junhua024-chai-12-full-06-12

developer_uid: junhua024
submission_id: junhua024-chai-12-full-06-12_v1
model_name: junhua024-chai-12-full-06-12_v1
model_group: junhua024/chai_12_full_0
status: torndown
timestamp: 2025-07-27T18:48:32+00:00
num_battles: 6664
num_wins: 3761
celo_rating: 1300.69
family_friendly_score: 0.42700000000000005
family_friendly_standard_error: 0.006995298421082549
submission_type: basic
model_repo: junhua024/chai_12_full_06_12
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-06-12_v1
is_internal_developer: False
language_model: junhua024/chai_12_full_06_12
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-27
win_ratio: 0.56437575030012
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-06-12-v1-mkmlizer
Waiting for job on junhua024-chai-12-full-06-12-v1-mkmlizer to finish
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junhua024-chai-12-full-06-12-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-06-12-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-12-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-06-12-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-06-12-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-06-12-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-06-12-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-12-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-06-12-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-06-12-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-12-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-06-12-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-06-12-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-06-12-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-12-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-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-06-12-v1-mkmlizer: Downloaded to shared memory in 108.636s
junhua024-chai-12-full-06-12-v1-mkmlizer: Checking if junhua024/chai_12_full_06_12 already exists in ChaiML
junhua024-chai-12-full-06-12-v1-mkmlizer: Creating repo ChaiML/chai_12_full_06_12 and uploading /tmp/tmp01csucrh to it
junhua024-chai-12-full-06-12-v1-mkmlizer: 
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junhua024-chai-12-full-06-12-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp01csucrh, device:0
junhua024-chai-12-full-06-12-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission junhua024-chai-12-full-06_v7: HTTPConnectionPool(host='junhua024-chai-12-full-06-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-12-full-06-12-v1-mkmlizer: quantized model in 186.306s
junhua024-chai-12-full-06-12-v1-mkmlizer: Processed model junhua024/chai_12_full_06_12 in 353.427s
junhua024-chai-12-full-06-12-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-06-12-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-06-12-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-06-12-v1/nvidia
junhua024-chai-12-full-06-12-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-12-v1/nvidia/special_tokens_map.json
junhua024-chai-12-full-06-12-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-12-v1/nvidia/config.json
junhua024-chai-12-full-06-12-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-12-v1/nvidia/tokenizer_config.json
junhua024-chai-12-full-06-12-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-12-v1/nvidia/tokenizer.json
junhua024-chai-12-full-06-12-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-06-12-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-06-12-v1-mkmlizer completed after 376.9s with status: succeeded
Stopping job with name junhua024-chai-12-full-06-12-v1-mkmlizer
Pipeline stage MKMLizer completed in 377.79s
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-06-12-v1
Waiting for inference service junhua024-chai-12-full-06-12-v1 to be ready
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Failed to get response for submission chaiml-gy-exp236-sft-gy_42234_v1: HTTPConnectionPool(host='chaiml-gy-exp236-sft-gy-42234-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-gy-exp236-sft-gy_42234_v1: HTTPConnectionPool(host='chaiml-gy-exp236-sft-gy-42234-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-12-full-06-12-v1 ready after 200.70110392570496s
Pipeline stage MKMLDeployer completed in 201.41s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.926600694656372s
Received healthy response to inference request in 2.3540828227996826s
Received healthy response to inference request in 1.9574933052062988s
Received healthy response to inference request in 2.0994255542755127s
Received healthy response to inference request in 2.2441630363464355s
5 requests
0 failed requests
5th percentile: 1.9858797550201417
10th percentile: 2.0142662048339846
20th percentile: 2.07103910446167
30th percentile: 2.128373050689697
40th percentile: 2.1862680435180666
50th percentile: 2.2441630363464355
60th percentile: 2.2881309509277346
70th percentile: 2.332098865509033
80th percentile: 2.4685863971710207
90th percentile: 2.6975935459136964
95th percentile: 2.812097120285034
99th percentile: 2.9036999797821044
mean time: 2.3163530826568604
Pipeline stage StressChecker completed in 13.47s
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 0.76s
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-06-12_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 6251.20s
Shutdown handler de-registered
junhua024-chai-12-full-06-12_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-06-12_v1 status is now torndown due to DeploymentManager action