developer_uid: zmeeks
submission_id: zmeeks-capitanito-9_v1
model_name: capitanito_t11__7
model_group: zmeeks/capitanito__9
status: torndown
timestamp: 2025-07-11T20:25:51+00:00
num_battles: 7976
num_wins: 3305
celo_rating: 1233.85
family_friendly_score: 0.5631999999999999
family_friendly_standard_error: 0.007014353284515972
submission_type: basic
model_repo: zmeeks/capitanito__9
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': 0.6000647410623752, 'latency_mean': 1.6663629627227783, 'latency_p50': 1.6610904932022095, 'latency_p90': 1.852586817741394}, {'batch_size': 3, 'throughput': 1.0875695430250307, 'latency_mean': 2.7532448530197144, 'latency_p50': 2.7779093980789185, 'latency_p90': 3.059186816215515}, {'batch_size': 5, 'throughput': 1.327369632847973, 'latency_mean': 3.7535011434555052, 'latency_p50': 3.759711265563965, 'latency_p90': 4.16269543170929}, {'batch_size': 6, 'throughput': 1.3814379908325474, 'latency_mean': 4.318251218795776, 'latency_p50': 4.32663369178772, 'latency_p90': 4.792972421646118}, {'batch_size': 8, 'throughput': 1.4485183845577387, 'latency_mean': 5.475567256212234, 'latency_p50': 5.513293623924255, 'latency_p90': 6.04036557674408}, {'batch_size': 10, 'throughput': 1.472389483369764, 'latency_mean': 6.737557163238526, 'latency_p50': 6.769705295562744, 'latency_p90': 7.53772668838501}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: capitanito_t11__7
is_internal_developer: False
language_model: zmeeks/capitanito__9
model_size: 13B
ranking_group: single
throughput_3p7s: 1.32
us_pacific_date: 2025-07-11
win_ratio: 0.4143681043129388
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-9-v1-mkmlizer
Waiting for job on zmeeks-capitanito-9-v1-mkmlizer to finish
zmeeks-capitanito-9-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zmeeks-capitanito-9-v1-mkmlizer: ║                                                                     ║
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zmeeks-capitanito-9-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
zmeeks-capitanito-9-v1-mkmlizer: ║                                                                     ║
zmeeks-capitanito-9-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
zmeeks-capitanito-9-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
zmeeks-capitanito-9-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
zmeeks-capitanito-9-v1-mkmlizer: ║  https://mk1.ai                                                     ║
zmeeks-capitanito-9-v1-mkmlizer: ║                                                                     ║
zmeeks-capitanito-9-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
zmeeks-capitanito-9-v1-mkmlizer: ║  belonging to:                                                      ║
zmeeks-capitanito-9-v1-mkmlizer: ║                                                                     ║
zmeeks-capitanito-9-v1-mkmlizer: ║  Chai Research Corp.                                                ║
zmeeks-capitanito-9-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zmeeks-capitanito-9-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
zmeeks-capitanito-9-v1-mkmlizer: ║                                                                     ║
zmeeks-capitanito-9-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-9-v1-mkmlizer: Downloaded to shared memory in 44.279s
zmeeks-capitanito-9-v1-mkmlizer: Checking if zmeeks/capitanito__9 already exists in ChaiML
zmeeks-capitanito-9-v1-mkmlizer: Creating repo ChaiML/capitanito__9 and uploading /tmp/tmp5urk6spi to it
zmeeks-capitanito-9-v1-mkmlizer: 
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zmeeks-capitanito-9-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5urk6spi, device:0
zmeeks-capitanito-9-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-9-v1-mkmlizer: quantized model in 30.666s
zmeeks-capitanito-9-v1-mkmlizer: Processed model zmeeks/capitanito__9 in 132.183s
zmeeks-capitanito-9-v1-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-9-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-9-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-9-v1/nvidia
zmeeks-capitanito-9-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-9-v1/nvidia/config.json
zmeeks-capitanito-9-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-9-v1/nvidia/special_tokens_map.json
zmeeks-capitanito-9-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-9-v1/nvidia/tokenizer_config.json
zmeeks-capitanito-9-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-9-v1/nvidia/tokenizer.json
zmeeks-capitanito-9-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-9-v1/nvidia/flywheel_model.0.safetensors
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Job zmeeks-capitanito-9-v1-mkmlizer completed after 157.25s with status: succeeded
Stopping job with name zmeeks-capitanito-9-v1-mkmlizer
Pipeline stage MKMLizer completed in 157.75s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.24s
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Running pipeline stage MKMLDeployer
Creating inference service zmeeks-capitanito-9-v1
Waiting for inference service zmeeks-capitanito-9-v1 to be ready
Inference service zmeeks-capitanito-9-v1 ready after 200.6819474697113s
Pipeline stage MKMLDeployer completed in 201.28s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.060459852218628s
Received healthy response to inference request in 1.8013579845428467s
Received healthy response to inference request in 1.4726176261901855s
Received healthy response to inference request in 1.6091639995574951s
5 requests
1 failed requests
5th percentile: 1.4999269008636475
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mean time: 5.4186748504638675
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Received healthy response to inference request in 1.847496509552002s
Received healthy response to inference request in 2.0333375930786133s
Received healthy response to inference request in 1.607560157775879s
Received healthy response to inference request in 1.4946541786193848s
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mean time: 1.7313072204589843
Pipeline stage StressChecker completed in 38.93s
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Shutdown handler de-registered
zmeeks-capitanito-9_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
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 6189.71s
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zmeeks-capitanito-9_v1 status is now inactive due to auto deactivation removed underperforming models
zmeeks-capitanito-9_v1 status is now torndown due to DeploymentManager action