developer_uid: zmeeks
submission_id: zmeeks-capitanito-38_v3
model_name: capitanito_t975__38__ppmmp
model_group: zmeeks/capitanito__38
status: torndown
timestamp: 2025-07-14T05:30:42+00:00
num_battles: 6463
num_wins: 3082
celo_rating: 1257.58
family_friendly_score: 0.5811999999999999
family_friendly_standard_error: 0.006977199438170017
submission_type: basic
model_repo: zmeeks/capitanito__38
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5995201229277655, 'latency_mean': 1.667821115255356, 'latency_p50': 1.658760905265808, 'latency_p90': 1.8418340444564818}, {'batch_size': 3, 'throughput': 1.0723667156352976, 'latency_mean': 2.7835009610652923, 'latency_p50': 2.7803804874420166, 'latency_p90': 3.0807698011398315}, {'batch_size': 5, 'throughput': 1.290376629746352, 'latency_mean': 3.8535263550281527, 'latency_p50': 3.8302029371261597, 'latency_p90': 4.319130277633667}, {'batch_size': 6, 'throughput': 1.3523201375750917, 'latency_mean': 4.414153535366058, 'latency_p50': 4.41691529750824, 'latency_p90': 4.93883695602417}, {'batch_size': 8, 'throughput': 1.4102488194439393, 'latency_mean': 5.636782624721527, 'latency_p50': 5.658270716667175, 'latency_p90': 6.308377933502197}, {'batch_size': 10, 'throughput': 1.4518419980721842, 'latency_mean': 6.83466411948204, 'latency_p50': 6.840587496757507, 'latency_p90': 7.769359230995178}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: capitanito_t975__38__ppmmp
is_internal_developer: False
language_model: zmeeks/capitanito__38
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-13
win_ratio: 0.47686832740213525
generation_params: {'temperature': 0.975, '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-38-v3-mkmlizer
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zmeeks-capitanito-38-v3-mkmlizer: ║                                                                     ║
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zmeeks-capitanito-38-v3-mkmlizer: ║                                                                     ║
zmeeks-capitanito-38-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
zmeeks-capitanito-38-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
zmeeks-capitanito-38-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
zmeeks-capitanito-38-v3-mkmlizer: ║  https://mk1.ai                                                     ║
zmeeks-capitanito-38-v3-mkmlizer: ║                                                                     ║
zmeeks-capitanito-38-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
zmeeks-capitanito-38-v3-mkmlizer: ║  belonging to:                                                      ║
zmeeks-capitanito-38-v3-mkmlizer: ║                                                                     ║
zmeeks-capitanito-38-v3-mkmlizer: ║  Chai Research Corp.                                                ║
zmeeks-capitanito-38-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zmeeks-capitanito-38-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
zmeeks-capitanito-38-v3-mkmlizer: ║                                                                     ║
zmeeks-capitanito-38-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-38-v3-mkmlizer: Downloaded to shared memory in 38.120s
zmeeks-capitanito-38-v3-mkmlizer: Checking if zmeeks/capitanito__38 already exists in ChaiML
zmeeks-capitanito-38-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmphtjebfzw, device:0
zmeeks-capitanito-38-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-38-v3-mkmlizer: quantized model in 36.865s
zmeeks-capitanito-38-v3-mkmlizer: Processed model zmeeks/capitanito__38 in 75.082s
zmeeks-capitanito-38-v3-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-38-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-38-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-38-v3/nvidia
zmeeks-capitanito-38-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-38-v3/nvidia/config.json
zmeeks-capitanito-38-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-38-v3/nvidia/special_tokens_map.json
zmeeks-capitanito-38-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-38-v3/nvidia/flywheel_model.0.safetensors
Job zmeeks-capitanito-38-v3-mkmlizer completed after 106.27s with status: succeeded
Stopping job with name zmeeks-capitanito-38-v3-mkmlizer
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Inference service zmeeks-capitanito-38-v3 ready after 222.30827808380127s
Pipeline stage MKMLDeployer completed in 222.90s
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Received healthy response to inference request in 1.523636817932129s
Received healthy response to inference request in 1.5456609725952148s
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70th percentile: 1.7329027652740479
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90th percentile: 2.158057928085327
95th percentile: 2.2955665588378906
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Pipeline stage StressChecker completed in 10.33s
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zmeeks-capitanito-38_v3 status is now torndown due to DeploymentManager action