developer_uid: zmeeks
submission_id: zmeeks-capitanito-35_v1
model_name: capitanito_t10__35__ppmmp
model_group: zmeeks/capitanito__35
status: torndown
timestamp: 2025-07-13T19:51:15+00:00
num_battles: 9767
num_wins: 4518
celo_rating: 1260.35
family_friendly_score: 0.5853999999999999
family_friendly_standard_error: 0.006967163554847841
submission_type: basic
model_repo: zmeeks/capitanito__35
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': 0.6049350526551017, 'latency_mean': 1.6529623186588287, 'latency_p50': 1.6474874019622803, 'latency_p90': 1.8282884359359741}, {'batch_size': 3, 'throughput': 1.0923150954804701, 'latency_mean': 2.738716608285904, 'latency_p50': 2.737437129020691, 'latency_p90': 2.9862510919570924}, {'batch_size': 5, 'throughput': 1.294483901283424, 'latency_mean': 3.8430325889587404, 'latency_p50': 3.827984929084778, 'latency_p90': 4.293547487258911}, {'batch_size': 6, 'throughput': 1.3475861977630643, 'latency_mean': 4.413294794559479, 'latency_p50': 4.430729866027832, 'latency_p90': 4.942170095443726}, {'batch_size': 8, 'throughput': 1.4118815656717874, 'latency_mean': 5.621981930732727, 'latency_p50': 5.615500330924988, 'latency_p90': 6.280867600440979}, {'batch_size': 10, 'throughput': 1.4293719122999327, 'latency_mean': 6.9326242828369145, 'latency_p50': 6.953212857246399, 'latency_p90': 7.8289008140563965}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: capitanito_t10__35__ppmmp
is_internal_developer: False
language_model: zmeeks/capitanito__35
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-13
win_ratio: 0.4625780690078837
generation_params: {'temperature': 1.0, '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-35-v1-mkmlizer
Waiting for job on zmeeks-capitanito-35-v1-mkmlizer to finish
zmeeks-capitanito-35-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zmeeks-capitanito-35-v1-mkmlizer: ║                                                                     ║
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zmeeks-capitanito-35-v1-mkmlizer: ║                                                                     ║
zmeeks-capitanito-35-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
zmeeks-capitanito-35-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
zmeeks-capitanito-35-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
zmeeks-capitanito-35-v1-mkmlizer: ║  https://mk1.ai                                                     ║
zmeeks-capitanito-35-v1-mkmlizer: ║                                                                     ║
zmeeks-capitanito-35-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
zmeeks-capitanito-35-v1-mkmlizer: ║  belonging to:                                                      ║
zmeeks-capitanito-35-v1-mkmlizer: ║                                                                     ║
zmeeks-capitanito-35-v1-mkmlizer: ║  Chai Research Corp.                                                ║
zmeeks-capitanito-35-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zmeeks-capitanito-35-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
zmeeks-capitanito-35-v1-mkmlizer: ║                                                                     ║
zmeeks-capitanito-35-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-35-v1-mkmlizer: Downloaded to shared memory in 42.484s
zmeeks-capitanito-35-v1-mkmlizer: Checking if zmeeks/capitanito__35 already exists in ChaiML
zmeeks-capitanito-35-v1-mkmlizer: Creating repo ChaiML/capitanito__35 and uploading /tmp/tmpbrina7sj to it
zmeeks-capitanito-35-v1-mkmlizer: 
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zmeeks-capitanito-35-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpbrina7sj, device:0
zmeeks-capitanito-35-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-35-v1-mkmlizer: quantized model in 30.750s
zmeeks-capitanito-35-v1-mkmlizer: Processed model zmeeks/capitanito__35 in 124.777s
zmeeks-capitanito-35-v1-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-35-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-35-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-35-v1/nvidia
zmeeks-capitanito-35-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-35-v1/nvidia/config.json
zmeeks-capitanito-35-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-35-v1/nvidia/special_tokens_map.json
zmeeks-capitanito-35-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-35-v1/nvidia/tokenizer_config.json
zmeeks-capitanito-35-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-35-v1/nvidia/tokenizer.json
zmeeks-capitanito-35-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-35-v1/nvidia/flywheel_model.0.safetensors
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Job zmeeks-capitanito-35-v1-mkmlizer completed after 146.94s with status: succeeded
Stopping job with name zmeeks-capitanito-35-v1-mkmlizer
Pipeline stage MKMLizer completed in 147.55s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service zmeeks-capitanito-35-v1
Waiting for inference service zmeeks-capitanito-35-v1 to be ready
Inference service zmeeks-capitanito-35-v1 ready after 221.34386682510376s
Pipeline stage MKMLDeployer completed in 222.00s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3718810081481934s
Received healthy response to inference request in 1.7268807888031006s
Received healthy response to inference request in 1.6760146617889404s
Received healthy response to inference request in 1.8671107292175293s
Received healthy response to inference request in 1.5543668270111084s
5 requests
0 failed requests
5th percentile: 1.5786963939666747
10th percentile: 1.6030259609222413
20th percentile: 1.6516850948333741
30th percentile: 1.6861878871917724
40th percentile: 1.7065343379974365
50th percentile: 1.7268807888031006
60th percentile: 1.782972764968872
70th percentile: 1.8390647411346435
80th percentile: 1.968064785003662
90th percentile: 2.1699728965759277
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mean time: 1.8392508029937744
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.73s
Shutdown handler de-registered
zmeeks-capitanito-35_v1 status is now deployed due to DeploymentManager action
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 6090.99s
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zmeeks-capitanito-35_v1 status is now inactive due to auto deactivation removed underperforming models
zmeeks-capitanito-35_v1 status is now torndown due to DeploymentManager action