if junhua024/chai_12_full_22_14 already exists in ChaiML
junhua024-chai-12-full-22-14-v1-mkmlizer: Creating repo ChaiML/chai_12_full_22_14 and uploading /tmp/tmpbyx2sthg to it
junhua024-chai-12-full-22-14-v1-mkmlizer: 
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junhua024-chai-12-full-22-14-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpbyx2sthg, device:0
junhua024-chai-12-full-22-14-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Retrying (%r) after connection broken by '%r': %s
junhua024-chai-12-full-22-14-v1-mkmlizer: quantized model in 160.712s
junhua024-chai-12-full-22-14-v1-mkmlizer: Processed model junhua024/chai_12_full_22_14 in 334.282s
junhua024-chai-12-full-22-14-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-22-14-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-22-14-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-22-14-v1/nvidia
junhua024-chai-12-full-22-14-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-14-v1/nvidia/config.json
junhua024-chai-12-full-22-14-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-14-v1/nvidia/special_tokens_map.json
junhua024-chai-12-full-22-14-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-14-v1/nvidia/tokenizer_config.json
junhua024-chai-12-full-22-14-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-14-v1/nvidia/tokenizer.json
junhua024-chai-12-full-22-14-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-22-14-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-22-14-v1-mkmlizer completed after 365.8s with status: succeeded
Stopping job with name junhua024-chai-12-full-22-14-v1-mkmlizer
Pipeline stage MKMLizer completed in 366.37s
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-12-full-22-14-v1
Waiting for inference service junhua024-chai-12-full-22-14-v1 to be ready
Inference service junhua024-chai-12-full-22-14-v1 ready after 240.9584550857544s
Pipeline stage MKMLDeployer completed in 241.93s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.269757032394409s
Received healthy response to inference request in 1.3885316848754883s
Received healthy response to inference request in 2.416166305541992s
Received healthy response to inference request in 1.5945672988891602s
Received healthy response to inference request in 1.6799185276031494s
5 requests
0 failed requests
5th percentile: 1.4297388076782227
10th percentile: 1.4709459304809571
20th percentile: 1.5533601760864257
30th percentile: 1.611637544631958
40th percentile: 1.6457780361175538
50th percentile: 1.6799185276031494
60th percentile: 1.9158539295196533
70th percentile: 2.151789331436157
80th percentile: 2.299038887023926
90th percentile: 2.357602596282959
95th percentile: 2.3868844509124756
99th percentile: 2.410309934616089
mean time: 1.8697881698608398
Pipeline stage StressChecker completed in 11.29s
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 0.81s
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 0.84s
Shutdown handler de-registered
junhua024-chai-12-full-22-14_v1 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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3029.91s
Shutdown handler de-registered
junhua024-chai-12-full-22-14_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-22-14_v1 status is now torndown due to DeploymentManager action