developer_uid: zmeeks
submission_id: zmeeks-capitanito-29_v4
model_name: capitanito_t10_zunkd__29__ppmmp
model_group: zmeeks/capitanito__29
status: torndown
timestamp: 2025-07-12T21:40:06+00:00
num_battles: 7332
num_wins: 3342
celo_rating: 1245.89
family_friendly_score: 0.5824
family_friendly_standard_error: 0.0069743851341892505
submission_type: basic
model_repo: zmeeks/capitanito__29
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': 0.6016269608121058, 'latency_mean': 1.6620584666728973, 'latency_p50': 1.6574512720108032, 'latency_p90': 1.842150330543518}, {'batch_size': 3, 'throughput': 1.0802284224948608, 'latency_mean': 2.774518395662308, 'latency_p50': 2.7756340503692627, 'latency_p90': 3.0947346210479734}, {'batch_size': 5, 'throughput': 1.2987760877866021, 'latency_mean': 3.823717440366745, 'latency_p50': 3.801722764968872, 'latency_p90': 4.319736886024475}, {'batch_size': 6, 'throughput': 1.3623872994091413, 'latency_mean': 4.387910957336426, 'latency_p50': 4.400718450546265, 'latency_p90': 4.913627552986145}, {'batch_size': 8, 'throughput': 1.424210378127223, 'latency_mean': 5.58951858997345, 'latency_p50': 5.568181037902832, 'latency_p90': 6.399245047569275}, {'batch_size': 10, 'throughput': 1.4715182765909292, 'latency_mean': 6.745523499250412, 'latency_p50': 6.728183746337891, 'latency_p90': 7.519917821884155}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: capitanito_t10_zunkd__29__ppmmp
is_internal_developer: False
language_model: zmeeks/capitanito__29
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-12
win_ratio: 0.455810147299509
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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name zmeeks-capitanito-29-v4-mkmlizer
Waiting for job on zmeeks-capitanito-29-v4-mkmlizer to finish
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zmeeks-capitanito-29-v4-mkmlizer: ║ ║
zmeeks-capitanito-29-v4-mkmlizer: ║ Version: 0.29.15 ║
zmeeks-capitanito-29-v4-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
zmeeks-capitanito-29-v4-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
zmeeks-capitanito-29-v4-mkmlizer: ║ https://mk1.ai ║
zmeeks-capitanito-29-v4-mkmlizer: ║ ║
zmeeks-capitanito-29-v4-mkmlizer: ║ The license key for the current software has been verified as ║
zmeeks-capitanito-29-v4-mkmlizer: ║ belonging to: ║
zmeeks-capitanito-29-v4-mkmlizer: ║ ║
zmeeks-capitanito-29-v4-mkmlizer: ║ Chai Research Corp. ║
zmeeks-capitanito-29-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zmeeks-capitanito-29-v4-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
zmeeks-capitanito-29-v4-mkmlizer: ║ ║
zmeeks-capitanito-29-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-29-v4-mkmlizer: Downloaded to shared memory in 29.156s
zmeeks-capitanito-29-v4-mkmlizer: Checking if zmeeks/capitanito__29 already exists in ChaiML
zmeeks-capitanito-29-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpk00qmjyn, device:0
zmeeks-capitanito-29-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-29-v4-mkmlizer: quantized model in 30.235s
zmeeks-capitanito-29-v4-mkmlizer: Processed model zmeeks/capitanito__29 in 59.471s
zmeeks-capitanito-29-v4-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-29-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-29-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-29-v4/nvidia
zmeeks-capitanito-29-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-29-v4/nvidia/config.json
zmeeks-capitanito-29-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-29-v4/nvidia/special_tokens_map.json
zmeeks-capitanito-29-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-29-v4/nvidia/tokenizer_config.json
zmeeks-capitanito-29-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-29-v4/nvidia/tokenizer.json
zmeeks-capitanito-29-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-29-v4/nvidia/flywheel_model.0.safetensors
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Job zmeeks-capitanito-29-v4-mkmlizer completed after 84.63s with status: succeeded
Stopping job with name zmeeks-capitanito-29-v4-mkmlizer
Pipeline stage MKMLizer completed in 85.20s
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Creating inference service zmeeks-capitanito-29-v4
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Inference service zmeeks-capitanito-29-v4 ready after 211.00652408599854s
Pipeline stage MKMLDeployer completed in 211.53s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4196877479553223s
Received healthy response to inference request in 1.2551062107086182s
Received healthy response to inference request in 2.433109760284424s
Received healthy response to inference request in 1.6075992584228516s
Received healthy response to inference request in 1.8199403285980225s
5 requests
0 failed requests
5th percentile: 1.3256048202514648
10th percentile: 1.3961034297943116
20th percentile: 1.537100648880005
30th percentile: 1.6500674724578857
40th percentile: 1.735003900527954
50th percentile: 1.8199403285980225
60th percentile: 2.059839296340942
70th percentile: 2.2997382640838624
80th percentile: 2.4223721504211424
90th percentile: 2.427740955352783
95th percentile: 2.4304253578186037
99th percentile: 2.43257287979126
mean time: 1.9070886611938476
Pipeline stage StressChecker completed in 10.96s
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Pipeline stage MKMLProfilerTemplater completed in 0.08s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3004.42s
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