junhua024-chai-12-full-22-10

developer_uid: junhua024
submission_id: junhua024-chai-12-full-22-10_v1
model_name: junhua024-chai-12-full-22-10_v1
model_group: junhua024/chai_12_full_2
status: torndown
timestamp: 2025-07-29T05:26:07+00:00
num_battles: 5312
num_wins: 2987
celo_rating: 1295.51
family_friendly_score: 0.53
family_friendly_standard_error: 0.007058328414008518
submission_type: basic
model_repo: junhua024/chai_12_full_22_10
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-22-10_v1
is_internal_developer: False
language_model: junhua024/chai_12_full_22_10
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5623117469879518
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-22-10-v1-mkmlizer
Waiting for job on junhua024-chai-12-full-22-10-v1-mkmlizer to finish
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junhua024-chai-12-full-22-10-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-22-10-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-12-full-22-10-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-10-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-22-10-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-22-10-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-22-10-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-22-10-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-10-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-22-10-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-22-10-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-10-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-22-10-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-22-10-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-22-10-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-10-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-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-22-10-v1-mkmlizer: Downloaded to shared memory in 132.338s
junhua024-chai-12-full-22-10-v1-mkmlizer: Checking if junhua024/chai_12_full_22_10 already exists in ChaiML
junhua024-chai-12-full-22-10-v1-mkmlizer: Creating repo ChaiML/chai_12_full_22_10 and uploading /tmp/tmpff4ifkc6 to it
junhua024-chai-12-full-22-10-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpff4ifkc6, device:0
junhua024-chai-12-full-22-10-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-22-10-v1-mkmlizer: quantized model in 159.231s
junhua024-chai-12-full-22-10-v1-mkmlizer: Processed model junhua024/chai_12_full_22_10 in 371.182s
junhua024-chai-12-full-22-10-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-22-10-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-22-10-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-22-10-v1/nvidia
junhua024-chai-12-full-22-10-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-10-v1/nvidia/config.json
junhua024-chai-12-full-22-10-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-10-v1/nvidia/special_tokens_map.json
junhua024-chai-12-full-22-10-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-10-v1/nvidia/tokenizer_config.json
junhua024-chai-12-full-22-10-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-10-v1/nvidia/tokenizer.json
junhua024-chai-12-full-22-10-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-22-10-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-12-full-22-10-v1-mkmlizer: 
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Job junhua024-chai-12-full-22-10-v1-mkmlizer completed after 396.15s with status: succeeded
Stopping job with name junhua024-chai-12-full-22-10-v1-mkmlizer
Pipeline stage MKMLizer completed in 396.65s
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-22-10-v1
Waiting for inference service junhua024-chai-12-full-22-10-v1 to be ready
Inference service junhua024-chai-12-full-22-10-v1 ready after 242.25793147087097s
Pipeline stage MKMLDeployer completed in 242.81s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7683231830596924s
Received healthy response to inference request in 4.486313581466675s
Received healthy response to inference request in 1.466055154800415s
Received healthy response to inference request in 1.947385549545288s
Received healthy response to inference request in 2.7828781604766846s
5 requests
0 failed requests
5th percentile: 1.5623212337493897
10th percentile: 1.6585873126983643
20th percentile: 1.8511194705963134
30th percentile: 2.111573076248169
40th percentile: 2.439948129653931
50th percentile: 2.7683231830596924
60th percentile: 2.774145174026489
70th percentile: 2.779967164993286
80th percentile: 3.123565244674683
90th percentile: 3.804939413070679
95th percentile: 4.145626497268676
99th percentile: 4.418176164627075
mean time: 2.690191125869751
Pipeline stage StressChecker completed in 14.74s
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 1.18s
Shutdown handler de-registered
junhua024-chai-12-full-22-10_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-12-full-22-10-v1-profiler
Waiting for inference service junhua024-chai-12-full-22-10-v1-profiler to be ready
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 3057.59s
Shutdown handler de-registered
junhua024-chai-12-full-22-10_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-22-10_v1 status is now torndown due to DeploymentManager action