junhua024-chainn7

developer_uid: junhua024
submission_id: junhua024-chainn7_v1
model_name: junhua024-chainn7_v1
model_group: junhua024/chainn7
status: torndown
timestamp: 2025-07-28T18:48:46+00:00
num_battles: 6806
num_wins: 3512
celo_rating: 1278.88
family_friendly_score: 0.5194
family_friendly_standard_error: 0.00706574327300391
submission_type: basic
model_repo: junhua024/chainn7
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-chainn7_v1
is_internal_developer: False
language_model: junhua024/chainn7
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.516015280634734
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-chainn7-v1-mkmlizer
Waiting for job on junhua024-chainn7-v1-mkmlizer to finish
junhua024-chainn7-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chainn7-v1-mkmlizer: ║                                                                     ║
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junhua024-chainn7-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chainn7-v1-mkmlizer: ║                                                                     ║
junhua024-chainn7-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chainn7-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chainn7-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chainn7-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chainn7-v1-mkmlizer: ║                                                                     ║
junhua024-chainn7-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chainn7-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chainn7-v1-mkmlizer: ║                                                                     ║
junhua024-chainn7-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chainn7-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chainn7-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chainn7-v1-mkmlizer: ║                                                                     ║
junhua024-chainn7-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-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-chainn7-v1-mkmlizer: Downloaded to shared memory in 136.719s
junhua024-chainn7-v1-mkmlizer: Checking if junhua024/chainn7 already exists in ChaiML
junhua024-chainn7-v1-mkmlizer: Creating repo ChaiML/chainn7 and uploading /tmp/tmp69t13o5x to it
junhua024-chainn7-v1-mkmlizer: 
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junhua024-chainn7-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp69t13o5x, device:0
junhua024-chainn7-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission junhua024-chai-12-full-20_v5: HTTPConnectionPool(host='junhua024-chai-12-full-20-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-12-full-20_v5: HTTPConnectionPool(host='junhua024-chai-12-full-20-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chainn7-v1-mkmlizer: quantized model in 162.408s
junhua024-chainn7-v1-mkmlizer: Processed model junhua024/chainn7 in 388.879s
junhua024-chainn7-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chainn7-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chainn7-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chainn7-v1/nvidia
junhua024-chainn7-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chainn7-v1/nvidia/config.json
junhua024-chainn7-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chainn7-v1/nvidia/special_tokens_map.json
junhua024-chainn7-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chainn7-v1/nvidia/tokenizer_config.json
junhua024-chainn7-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chainn7-v1/nvidia/tokenizer.json
junhua024-chainn7-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chainn7-v1/nvidia/flywheel_model.0.safetensors
junhua024-chainn7-v1-mkmlizer: 
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Job junhua024-chainn7-v1-mkmlizer completed after 411.32s with status: succeeded
Stopping job with name junhua024-chainn7-v1-mkmlizer
Pipeline stage MKMLizer completed in 411.86s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chainn7-v1
Waiting for inference service junhua024-chainn7-v1 to be ready
Failed to get response for submission junhua024-chai-12-full-20_v5: HTTPConnectionPool(host='junhua024-chai-12-full-20-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-19cl-full-0022_v7: HTTPConnectionPool(host='junhua024-chai-19cl-full-0022-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chainn7-v1 ready after 221.59821343421936s
Pipeline stage MKMLDeployer completed in 222.20s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.371941566467285s
Received healthy response to inference request in 2.292057991027832s
Received healthy response to inference request in 1.5833821296691895s
Received healthy response to inference request in 1.6222872734069824s
Received healthy response to inference request in 1.6145391464233398s
5 requests
0 failed requests
5th percentile: 1.5896135330200196
10th percentile: 1.5958449363708496
20th percentile: 1.6083077430725097
30th percentile: 1.6160887718200683
40th percentile: 1.6191880226135253
50th percentile: 1.6222872734069824
60th percentile: 1.8901955604553222
70th percentile: 2.158103847503662
80th percentile: 2.3080347061157225
90th percentile: 2.339988136291504
95th percentile: 2.3559648513793947
99th percentile: 2.368746223449707
mean time: 1.8968416213989259
Pipeline stage StressChecker completed in 11.18s
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 0.83s
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 0.79s
Shutdown handler de-registered
junhua024-chainn7_v1 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5568.80s
Shutdown handler de-registered
junhua024-chainn7_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chainn7_v1 status is now torndown due to DeploymentManager action