developer_uid: zmeeks
submission_id: zmeeks-capitanito-35_v3
model_name: capitanito_t10__z35__ppmmp
model_group: zmeeks/capitanito__35
status: torndown
timestamp: 2025-07-13T19:52:09+00:00
num_battles: 10893
num_wins: 5010
celo_rating: 1258.29
family_friendly_score: 0.5800000000000001
family_friendly_standard_error: 0.006979971346646059
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': 0.5956299799165969, 'latency_mean': 1.6787611937522888, 'latency_p50': 1.669045329093933, 'latency_p90': 1.8678948163986206}, {'batch_size': 3, 'throughput': 1.0654107185710389, 'latency_mean': 2.807920928001404, 'latency_p50': 2.803446054458618, 'latency_p90': 3.063142991065979}, {'batch_size': 5, 'throughput': 1.2824466011230256, 'latency_mean': 3.872326810359955, 'latency_p50': 3.881778359413147, 'latency_p90': 4.342641162872314}, {'batch_size': 6, 'throughput': 1.3431611853258223, 'latency_mean': 4.444921327829361, 'latency_p50': 4.445187449455261, 'latency_p90': 4.9478600025177}, {'batch_size': 8, 'throughput': 1.4225542320981113, 'latency_mean': 5.602496052980423, 'latency_p50': 5.595260500907898, 'latency_p90': 6.237771964073181}, {'batch_size': 10, 'throughput': 1.4487914631166199, 'latency_mean': 6.850429517030716, 'latency_p50': 6.863045334815979, 'latency_p90': 7.748985195159912}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: capitanito_t10__z35__ppmmp
is_internal_developer: False
language_model: zmeeks/capitanito__35
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-13
win_ratio: 0.459928394381713
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': True}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name zmeeks-capitanito-35-v3-mkmlizer
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zmeeks-capitanito-35-v3-mkmlizer: ║ ║
zmeeks-capitanito-35-v3-mkmlizer: ║ Version: 0.29.15 ║
zmeeks-capitanito-35-v3-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
zmeeks-capitanito-35-v3-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
zmeeks-capitanito-35-v3-mkmlizer: ║ https://mk1.ai ║
zmeeks-capitanito-35-v3-mkmlizer: ║ ║
zmeeks-capitanito-35-v3-mkmlizer: ║ The license key for the current software has been verified as ║
zmeeks-capitanito-35-v3-mkmlizer: ║ belonging to: ║
zmeeks-capitanito-35-v3-mkmlizer: ║ ║
zmeeks-capitanito-35-v3-mkmlizer: ║ Chai Research Corp. ║
zmeeks-capitanito-35-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zmeeks-capitanito-35-v3-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
zmeeks-capitanito-35-v3-mkmlizer: ║ ║
zmeeks-capitanito-35-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-35-v3-mkmlizer: Downloaded to shared memory in 37.622s
zmeeks-capitanito-35-v3-mkmlizer: Checking if zmeeks/capitanito__35 already exists in ChaiML
zmeeks-capitanito-35-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpjk1_su5q, device:0
zmeeks-capitanito-35-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-35-v3-mkmlizer: quantized model in 30.564s
zmeeks-capitanito-35-v3-mkmlizer: Processed model zmeeks/capitanito__35 in 68.277s
zmeeks-capitanito-35-v3-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-35-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-35-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-35-v3/nvidia
zmeeks-capitanito-35-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-35-v3/nvidia/config.json
zmeeks-capitanito-35-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-35-v3/nvidia/special_tokens_map.json
zmeeks-capitanito-35-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-35-v3/nvidia/tokenizer_config.json
zmeeks-capitanito-35-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-35-v3/nvidia/tokenizer.json
zmeeks-capitanito-35-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-35-v3/nvidia/flywheel_model.0.safetensors
Job zmeeks-capitanito-35-v3-mkmlizer completed after 95.22s with status: succeeded
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Pipeline stage MKMLizer completed in 95.78s
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Inference service zmeeks-capitanito-35-v3 ready after 221.1904149055481s
Pipeline stage MKMLDeployer completed in 221.77s
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Received healthy response to inference request in 1.0853140354156494s
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5th percentile: 1.1535855770111083
10th percentile: 1.2218571186065674
20th percentile: 1.3584002017974854
30th percentile: 1.4736311912536622
40th percentile: 1.5675500869750976
50th percentile: 1.6614689826965332
60th percentile: 1.8508512496948242
70th percentile: 2.040233516693115
80th percentile: 2.1661369800567627
90th percentile: 2.2285616397857666
95th percentile: 2.2597739696502686
99th percentile: 2.28474383354187
mean time: 1.7198731422424316
Pipeline stage StressChecker completed in 10.18s
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zmeeks-capitanito-35_v3 status is now torndown due to DeploymentManager action