junhua024-chai-19cl-full-0022

developer_uid: junhua024
submission_id: junhua024-chai-19cl-full-0022_v3
model_name: junhua024-chai-19cl-full-0022_v3
model_group: junhua024/chai_19cl-full
status: torndown
timestamp: 2025-07-28T03:15:56+00:00
num_battles: 5771
num_wins: 3141
celo_rating: 1295.58
family_friendly_score: 0.518
family_friendly_standard_error: 0.0070664842743757665
submission_type: basic
model_repo: junhua024/chai_19cl-full_0022
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-19cl-full-0022_v3
is_internal_developer: False
language_model: junhua024/chai_19cl-full_0022
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-27
win_ratio: 0.5442730895858603
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-19cl-full-0022-v3-mkmlizer
Waiting for job on junhua024-chai-19cl-full-0022-v3-mkmlizer to finish
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junhua024-chai-19cl-full-0022-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-19cl-full-0022-v3-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19cl-full-0022-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19cl-full-0022-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19cl-full-0022-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19cl-full-0022-v3-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19cl-full-0022-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19cl-full-0022-v3-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19cl-full-0022-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19cl-full-0022-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19cl-full-0022-v3-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-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-19cl-full-0022-v3-mkmlizer: Downloaded to shared memory in 143.355s
junhua024-chai-19cl-full-0022-v3-mkmlizer: Checking if junhua024/chai_19cl-full_0022 already exists in ChaiML
junhua024-chai-19cl-full-0022-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp20cmyvv7, device:0
junhua024-chai-19cl-full-0022-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19cl-full-0022-v3-mkmlizer: quantized model in 164.722s
junhua024-chai-19cl-full-0022-v3-mkmlizer: Processed model junhua024/chai_19cl-full_0022 in 308.153s
junhua024-chai-19cl-full-0022-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19cl-full-0022-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v3/nvidia
junhua024-chai-19cl-full-0022-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v3/nvidia/special_tokens_map.json
junhua024-chai-19cl-full-0022-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v3/nvidia/config.json
junhua024-chai-19cl-full-0022-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v3/nvidia/tokenizer_config.json
junhua024-chai-19cl-full-0022-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v3/nvidia/tokenizer.json
junhua024-chai-19cl-full-0022-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v3/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-19cl-full-0022-v3-mkmlizer completed after 331.33s with status: succeeded
Stopping job with name junhua024-chai-19cl-full-0022-v3-mkmlizer
Pipeline stage MKMLizer completed in 331.94s
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-19cl-full-0022-v3
Waiting for inference service junhua024-chai-19cl-full-0022-v3 to be ready
Inference service junhua024-chai-19cl-full-0022-v3 ready after 191.6984519958496s
Pipeline stage MKMLDeployer completed in 192.38s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 9.2977933883667s
Received healthy response to inference request in 7.649070739746094s
Received healthy response to inference request in 1.520265817642212s
Received healthy response to inference request in 3.5719616413116455s
Received healthy response to inference request in 1.5240042209625244s
5 requests
0 failed requests
5th percentile: 1.5210134983062744
10th percentile: 1.521761178970337
20th percentile: 1.523256540298462
30th percentile: 1.9335957050323485
40th percentile: 2.7527786731719974
50th percentile: 3.5719616413116455
60th percentile: 5.202805280685425
70th percentile: 6.833648920059203
80th percentile: 7.978815269470215
90th percentile: 8.638304328918457
95th percentile: 8.968048858642577
99th percentile: 9.231844482421875
mean time: 4.712619161605835
%s, retrying in %s seconds...
Received healthy response to inference request in 2.023850679397583s
Received healthy response to inference request in 2.065778970718384s
Received healthy response to inference request in 6.7227091789245605s
Received healthy response to inference request in 2.0064122676849365s
Received healthy response to inference request in 1.771949291229248s
5 requests
0 failed requests
5th percentile: 1.8188418865203857
10th percentile: 1.8657344818115233
20th percentile: 1.9595196723937989
30th percentile: 2.009899950027466
40th percentile: 2.0168753147125242
50th percentile: 2.023850679397583
60th percentile: 2.0406219959259033
70th percentile: 2.0573933124542236
80th percentile: 2.99716501235962
90th percentile: 4.85993709564209
95th percentile: 5.7913231372833245
99th percentile: 6.536431970596313
mean time: 2.9181400775909423
Pipeline stage StressChecker completed in 41.41s
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 1.37s
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 0.76s
Shutdown handler de-registered
junhua024-chai-19cl-full-0022_v3 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 3262.81s
Shutdown handler de-registered
junhua024-chai-19cl-full-0022_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19cl-full-0022_v3 status is now torndown due to DeploymentManager action