junhua024-chai-19dp05

developer_uid: junhua024
submission_id: junhua024-chai-19dp05_v2
model_name: junhua024-chai-19dp05_v2
model_group: junhua024/chai_19dp05
status: torndown
timestamp: 2025-07-28T06:47:49+00:00
num_battles: 7007
num_wins: 3656
celo_rating: 1275.13
family_friendly_score: 0.40380000000000005
family_friendly_standard_error: 0.006938956117457438
submission_type: basic
model_repo: junhua024/chai_19dp05
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-19dp05_v2
is_internal_developer: False
language_model: junhua024/chai_19dp05
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-27
win_ratio: 0.5217639503353789
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-19dp05-v2-mkmlizer
Waiting for job on junhua024-chai-19dp05-v2-mkmlizer to finish
junhua024-chai-19dp05-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-19dp05-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-19dp05-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-19dp05-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19dp05-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19dp05-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19dp05-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19dp05-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19dp05-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19dp05-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19dp05-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19dp05-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19dp05-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19dp05-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19dp05-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19dp05-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19dp05-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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`
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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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-19dp05-v2-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`
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-19dp05-v2-mkmlizer: quantized model in 161.310s
junhua024-chai-19dp05-v2-mkmlizer: Processed model junhua024/chai_19dp05 in 291.578s
junhua024-chai-19dp05-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19dp05-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19dp05-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19dp05-v2/nvidia
junhua024-chai-19dp05-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19dp05-v2/nvidia/config.json
junhua024-chai-19dp05-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19dp05-v2/nvidia/special_tokens_map.json
junhua024-chai-19dp05-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19dp05-v2/nvidia/tokenizer_config.json
junhua024-chai-19dp05-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19dp05-v2/nvidia/tokenizer.json
junhua024-chai-19dp05-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19dp05-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-19dp05-v2-mkmlizer: 
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Job junhua024-chai-19dp05-v2-mkmlizer completed after 314.53s with status: succeeded
Stopping job with name junhua024-chai-19dp05-v2-mkmlizer
Pipeline stage MKMLizer completed in 315.09s
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-19dp05-v2
Waiting for inference service junhua024-chai-19dp05-v2 to be ready
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)
Tearing down inference service junhua024-chai-19dp05-v2
%s, retrying in %s seconds...
Creating inference service junhua024-chai-19dp05-v2
Waiting for inference service junhua024-chai-19dp05-v2 to be ready
Inference service junhua024-chai-19dp05-v2 ready after 171.37169575691223s
Pipeline stage MKMLDeployer completed in 775.86s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4892003536224365s
Received healthy response to inference request in 2.6960911750793457s
Received healthy response to inference request in 2.6926205158233643s
Received healthy response to inference request in 1.886017084121704s
Received healthy response to inference request in 2.871936798095703s
5 requests
0 failed requests
5th percentile: 2.0066537380218508
10th percentile: 2.127290391921997
20th percentile: 2.36856369972229
30th percentile: 2.529884386062622
40th percentile: 2.611252450942993
50th percentile: 2.6926205158233643
60th percentile: 2.694008779525757
70th percentile: 2.6953970432281493
80th percentile: 2.731260299682617
90th percentile: 2.80159854888916
95th percentile: 2.8367676734924316
99th percentile: 2.864902973175049
mean time: 2.5271731853485107
Pipeline stage StressChecker completed in 14.03s
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 0.68s
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 0.69s
Shutdown handler de-registered
junhua024-chai-19dp05_v2 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-19dp05-v2-profiler
Waiting for inference service junhua024-chai-19dp05-v2-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 3279.81s
Shutdown handler de-registered
junhua024-chai-19dp05_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19dp05_v2 status is now torndown due to DeploymentManager action