junhua024-chai-19cl-full-0022

developer_uid: junhua024
submission_id: junhua024-chai-19cl-full-0022_v4
model_name: junhua024-chai-19cl-full-0022_v4
model_group: junhua024/chai_19cl-full
status: torndown
timestamp: 2025-07-28T06:03:44+00:00
num_battles: 6901
num_wins: 3714
celo_rating: 1288.35
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_v4
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: 0.5381828720475293
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-19cl-full-0022-v4-mkmlizer
Waiting for job on junhua024-chai-19cl-full-0022-v4-mkmlizer to finish
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junhua024-chai-19cl-full-0022-v4-mkmlizer: ║                                                                     ║
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junhua024-chai-19cl-full-0022-v4-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v4-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19cl-full-0022-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19cl-full-0022-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19cl-full-0022-v4-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19cl-full-0022-v4-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19cl-full-0022-v4-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19cl-full-0022-v4-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v4-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19cl-full-0022-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19cl-full-0022-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19cl-full-0022-v4-mkmlizer: ║                                                                     ║
junhua024-chai-19cl-full-0022-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19cl-full-0022-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-mkmlizer: Downloaded to shared memory in 106.718s
junhua024-chai-19cl-full-0022-v4-mkmlizer: Checking if junhua024/chai_19cl-full_0022 already exists in ChaiML
junhua024-chai-19cl-full-0022-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpv_l8a14w, device:0
junhua024-chai-19cl-full-0022-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19cl-full-0022-v4-mkmlizer: quantized model in 185.983s
junhua024-chai-19cl-full-0022-v4-mkmlizer: Processed model junhua024/chai_19cl-full_0022 in 292.744s
junhua024-chai-19cl-full-0022-v4-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19cl-full-0022-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19cl-full-0022-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v4/nvidia
junhua024-chai-19cl-full-0022-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v4/nvidia/config.json
junhua024-chai-19cl-full-0022-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v4/nvidia/special_tokens_map.json
junhua024-chai-19cl-full-0022-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v4/nvidia/tokenizer_config.json
junhua024-chai-19cl-full-0022-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v4/nvidia/tokenizer.json
junhua024-chai-19cl-full-0022-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19cl-full-0022-v4/nvidia/flywheel_model.0.safetensors
junhua024-chai-19cl-full-0022-v4-mkmlizer: 
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Job junhua024-chai-19cl-full-0022-v4-mkmlizer completed after 312.37s with status: succeeded
Stopping job with name junhua024-chai-19cl-full-0022-v4-mkmlizer
Pipeline stage MKMLizer completed in 314.06s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.42s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-19cl-full-0022-v4
Waiting for inference service junhua024-chai-19cl-full-0022-v4 to be ready
Inference service junhua024-chai-19cl-full-0022-v4 ready after 201.0879671573639s
Pipeline stage MKMLDeployer completed in 202.25s
run pipeline stage %s
Running pipeline stage StressChecker
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 2.8323237895965576s
Received healthy response to inference request in 2.934945821762085s
Received healthy response to inference request in 2.4678430557250977s
Received healthy response to inference request in 2.468106508255005s
5 requests
1 failed requests
5th percentile: 2.467895746231079
10th percentile: 2.4679484367370605
20th percentile: 2.4680538177490234
30th percentile: 2.5409499645233153
40th percentile: 2.6866368770599367
50th percentile: 2.8323237895965576
60th percentile: 2.8733726024627684
70th percentile: 2.9144214153289796
80th percentile: 6.378103494644169
90th percentile: 13.264418840408327
95th percentile: 16.7075765132904
99th percentile: 19.46210265159607
mean time: 6.170790672302246
%s, retrying in %s seconds...
Received healthy response to inference request in 1.341188669204712s
Received healthy response to inference request in 1.6878125667572021s
Received healthy response to inference request in 1.7073605060577393s
Received healthy response to inference request in 2.7937681674957275s
Received healthy response to inference request in 2.5864384174346924s
5 requests
0 failed requests
5th percentile: 1.41051344871521
10th percentile: 1.479838228225708
20th percentile: 1.618487787246704
30th percentile: 1.6917221546173096
40th percentile: 1.6995413303375244
50th percentile: 1.7073605060577393
60th percentile: 2.0589916706085205
70th percentile: 2.4106228351593018
80th percentile: 2.6279043674468996
90th percentile: 2.7108362674713136
95th percentile: 2.7523022174835203
99th percentile: 2.785474977493286
mean time: 2.0233136653900146
Pipeline stage StressChecker completed in 44.52s
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 0.74s
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-19cl-full-0022_v4 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 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-19cl-full-0022-v4-profiler
Waiting for inference service junhua024-chai-19cl-full-0022-v4-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 4491.38s
Shutdown handler de-registered
junhua024-chai-19cl-full-0022_v4 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19cl-full-0022_v4 status is now torndown due to DeploymentManager action