junhua024-chai-12-full-06-161

developer_uid: junhua024
submission_id: junhua024-chai-12-full-06-161_v1
model_name: junhua024-chai-12-full-06-161_v1
model_group: junhua024/chai_12_full_0
status: torndown
timestamp: 2025-07-27T21:15:27+00:00
num_battles: 6611
num_wins: 3141
celo_rating: 1241.95
family_friendly_score: 0.5432
family_friendly_standard_error: 0.007044625753012008
submission_type: basic
model_repo: junhua024/chai_12_full_06_161
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-06-161_v1
is_internal_developer: False
language_model: junhua024/chai_12_full_06_161
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-27
win_ratio: 0.4751172288609893
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-06-161-v1-mkmlizer
Waiting for job on junhua024-chai-12-full-06-161-v1-mkmlizer to finish
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junhua024-chai-12-full-06-161-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-06-161-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-12-full-06-161-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-161-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-06-161-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-06-161-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-06-161-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-06-161-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-161-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-06-161-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-06-161-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-161-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-06-161-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-06-161-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-06-161-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-161-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-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-06-161-v1-mkmlizer: Downloaded to shared memory in 123.644s
junhua024-chai-12-full-06-161-v1-mkmlizer: Checking if junhua024/chai_12_full_06_161 already exists in ChaiML
junhua024-chai-12-full-06-161-v1-mkmlizer: Creating repo ChaiML/chai_12_full_06_161 and uploading /tmp/tmph3tw6mwi to it
junhua024-chai-12-full-06-161-v1-mkmlizer: 
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junhua024-chai-12-full-06-161-v1-mkmlizer: quantized model in 162.510s
junhua024-chai-12-full-06-161-v1-mkmlizer: Processed model junhua024/chai_12_full_06_161 in 356.791s
junhua024-chai-12-full-06-161-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-06-161-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-06-161-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-06-161-v1/nvidia
junhua024-chai-12-full-06-161-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-161-v1/nvidia/config.json
junhua024-chai-12-full-06-161-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-161-v1/nvidia/special_tokens_map.json
junhua024-chai-12-full-06-161-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-161-v1/nvidia/tokenizer_config.json
junhua024-chai-12-full-06-161-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-161-v1/nvidia/tokenizer.json
junhua024-chai-12-full-06-161-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-06-161-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-06-161-v1-mkmlizer completed after 380.94s with status: succeeded
Stopping job with name junhua024-chai-12-full-06-161-v1-mkmlizer
Pipeline stage MKMLizer completed in 381.59s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-12-full-06-161-v1
Waiting for inference service junhua024-chai-12-full-06-161-v1 to be ready
Unable to record family friendly update due to error: HTTPConnectionPool(host='chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x73b99440bb10>, 'Connection to chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
Inference service junhua024-chai-12-full-06-161-v1 ready after 201.43390941619873s
Pipeline stage MKMLDeployer completed in 202.08s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.092611074447632s
Received healthy response to inference request in 1.9857606887817383s
Received healthy response to inference request in 1.2958636283874512s
Received healthy response to inference request in 1.1464028358459473s
Received healthy response to inference request in 3.3511228561401367s
5 requests
0 failed requests
5th percentile: 1.176294994354248
10th percentile: 1.2061871528625487
20th percentile: 1.2659714698791504
30th percentile: 1.4338430404663085
40th percentile: 1.7098018646240236
50th percentile: 1.9857606887817383
60th percentile: 2.4285008430480954
70th percentile: 2.871240997314453
80th percentile: 3.144313430786133
90th percentile: 3.2477181434631346
95th percentile: 3.2994204998016357
99th percentile: 3.3407823848724365
mean time: 2.174352216720581
Pipeline stage StressChecker completed in 12.62s
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 0.73s
Shutdown handler de-registered
junhua024-chai-12-full-06-161_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 3449.35s
Shutdown handler de-registered
junhua024-chai-12-full-06-161_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-06-161_v1 status is now torndown due to DeploymentManager action