junhua024-chai-19nn14

developer_uid: junhua024
submission_id: junhua024-chai-19nn14_v1
model_name: junhua024-chai-19nn14_v1
model_group: junhua024/chai_19nn14
status: torndown
timestamp: 2025-07-28T22:22:31+00:00
num_battles: 6056
num_wins: 3137
celo_rating: 1282.51
family_friendly_score: 0.514
family_friendly_standard_error: 0.00706829540978587
submission_type: basic
model_repo: junhua024/chai_19nn14
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-19nn14_v1
is_internal_developer: False
language_model: junhua024/chai_19nn14
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.517998678996037
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-19nn14-v1-mkmlizer
Waiting for job on junhua024-chai-19nn14-v1-mkmlizer to finish
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junhua024-chai-19nn14-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-19nn14-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-19nn14-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn14-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19nn14-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19nn14-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19nn14-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19nn14-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn14-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19nn14-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19nn14-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn14-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19nn14-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19nn14-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19nn14-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn14-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-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-19nn14-v1-mkmlizer: Downloaded to shared memory in 174.631s
junhua024-chai-19nn14-v1-mkmlizer: Checking if junhua024/chai_19nn14 already exists in ChaiML
junhua024-chai-19nn14-v1-mkmlizer: Creating repo ChaiML/chai_19nn14 and uploading /tmp/tmpwt5_06uh to it
junhua024-chai-19nn14-v1-mkmlizer: 
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junhua024-chai-19nn14-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpwt5_06uh, device:0
junhua024-chai-19nn14-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19nn14-v1-mkmlizer: quantized model in 159.925s
junhua024-chai-19nn14-v1-mkmlizer: Processed model junhua024/chai_19nn14 in 419.628s
junhua024-chai-19nn14-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19nn14-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19nn14-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19nn14-v1/nvidia
junhua024-chai-19nn14-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19nn14-v1/nvidia/config.json
junhua024-chai-19nn14-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19nn14-v1/nvidia/special_tokens_map.json
junhua024-chai-19nn14-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19nn14-v1/nvidia/tokenizer_config.json
junhua024-chai-19nn14-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19nn14-v1/nvidia/tokenizer.json
junhua024-chai-19nn14-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19nn14-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-19nn14-v1-mkmlizer: 
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Job junhua024-chai-19nn14-v1-mkmlizer completed after 439.69s with status: succeeded
Stopping job with name junhua024-chai-19nn14-v1-mkmlizer
Pipeline stage MKMLizer completed in 440.32s
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-19nn14-v1
Waiting for inference service junhua024-chai-19nn14-v1 to be ready
Unable to record family friendly update due to error: Invalid JSON input: JSON must contain 'User Safety' and 'Response Safety' fields
Inference service junhua024-chai-19nn14-v1 ready after 231.1767029762268s
Pipeline stage MKMLDeployer completed in 231.74s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.3565752506256104s
Received healthy response to inference request in 1.2987799644470215s
Received healthy response to inference request in 3.9575436115264893s
Received healthy response to inference request in 2.4499619007110596s
Received healthy response to inference request in 1.7447254657745361s
5 requests
0 failed requests
5th percentile: 1.3879690647125245
10th percentile: 1.4771581649780274
20th percentile: 1.6555363655090332
30th percentile: 1.8857727527618409
40th percentile: 2.16786732673645
50th percentile: 2.4499619007110596
60th percentile: 2.8126072406768796
70th percentile: 3.1752525806427
80th percentile: 3.4767689228057863
90th percentile: 3.717156267166138
95th percentile: 3.8373499393463133
99th percentile: 3.933504877090454
mean time: 2.5615172386169434
Pipeline stage StressChecker completed in 15.14s
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 0.80s
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 0.85s
Shutdown handler de-registered
junhua024-chai-19nn14_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 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-19nn14-v1-profiler
Waiting for inference service junhua024-chai-19nn14-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 5689.12s
Shutdown handler de-registered
junhua024-chai-19nn14_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19nn14_v1 status is now torndown due to DeploymentManager action