developer_uid: zmeeks
submission_id: zmeeks-capitanito-48-s1_v3
model_name: capitanito_t10__z48-s1__ppmmp
model_group: zmeeks/capitanito__48-s1
status: torndown
timestamp: 2025-07-15T13:29:41+00:00
num_battles: 6995
num_wins: 3253
celo_rating: 1244.77
family_friendly_score: 0.571
family_friendly_standard_error: 0.006999414261207862
submission_type: basic
model_repo: zmeeks/capitanito__48-s1
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': 0.585883878871622, 'latency_mean': 1.7066475677490234, 'latency_p50': 1.7249706983566284, 'latency_p90': 1.8758532285690308}, {'batch_size': 3, 'throughput': 1.0546469618614067, 'latency_mean': 2.8260639977455138, 'latency_p50': 2.8302791118621826, 'latency_p90': 3.096433401107788}, {'batch_size': 5, 'throughput': 1.257843392658093, 'latency_mean': 3.957130818367004, 'latency_p50': 3.9797502756118774, 'latency_p90': 4.431784462928772}, {'batch_size': 6, 'throughput': 1.316994201532168, 'latency_mean': 4.5282375323772435, 'latency_p50': 4.534373044967651, 'latency_p90': 5.13944103717804}, {'batch_size': 8, 'throughput': 1.3734141768795454, 'latency_mean': 5.788711241483688, 'latency_p50': 5.7995922565460205, 'latency_p90': 6.475981283187866}, {'batch_size': 10, 'throughput': 1.4158610160852771, 'latency_mean': 7.004865152835846, 'latency_p50': 6.946225047111511, 'latency_p90': 7.890145349502563}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: capitanito_t10__z48-s1__ppmmp
is_internal_developer: False
language_model: zmeeks/capitanito__48-s1
model_size: 13B
ranking_group: single
throughput_3p7s: 1.23
us_pacific_date: 2025-07-15
win_ratio: 0.46504646175839887
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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Starting job with name zmeeks-capitanito-48-s1-v3-mkmlizer
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zmeeks-capitanito-48-s1-v3-mkmlizer: ║ ║
zmeeks-capitanito-48-s1-v3-mkmlizer: ║ Version: 0.29.15 ║
zmeeks-capitanito-48-s1-v3-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
zmeeks-capitanito-48-s1-v3-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
zmeeks-capitanito-48-s1-v3-mkmlizer: ║ https://mk1.ai ║
zmeeks-capitanito-48-s1-v3-mkmlizer: ║ ║
zmeeks-capitanito-48-s1-v3-mkmlizer: ║ The license key for the current software has been verified as ║
zmeeks-capitanito-48-s1-v3-mkmlizer: ║ belonging to: ║
zmeeks-capitanito-48-s1-v3-mkmlizer: ║ ║
zmeeks-capitanito-48-s1-v3-mkmlizer: ║ Chai Research Corp. ║
zmeeks-capitanito-48-s1-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zmeeks-capitanito-48-s1-v3-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
zmeeks-capitanito-48-s1-v3-mkmlizer: ║ ║
zmeeks-capitanito-48-s1-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-48-s1-v3-mkmlizer: Downloaded to shared memory in 28.097s
zmeeks-capitanito-48-s1-v3-mkmlizer: Checking if zmeeks/capitanito__48-s1 already exists in ChaiML
zmeeks-capitanito-48-s1-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmprks_jcwb, device:0
zmeeks-capitanito-48-s1-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-48-s1-v3-mkmlizer: quantized model in 31.173s
zmeeks-capitanito-48-s1-v3-mkmlizer: Processed model zmeeks/capitanito__48-s1 in 59.361s
zmeeks-capitanito-48-s1-v3-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-48-s1-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-48-s1-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-48-s1-v3/nvidia
zmeeks-capitanito-48-s1-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-48-s1-v3/nvidia/config.json
zmeeks-capitanito-48-s1-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-48-s1-v3/nvidia/special_tokens_map.json
zmeeks-capitanito-48-s1-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-48-s1-v3/nvidia/tokenizer_config.json
zmeeks-capitanito-48-s1-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-48-s1-v3/nvidia/tokenizer.json
zmeeks-capitanito-48-s1-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-48-s1-v3/nvidia/flywheel_model.0.safetensors
Job zmeeks-capitanito-48-s1-v3-mkmlizer completed after 86.35s with status: succeeded
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Inference service zmeeks-capitanito-48-s1-v3 ready after 241.33009266853333s
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HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
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Received healthy response to inference request in 2.465622901916504s
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5th percentile: 1.5971919536590575
10th percentile: 1.685849952697754
20th percentile: 1.8631659507751466
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mean time: 5.684062337875366
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5th percentile: 1.4712070941925048
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40th percentile: 1.63766508102417
50th percentile: 1.7352113723754883
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80th percentile: 1.792060089111328
90th percentile: 1.8065958976745606
95th percentile: 1.8138638019561768
99th percentile: 1.8196781253814698
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zmeeks-capitanito-48-s1_v3 status is now inactive due to auto deactivation removed underperforming models
zmeeks-capitanito-48-s1_v3 status is now torndown due to DeploymentManager action
zmeeks-capitanito-48-s1_v3 status is now torndown due to DeploymentManager action