zmeeks-capitanito-5

developer_uid: zmeeks

submission_id: zmeeks-capitanito-5_v1

model_name: capitanito_t11__5

model_group: zmeeks/capitanito__5

status: torndown

timestamp: 2025-07-11T06:30:20+00:00

num_battles: 8329

num_wins: 3678

celo_rating: 1244.74

family_friendly_score: 0.5731999999999999

family_friendly_standard_error: 0.00699488041355962

submission_type: basic

model_repo: zmeeks/capitanito__5

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': 0.588761549655614, 'latency_mean': 1.6982966697216033, 'latency_p50': 1.700592041015625, 'latency_p90': 1.8707674741744995}, {'batch_size': 3, 'throughput': 1.0540333830069828, 'latency_mean': 2.8361895370483396, 'latency_p50': 2.8443366289138794, 'latency_p90': 3.0731902360916137}, {'batch_size': 5, 'throughput': 1.2564184053405307, 'latency_mean': 3.957167545557022, 'latency_p50': 3.9634807109832764, 'latency_p90': 4.36649227142334}, {'batch_size': 6, 'throughput': 1.3307371921192508, 'latency_mean': 4.488155484199524, 'latency_p50': 4.51979672908783, 'latency_p90': 4.984812092781067}, {'batch_size': 8, 'throughput': 1.3858116690511098, 'latency_mean': 5.737115160226822, 'latency_p50': 5.727359294891357, 'latency_p90': 6.49966070652008}, {'batch_size': 10, 'throughput': 1.409369988660871, 'latency_mean': 7.037402000427246, 'latency_p50': 7.076627850532532, 'latency_p90': 7.790264153480529}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: capitanito_t11__5

is_internal_developer: False

language_model: zmeeks/capitanito__5

model_size: 13B

ranking_group: single

throughput_3p7s: 1.23

us_pacific_date: 2025-07-10

win_ratio: 0.44158962660583506

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-5-v1-mkmlizer
Waiting for job on zmeeks-capitanito-5-v1-mkmlizer to finish
zmeeks-capitanito-5-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zmeeks-capitanito-5-v1-mkmlizer: ║                                                                     ║
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zmeeks-capitanito-5-v1-mkmlizer: ║                                                                     ║
zmeeks-capitanito-5-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
zmeeks-capitanito-5-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
zmeeks-capitanito-5-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
zmeeks-capitanito-5-v1-mkmlizer: ║  https://mk1.ai                                                     ║
zmeeks-capitanito-5-v1-mkmlizer: ║                                                                     ║
zmeeks-capitanito-5-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
zmeeks-capitanito-5-v1-mkmlizer: ║  belonging to:                                                      ║
zmeeks-capitanito-5-v1-mkmlizer: ║                                                                     ║
zmeeks-capitanito-5-v1-mkmlizer: ║  Chai Research Corp.                                                ║
zmeeks-capitanito-5-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zmeeks-capitanito-5-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
zmeeks-capitanito-5-v1-mkmlizer: ║                                                                     ║
zmeeks-capitanito-5-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-5-v1-mkmlizer: Downloaded to shared memory in 44.129s
zmeeks-capitanito-5-v1-mkmlizer: Checking if zmeeks/capitanito__5 already exists in ChaiML
zmeeks-capitanito-5-v1-mkmlizer: Creating repo ChaiML/capitanito__5 and uploading /tmp/tmps7__5m_h to it
zmeeks-capitanito-5-v1-mkmlizer: 
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zmeeks-capitanito-5-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmps7__5m_h, device:0
zmeeks-capitanito-5-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-5-v1-mkmlizer: quantized model in 31.422s
zmeeks-capitanito-5-v1-mkmlizer: Processed model zmeeks/capitanito__5 in 134.748s
zmeeks-capitanito-5-v1-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-5-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-5-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-5-v1/nvidia
zmeeks-capitanito-5-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-5-v1/nvidia/special_tokens_map.json
zmeeks-capitanito-5-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-5-v1/nvidia/config.json
zmeeks-capitanito-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-5-v1/nvidia/tokenizer_config.json
zmeeks-capitanito-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-5-v1/nvidia/tokenizer.json
zmeeks-capitanito-5-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-5-v1/nvidia/flywheel_model.0.safetensors
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Job zmeeks-capitanito-5-v1-mkmlizer completed after 166.74s with status: succeeded
Stopping job with name zmeeks-capitanito-5-v1-mkmlizer
Pipeline stage MKMLizer completed in 167.36s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service zmeeks-capitanito-5-v1
Waiting for inference service zmeeks-capitanito-5-v1 to be ready
Inference service zmeeks-capitanito-5-v1 ready after 210.70157980918884s
Pipeline stage MKMLDeployer completed in 211.53s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.622830867767334s
Received healthy response to inference request in 1.1847801208496094s
Received healthy response to inference request in 0.6330118179321289s
Received healthy response to inference request in 1.6801562309265137s
Received healthy response to inference request in 1.486083745956421s
5 requests
0 failed requests
5th percentile: 0.743365478515625
10th percentile: 0.8537191390991211
20th percentile: 1.0744264602661133
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mean time: 1.3213725566864014
Pipeline stage StressChecker completed in 8.13s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Pipeline stage OfflineFamilyFriendlyScorer completed in 5765.13s
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zmeeks-capitanito-5_v1 status is now torndown due to DeploymentManager action