junhua024-chai-12-full-06-16

developer_uid: junhua024
submission_id: junhua024-chai-12-full-06-16_v3
model_name: junhua024-chai-12-full-06-16_v3
model_group: junhua024/chai_12_full_0
status: torndown
timestamp: 2025-07-27T21:47:35+00:00
num_battles: 8442
num_wins: 3624
celo_rating: 1206.18
family_friendly_score: 0.6186
family_friendly_standard_error: 0.006869265462915231
submission_type: basic
model_repo: junhua024/chai_12_full_06_16
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-06-16_v3
is_internal_developer: False
language_model: junhua024/chai_12_full_06_16
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-27
win_ratio: 0.4292821606254442
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-06-16-v3-mkmlizer
Waiting for job on junhua024-chai-12-full-06-16-v3-mkmlizer to finish
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junhua024-chai-12-full-06-16-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-06-16-v3-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-16-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-06-16-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-06-16-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-06-16-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-06-16-v3-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-16-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-06-16-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-06-16-v3-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-16-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-06-16-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-06-16-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-06-16-v3-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-16-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-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-06-16-v3-mkmlizer: Downloaded to shared memory in 98.380s
junhua024-chai-12-full-06-16-v3-mkmlizer: Checking if junhua024/chai_12_full_06_16 already exists in ChaiML
junhua024-chai-12-full-06-16-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp8lcwha72, device:0
junhua024-chai-12-full-06-16-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-06-16-v3-mkmlizer: quantized model in 186.684s
junhua024-chai-12-full-06-16-v3-mkmlizer: Processed model junhua024/chai_12_full_06_16 in 285.136s
junhua024-chai-12-full-06-16-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-06-16-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-06-16-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-06-16-v3/nvidia
junhua024-chai-12-full-06-16-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-16-v3/nvidia/config.json
junhua024-chai-12-full-06-16-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-16-v3/nvidia/special_tokens_map.json
junhua024-chai-12-full-06-16-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-16-v3/nvidia/tokenizer_config.json
junhua024-chai-12-full-06-16-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-16-v3/nvidia/tokenizer.json
junhua024-chai-12-full-06-16-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-06-16-v3/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-06-16-v3-mkmlizer completed after 323.81s with status: succeeded
Stopping job with name junhua024-chai-12-full-06-16-v3-mkmlizer
Pipeline stage MKMLizer completed in 324.47s
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-12-full-06-16-v3
Waiting for inference service junhua024-chai-12-full-06-16-v3 to be ready
Inference service junhua024-chai-12-full-06-16-v3 ready after 200.9353666305542s
Pipeline stage MKMLDeployer completed in 201.50s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.018263339996338s
Received healthy response to inference request in 1.884814977645874s
Received healthy response to inference request in 0.5459003448486328s
Received healthy response to inference request in 0.7979602813720703s
Received healthy response to inference request in 1.1612672805786133s
5 requests
0 failed requests
5th percentile: 0.5963123321533204
10th percentile: 0.6467243194580078
20th percentile: 0.7475482940673828
30th percentile: 0.8706216812133789
40th percentile: 1.015944480895996
50th percentile: 1.1612672805786133
60th percentile: 1.4506863594055175
70th percentile: 1.7401054382324217
80th percentile: 1.9115046501159667
90th percentile: 1.9648839950561523
95th percentile: 1.9915736675262452
99th percentile: 2.0129254055023194
mean time: 1.2816412448883057
Pipeline stage StressChecker completed in 7.94s
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 0.71s
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 0.72s
Shutdown handler de-registered
junhua024-chai-12-full-06-16_v3 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 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-12-full-06-16-v3-profiler
Waiting for inference service junhua024-chai-12-full-06-16-v3-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 5346.53s
Shutdown handler de-registered
junhua024-chai-12-full-06-16_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-06-16_v3 status is now torndown due to DeploymentManager action