junhua024-chai-19nn9

developer_uid: junhua024
submission_id: junhua024-chai-19nn9_v1
model_name: junhua024-chai-19nn9_v1
model_group: junhua024/chai_19nn9
status: torndown
timestamp: 2025-07-28T20:59:41+00:00
num_battles: 6726
num_wins: 3411
celo_rating: 1275.99
family_friendly_score: 0.521
family_friendly_standard_error: 0.007064828377250222
submission_type: basic
model_repo: junhua024/chai_19nn9
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-19nn9_v1
is_internal_developer: False
language_model: junhua024/chai_19nn9
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5071364852809991
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-19nn9-v1-mkmlizer
Waiting for job on junhua024-chai-19nn9-v1-mkmlizer to finish
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junhua024-chai-19nn9-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-19nn9-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-19nn9-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn9-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19nn9-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19nn9-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19nn9-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19nn9-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn9-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19nn9-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19nn9-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn9-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19nn9-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19nn9-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19nn9-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn9-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-19nn9-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-gy-exp241-sft-gy-_3670_v1: HTTPConnectionPool(host='chaiml-gy-exp241-sft-gy-3670-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-19nn9-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-19nn9-v1-mkmlizer: Downloaded to shared memory in 140.175s
junhua024-chai-19nn9-v1-mkmlizer: Checking if junhua024/chai_19nn9 already exists in ChaiML
junhua024-chai-19nn9-v1-mkmlizer: Creating repo ChaiML/chai_19nn9 and uploading /tmp/tmp3a9j3d2h to it
junhua024-chai-19nn9-v1-mkmlizer: 
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junhua024-chai-19nn9-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp3a9j3d2h, device:0
junhua024-chai-19nn9-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19nn9-v1-mkmlizer: quantized model in 161.647s
junhua024-chai-19nn9-v1-mkmlizer: Processed model junhua024/chai_19nn9 in 389.553s
junhua024-chai-19nn9-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19nn9-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19nn9-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19nn9-v1/nvidia
junhua024-chai-19nn9-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19nn9-v1/nvidia/config.json
junhua024-chai-19nn9-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19nn9-v1/nvidia/special_tokens_map.json
junhua024-chai-19nn9-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19nn9-v1/nvidia/tokenizer_config.json
junhua024-chai-19nn9-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19nn9-v1/nvidia/tokenizer.json
junhua024-chai-19nn9-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19nn9-v1/nvidia/flywheel_model.0.safetensors
Job junhua024-chai-19nn9-v1-mkmlizer completed after 420.91s with status: succeeded
Stopping job with name junhua024-chai-19nn9-v1-mkmlizer
Pipeline stage MKMLizer completed in 421.50s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
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Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-19nn9-v1
Waiting for inference service junhua024-chai-19nn9-v1 to be ready
Failed to get response for submission junhua024-chai-19cl-full-0022_v7: HTTPConnectionPool(host='junhua024-chai-19cl-full-0022-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-12-full-20_v5: HTTPConnectionPool(host='junhua024-chai-12-full-20-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-19nn9-v1 ready after 231.09824657440186s
Pipeline stage MKMLDeployer completed in 231.62s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.3983042240142822s
Received healthy response to inference request in 1.9246857166290283s
Received healthy response to inference request in 1.6562988758087158s
Received healthy response to inference request in 2.814969062805176s
Received healthy response to inference request in 1.9030702114105225s
5 requests
0 failed requests
5th percentile: 1.705653142929077
10th percentile: 1.7550074100494384
20th percentile: 1.8537159442901612
30th percentile: 1.9073933124542237
40th percentile: 1.916039514541626
50th percentile: 1.9246857166290283
60th percentile: 2.280799055099487
70th percentile: 2.636912393569946
80th percentile: 2.931636095046997
90th percentile: 3.1649701595306396
95th percentile: 3.281637191772461
99th percentile: 3.374970817565918
mean time: 2.339465618133545
Pipeline stage StressChecker completed in 13.36s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.73s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 1.06s
Shutdown handler de-registered
junhua024-chai-19nn9_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-19nn9-v1-profiler
Waiting for inference service junhua024-chai-19nn9-v1-profiler to be ready
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3895.20s
Shutdown handler de-registered
junhua024-chai-19nn9_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19nn9_v1 status is now torndown due to DeploymentManager action