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

developer_uid: junhua024
submission_id: junhua024-chai-12-full-22-1-1_v1
model_name: junhua024-chai-12-full-22-1-1_v1
model_group: junhua024/chai_12_full_2
status: torndown
timestamp: 2025-07-29T14:38:04+00:00
num_battles: 6427
num_wins: 3543
celo_rating: 1300.9
family_friendly_score: 0.5267999999999999
family_friendly_standard_error: 0.007060903058391327
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_v1
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: 0.5512680877547845
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-v1-mkmlizer
Waiting for job on junhua024-chai-12-full-22-1-1-v1-mkmlizer to finish
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junhua024-chai-12-full-22-1-1-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-22-1-1-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-1-1-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-22-1-1-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-22-1-1-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-22-1-1-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-22-1-1-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-1-1-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-22-1-1-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-22-1-1-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-1-1-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-22-1-1-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-22-1-1-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-22-1-1-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-1-1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-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-22-1-1-v1-mkmlizer: Downloaded to shared memory in 134.835s
junhua024-chai-12-full-22-1-1-v1-mkmlizer: Checking if junhua024/chai_12_full_22_1_1 already exists in ChaiML
junhua024-chai-12-full-22-1-1-v1-mkmlizer: Creating repo ChaiML/chai_12_full_22_1_1 and uploading /tmp/tmpvsuag8m7 to it
junhua024-chai-12-full-22-1-1-v1-mkmlizer: 
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junhua024-chai-12-full-22-1-1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpvsuag8m7, device:0
junhua024-chai-12-full-22-1-1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-22-1-1-v1-mkmlizer: quantized model in 162.995s
junhua024-chai-12-full-22-1-1-v1-mkmlizer: Processed model junhua024/chai_12_full_22_1_1 in 379.542s
junhua024-chai-12-full-22-1-1-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-22-1-1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-1-1-v1/nvidia/config.json
junhua024-chai-12-full-22-1-1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-1-1-v1/nvidia/special_tokens_map.json
junhua024-chai-12-full-22-1-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-1-1-v1/nvidia/tokenizer_config.json
junhua024-chai-12-full-22-1-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-1-1-v1/nvidia/tokenizer.json
junhua024-chai-12-full-22-1-1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-22-1-1-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-22-1-1-v1-mkmlizer completed after 399.91s with status: succeeded
Stopping job with name junhua024-chai-12-full-22-1-1-v1-mkmlizer
Pipeline stage MKMLizer completed in 400.56s
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-22-1-1-v1
Waiting for inference service junhua024-chai-12-full-22-1-1-v1 to be ready
Failed to get response for submission blend_defol_2025-07-24: HTTPConnectionPool(host='guanaco-model-mesh.k2.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-12-full-22-1-1-v1 ready after 422.66486072540283s
Pipeline stage MKMLDeployer completed in 423.53s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.544135332107544s
Received healthy response to inference request in 1.5207901000976562s
Received healthy response to inference request in 1.4110593795776367s
Received healthy response to inference request in 2.5032052993774414s
Received healthy response to inference request in 1.6297698020935059s
5 requests
0 failed requests
5th percentile: 1.4330055236816406
10th percentile: 1.4549516677856444
20th percentile: 1.4988439559936524
30th percentile: 1.5425860404968261
40th percentile: 1.586177921295166
50th percentile: 1.6297698020935059
60th percentile: 1.97914400100708
70th percentile: 2.328518199920654
80th percentile: 2.511391305923462
90th percentile: 2.527763319015503
95th percentile: 2.5359493255615235
99th percentile: 2.54249813079834
mean time: 1.9217919826507568
Pipeline stage StressChecker completed in 11.35s
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 0.77s
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 0.75s
Shutdown handler de-registered
junhua024-chai-12-full-22-1-1_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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 6405.34s
Shutdown handler de-registered
junhua024-chai-12-full-22-1-1_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-22-1-1_v1 status is now torndown due to DeploymentManager action