junhua024-chai-12-full-22-11

developer_uid: junhua024
submission_id: junhua024-chai-12-full-22-11_v2
model_name: junhua024-chai-12-full-22-11_v2
model_group: junhua024/chai_12_full_2
status: torndown
timestamp: 2025-07-29T11:39:57+00:00
num_battles: 7594
num_wins: 4086
celo_rating: 1290.37
family_friendly_score: 0.5302
family_friendly_standard_error: 0.007058157833315999
submission_type: basic
model_repo: junhua024/chai_12_full_22_11
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-22-11_v2
is_internal_developer: False
language_model: junhua024/chai_12_full_22_11
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-29
win_ratio: 0.538056360284435
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-22-11-v2-mkmlizer
Waiting for job on junhua024-chai-12-full-22-11-v2-mkmlizer to finish
junhua024-chai-12-full-22-11-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-12-full-22-11-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-22-11-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-12-full-22-11-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-11-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-22-11-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-22-11-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-22-11-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-22-11-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-11-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-22-11-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-22-11-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-11-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-22-11-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-22-11-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-22-11-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-11-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-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-22-11-v2-mkmlizer: Downloaded to shared memory in 122.114s
junhua024-chai-12-full-22-11-v2-mkmlizer: Checking if junhua024/chai_12_full_22_11 already exists in ChaiML
junhua024-chai-12-full-22-11-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpc67bzoql, device:0
junhua024-chai-12-full-22-11-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-22-11-v2-mkmlizer: quantized model in 164.479s
junhua024-chai-12-full-22-11-v2-mkmlizer: Processed model junhua024/chai_12_full_22_11 in 286.673s
junhua024-chai-12-full-22-11-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-22-11-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-22-11-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-22-11-v2/nvidia
junhua024-chai-12-full-22-11-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-11-v2/nvidia/config.json
junhua024-chai-12-full-22-11-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-11-v2/nvidia/special_tokens_map.json
junhua024-chai-12-full-22-11-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-11-v2/nvidia/tokenizer_config.json
junhua024-chai-12-full-22-11-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-11-v2/nvidia/tokenizer.json
junhua024-chai-12-full-22-11-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-22-11-v2/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-22-11-v2-mkmlizer completed after 315.24s with status: succeeded
Stopping job with name junhua024-chai-12-full-22-11-v2-mkmlizer
Pipeline stage MKMLizer completed in 315.76s
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-22-11-v2
Waiting for inference service junhua024-chai-12-full-22-11-v2 to be ready
Inference service junhua024-chai-12-full-22-11-v2 ready after 251.81769680976868s
Pipeline stage MKMLDeployer completed in 252.78s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.910569190979004s
Received healthy response to inference request in 2.522831678390503s
Received healthy response to inference request in 1.9033565521240234s
Received healthy response to inference request in 1.566441297531128s
Received healthy response to inference request in 1.7893013954162598s
5 requests
0 failed requests
5th percentile: 1.6110133171081542
10th percentile: 1.6555853366851807
20th percentile: 1.7447293758392335
30th percentile: 1.8121124267578126
40th percentile: 1.857734489440918
50th percentile: 1.9033565521240234
60th percentile: 1.9062416076660156
70th percentile: 1.9091266632080077
80th percentile: 2.0330216884613037
90th percentile: 2.2779266834259033
95th percentile: 2.400379180908203
99th percentile: 2.498341178894043
mean time: 1.9385000228881837
Pipeline stage StressChecker completed in 11.40s
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 0.85s
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 0.80s
Shutdown handler de-registered
junhua024-chai-12-full-22-11_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 6392.67s
Shutdown handler de-registered
junhua024-chai-12-full-22-11_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-22-11_v2 status is now torndown due to DeploymentManager action