junhua024-chai-12-full-06-02

developer_uid: junhua024
submission_id: junhua024-chai-12-full-06-02_v1
model_name: junhua024-chai-12-full-06-02_v1
model_group: junhua024/chai_12_full_0
status: torndown
timestamp: 2025-07-27T08:46:16+00:00
num_battles: 6462
num_wins: 1762
celo_rating: 1076.83
family_friendly_score: 0.8342
family_friendly_standard_error: 0.0052594744984646525
submission_type: basic
model_repo: junhua024/chai_12_full_06_02
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-12-full-06-02_v1
is_internal_developer: False
language_model: junhua024/chai_12_full_06_02
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-27
win_ratio: 0.2726709996904983
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.0, '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-12-full-06-02-v1-mkmlizer
Waiting for job on junhua024-chai-12-full-06-02-v1-mkmlizer to finish
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junhua024-chai-12-full-06-02-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-06-02-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-12-full-06-02-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-02-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-06-02-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-06-02-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-06-02-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-06-02-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-02-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-06-02-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-06-02-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-02-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-06-02-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-06-02-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-06-02-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-02-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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`
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
junhua024-chai-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-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-12-full-06-02-v1-mkmlizer: Downloaded to shared memory in 125.553s
junhua024-chai-12-full-06-02-v1-mkmlizer: Checking if junhua024/chai_12_full_06_02 already exists in ChaiML
junhua024-chai-12-full-06-02-v1-mkmlizer: Creating repo ChaiML/chai_12_full_06_02 and uploading /tmp/tmpkhm4pa6k to it
Failed to get response for submission chaiml-gy-exp236-sft-gy_42234_v1: HTTPConnectionPool(host='chaiml-gy-exp236-sft-gy-42234-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-12-full-06-02-v1-mkmlizer: 
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junhua024-chai-12-full-06-02-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpkhm4pa6k, device:0
junhua024-chai-12-full-06-02-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-06-02-v1-mkmlizer: quantized model in 162.623s
junhua024-chai-12-full-06-02-v1-mkmlizer: Processed model junhua024/chai_12_full_06_02 in 363.688s
junhua024-chai-12-full-06-02-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-06-02-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-06-02-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-06-02-v1/nvidia
junhua024-chai-12-full-06-02-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-02-v1/nvidia/config.json
junhua024-chai-12-full-06-02-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-02-v1/nvidia/special_tokens_map.json
junhua024-chai-12-full-06-02-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-02-v1/nvidia/tokenizer_config.json
junhua024-chai-12-full-06-02-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-02-v1/nvidia/tokenizer.json
junhua024-chai-12-full-06-02-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-06-02-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-06-02-v1-mkmlizer completed after 385.77s with status: succeeded
Stopping job with name junhua024-chai-12-full-06-02-v1-mkmlizer
Pipeline stage MKMLizer completed in 386.30s
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-12-full-06-02-v1
Waiting for inference service junhua024-chai-12-full-06-02-v1 to be ready
Failed to get response for submission chaiml-gy-exp236-sft-gy_42234_v1: HTTPConnectionPool(host='chaiml-gy-exp236-sft-gy-42234-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-12-full-06-02-v1 ready after 191.07512998580933s
Pipeline stage MKMLDeployer completed in 191.96s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.020336151123047s
Received healthy response to inference request in 1.0693187713623047s
Received healthy response to inference request in 0.40082812309265137s
Received healthy response to inference request in 0.8512918949127197s
Received healthy response to inference request in 1.3313846588134766s
5 requests
0 failed requests
5th percentile: 0.490920877456665
10th percentile: 0.5810136318206787
20th percentile: 0.7611991405487061
30th percentile: 0.8948972702026368
40th percentile: 0.9821080207824707
50th percentile: 1.0693187713623047
60th percentile: 1.1741451263427733
70th percentile: 1.2789714813232422
80th percentile: 1.4691749572753907
90th percentile: 1.7447555541992188
95th percentile: 1.8825458526611327
99th percentile: 1.992778091430664
mean time: 1.1346319198608399
Pipeline stage StressChecker completed in 9.62s
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 1.10s
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 0.77s
Shutdown handler de-registered
junhua024-chai-12-full-06-02_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 0.17s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-12-full-06-02-v1-profiler
Waiting for inference service junhua024-chai-12-full-06-02-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2281.41s
Shutdown handler de-registered
junhua024-chai-12-full-06-02_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-06-02_v1 status is now torndown due to DeploymentManager action