junhua024-chai-19dpcmcl

developer_uid: junhua024
submission_id: junhua024-chai-19dpcmcl_v1
model_name: junhua024-chai-19dpcmcl_v1
model_group: junhua024/chai_19dpcmcl
status: torndown
timestamp: 2025-07-28T21:44:55+00:00
num_battles: 5979
num_wins: 3134
celo_rating: 1287.82
family_friendly_score: 0.5174000000000001
family_friendly_standard_error: 0.007066784841779181
submission_type: basic
model_repo: junhua024/chai_19dpcmcl
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-19dpcmcl_v1
is_internal_developer: False
language_model: junhua024/chai_19dpcmcl
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5241679210570329
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-19dpcmcl-v1-mkmlizer
Waiting for job on junhua024-chai-19dpcmcl-v1-mkmlizer to finish
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junhua024-chai-19dpcmcl-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-19dpcmcl-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19dpcmcl-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19dpcmcl-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19dpcmcl-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19dpcmcl-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19dpcmcl-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19dpcmcl-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19dpcmcl-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19dpcmcl-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19dpcmcl-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19dpcmcl-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19dpcmcl-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19dpcmcl-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19dpcmcl-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-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-chai-19dpcmcl-v1-mkmlizer: Downloaded to shared memory in 138.671s
junhua024-chai-19dpcmcl-v1-mkmlizer: Checking if junhua024/chai_19dpcmcl already exists in ChaiML
junhua024-chai-19dpcmcl-v1-mkmlizer: Creating repo ChaiML/chai_19dpcmcl and uploading /tmp/tmpn2ocrx8f to it
junhua024-chai-19dpcmcl-v1-mkmlizer: 
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junhua024-chai-19dpcmcl-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpn2ocrx8f, device:0
junhua024-chai-19dpcmcl-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19dpcmcl-v1-mkmlizer: quantized model in 161.193s
junhua024-chai-19dpcmcl-v1-mkmlizer: Processed model junhua024/chai_19dpcmcl in 384.522s
junhua024-chai-19dpcmcl-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19dpcmcl-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19dpcmcl-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19dpcmcl-v1/nvidia
junhua024-chai-19dpcmcl-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19dpcmcl-v1/nvidia/config.json
junhua024-chai-19dpcmcl-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19dpcmcl-v1/nvidia/special_tokens_map.json
junhua024-chai-19dpcmcl-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19dpcmcl-v1/nvidia/tokenizer_config.json
junhua024-chai-19dpcmcl-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19dpcmcl-v1/nvidia/tokenizer.json
junhua024-chai-19dpcmcl-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19dpcmcl-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-19dpcmcl-v1-mkmlizer: 
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Job junhua024-chai-19dpcmcl-v1-mkmlizer completed after 408.9s with status: succeeded
Stopping job with name junhua024-chai-19dpcmcl-v1-mkmlizer
Pipeline stage MKMLizer completed in 409.51s
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-19dpcmcl-v1
Waiting for inference service junhua024-chai-19dpcmcl-v1 to be ready
Inference service junhua024-chai-19dpcmcl-v1 ready after 231.0764558315277s
Pipeline stage MKMLDeployer completed in 231.66s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5146007537841797s
Received healthy response to inference request in 1.376924991607666s
Received healthy response to inference request in 1.7048802375793457s
Received healthy response to inference request in 1.4431953430175781s
Received healthy response to inference request in 2.6519317626953125s
5 requests
0 failed requests
5th percentile: 1.3901790618896483
10th percentile: 1.403433132171631
20th percentile: 1.4299412727355958
30th percentile: 1.4955323219299317
40th percentile: 1.6002062797546386
50th percentile: 1.7048802375793457
60th percentile: 2.028768444061279
70th percentile: 2.3526566505432127
80th percentile: 2.542066955566406
90th percentile: 2.5969993591308596
95th percentile: 2.624465560913086
99th percentile: 2.646438522338867
mean time: 1.9383066177368165
Pipeline stage StressChecker completed in 11.54s
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 0.74s
Shutdown handler de-registered
junhua024-chai-19dpcmcl_v1 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-19dpcmcl-v1-profiler
Waiting for inference service junhua024-chai-19dpcmcl-v1-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5602.32s
Shutdown handler de-registered
junhua024-chai-19dpcmcl_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19dpcmcl_v1 status is now torndown due to DeploymentManager action