junhua024-chai-12-full-22-1-1

developer_uid: junhua024
submission_id: junhua024-chai-12-full-22-1-1_v2
model_name: junhua024-chai-12-full-22-1-1_v2
model_group: junhua024/chai_12_full_2
status: torndown
timestamp: 2025-07-29T14:39:46+00:00
num_battles: 8972
num_wins: 4824
celo_rating: 1290.95
family_friendly_score: 0.53
family_friendly_standard_error: 0.007058328414008518
submission_type: basic
model_repo: junhua024/chai_12_full_22_1_1
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-22-1-1_v2
is_internal_developer: False
language_model: junhua024/chai_12_full_22_1_1
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-29
win_ratio: 0.5376727596968346
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-22-1-1-v2-mkmlizer
Waiting for job on junhua024-chai-12-full-22-1-1-v2-mkmlizer to finish
junhua024-chai-12-full-22-1-1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-12-full-22-1-1-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-22-1-1-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-12-full-22-1-1-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-1-1-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-22-1-1-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-22-1-1-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-22-1-1-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-22-1-1-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-1-1-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-22-1-1-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-22-1-1-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-1-1-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-22-1-1-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-22-1-1-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-22-1-1-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-1-1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-v2-mkmlizer: Downloaded to shared memory in 127.416s
junhua024-chai-12-full-22-1-1-v2-mkmlizer: Checking if junhua024/chai_12_full_22_1_1 already exists in ChaiML
junhua024-chai-12-full-22-1-1-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpum07qfko, device:0
junhua024-chai-12-full-22-1-1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-22-1-1-v2-mkmlizer: quantized model in 162.662s
junhua024-chai-12-full-22-1-1-v2-mkmlizer: Processed model junhua024/chai_12_full_22_1_1 in 290.162s
junhua024-chai-12-full-22-1-1-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-22-1-1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-22-1-1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-22-1-1-v2/nvidia
junhua024-chai-12-full-22-1-1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-1-1-v2/nvidia/config.json
junhua024-chai-12-full-22-1-1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-1-1-v2/nvidia/special_tokens_map.json
junhua024-chai-12-full-22-1-1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-1-1-v2/nvidia/tokenizer_config.json
junhua024-chai-12-full-22-1-1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-22-1-1-v2/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-22-1-1-v2-mkmlizer completed after 314.09s with status: succeeded
Stopping job with name junhua024-chai-12-full-22-1-1-v2-mkmlizer
Pipeline stage MKMLizer completed in 314.57s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-12-full-22-1-1-v2
Waiting for inference service junhua024-chai-12-full-22-1-1-v2 to be ready
Inference service junhua024-chai-12-full-22-1-1-v2 ready after 412.0848400592804s
Pipeline stage MKMLDeployer completed in 413.84s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9902374744415283s
Received healthy response to inference request in 3.303851842880249s
Received healthy response to inference request in 1.592714548110962s
Received healthy response to inference request in 1.9923689365386963s
Received healthy response to inference request in 1.5049338340759277s
5 requests
0 failed requests
5th percentile: 1.5224899768829345
10th percentile: 1.5400461196899413
20th percentile: 1.5751584053039551
30th percentile: 1.6726454257965089
40th percentile: 1.8325071811676026
50th percentile: 1.9923689365386963
60th percentile: 2.391516351699829
70th percentile: 2.7906637668609617
80th percentile: 3.0529603481292726
90th percentile: 3.178406095504761
95th percentile: 3.2411289691925047
99th percentile: 3.2913072681427002
mean time: 2.276821327209473
Pipeline stage StressChecker completed in 12.89s
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 0.73s
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 0.71s
Shutdown handler de-registered
junhua024-chai-12-full-22-1-1_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 6504.07s
Shutdown handler de-registered
junhua024-chai-12-full-22-1-1_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-22-1-1_v2 status is now torndown due to DeploymentManager action