developer_uid: zmeeks
submission_id: zmeeks-capitano-1_v1
model_name: capitano_t10__1__ppmmp
model_group: zmeeks/capitano__1
status: torndown
timestamp: 2025-07-14T12:00:31+00:00
num_battles: 7997
num_wins: 3850
celo_rating: 1257.15
family_friendly_score: 0.5758
family_friendly_standard_error: 0.006989339882993243
submission_type: basic
model_repo: zmeeks/capitano__1
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': 0.5957338891056648, 'latency_mean': 1.678478411436081, 'latency_p50': 1.6795052289962769, 'latency_p90': 1.856027889251709}, {'batch_size': 3, 'throughput': 1.078014161429543, 'latency_mean': 2.7790737235546112, 'latency_p50': 2.78001606464386, 'latency_p90': 3.0911412715911863}, {'batch_size': 5, 'throughput': 1.300087018926029, 'latency_mean': 3.833951896429062, 'latency_p50': 3.848200559616089, 'latency_p90': 4.282368564605713}, {'batch_size': 6, 'throughput': 1.3517940662710712, 'latency_mean': 4.404837540388107, 'latency_p50': 4.426549553871155, 'latency_p90': 4.88603892326355}, {'batch_size': 8, 'throughput': 1.4115310490782682, 'latency_mean': 5.638420518636703, 'latency_p50': 5.625457763671875, 'latency_p90': 6.420511984825134}, {'batch_size': 10, 'throughput': 1.4324385053494686, 'latency_mean': 6.926904965639114, 'latency_p50': 6.888052344322205, 'latency_p90': 7.799435472488403}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: capitano_t10__1__ppmmp
is_internal_developer: False
language_model: zmeeks/capitano__1
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-14
win_ratio: 0.4814305364511692
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': 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-capitano-1-v1-mkmlizer
Waiting for job on zmeeks-capitano-1-v1-mkmlizer to finish
zmeeks-capitano-1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zmeeks-capitano-1-v1-mkmlizer: ║ ║
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zmeeks-capitano-1-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
zmeeks-capitano-1-v1-mkmlizer: ║ ║
zmeeks-capitano-1-v1-mkmlizer: ║ Version: 0.29.15 ║
zmeeks-capitano-1-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
zmeeks-capitano-1-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
zmeeks-capitano-1-v1-mkmlizer: ║ https://mk1.ai ║
zmeeks-capitano-1-v1-mkmlizer: ║ ║
zmeeks-capitano-1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
zmeeks-capitano-1-v1-mkmlizer: ║ belonging to: ║
zmeeks-capitano-1-v1-mkmlizer: ║ ║
zmeeks-capitano-1-v1-mkmlizer: ║ Chai Research Corp. ║
zmeeks-capitano-1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zmeeks-capitano-1-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
zmeeks-capitano-1-v1-mkmlizer: ║ ║
zmeeks-capitano-1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitano-1-v1-mkmlizer: Downloaded to shared memory in 50.010s
zmeeks-capitano-1-v1-mkmlizer: Checking if zmeeks/capitano__1 already exists in ChaiML
zmeeks-capitano-1-v1-mkmlizer: Creating repo ChaiML/capitano__1 and uploading /tmp/tmp14ewyrxz to it
zmeeks-capitano-1-v1-mkmlizer: 0%| | 0/6 [00:00<?, ?it/s] 17%|█▋ | 1/6 [00:06<00:33, 6.71s/it] 33%|███▎ | 2/6 [00:16<00:32, 8.25s/it] 50%|█████ | 3/6 [00:21<00:21, 7.07s/it] 67%|██████▋ | 4/6 [00:29<00:14, 7.30s/it] 83%|████████▎ | 5/6 [00:39<00:08, 8.49s/it] 100%|██████████| 6/6 [00:41<00:00, 5.99s/it] 100%|██████████| 6/6 [00:41<00:00, 6.85s/it]
zmeeks-capitano-1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp14ewyrxz, device:0
zmeeks-capitano-1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitano-1-v1-mkmlizer: quantized model in 44.468s
zmeeks-capitano-1-v1-mkmlizer: Processed model zmeeks/capitano__1 in 176.898s
zmeeks-capitano-1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitano-1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitano-1-v1/nvidia
zmeeks-capitano-1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitano-1-v1/nvidia/config.json
zmeeks-capitano-1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitano-1-v1/nvidia/special_tokens_map.json
zmeeks-capitano-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitano-1-v1/nvidia/tokenizer_config.json
zmeeks-capitano-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitano-1-v1/nvidia/tokenizer.json
zmeeks-capitano-1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitano-1-v1/nvidia/flywheel_model.0.safetensors
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Job zmeeks-capitano-1-v1-mkmlizer completed after 208.32s with status: succeeded
Stopping job with name zmeeks-capitano-1-v1-mkmlizer
Pipeline stage MKMLizer completed in 208.80s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service zmeeks-capitano-1-v1
Waiting for inference service zmeeks-capitano-1-v1 to be ready
1 validation error for RewardSubmission platform Input should be 'reward' [type=literal_error, input_value='coreweave/mkml', input_type=str] For further information visit https://errors.pydantic.dev/2.11/v/literal_error
1 validation error for RewardSubmission platform Input should be 'reward' [type=literal_error, input_value='coreweave/mkml', input_type=str] For further information visit https://errors.pydantic.dev/2.11/v/literal_error
1 validation error for GuardSubmission platform Input should be 'guard' [type=literal_error, input_value='coreweave/mkml', input_type=str] For further information visit https://errors.pydantic.dev/2.11/v/literal_error
1 validation error for GuardSubmission platform Input should be 'guard' [type=literal_error, input_value='coreweave/mkml', input_type=str] For further information visit https://errors.pydantic.dev/2.11/v/literal_error
1 validation error for NemoGuardSubmission platform Input should be 'nemo_guard' [type=literal_error, input_value='coreweave/mkml', input_type=str] For further information visit https://errors.pydantic.dev/2.11/v/literal_error
1 validation error for NemoGuardSubmission platform Input should be 'nemo_guard' [type=literal_error, input_value='coreweave/mkml', input_type=str] For further information visit https://errors.pydantic.dev/2.11/v/literal_error
Shutdown handler not registered because Python interpreter is not running in the main thread
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run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name zmeeks-capitanito-46-v3-mkmlizer
Waiting for job on zmeeks-capitanito-46-v3-mkmlizer to finish
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zmeeks-capitanito-46-v3-mkmlizer: ║ ║
zmeeks-capitanito-46-v3-mkmlizer: ║ Version: 0.29.15 ║
zmeeks-capitanito-46-v3-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
zmeeks-capitanito-46-v3-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
zmeeks-capitanito-46-v3-mkmlizer: ║ https://mk1.ai ║
zmeeks-capitanito-46-v3-mkmlizer: ║ ║
zmeeks-capitanito-46-v3-mkmlizer: ║ The license key for the current software has been verified as ║
zmeeks-capitanito-46-v3-mkmlizer: ║ belonging to: ║
zmeeks-capitanito-46-v3-mkmlizer: ║ ║
zmeeks-capitanito-46-v3-mkmlizer: ║ Chai Research Corp. ║
zmeeks-capitanito-46-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zmeeks-capitanito-46-v3-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
zmeeks-capitanito-46-v3-mkmlizer: ║ ║
zmeeks-capitanito-46-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-46-v3-mkmlizer: Downloaded to shared memory in 40.348s
zmeeks-capitanito-46-v3-mkmlizer: Checking if zmeeks/capitanito__46 already exists in ChaiML
zmeeks-capitanito-46-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdpq1de4b, device:0
zmeeks-capitanito-46-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-46-v3-mkmlizer: quantized model in 47.178s
zmeeks-capitanito-46-v3-mkmlizer: Processed model zmeeks/capitanito__46 in 87.605s
zmeeks-capitanito-46-v3-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-46-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-46-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-46-v3/nvidia
zmeeks-capitanito-46-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-46-v3/nvidia/config.json
zmeeks-capitanito-46-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-46-v3/nvidia/special_tokens_map.json
zmeeks-capitanito-46-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-46-v3/nvidia/tokenizer_config.json
zmeeks-capitanito-46-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-46-v3/nvidia/tokenizer.json
zmeeks-capitanito-46-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-46-v3/nvidia/flywheel_model.0.safetensors
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Job zmeeks-capitanito-46-v3-mkmlizer completed after 118.61s with status: succeeded
Stopping job with name zmeeks-capitanito-46-v3-mkmlizer
Pipeline stage MKMLizer completed in 119.58s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.23s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service zmeeks-capitanito-46-v3
Waiting for inference service zmeeks-capitanito-46-v3 to be ready
Inference service zmeeks-capitano-1-v1 ready after 230.89684462547302s
Pipeline stage MKMLDeployer completed in 231.50s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.569246530532837s
Received healthy response to inference request in 1.6479525566101074s
Received healthy response to inference request in 1.6291520595550537s
Received healthy response to inference request in 1.6274995803833008s
Received healthy response to inference request in 1.9210302829742432s
5 requests
0 failed requests
5th percentile: 1.6278300762176514
10th percentile: 1.628160572052002
20th percentile: 1.628821563720703
30th percentile: 1.6329121589660645
40th percentile: 1.640432357788086
50th percentile: 1.6479525566101074
60th percentile: 1.7571836471557618
70th percentile: 1.866414737701416
80th percentile: 2.050673532485962
90th percentile: 2.3099600315093993
95th percentile: 2.439603281021118
99th percentile: 2.543317880630493
mean time: 1.8789762020111085
Pipeline stage StressChecker completed in 12.17s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.99s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.94s
Shutdown handler de-registered
zmeeks-capitano-1_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.17s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service zmeeks-capitano-1-v1-profiler
Waiting for inference service zmeeks-capitano-1-v1-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3232.08s
Shutdown handler de-registered
zmeeks-capitano-1_v1 status is now inactive due to auto deactivation removed underperforming models
zmeeks-capitano-1_v1 status is now torndown due to DeploymentManager action