developer_uid: zmeeks
submission_id: zmeeks-capitanito-38_v1
model_name: capitanito_t10__38__ppmmp
model_group: zmeeks/capitanito__38
status: torndown
timestamp: 2025-07-14T05:28:37+00:00
num_battles: 8199
num_wins: 3854
celo_rating: 1256.76
family_friendly_score: 0.5822
family_friendly_standard_error: 0.006974857131153297
submission_type: basic
model_repo: zmeeks/capitanito__38
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': 0.6008506501696573, 'latency_mean': 1.6641969418525695, 'latency_p50': 1.6687945127487183, 'latency_p90': 1.8399986505508423}, {'batch_size': 3, 'throughput': 1.0875542586617286, 'latency_mean': 2.753111382722855, 'latency_p50': 2.7457324266433716, 'latency_p90': 3.059395956993103}, {'batch_size': 5, 'throughput': 1.2919861702504427, 'latency_mean': 3.853787579536438, 'latency_p50': 3.8427796363830566, 'latency_p90': 4.321958518028259}, {'batch_size': 6, 'throughput': 1.3456906586931323, 'latency_mean': 4.428917857408524, 'latency_p50': 4.456814646720886, 'latency_p90': 4.960992813110352}, {'batch_size': 8, 'throughput': 1.419643832237122, 'latency_mean': 5.5947409844398495, 'latency_p50': 5.576532244682312, 'latency_p90': 6.32114360332489}, {'batch_size': 10, 'throughput': 1.448130723636668, 'latency_mean': 6.852660915851593, 'latency_p50': 6.853898763656616, 'latency_p90': 7.594504451751709}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: capitanito_t10__38__ppmmp
is_internal_developer: False
language_model: zmeeks/capitanito__38
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-13
win_ratio: 0.4700573240639102
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-capitanito-38-v1-mkmlizer
Waiting for job on zmeeks-capitanito-38-v1-mkmlizer to finish
Unable to record family friendly update due to error: HTTPConnectionPool(host='chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x71b0e074c050>, 'Connection to chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
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zmeeks-capitanito-38-v1-mkmlizer: ║ ║
zmeeks-capitanito-38-v1-mkmlizer: ║ Version: 0.29.15 ║
zmeeks-capitanito-38-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
zmeeks-capitanito-38-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
zmeeks-capitanito-38-v1-mkmlizer: ║ https://mk1.ai ║
zmeeks-capitanito-38-v1-mkmlizer: ║ ║
zmeeks-capitanito-38-v1-mkmlizer: ║ The license key for the current software has been verified as ║
zmeeks-capitanito-38-v1-mkmlizer: ║ belonging to: ║
zmeeks-capitanito-38-v1-mkmlizer: ║ ║
zmeeks-capitanito-38-v1-mkmlizer: ║ Chai Research Corp. ║
zmeeks-capitanito-38-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zmeeks-capitanito-38-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
zmeeks-capitanito-38-v1-mkmlizer: ║ ║
zmeeks-capitanito-38-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-38-v1-mkmlizer: Downloaded to shared memory in 45.597s
zmeeks-capitanito-38-v1-mkmlizer: Checking if zmeeks/capitanito__38 already exists in ChaiML
zmeeks-capitanito-38-v1-mkmlizer: Creating repo ChaiML/capitanito__38 and uploading /tmp/tmpw0g7wx4c to it
zmeeks-capitanito-38-v1-mkmlizer: 0%| | 0/6 [00:00<?, ?it/s] 17%|█▋ | 1/6 [00:04<00:23, 4.61s/it] 33%|███▎ | 2/6 [00:08<00:17, 4.44s/it] 50%|█████ | 3/6 [00:16<00:17, 5.69s/it] 67%|██████▋ | 4/6 [00:20<00:10, 5.28s/it] 83%|████████▎ | 5/6 [00:25<00:04, 4.96s/it] 100%|██████████| 6/6 [00:26<00:00, 3.63s/it] 100%|██████████| 6/6 [00:26<00:00, 4.37s/it]
zmeeks-capitanito-38-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpw0g7wx4c, device:0
zmeeks-capitanito-38-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-38-v1-mkmlizer: quantized model in 36.301s
zmeeks-capitanito-38-v1-mkmlizer: Processed model zmeeks/capitanito__38 in 138.538s
zmeeks-capitanito-38-v1-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-38-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-38-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-38-v1/nvidia
zmeeks-capitanito-38-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-38-v1/nvidia/config.json
zmeeks-capitanito-38-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-38-v1/nvidia/special_tokens_map.json
zmeeks-capitanito-38-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-38-v1/nvidia/tokenizer_config.json
zmeeks-capitanito-38-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-38-v1/nvidia/tokenizer.json
zmeeks-capitanito-38-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-38-v1/nvidia/flywheel_model.0.safetensors
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Job zmeeks-capitanito-38-v1-mkmlizer completed after 181.89s with status: succeeded
Stopping job with name zmeeks-capitanito-38-v1-mkmlizer
Pipeline stage MKMLizer completed in 182.40s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Creating inference service zmeeks-capitanito-38-v1
Waiting for inference service zmeeks-capitanito-38-v1 to be ready
Inference service zmeeks-capitanito-38-v1 ready after 231.1907844543457s
Pipeline stage MKMLDeployer completed in 231.70s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4258580207824707s
Received healthy response to inference request in 1.79585862159729s
Received healthy response to inference request in 1.5923810005187988s
Received healthy response to inference request in 1.4758095741271973s
Received healthy response to inference request in 1.643547534942627s
5 requests
0 failed requests
5th percentile: 1.4991238594055176
10th percentile: 1.522438144683838
20th percentile: 1.5690667152404785
30th percentile: 1.6026143074035644
40th percentile: 1.6230809211730957
50th percentile: 1.643547534942627
60th percentile: 1.704471969604492
70th percentile: 1.7653964042663575
80th percentile: 1.9218585014343263
90th percentile: 2.1738582611083985
95th percentile: 2.2998581409454344
99th percentile: 2.4006580448150636
mean time: 1.7866909503936768
Pipeline stage StressChecker completed in 10.13s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.62s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.86s
Shutdown handler de-registered
zmeeks-capitanito-38_v1 status is now deployed due to DeploymentManager action
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Pipeline stage OfflineFamilyFriendlyScorer completed in 5427.28s
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zmeeks-capitanito-38_v1 status is now torndown due to DeploymentManager action