junhua024-chai-19nn6

developer_uid: junhua024
submission_id: junhua024-chai-19nn6_v3
model_name: junhua024-chai-19nn6_v3
model_group: junhua024/chai_19nn6
status: torndown
timestamp: 2025-07-29T00:37:39+00:00
num_battles: 5275
num_wins: 2872
celo_rating: 1289.09
family_friendly_score: 0.5232
family_friendly_standard_error: 0.007063451847361883
submission_type: basic
model_repo: junhua024/chai_19nn6
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-19nn6_v3
is_internal_developer: False
language_model: junhua024/chai_19nn6
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5444549763033175
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-19nn6-v3-mkmlizer
Waiting for job on junhua024-chai-19nn6-v3-mkmlizer to finish
junhua024-chai-19nn6-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-19nn6-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-19nn6-v3-mkmlizer: ║                                                                     ║
junhua024-chai-19nn6-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19nn6-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19nn6-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19nn6-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19nn6-v3-mkmlizer: ║                                                                     ║
junhua024-chai-19nn6-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19nn6-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19nn6-v3-mkmlizer: ║                                                                     ║
junhua024-chai-19nn6-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19nn6-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19nn6-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19nn6-v3-mkmlizer: ║                                                                     ║
junhua024-chai-19nn6-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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`
Unable to record family friendly update due to error: HTTPConnectionPool(host='chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x7df87048ced0>, 'Connection to chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
junhua024-chai-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-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-19nn6-v3-mkmlizer: Downloaded to shared memory in 81.507s
junhua024-chai-19nn6-v3-mkmlizer: Checking if junhua024/chai_19nn6 already exists in ChaiML
junhua024-chai-19nn6-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpwpa2krpc, device:0
junhua024-chai-19nn6-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19nn6-v3-mkmlizer: quantized model in 162.910s
junhua024-chai-19nn6-v3-mkmlizer: Processed model junhua024/chai_19nn6 in 244.504s
junhua024-chai-19nn6-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19nn6-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19nn6-v3/nvidia
junhua024-chai-19nn6-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19nn6-v3/nvidia/special_tokens_map.json
junhua024-chai-19nn6-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19nn6-v3/nvidia/config.json
junhua024-chai-19nn6-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19nn6-v3/nvidia/tokenizer_config.json
junhua024-chai-19nn6-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19nn6-v3/nvidia/tokenizer.json
junhua024-chai-19nn6-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19nn6-v3/nvidia/flywheel_model.0.safetensors
junhua024-chai-19nn6-v3-mkmlizer: 
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Job junhua024-chai-19nn6-v3-mkmlizer completed after 263.47s with status: succeeded
Stopping job with name junhua024-chai-19nn6-v3-mkmlizer
Pipeline stage MKMLizer completed in 264.09s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-19nn6-v3
Waiting for inference service junhua024-chai-19nn6-v3 to be ready
Inference service junhua024-chai-19nn6-v3 ready after 230.87203407287598s
Pipeline stage MKMLDeployer completed in 232.33s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5344460010528564s
Received healthy response to inference request in 1.7940526008605957s
Received healthy response to inference request in 1.2470371723175049s
Received healthy response to inference request in 1.285841941833496s
Received healthy response to inference request in 2.54316782951355s
5 requests
0 failed requests
5th percentile: 1.254798126220703
10th percentile: 1.2625590801239013
20th percentile: 1.278080987930298
30th percentile: 1.387484073638916
40th percentile: 1.5907683372497559
50th percentile: 1.7940526008605957
60th percentile: 2.0902099609375
70th percentile: 2.3863673210144043
80th percentile: 2.536190366744995
90th percentile: 2.5396790981292723
95th percentile: 2.541423463821411
99th percentile: 2.5428189563751222
mean time: 1.8809091091156005
Pipeline stage StressChecker completed in 11.17s
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 0.83s
Shutdown handler de-registered
junhua024-chai-19nn6_v3 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 0.16s
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-19nn6-v3-profiler
Waiting for inference service junhua024-chai-19nn6-v3-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 3163.55s
Shutdown handler de-registered
junhua024-chai-19nn6_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19nn6_v3 status is now torndown due to DeploymentManager action