junhua024-chai-12-full-06-162

developer_uid: junhua024
submission_id: junhua024-chai-12-full-06-162_v2
model_name: junhua024-chai-12-full-06-162_v2
model_group: junhua024/chai_12_full_0
status: torndown
timestamp: 2025-07-27T21:42:17+00:00
num_battles: 8061
num_wins: 4353
celo_rating: 1286.31
family_friendly_score: 0.46299999999999997
family_friendly_standard_error: 0.007051680650738517
submission_type: basic
model_repo: junhua024/chai_12_full_06_162
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-06-162_v2
is_internal_developer: False
language_model: junhua024/chai_12_full_06_162
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-27
win_ratio: 0.540007443245255
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, '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': "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-06-162-v2-mkmlizer
Waiting for job on junhua024-chai-12-full-06-162-v2-mkmlizer to finish
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junhua024-chai-12-full-06-162-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-06-162-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-12-full-06-162-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-162-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-06-162-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-06-162-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-06-162-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-06-162-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-162-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-06-162-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-06-162-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-162-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-06-162-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-06-162-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-06-162-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-162-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-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-06-162-v2-mkmlizer: Downloaded to shared memory in 98.763s
junhua024-chai-12-full-06-162-v2-mkmlizer: Checking if junhua024/chai_12_full_06_162 already exists in ChaiML
junhua024-chai-12-full-06-162-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpm286z9iw, device:0
junhua024-chai-12-full-06-162-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-06-162-v2-mkmlizer: quantized model in 186.487s
junhua024-chai-12-full-06-162-v2-mkmlizer: Processed model junhua024/chai_12_full_06_162 in 285.297s
junhua024-chai-12-full-06-162-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-06-162-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-06-162-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-06-162-v2/nvidia
junhua024-chai-12-full-06-162-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-162-v2/nvidia/tokenizer_config.json
junhua024-chai-12-full-06-162-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-162-v2/nvidia/config.json
junhua024-chai-12-full-06-162-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-162-v2/nvidia/special_tokens_map.json
junhua024-chai-12-full-06-162-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-162-v2/nvidia/tokenizer.json
junhua024-chai-12-full-06-162-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-06-162-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-12-full-06-162-v2-mkmlizer: 
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Job junhua024-chai-12-full-06-162-v2-mkmlizer completed after 312.59s with status: succeeded
Stopping job with name junhua024-chai-12-full-06-162-v2-mkmlizer
Pipeline stage MKMLizer completed in 313.44s
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-06-162-v2
Waiting for inference service junhua024-chai-12-full-06-162-v2 to be ready
Inference service junhua024-chai-12-full-06-162-v2 ready after 200.732435464859s
Pipeline stage MKMLDeployer completed in 201.33s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.917418956756592s
Received healthy response to inference request in 1.8699352741241455s
Received healthy response to inference request in 3.2122411727905273s
Received healthy response to inference request in 3.0388894081115723s
Received healthy response to inference request in 3.2082931995391846s
5 requests
0 failed requests
5th percentile: 2.103726100921631
10th percentile: 2.337516927719116
20th percentile: 2.8050985813140867
30th percentile: 3.0727701663970945
40th percentile: 3.1405316829681396
50th percentile: 3.2082931995391846
60th percentile: 3.2098723888397216
70th percentile: 3.2114515781402586
80th percentile: 3.3532767295837402
90th percentile: 3.635347843170166
95th percentile: 3.776383399963379
99th percentile: 3.8892118453979494
mean time: 3.0493556022644044
Pipeline stage StressChecker completed in 16.81s
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
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.94s
Shutdown handler de-registered
junhua024-chai-12-full-06-162_v2 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 5177.85s
Shutdown handler de-registered
junhua024-chai-12-full-06-162_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-06-162_v2 status is now torndown due to DeploymentManager action