developer_uid: zmeeks
submission_id: zmeeks-capitanito-28_v3
model_name: capitanito_t25_zunkd__28__ppmmp
model_group: zmeeks/capitanito__28
status: torndown
timestamp: 2025-07-12T19:26:47+00:00
num_battles: 8632
num_wins: 3906
celo_rating: 1247.08
family_friendly_score: 0.5682
family_friendly_standard_error: 0.0070049805138915275
submission_type: basic
model_repo: zmeeks/capitanito__28
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': 0.6002543843683746, 'latency_mean': 1.665855883359909, 'latency_p50': 1.6681959629058838, 'latency_p90': 1.8353053092956544}, {'batch_size': 3, 'throughput': 1.0814150273389955, 'latency_mean': 2.764024257659912, 'latency_p50': 2.773031711578369, 'latency_p90': 2.997676730155945}, {'batch_size': 5, 'throughput': 1.2984309214210759, 'latency_mean': 3.8337936115264895, 'latency_p50': 3.8478106260299683, 'latency_p90': 4.324764513969422}, {'batch_size': 6, 'throughput': 1.3654790933371364, 'latency_mean': 4.36966622710228, 'latency_p50': 4.389493107795715, 'latency_p90': 4.896099805831909}, {'batch_size': 8, 'throughput': 1.418786171626012, 'latency_mean': 5.602973065376282, 'latency_p50': 5.574696183204651, 'latency_p90': 6.252471017837524}, {'batch_size': 10, 'throughput': 1.4534960065605236, 'latency_mean': 6.842034178972244, 'latency_p50': 6.8678635358810425, 'latency_p90': 7.800156736373901}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: capitanito_t25_zunkd__28__ppmmp
is_internal_developer: False
language_model: zmeeks/capitanito__28
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-12
win_ratio: 0.4525023169601483
generation_params: {'temperature': 1.25, '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': True}
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 zmeeks-capitanito-28-v3-mkmlizer
Waiting for job on zmeeks-capitanito-28-v3-mkmlizer to finish
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zmeeks-capitanito-28-v3-mkmlizer: ║ ║
zmeeks-capitanito-28-v3-mkmlizer: ║ Version: 0.29.15 ║
zmeeks-capitanito-28-v3-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
zmeeks-capitanito-28-v3-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
zmeeks-capitanito-28-v3-mkmlizer: ║ https://mk1.ai ║
zmeeks-capitanito-28-v3-mkmlizer: ║ ║
zmeeks-capitanito-28-v3-mkmlizer: ║ The license key for the current software has been verified as ║
zmeeks-capitanito-28-v3-mkmlizer: ║ belonging to: ║
zmeeks-capitanito-28-v3-mkmlizer: ║ ║
zmeeks-capitanito-28-v3-mkmlizer: ║ Chai Research Corp. ║
zmeeks-capitanito-28-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zmeeks-capitanito-28-v3-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
zmeeks-capitanito-28-v3-mkmlizer: ║ ║
zmeeks-capitanito-28-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-28-v3-mkmlizer: Downloaded to shared memory in 28.886s
zmeeks-capitanito-28-v3-mkmlizer: Checking if zmeeks/capitanito__28 already exists in ChaiML
zmeeks-capitanito-28-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_y143gvf, device:0
zmeeks-capitanito-28-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-28-v3-mkmlizer: quantized model in 30.976s
zmeeks-capitanito-28-v3-mkmlizer: Processed model zmeeks/capitanito__28 in 59.945s
zmeeks-capitanito-28-v3-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-28-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-28-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-28-v3/nvidia
zmeeks-capitanito-28-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-28-v3/nvidia/config.json
zmeeks-capitanito-28-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-28-v3/nvidia/special_tokens_map.json
zmeeks-capitanito-28-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-28-v3/nvidia/tokenizer_config.json
zmeeks-capitanito-28-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-28-v3/nvidia/tokenizer.json
zmeeks-capitanito-28-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-28-v3/nvidia/flywheel_model.0.safetensors
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Job zmeeks-capitanito-28-v3-mkmlizer completed after 84.46s with status: succeeded
Stopping job with name zmeeks-capitanito-28-v3-mkmlizer
Pipeline stage MKMLizer completed in 84.94s
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Creating inference service zmeeks-capitanito-28-v3
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Inference service zmeeks-capitanito-28-v3 ready after 220.73823356628418s
Pipeline stage MKMLDeployer completed in 221.31s
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Received healthy response to inference request in 1.5869989395141602s
Received healthy response to inference request in 1.5665476322174072s
Received healthy response to inference request in 1.8929331302642822s
Received healthy response to inference request in 1.1455235481262207s
5 requests
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5th percentile: 1.229728364944458
10th percentile: 1.3139331817626954
20th percentile: 1.48234281539917
30th percentile: 1.5706378936767578
40th percentile: 1.578818416595459
50th percentile: 1.5869989395141602
60th percentile: 1.709372615814209
70th percentile: 1.8317462921142578
80th percentile: 2.0197989463806154
90th percentile: 2.2735305786132813
95th percentile: 2.400396394729614
99th percentile: 2.5018890476226807
mean time: 1.7438530921936035
Pipeline stage StressChecker completed in 9.86s
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