zmeeks-capitanito-54-3000

developer_uid: zmeeks
submission_id: zmeeks-capitanito-54-3000_v8
model_name: capitanito_t10__z54-3000__ppmmp
model_group: zmeeks/capitanito__54-30
status: torndown
timestamp: 2025-07-18T03:01:07+00:00
num_battles: 7821
num_wins: 3795
celo_rating: 1264.61
family_friendly_score: 0.5864
family_friendly_standard_error: 0.006964697265495466
submission_type: basic
model_repo: zmeeks/capitanito__54-3000
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 3072
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.40085290958543646, 'latency_mean': 2.494567331075668, 'latency_p50': 2.4899234771728516, 'latency_p90': 2.681012582778931}, {'batch_size': 2, 'throughput': 0.5221169934874578, 'latency_mean': 3.8290266585350037, 'latency_p50': 3.828153610229492, 'latency_p90': 4.107909250259399}, {'batch_size': 3, 'throughput': 0.5841073317331498, 'latency_mean': 5.119247803688049, 'latency_p50': 5.131176829338074, 'latency_p90': 5.638440704345703}, {'batch_size': 5, 'throughput': 0.6400656664048974, 'latency_mean': 7.78856214761734, 'latency_p50': 7.836649775505066, 'latency_p90': 8.648212575912476}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: capitanito_t10__z54-3000__ppmmp
is_internal_developer: False
language_model: zmeeks/capitanito__54-3000
model_size: 13B
ranking_group: single
throughput_3p7s: 0.51
us_pacific_date: 2025-07-17
win_ratio: 0.48523206751054854
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': 3072, '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
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Running pipeline stage MKMLizer
Starting job with name zmeeks-capitanito-54-3000-v8-mkmlizer
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zmeeks-capitanito-54-3000-v8-mkmlizer: ║                                                                     ║
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zmeeks-capitanito-54-3000-v8-mkmlizer: ║                                                                     ║
zmeeks-capitanito-54-3000-v8-mkmlizer: ║  Version: 0.29.15                                                   ║
zmeeks-capitanito-54-3000-v8-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
zmeeks-capitanito-54-3000-v8-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
zmeeks-capitanito-54-3000-v8-mkmlizer: ║  https://mk1.ai                                                     ║
zmeeks-capitanito-54-3000-v8-mkmlizer: ║                                                                     ║
zmeeks-capitanito-54-3000-v8-mkmlizer: ║  The license key for the current software has been verified as      ║
zmeeks-capitanito-54-3000-v8-mkmlizer: ║  belonging to:                                                      ║
zmeeks-capitanito-54-3000-v8-mkmlizer: ║                                                                     ║
zmeeks-capitanito-54-3000-v8-mkmlizer: ║  Chai Research Corp.                                                ║
zmeeks-capitanito-54-3000-v8-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zmeeks-capitanito-54-3000-v8-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
zmeeks-capitanito-54-3000-v8-mkmlizer: ║                                                                     ║
zmeeks-capitanito-54-3000-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-54-3000-v8-mkmlizer: Downloaded to shared memory in 34.224s
zmeeks-capitanito-54-3000-v8-mkmlizer: Checking if zmeeks/capitanito__54-3000 already exists in ChaiML
zmeeks-capitanito-54-3000-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpx_rfugql, device:0
zmeeks-capitanito-54-3000-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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 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 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
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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name zmeeks-capitanito-54-3400-v4-mkmlizer
Waiting for job on zmeeks-capitanito-54-3400-v4-mkmlizer to finish
zmeeks-capitanito-54-3000-v8-mkmlizer: quantized model in 37.819s
zmeeks-capitanito-54-3000-v8-mkmlizer: Processed model zmeeks/capitanito__54-3000 in 72.125s
zmeeks-capitanito-54-3000-v8-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-54-3000-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-54-3000-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-54-3000-v8/nvidia
zmeeks-capitanito-54-3000-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-54-3000-v8/nvidia/config.json
zmeeks-capitanito-54-3000-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-54-3000-v8/nvidia/special_tokens_map.json
zmeeks-capitanito-54-3000-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-54-3000-v8/nvidia/tokenizer_config.json
zmeeks-capitanito-54-3000-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-54-3000-v8/nvidia/tokenizer.json
zmeeks-capitanito-54-3400-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zmeeks-capitanito-54-3400-v4-mkmlizer: ║                                                                     ║
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zmeeks-capitanito-54-3400-v4-mkmlizer: ║                                                                     ║
zmeeks-capitanito-54-3400-v4-mkmlizer: ║  Version: 0.29.15                                                   ║
zmeeks-capitanito-54-3400-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
zmeeks-capitanito-54-3400-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
zmeeks-capitanito-54-3400-v4-mkmlizer: ║  https://mk1.ai                                                     ║
zmeeks-capitanito-54-3400-v4-mkmlizer: ║                                                                     ║
zmeeks-capitanito-54-3400-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
zmeeks-capitanito-54-3400-v4-mkmlizer: ║  belonging to:                                                      ║
zmeeks-capitanito-54-3400-v4-mkmlizer: ║                                                                     ║
zmeeks-capitanito-54-3400-v4-mkmlizer: ║  Chai Research Corp.                                                ║
zmeeks-capitanito-54-3400-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zmeeks-capitanito-54-3400-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
zmeeks-capitanito-54-3400-v4-mkmlizer: ║                                                                     ║
zmeeks-capitanito-54-3400-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-54-3000-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-54-3000-v8/nvidia/flywheel_model.0.safetensors
zmeeks-capitanito-54-3000-v8-mkmlizer: 
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Job zmeeks-capitanito-54-3000-v8-mkmlizer completed after 97.26s with status: succeeded
Stopping job with name zmeeks-capitanito-54-3000-v8-mkmlizer
Pipeline stage MKMLizer completed in 97.86s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service zmeeks-capitanito-54-3000-v8
Waiting for inference service zmeeks-capitanito-54-3000-v8 to be ready
zmeeks-capitanito-54-3400-v4-mkmlizer: Downloaded to shared memory in 42.414s
zmeeks-capitanito-54-3400-v4-mkmlizer: Checking if zmeeks/capitanito__54-3400 already exists in ChaiML
zmeeks-capitanito-54-3400-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpsuxb5wao, device:0
zmeeks-capitanito-54-3400-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-54-3400-v4-mkmlizer: quantized model in 31.369s
zmeeks-capitanito-54-3400-v4-mkmlizer: Processed model zmeeks/capitanito__54-3400 in 73.914s
zmeeks-capitanito-54-3400-v4-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-54-3400-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-54-3400-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-54-3400-v4/nvidia
zmeeks-capitanito-54-3400-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-54-3400-v4/nvidia/config.json
zmeeks-capitanito-54-3400-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-54-3400-v4/nvidia/special_tokens_map.json
zmeeks-capitanito-54-3400-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-54-3400-v4/nvidia/tokenizer_config.json
zmeeks-capitanito-54-3400-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-54-3400-v4/nvidia/tokenizer.json
zmeeks-capitanito-54-3400-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-54-3400-v4/nvidia/flywheel_model.0.safetensors
zmeeks-capitanito-54-3400-v4-mkmlizer: 
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Job zmeeks-capitanito-54-3400-v4-mkmlizer completed after 100.27s with status: succeeded
Stopping job with name zmeeks-capitanito-54-3400-v4-mkmlizer
Pipeline stage MKMLizer completed in 101.06s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.22s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service zmeeks-capitanito-54-3400-v4
Waiting for inference service zmeeks-capitanito-54-3400-v4 to be ready
Inference service zmeeks-capitanito-54-3000-v8 ready after 311.8831169605255s
Pipeline stage MKMLDeployer completed in 312.93s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.533205509185791s
Received healthy response to inference request in 1.9892027378082275s
Received healthy response to inference request in 2.214775562286377s
Received healthy response to inference request in 1.5355181694030762s
Received healthy response to inference request in 1.7767343521118164s
5 requests
0 failed requests
5th percentile: 1.5837614059448242
10th percentile: 1.6320046424865722
20th percentile: 1.7284911155700684
30th percentile: 1.8192280292510987
40th percentile: 1.9042153835296631
50th percentile: 1.9892027378082275
60th percentile: 2.0794318675994874
70th percentile: 2.1696609973907472
80th percentile: 2.27846155166626
90th percentile: 2.405833530426025
95th percentile: 2.469519519805908
99th percentile: 2.5204683113098145
mean time: 2.0098872661590574
Pipeline stage StressChecker completed in 13.30s
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 1.39s
Shutdown handler de-registered
zmeeks-capitanito-54-3000_v8 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5426.79s
Shutdown handler de-registered
zmeeks-capitanito-54-3000_v8 status is now inactive due to auto deactivation removed underperforming models
zmeeks-capitanito-54-3000_v8 status is now torndown due to DeploymentManager action
zmeeks-capitanito-54-3000_v8 status is now torndown due to DeploymentManager action