junhua024-chai-19nn456

developer_uid: junhua024
submission_id: junhua024-chai-19nn456_v2
model_name: junhua024-chai-19nn456_v1
model_group: junhua024/chai_19nn456
status: torndown
timestamp: 2025-07-28T22:39:16+00:00
num_battles: 5503
num_wins: 2935
celo_rating: 1290.58
family_friendly_score: 0.522
family_friendly_standard_error: 0.007064219702132713
submission_type: basic
model_repo: junhua024/chai_19nn456
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
display_name: junhua024-chai-19nn456_v1
is_internal_developer: False
language_model: junhua024/chai_19nn456
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5333454479374886
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", '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-19nn456-v2-mkmlizer
Waiting for job on junhua024-chai-19nn456-v2-mkmlizer to finish
junhua024-chai-19nn456-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-19nn456-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-19nn456-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-19nn456-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19nn456-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19nn456-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19nn456-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19nn456-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19nn456-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19nn456-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19nn456-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19nn456-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19nn456-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19nn456-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19nn456-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19nn456-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19nn456-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-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-19nn456-v2-mkmlizer: Downloaded to shared memory in 227.553s
junhua024-chai-19nn456-v2-mkmlizer: Checking if junhua024/chai_19nn456 already exists in ChaiML
junhua024-chai-19nn456-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpvz5yphto, device:0
junhua024-chai-19nn456-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19nn456-v2-mkmlizer: quantized model in 163.207s
junhua024-chai-19nn456-v2-mkmlizer: Processed model junhua024/chai_19nn456 in 390.844s
junhua024-chai-19nn456-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19nn456-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19nn456-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19nn456-v2/nvidia
junhua024-chai-19nn456-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19nn456-v2/nvidia/config.json
junhua024-chai-19nn456-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19nn456-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-19nn456-v2-mkmlizer: 
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Job junhua024-chai-19nn456-v2-mkmlizer completed after 411.63s with status: succeeded
Stopping job with name junhua024-chai-19nn456-v2-mkmlizer
Pipeline stage MKMLizer completed in 412.32s
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-19nn456-v2
Waiting for inference service junhua024-chai-19nn456-v2 to be ready
Inference service junhua024-chai-19nn456-v2 ready after 231.98027896881104s
Pipeline stage MKMLDeployer completed in 234.59s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.53521728515625s
Received healthy response to inference request in 3.3254244327545166s
Received healthy response to inference request in 2.96264910697937s
Received healthy response to inference request in 1.4476158618927002s
Received healthy response to inference request in 2.6516010761260986s
5 requests
0 failed requests
5th percentile: 1.6884129047393799
10th percentile: 1.9292099475860596
20th percentile: 2.410804033279419
30th percentile: 2.713810682296753
40th percentile: 2.8382298946380615
50th percentile: 2.96264910697937
60th percentile: 3.1077592372894287
70th percentile: 3.2528693675994873
80th percentile: 3.3673830032348633
90th percentile: 3.4513001441955566
95th percentile: 3.4932587146759033
99th percentile: 3.5268255710601806
mean time: 2.784501552581787
Pipeline stage StressChecker completed in 15.23s
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 0.69s
Shutdown handler de-registered
junhua024-chai-19nn456_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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3218.28s
Shutdown handler de-registered
junhua024-chai-19nn456_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19nn456_v2 status is now torndown due to DeploymentManager action