zmeeks-capitanito-36

developer_uid: zmeeks

submission_id: zmeeks-capitanito-36_v12

model_name: capitanito_t11__36__tops

model_group: zmeeks/capitanito__36

status: torndown

timestamp: 2025-07-14T05:25:08+00:00

num_battles: 6914

num_wins: 3271

celo_rating: 1248.78

family_friendly_score: 0.5782

family_friendly_standard_error: 0.006984049828000943

submission_type: basic

model_repo: zmeeks/capitanito__36

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': 0.5844835119585362, 'latency_mean': 1.7108052444458008, 'latency_p50': 1.7207618951797485, 'latency_p90': 1.8829936981201172}, {'batch_size': 3, 'throughput': 1.0561607697203108, 'latency_mean': 2.833903502225876, 'latency_p50': 2.831376552581787, 'latency_p90': 3.143011736869812}, {'batch_size': 5, 'throughput': 1.264649147711169, 'latency_mean': 3.9328760743141173, 'latency_p50': 3.9273184537887573, 'latency_p90': 4.371104645729065}, {'batch_size': 6, 'throughput': 1.3279325475622992, 'latency_mean': 4.49763164639473, 'latency_p50': 4.474763751029968, 'latency_p90': 5.09658727645874}, {'batch_size': 8, 'throughput': 1.3679604541838328, 'latency_mean': 5.810168851613998, 'latency_p50': 5.7341543436050415, 'latency_p90': 6.622311615943908}, {'batch_size': 10, 'throughput': 1.4108676800542728, 'latency_mean': 7.008136948347092, 'latency_p50': 7.012615442276001, 'latency_p90': 7.90847225189209}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: capitanito_t11__36__tops

is_internal_developer: False

language_model: zmeeks/capitanito__36

model_size: 13B

ranking_group: single

throughput_3p7s: 1.24

us_pacific_date: 2025-07-13

win_ratio: 0.47309806190338444

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', '</s>', 'You:', 'Me:', 'Bot:', '####', 'User:'], '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-36-v12-mkmlizer
Waiting for job on zmeeks-capitanito-36-v12-mkmlizer to finish
zmeeks-capitanito-36-v12-mkmlizer: Downloaded to shared memory in 31.743s
zmeeks-capitanito-36-v12-mkmlizer: Checking if zmeeks/capitanito__36 already exists in ChaiML
zmeeks-capitanito-36-v12-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpes2xjyo3, device:0
zmeeks-capitanito-36-v12-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-36-v12-mkmlizer: quantized model in 35.893s
zmeeks-capitanito-36-v12-mkmlizer: Processed model zmeeks/capitanito__36 in 67.711s
zmeeks-capitanito-36-v12-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-36-v12-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-36-v12-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-36-v12/nvidia
zmeeks-capitanito-36-v12-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-36-v12/nvidia/config.json
zmeeks-capitanito-36-v12-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-36-v12/nvidia/special_tokens_map.json
zmeeks-capitanito-36-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-36-v12/nvidia/tokenizer_config.json
zmeeks-capitanito-36-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-36-v12/nvidia/tokenizer.json
zmeeks-capitanito-36-v12-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-36-v12/nvidia/flywheel_model.0.safetensors
zmeeks-capitanito-36-v12-mkmlizer: 
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Job zmeeks-capitanito-36-v12-mkmlizer completed after 103.89s with status: succeeded
Stopping job with name zmeeks-capitanito-36-v12-mkmlizer
Pipeline stage MKMLizer completed in 104.38s
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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-36-v12
Waiting for inference service zmeeks-capitanito-36-v12 to be ready
Inference service zmeeks-capitanito-36-v12 ready after 230.86281371116638s
Pipeline stage MKMLDeployer completed in 231.36s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4107608795166016s
Received healthy response to inference request in 1.3786771297454834s
Received healthy response to inference request in 1.6793017387390137s
Received healthy response to inference request in 1.6433095932006836s
Received healthy response to inference request in 1.8459811210632324s
5 requests
0 failed requests
5th percentile: 1.4316036224365234
10th percentile: 1.4845301151275634
20th percentile: 1.5903831005096436
30th percentile: 1.6505080223083497
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90th percentile: 2.184848976135254
95th percentile: 2.297804927825928
99th percentile: 2.3881696891784667
mean time: 1.7916060924530028
Pipeline stage StressChecker completed in 10.26s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.68s
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zmeeks-capitanito-36_v12 status is now deployed due to DeploymentManager action
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3366.41s
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zmeeks-capitanito-36_v12 status is now inactive due to auto deactivation removed underperforming models
zmeeks-capitanito-36_v12 status is now torndown due to DeploymentManager action