junhua024-chai-19cl-full-0022

developer_uid: junhua024
submission_id: junhua024-chai-19cl-full-0022_v5
model_name: junhua024-chai-19cl-full-0022_v5
model_group: junhua024/chai_19cl-full
status: torndown
timestamp: 2025-07-28T06:23:27+00:00
num_battles: 8132
num_wins: 4431
celo_rating: 1292.53
family_friendly_score: 0.523
family_friendly_standard_error: 0.007063582660378514
submission_type: basic
model_repo: junhua024/chai_19cl-full_0022
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-19cl-full-0022_v5
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: 0.544884407279882
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-19cl-full-0022-v5-mkmlizer
Waiting for job on junhua024-chai-19cl-full-0022-v5-mkmlizer to finish
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junhua024-chai-19cl-full-0022-v5-mkmlizer: ║                                                                     ║
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junhua024-chai-19cl-full-0022-v5-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v5-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19cl-full-0022-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19cl-full-0022-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19cl-full-0022-v5-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19cl-full-0022-v5-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19cl-full-0022-v5-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19cl-full-0022-v5-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v5-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19cl-full-0022-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19cl-full-0022-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19cl-full-0022-v5-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19cl-full-0022-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-mkmlizer: Downloaded to shared memory in 105.795s
junhua024-chai-19cl-full-0022-v5-mkmlizer: Checking if junhua024/chai_19cl-full_0022 already exists in ChaiML
junhua024-chai-19cl-full-0022-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp2ysgkqcf, device:0
junhua024-chai-19cl-full-0022-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission chaiml-grpo-nis-cogito3_88600_v4: HTTPConnectionPool(host='chaiml-grpo-nis-cogito3-88600-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-19cl-full-0022-v5-mkmlizer: quantized model in 186.034s
junhua024-chai-19cl-full-0022-v5-mkmlizer: Processed model junhua024/chai_19cl-full_0022 in 291.876s
junhua024-chai-19cl-full-0022-v5-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19cl-full-0022-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19cl-full-0022-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v5/nvidia
junhua024-chai-19cl-full-0022-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v5/nvidia/config.json
junhua024-chai-19cl-full-0022-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v5/nvidia/special_tokens_map.json
junhua024-chai-19cl-full-0022-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v5/nvidia/tokenizer_config.json
junhua024-chai-19cl-full-0022-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v5/nvidia/tokenizer.json
junhua024-chai-19cl-full-0022-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v5/nvidia/flywheel_model.0.safetensors
junhua024-chai-19cl-full-0022-v5-mkmlizer: 
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Job junhua024-chai-19cl-full-0022-v5-mkmlizer completed after 314.07s with status: succeeded
Stopping job with name junhua024-chai-19cl-full-0022-v5-mkmlizer
Pipeline stage MKMLizer completed in 314.67s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.25s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-19cl-full-0022-v5
Waiting for inference service junhua024-chai-19cl-full-0022-v5 to be ready
Inference service junhua024-chai-19cl-full-0022-v5 ready after 200.6897578239441s
Pipeline stage MKMLDeployer completed in 201.57s
run pipeline stage %s
Running pipeline stage StressChecker
Failed to get response for submission chaiml-grpo-nis-cogito3_88600_v4: HTTPConnectionPool(host='chaiml-grpo-nis-cogito3-88600-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.5239224433898926s
Received healthy response to inference request in 2.7326290607452393s
Received healthy response to inference request in 1.5580213069915771s
Received healthy response to inference request in 1.5454792976379395s
5 requests
1 failed requests
5th percentile: 1.547987699508667
10th percentile: 1.5504961013793945
20th percentile: 1.5555129051208496
30th percentile: 1.7512015342712401
40th percentile: 2.1375619888305666
50th percentile: 2.5239224433898926
60th percentile: 2.607405090332031
70th percentile: 2.6908877372741697
80th percentile: 6.264058732986453
90th percentile: 13.326918077468875
95th percentile: 16.85834774971008
99th percentile: 19.68349148750305
mean time: 5.7499659061431885
%s, retrying in %s seconds...
Received healthy response to inference request in 1.951573133468628s
Received healthy response to inference request in 2.9220657348632812s
Received healthy response to inference request in 2.8505074977874756s
Received healthy response to inference request in 2.9916439056396484s
Received healthy response to inference request in 3.0930092334747314s
5 requests
0 failed requests
5th percentile: 2.1313600063323976
10th percentile: 2.311146879196167
20th percentile: 2.670720624923706
30th percentile: 2.864819145202637
40th percentile: 2.893442440032959
50th percentile: 2.9220657348632812
60th percentile: 2.9498970031738283
70th percentile: 2.977728271484375
80th percentile: 3.011916971206665
90th percentile: 3.052463102340698
95th percentile: 3.0727361679077148
99th percentile: 3.0889546203613283
mean time: 2.761759901046753
Pipeline stage StressChecker completed in 45.45s
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 0.72s
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 0.78s
Shutdown handler de-registered
junhua024-chai-19cl-full-0022_v5 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 5174.54s
Shutdown handler de-registered
junhua024-chai-19cl-full-0022_v5 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19cl-full-0022_v5 status is now torndown due to DeploymentManager action