junhua024-chai-19cl-full-0022

developer_uid: junhua024
submission_id: junhua024-chai-19cl-full-0022_v6
model_name: junhua024-chai-19cl-full-0022_v6
model_group: junhua024/chai_19cl-full
status: torndown
timestamp: 2025-07-28T07:35:06+00:00
num_battles: 6926
num_wins: 3686
celo_rating: 1285.59
family_friendly_score: 0.4928
family_friendly_standard_error: 0.007070334645545429
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_v6
is_internal_developer: False
language_model: junhua024/chai_19cl-full_0022
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5321975166041005
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-v6-mkmlizer
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junhua024-chai-19cl-full-0022-v6-mkmlizer: ║                                                                     ║
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junhua024-chai-19cl-full-0022-v6-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v6-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19cl-full-0022-v6-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19cl-full-0022-v6-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19cl-full-0022-v6-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19cl-full-0022-v6-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19cl-full-0022-v6-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19cl-full-0022-v6-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v6-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19cl-full-0022-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19cl-full-0022-v6-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19cl-full-0022-v6-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19cl-full-0022-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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`
Retrying (%r) after connection broken by '%r': %s
junhua024-chai-19cl-full-0022-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-mkmlizer: Downloaded to shared memory in 118.131s
junhua024-chai-19cl-full-0022-v6-mkmlizer: Checking if junhua024/chai_19cl-full_0022 already exists in ChaiML
junhua024-chai-19cl-full-0022-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp0mkh357t, device:0
junhua024-chai-19cl-full-0022-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19cl-full-0022-v6-mkmlizer: quantized model in 162.736s
junhua024-chai-19cl-full-0022-v6-mkmlizer: Processed model junhua024/chai_19cl-full_0022 in 280.965s
junhua024-chai-19cl-full-0022-v6-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19cl-full-0022-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v6/nvidia/config.json
junhua024-chai-19cl-full-0022-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v6/nvidia/special_tokens_map.json
junhua024-chai-19cl-full-0022-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v6/nvidia/tokenizer_config.json
junhua024-chai-19cl-full-0022-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v6/nvidia/tokenizer.json
junhua024-chai-19cl-full-0022-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v6/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-19cl-full-0022-v6-mkmlizer completed after 302.95s with status: succeeded
Stopping job with name junhua024-chai-19cl-full-0022-v6-mkmlizer
Pipeline stage MKMLizer completed in 303.92s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-19cl-full-0022-v6
Waiting for inference service junhua024-chai-19cl-full-0022-v6 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)
Failed to get response for submission chaiml-gy-exp245-sft-gr_23120_v2: HTTPConnectionPool(host='chaiml-gy-exp245-sft-gr-23120-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Tearing down inference service junhua024-chai-19cl-full-0022-v6
%s, retrying in %s seconds...
Creating inference service junhua024-chai-19cl-full-0022-v6
Waiting for inference service junhua024-chai-19cl-full-0022-v6 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)
Inference service junhua024-chai-19cl-full-0022-v6 ready after 171.38645005226135s
Pipeline stage MKMLDeployer completed in 775.56s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3866825103759766s
Received healthy response to inference request in 2.402040719985962s
Received healthy response to inference request in 1.7368593215942383s
Received healthy response to inference request in 1.7304067611694336s
Received healthy response to inference request in 2.739670991897583s
5 requests
0 failed requests
5th percentile: 1.7316972732543945
10th percentile: 1.7329877853393554
20th percentile: 1.7355688095092774
30th percentile: 1.866823959350586
40th percentile: 2.126753234863281
50th percentile: 2.3866825103759766
60th percentile: 2.392825794219971
70th percentile: 2.3989690780639648
80th percentile: 2.4695667743682863
90th percentile: 2.6046188831329347
95th percentile: 2.6721449375152586
99th percentile: 2.726165781021118
mean time: 2.1991320610046388
Pipeline stage StressChecker completed in 13.38s
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 0.73s
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 0.65s
Shutdown handler de-registered
junhua024-chai-19cl-full-0022_v6 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 0.26s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-19cl-full-0022-v6-profiler
Waiting for inference service junhua024-chai-19cl-full-0022-v6-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 2742.51s
Shutdown handler de-registered
junhua024-chai-19cl-full-0022_v6 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19cl-full-0022_v6 status is now torndown due to DeploymentManager action