zmeeks-capitanito-31

developer_uid: zmeeks

submission_id: zmeeks-capitanito-31_v2

model_name: capitanito_t11__31__ppmmp

model_group: zmeeks/capitanito__31

status: torndown

timestamp: 2025-07-13T04:15:48+00:00

num_battles: 9005

num_wins: 4018

celo_rating: 1246.95

family_friendly_score: 0.5754

family_friendly_standard_error: 0.0069902051472041935

submission_type: basic

model_repo: zmeeks/capitanito__31

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': 0.5937721772707516, 'latency_mean': 1.683959789276123, 'latency_p50': 1.6812258958816528, 'latency_p90': 1.8698491096496581}, {'batch_size': 3, 'throughput': 1.0763801326264688, 'latency_mean': 2.7839544570446013, 'latency_p50': 2.773259997367859, 'latency_p90': 3.076570248603821}, {'batch_size': 5, 'throughput': 1.2928681234143429, 'latency_mean': 3.841633307933807, 'latency_p50': 3.802781581878662, 'latency_p90': 4.364252638816834}, {'batch_size': 6, 'throughput': 1.3530138733516028, 'latency_mean': 4.41109325170517, 'latency_p50': 4.384256720542908, 'latency_p90': 4.968116998672485}, {'batch_size': 8, 'throughput': 1.400188564088401, 'latency_mean': 5.662727448940277, 'latency_p50': 5.669772148132324, 'latency_p90': 6.334239840507507}, {'batch_size': 10, 'throughput': 1.444385039011841, 'latency_mean': 6.85232275724411, 'latency_p50': 6.903288125991821, 'latency_p90': 7.760604619979858}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: capitanito_t11__31__ppmmp

is_internal_developer: False

language_model: zmeeks/capitanito__31

model_size: 13B

ranking_group: single

throughput_3p7s: 1.28

us_pacific_date: 2025-07-12

win_ratio: 0.4461965574680733

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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name zmeeks-capitanito-31-v2-mkmlizer
Waiting for job on zmeeks-capitanito-31-v2-mkmlizer to finish
zmeeks-capitanito-31-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zmeeks-capitanito-31-v2-mkmlizer: ║                                                                     ║
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zmeeks-capitanito-31-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
zmeeks-capitanito-31-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
zmeeks-capitanito-31-v2-mkmlizer: ║                                                                     ║
zmeeks-capitanito-31-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
zmeeks-capitanito-31-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
zmeeks-capitanito-31-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
zmeeks-capitanito-31-v2-mkmlizer: ║  https://mk1.ai                                                     ║
zmeeks-capitanito-31-v2-mkmlizer: ║                                                                     ║
zmeeks-capitanito-31-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
zmeeks-capitanito-31-v2-mkmlizer: ║  belonging to:                                                      ║
zmeeks-capitanito-31-v2-mkmlizer: ║                                                                     ║
zmeeks-capitanito-31-v2-mkmlizer: ║  Chai Research Corp.                                                ║
zmeeks-capitanito-31-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zmeeks-capitanito-31-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
zmeeks-capitanito-31-v2-mkmlizer: ║                                                                     ║
zmeeks-capitanito-31-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-31-v2-mkmlizer: Downloaded to shared memory in 30.430s
zmeeks-capitanito-31-v2-mkmlizer: Checking if zmeeks/capitanito__31 already exists in ChaiML
zmeeks-capitanito-31-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpscqje5ck, device:0
zmeeks-capitanito-31-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-31-v2-mkmlizer: quantized model in 29.808s
zmeeks-capitanito-31-v2-mkmlizer: Processed model zmeeks/capitanito__31 in 60.324s
zmeeks-capitanito-31-v2-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-31-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-31-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-31-v2/nvidia
zmeeks-capitanito-31-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-31-v2/nvidia/config.json
zmeeks-capitanito-31-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-31-v2/nvidia/special_tokens_map.json
zmeeks-capitanito-31-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-31-v2/nvidia/tokenizer_config.json
zmeeks-capitanito-31-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-31-v2/nvidia/tokenizer.json
zmeeks-capitanito-31-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-31-v2/nvidia/flywheel_model.0.safetensors
zmeeks-capitanito-31-v2-mkmlizer: 
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Job zmeeks-capitanito-31-v2-mkmlizer completed after 84.75s with status: succeeded
Stopping job with name zmeeks-capitanito-31-v2-mkmlizer
Pipeline stage MKMLizer completed in 85.25s
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Pipeline stage MKMLTemplater completed in 0.19s
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Running pipeline stage MKMLDeployer
Creating inference service zmeeks-capitanito-31-v2
Waiting for inference service zmeeks-capitanito-31-v2 to be ready
Inference service zmeeks-capitanito-31-v2 ready after 381.3912274837494s
Pipeline stage MKMLDeployer completed in 381.91s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3081188201904297s
Received healthy response to inference request in 1.8163578510284424s
Received healthy response to inference request in 1.4133045673370361s
Received healthy response to inference request in 1.595045566558838s
Received healthy response to inference request in 1.3513054847717285s
5 requests
0 failed requests
5th percentile: 1.36370530128479
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90th percentile: 2.1114144325256348
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99th percentile: 2.28844838142395
mean time: 1.696826457977295
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Creating inference service zmeeks-capitanito-31-v2-profiler
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Inference service zmeeks-capitanito-31-v2-profiler ready after 272.96159076690674s
Pipeline stage MKMLProfilerDeployer completed in 273.79s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zmeeks-capitanito-31-v2-profiler-predictor-00001-deploymenjk927:/code/chaiverse_profiler_1752380964 --namespace tenant-chaiml-guanaco
kubectl exec -it zmeeks-capitanito-31-v2-profiler-predictor-00001-deploymenjk927 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1752380964 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1752380964/summary.json'
kubectl exec -it zmeeks-capitanito-31-v2-profiler-predictor-00001-deploymenjk927 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1752380964/summary.json'
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2550.49s
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zmeeks-capitanito-31_v2 status is now inactive due to auto deactivation removed underperforming models
zmeeks-capitanito-31_v2 status is now torndown due to DeploymentManager action