developer_uid: zmeeks
submission_id: zmeeks-capitanito-3_v1
model_name: capitanito_t11__3
model_group: zmeeks/capitanito__3
status: torndown
timestamp: 2025-07-11T05:22:15+00:00
num_battles: 9017
num_wins: 3886
celo_rating: 1234.58
family_friendly_score: 0.5608
family_friendly_standard_error: 0.007018594731140985
submission_type: basic
model_repo: zmeeks/capitanito__3
model_architecture: MistralForCausalLM
model_num_parameters: 12772080640.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5903517946594048, 'latency_mean': 1.693794322013855, 'latency_p50': 1.6976622343063354, 'latency_p90': 1.8741682529449464}, {'batch_size': 3, 'throughput': 1.0667052585576584, 'latency_mean': 2.799780443906784, 'latency_p50': 2.7829949855804443, 'latency_p90': 3.09745032787323}, {'batch_size': 5, 'throughput': 1.2645099880441317, 'latency_mean': 3.942979974746704, 'latency_p50': 3.939287781715393, 'latency_p90': 4.353974652290344}, {'batch_size': 6, 'throughput': 1.3313387954822848, 'latency_mean': 4.482398558855056, 'latency_p50': 4.436025023460388, 'latency_p90': 4.99083571434021}, {'batch_size': 8, 'throughput': 1.390597299479396, 'latency_mean': 5.714535166025161, 'latency_p50': 5.71203076839447, 'latency_p90': 6.541104316711426}, {'batch_size': 10, 'throughput': 1.418678448488552, 'latency_mean': 7.0045826733112335, 'latency_p50': 7.0376914739608765, 'latency_p90': 7.7925989627838135}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: capitanito_t11__3
is_internal_developer: False
language_model: zmeeks/capitanito__3
model_size: 13B
ranking_group: single
throughput_3p7s: 1.24
us_pacific_date: 2025-07-10
win_ratio: 0.43096373516690695
generation_params: {'temperature': 1.1, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 25, '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
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Running pipeline stage MKMLizer
Starting job with name zmeeks-capitanito-3-v1-mkmlizer
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zmeeks-capitanito-3-v1-mkmlizer: ║                                                                     ║
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zmeeks-capitanito-3-v1-mkmlizer: ║                                                                     ║
zmeeks-capitanito-3-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
zmeeks-capitanito-3-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
zmeeks-capitanito-3-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
zmeeks-capitanito-3-v1-mkmlizer: ║  https://mk1.ai                                                     ║
zmeeks-capitanito-3-v1-mkmlizer: ║                                                                     ║
zmeeks-capitanito-3-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
zmeeks-capitanito-3-v1-mkmlizer: ║  belonging to:                                                      ║
zmeeks-capitanito-3-v1-mkmlizer: ║                                                                     ║
zmeeks-capitanito-3-v1-mkmlizer: ║  Chai Research Corp.                                                ║
zmeeks-capitanito-3-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zmeeks-capitanito-3-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
zmeeks-capitanito-3-v1-mkmlizer: ║                                                                     ║
zmeeks-capitanito-3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-3-v1-mkmlizer: Downloaded to shared memory in 43.012s
zmeeks-capitanito-3-v1-mkmlizer: Checking if zmeeks/capitanito__3 already exists in ChaiML
zmeeks-capitanito-3-v1-mkmlizer: Creating repo ChaiML/capitanito__3 and uploading /tmp/tmp289b5fn0 to it
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zmeeks-capitanito-3-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp289b5fn0, device:0
zmeeks-capitanito-3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-3-v1-mkmlizer: quantized model in 30.722s
zmeeks-capitanito-3-v1-mkmlizer: Processed model zmeeks/capitanito__3 in 118.833s
zmeeks-capitanito-3-v1-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-3-v1/nvidia
zmeeks-capitanito-3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-3-v1/nvidia/config.json
zmeeks-capitanito-3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-3-v1/nvidia/special_tokens_map.json
zmeeks-capitanito-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-3-v1/nvidia/tokenizer_config.json
zmeeks-capitanito-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-3-v1/nvidia/tokenizer.json
zmeeks-capitanito-3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-3-v1/nvidia/flywheel_model.0.safetensors
Job zmeeks-capitanito-3-v1-mkmlizer completed after 146.09s with status: succeeded
Stopping job with name zmeeks-capitanito-3-v1-mkmlizer
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Creating inference service zmeeks-capitanito-3-v1
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Inference service zmeeks-capitanito-3-v1 ready after 211.1024947166443s
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Received healthy response to inference request in 1.5374886989593506s
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zmeeks-capitanito-3_v1 status is now torndown due to DeploymentManager action