junhua024-chai-12-full-22-26

developer_uid: junhua024
submission_id: junhua024-chai-12-full-22-26_v1
model_name: junhua024-chai-12-full-22-26_v1
model_group: junhua024/chai_12_full_2
status: torndown
timestamp: 2025-07-29T13:14:58+00:00
num_battles: 7315
num_wins: 3982
celo_rating: 1291.84
family_friendly_score: 0.5204
family_friendly_standard_error: 0.007065179969399223
submission_type: basic
model_repo: junhua024/chai_12_full_22_26
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-22-26_v1
is_internal_developer: False
language_model: junhua024/chai_12_full_22_26
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-29
win_ratio: 0.544360902255639
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-22-26-v1-mkmlizer
Waiting for job on junhua024-chai-12-full-22-26-v1-mkmlizer to finish
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junhua024-chai-12-full-22-26-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-22-26-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-12-full-22-26-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-26-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-22-26-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-22-26-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-22-26-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-22-26-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-26-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-22-26-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-22-26-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-26-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-22-26-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-22-26-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-22-26-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-22-26-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-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-22-26-v1-mkmlizer: Downloaded to shared memory in 165.936s
junhua024-chai-12-full-22-26-v1-mkmlizer: Checking if junhua024/chai_12_full_22_26 already exists in ChaiML
junhua024-chai-12-full-22-26-v1-mkmlizer: Creating repo ChaiML/chai_12_full_22_26 and uploading /tmp/tmp0ycvc089 to it
junhua024-chai-12-full-22-26-v1-mkmlizer: 
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junhua024-chai-12-full-22-26-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp0ycvc089, device:0
junhua024-chai-12-full-22-26-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-22-26-v1-mkmlizer: quantized model in 162.873s
junhua024-chai-12-full-22-26-v1-mkmlizer: Processed model junhua024/chai_12_full_22_26 in 415.387s
junhua024-chai-12-full-22-26-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-22-26-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-22-26-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-22-26-v1/nvidia
junhua024-chai-12-full-22-26-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-26-v1/nvidia/config.json
junhua024-chai-12-full-22-26-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-26-v1/nvidia/special_tokens_map.json
junhua024-chai-12-full-22-26-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-26-v1/nvidia/tokenizer_config.json
junhua024-chai-12-full-22-26-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-26-v1/nvidia/tokenizer.json
junhua024-chai-12-full-22-26-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-22-26-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-22-26-v1-mkmlizer completed after 443.44s with status: succeeded
Stopping job with name junhua024-chai-12-full-22-26-v1-mkmlizer
Pipeline stage MKMLizer completed in 444.18s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-12-full-22-26-v1
Waiting for inference service junhua024-chai-12-full-22-26-v1 to be ready
Inference service junhua024-chai-12-full-22-26-v1 ready after 253.0736391544342s
Pipeline stage MKMLDeployer completed in 254.06s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3567564487457275s
Received healthy response to inference request in 1.9815130233764648s
Received healthy response to inference request in 1.8178019523620605s
Received healthy response to inference request in 2.588721513748169s
Received healthy response to inference request in 2.044267177581787s
5 requests
0 failed requests
5th percentile: 1.8505441665649414
10th percentile: 1.8832863807678222
20th percentile: 1.948770809173584
30th percentile: 1.9940638542175293
40th percentile: 2.019165515899658
50th percentile: 2.044267177581787
60th percentile: 2.1692628860473633
70th percentile: 2.2942585945129395
80th percentile: 2.403149461746216
90th percentile: 2.495935487747192
95th percentile: 2.5423285007476806
99th percentile: 2.5794429111480714
mean time: 2.1578120231628417
Pipeline stage StressChecker completed in 12.08s
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 0.99s
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 0.69s
Shutdown handler de-registered
junhua024-chai-12-full-22-26_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 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-12-full-22-26-v1-profiler
Waiting for inference service junhua024-chai-12-full-22-26-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 7202.95s
Shutdown handler de-registered
junhua024-chai-12-full-22-26_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-22-26_v1 status is now torndown due to DeploymentManager action