junhua024-chai-12-full-22-6

developer_uid: junhua024
submission_id: junhua024-chai-12-full-22-6_v1
model_name: junhua024-chai-12-full-22-6_v1
model_group: junhua024/chai_12_full_2
status: torndown
timestamp: 2025-07-29T04:18:17+00:00
num_battles: 6070
num_wins: 3256
celo_rating: 1286.87
family_friendly_score: 0.5312
family_friendly_standard_error: 0.007057287864328619
submission_type: basic
model_repo: junhua024/chai_12_full_22_6
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-22-6_v1
is_internal_developer: False
language_model: junhua024/chai_12_full_22_6
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5364085667215815
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-22-6-v1-mkmlizer
Waiting for job on junhua024-chai-12-full-22-6-v1-mkmlizer to finish
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junhua024-chai-12-full-22-6-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-22-6-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-12-full-22-6-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-6-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-22-6-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-22-6-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-22-6-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-22-6-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-6-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-22-6-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-22-6-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-6-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-22-6-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-22-6-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-22-6-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-6-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-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-22-6-v1-mkmlizer: Downloaded to shared memory in 199.375s
junhua024-chai-12-full-22-6-v1-mkmlizer: Checking if junhua024/chai_12_full_22_6 already exists in ChaiML
junhua024-chai-12-full-22-6-v1-mkmlizer: Creating repo ChaiML/chai_12_full_22_6 and uploading /tmp/tmp5m5tsxar to it
junhua024-chai-12-full-22-6-v1-mkmlizer: 
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junhua024-chai-12-full-22-6-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp5m5tsxar, device:0
junhua024-chai-12-full-22-6-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-22-6-v1-mkmlizer: quantized model in 162.002s
junhua024-chai-12-full-22-6-v1-mkmlizer: Processed model junhua024/chai_12_full_22_6 in 447.123s
junhua024-chai-12-full-22-6-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-22-6-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-22-6-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-22-6-v1/nvidia
junhua024-chai-12-full-22-6-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-6-v1/nvidia/config.json
junhua024-chai-12-full-22-6-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-6-v1/nvidia/special_tokens_map.json
junhua024-chai-12-full-22-6-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-6-v1/nvidia/tokenizer_config.json
junhua024-chai-12-full-22-6-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-6-v1/nvidia/tokenizer.json
junhua024-chai-12-full-22-6-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-22-6-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-22-6-v1-mkmlizer completed after 470.33s with status: succeeded
Stopping job with name junhua024-chai-12-full-22-6-v1-mkmlizer
Pipeline stage MKMLizer completed in 471.03s
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-12-full-22-6-v1
Waiting for inference service junhua024-chai-12-full-22-6-v1 to be ready
Inference service junhua024-chai-12-full-22-6-v1 ready after 230.98397827148438s
Pipeline stage MKMLDeployer completed in 231.62s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.993298053741455s
Received healthy response to inference request in 1.9323225021362305s
Received healthy response to inference request in 1.4352827072143555s
Received healthy response to inference request in 2.6689646244049072s
Received healthy response to inference request in 1.6648836135864258s
5 requests
0 failed requests
5th percentile: 1.4812028884887696
10th percentile: 1.5271230697631837
20th percentile: 1.6189634323120117
30th percentile: 1.7183713912963867
40th percentile: 1.8253469467163086
50th percentile: 1.9323225021362305
60th percentile: 2.2269793510437013
70th percentile: 2.5216361999511716
80th percentile: 2.7338313102722167
90th percentile: 2.863564682006836
95th percentile: 2.9284313678741456
99th percentile: 2.9803247165679934
mean time: 2.138950300216675
Pipeline stage StressChecker completed in 12.94s
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 0.70s
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 0.68s
Shutdown handler de-registered
junhua024-chai-12-full-22-6_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 3303.74s
Shutdown handler de-registered
junhua024-chai-12-full-22-6_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-22-6_v1 status is now torndown due to DeploymentManager action