junhua024-chai-12-full-06-01

developer_uid: junhua024
submission_id: junhua024-chai-12-full-06-01_v2
model_name: junhua024-chai-12-full-06-01_v2
model_group: junhua024/chai_12_full_0
status: torndown
timestamp: 2025-07-27T07:39:05+00:00
num_battles: 5440
num_wins: 1847
celo_rating: 1129.83
family_friendly_score: 0.7454000000000001
family_friendly_standard_error: 0.0061608252693937035
submission_type: basic
model_repo: junhua024/chai_12_full_06_01
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-06-01_v2
is_internal_developer: False
language_model: junhua024/chai_12_full_06_01
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-27
win_ratio: 0.3395220588235294
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-06-01-v2-mkmlizer
Waiting for job on junhua024-chai-12-full-06-01-v2-mkmlizer to finish
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junhua024-chai-12-full-06-01-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-06-01-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-12-full-06-01-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-01-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-06-01-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-06-01-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-06-01-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-06-01-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-01-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-06-01-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-06-01-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-01-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-06-01-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-06-01-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-06-01-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-01-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-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-06-01-v2-mkmlizer: Downloaded to shared memory in 110.792s
junhua024-chai-12-full-06-01-v2-mkmlizer: Checking if junhua024/chai_12_full_06_01 already exists in ChaiML
junhua024-chai-12-full-06-01-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp0j988cfy, device:0
junhua024-chai-12-full-06-01-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-06-01-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-06-01-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-06-01-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-06-01-v2/nvidia
junhua024-chai-12-full-06-01-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-01-v2/nvidia/special_tokens_map.json
junhua024-chai-12-full-06-01-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-01-v2/nvidia/config.json
junhua024-chai-12-full-06-01-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-01-v2/nvidia/tokenizer_config.json
junhua024-chai-12-full-06-01-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-01-v2/nvidia/tokenizer.json
junhua024-chai-12-full-06-01-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-06-01-v2/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-06-01-v2-mkmlizer completed after 303.81s with status: succeeded
Stopping job with name junhua024-chai-12-full-06-01-v2-mkmlizer
Pipeline stage MKMLizer completed in 304.31s
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-06-01-v2
Waiting for inference service junhua024-chai-12-full-06-01-v2 to be ready
Failed to get response for submission chaiml-gy-exp236-sft-gy_30367_v1: HTTPConnectionPool(host='chaiml-gy-exp236-sft-gy-30367-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-12-full-06-01-v2 ready after 190.94588541984558s
Pipeline stage MKMLDeployer completed in 191.78s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.4523849487304688s
Received healthy response to inference request in 0.42233920097351074s
Received healthy response to inference request in 0.40983080863952637s
Received healthy response to inference request in 1.799537181854248s
Received healthy response to inference request in 0.45834803581237793s
5 requests
0 failed requests
5th percentile: 0.41233248710632325
10th percentile: 0.41483416557312014
20th percentile: 0.41983752250671386
30th percentile: 0.42954096794128416
40th percentile: 0.44394450187683104
50th percentile: 0.45834803581237793
60th percentile: 0.8559628009796142
70th percentile: 1.2535775661468505
80th percentile: 1.5218153953552247
90th percentile: 1.6606762886047364
95th percentile: 1.730106735229492
99th percentile: 1.7856510925292968
mean time: 0.9084880352020264
Pipeline stage StressChecker completed in 6.08s
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 0.74s
Shutdown handler de-registered
junhua024-chai-12-full-06-01_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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2580.76s
Shutdown handler de-registered
junhua024-chai-12-full-06-01_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-06-01_v2 status is now torndown due to DeploymentManager action