developer_uid: zmeeks
submission_id: zmeeks-capitanito_v4
model_name: zito-115-095_k2
model_group: zmeeks/capitanito
status: torndown
timestamp: 2025-06-29T20:39:44+00:00
num_battles: 6080
num_wins: 2871
celo_rating: 1249.98
family_friendly_score: 0.5784
family_friendly_standard_error: 0.006983601363193635
submission_type: basic
model_repo: zmeeks/capitanito
model_architecture: MistralForCausalLM
model_num_parameters: 12772080640.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6011022618196238, 'latency_mean': 1.663505619764328, 'latency_p50': 1.6661598682403564, 'latency_p90': 1.8101288318634032}, {'batch_size': 3, 'throughput': 1.0704606391426674, 'latency_mean': 2.793484351634979, 'latency_p50': 2.7969964742660522, 'latency_p90': 3.055860757827759}, {'batch_size': 5, 'throughput': 1.2936735067651384, 'latency_mean': 3.85329708814621, 'latency_p50': 3.8833895921707153, 'latency_p90': 4.246812462806702}, {'batch_size': 6, 'throughput': 1.357477041011374, 'latency_mean': 4.397764238119126, 'latency_p50': 4.3598058223724365, 'latency_p90': 4.9883137226104735}, {'batch_size': 8, 'throughput': 1.4143701996303755, 'latency_mean': 5.622442529201508, 'latency_p50': 5.655437588691711, 'latency_p90': 6.278290390968323}, {'batch_size': 10, 'throughput': 1.4626250240821768, 'latency_mean': 6.788449907302857, 'latency_p50': 6.793940424919128, 'latency_p90': 7.738531470298767}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: zito-115-095_k2
is_internal_developer: False
language_model: zmeeks/capitanito
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-06-29
win_ratio: 0.47220394736842103
generation_params: {'temperature': 1.15, 'top_p': 0.95, 'min_p': 0.0, 'top_k': 2, '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-v4-mkmlizer
Waiting for job on zmeeks-capitanito-v4-mkmlizer to finish
zmeeks-capitanito-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zmeeks-capitanito-v4-mkmlizer: ║ ║
zmeeks-capitanito-v4-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
zmeeks-capitanito-v4-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
zmeeks-capitanito-v4-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
zmeeks-capitanito-v4-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
zmeeks-capitanito-v4-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
zmeeks-capitanito-v4-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
zmeeks-capitanito-v4-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
zmeeks-capitanito-v4-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
zmeeks-capitanito-v4-mkmlizer: ║ ║
zmeeks-capitanito-v4-mkmlizer: ║ Version: 0.29.3 ║
zmeeks-capitanito-v4-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
zmeeks-capitanito-v4-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
zmeeks-capitanito-v4-mkmlizer: ║ https://mk1.ai ║
zmeeks-capitanito-v4-mkmlizer: ║ ║
zmeeks-capitanito-v4-mkmlizer: ║ The license key for the current software has been verified as ║
zmeeks-capitanito-v4-mkmlizer: ║ belonging to: ║
zmeeks-capitanito-v4-mkmlizer: ║ ║
zmeeks-capitanito-v4-mkmlizer: ║ Chai Research Corp. ║
zmeeks-capitanito-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zmeeks-capitanito-v4-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
zmeeks-capitanito-v4-mkmlizer: ║ ║
zmeeks-capitanito-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-v4-mkmlizer: Downloaded to shared memory in 31.302s
zmeeks-capitanito-v4-mkmlizer: Checking if zmeeks/capitanito already exists in ChaiML
zmeeks-capitanito-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8ey_6ym4, device:0
zmeeks-capitanito-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-v4-mkmlizer: quantized model in 30.254s
zmeeks-capitanito-v4-mkmlizer: Processed model zmeeks/capitanito in 62.205s
zmeeks-capitanito-v4-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-v4
zmeeks-capitanito-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-v4/config.json
zmeeks-capitanito-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-v4/special_tokens_map.json
zmeeks-capitanito-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-v4/tokenizer_config.json
zmeeks-capitanito-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-v4/tokenizer.json
zmeeks-capitanito-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-v4/flywheel_model.0.safetensors
zmeeks-capitanito-v4-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:10, 33.27it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:06, 52.88it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:07, 46.91it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:07, 45.34it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 51.40it/s] Loading 0: 10%|█ | 37/363 [00:00<00:06, 47.15it/s] Loading 0: 12%|█▏ | 42/363 [00:00<00:06, 46.00it/s] Loading 0: 13%|█▎ | 49/363 [00:01<00:06, 51.03it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 47.12it/s] Loading 0: 17%|█▋ | 61/363 [00:01<00:08, 36.02it/s] Loading 0: 18%|█▊ | 66/363 [00:01<00:08, 36.99it/s] Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 40.95it/s] Loading 0: 21%|██▏ | 78/363 [00:01<00:07, 40.17it/s] Loading 0: 23%|██▎ | 83/363 [00:01<00:06, 40.71it/s] Loading 0: 25%|██▍ | 90/363 [00:02<00:05, 45.73it/s] Loading 0: 26%|██▋ | 96/363 [00:02<00:06, 42.91it/s] Loading 0: 28%|██▊ | 101/363 [00:02<00:06, 42.21it/s] Loading 0: 29%|██▉ | 107/363 [00:02<00:05, 46.45it/s] Loading 0: 31%|███ | 112/363 [00:02<00:05, 47.19it/s] Loading 0: 32%|███▏ | 117/363 [00:02<00:05, 43.62it/s] Loading 0: 34%|███▎ | 122/363 [00:02<00:05, 44.48it/s] Loading 0: 35%|███▍ | 127/363 [00:02<00:06, 37.65it/s] Loading 0: 37%|███▋ | 134/363 [00:03<00:05, 44.43it/s] Loading 0: 38%|███▊ | 139/363 [00:03<00:05, 44.21it/s] Loading 0: 40%|███▉ | 144/363 [00:03<00:07, 28.57it/s] Loading 0: 41%|████ | 149/363 [00:03<00:06, 30.67it/s] Loading 0: 43%|████▎ | 156/363 [00:03<00:05, 38.28it/s] Loading 0: 44%|████▍ | 161/363 [00:03<00:05, 40.12it/s] Loading 0: 46%|████▌ | 166/363 [00:03<00:04, 41.71it/s] Loading 0: 47%|████▋ | 172/363 [00:04<00:04, 40.17it/s] Loading 0: 49%|████▉ | 177/363 [00:04<00:04, 38.88it/s] Loading 0: 50%|█████ | 183/363 [00:04<00:04, 43.63it/s] Loading 0: 52%|█████▏ | 188/363 [00:04<00:04, 42.82it/s] Loading 0: 53%|█████▎ | 193/363 [00:04<00:03, 43.36it/s] Loading 0: 55%|█████▍ | 198/363 [00:04<00:03, 44.74it/s] Loading 0: 56%|█████▌ | 203/363 [00:04<00:04, 38.15it/s] Loading 0: 58%|█████▊ | 211/363 [00:05<00:03, 46.12it/s] Loading 0: 60%|█████▉ | 217/363 [00:05<00:03, 42.53it/s] Loading 0: 61%|██████▏ | 223/363 [00:05<00:04, 33.98it/s] Loading 0: 63%|██████▎ | 227/363 [00:05<00:03, 34.52it/s] Loading 0: 64%|██████▎ | 231/363 [00:05<00:04, 32.89it/s] Loading 0: 65%|██████▌ | 237/363 [00:05<00:03, 38.22it/s] Loading 0: 67%|██████▋ | 242/363 [00:05<00:03, 38.19it/s] Loading 0: 68%|██████▊ | 247/363 [00:06<00:02, 38.72it/s] Loading 0: 69%|██████▉ | 252/363 [00:06<00:02, 40.12it/s] Loading 0: 71%|███████ | 257/363 [00:06<00:03, 33.91it/s] Loading 0: 73%|███████▎ | 264/363 [00:06<00:02, 40.32it/s] Loading 0: 74%|███████▍ | 269/363 [00:06<00:02, 40.77it/s] Loading 0: 75%|███████▌ | 274/363 [00:06<00:02, 41.84it/s] Loading 0: 77%|███████▋ | 279/363 [00:06<00:01, 43.77it/s] Loading 0: 78%|███████▊ | 284/363 [00:07<00:02, 35.31it/s] Loading 0: 80%|████████ | 291/363 [00:07<00:01, 42.71it/s] Loading 0: 82%|████████▏ | 296/363 [00:07<00:01, 43.04it/s] Loading 0: 83%|████████▎ | 302/363 [00:07<00:01, 46.75it/s] Loading 0: 85%|████████▍ | 307/363 [00:07<00:02, 20.59it/s] Loading 0: 86%|████████▌ | 311/363 [00:08<00:02, 23.27it/s] Loading 0: 87%|████████▋ | 317/363 [00:08<00:01, 26.71it/s] Loading 0: 88%|████████▊ | 321/363 [00:08<00:01, 27.81it/s] Loading 0: 90%|█████████ | 328/363 [00:08<00:00, 35.54it/s] Loading 0: 92%|█████████▏| 333/363 [00:08<00:00, 37.28it/s] Loading 0: 93%|█████████▎| 338/363 [00:08<00:00, 39.41it/s] Loading 0: 95%|█████████▍| 344/363 [00:08<00:00, 39.07it/s] Loading 0: 96%|█████████▌| 349/363 [00:08<00:00, 39.39it/s] Loading 0: 98%|█████████▊| 355/363 [00:09<00:00, 44.05it/s] Loading 0: 99%|█████████▉| 360/363 [00:09<00:00, 44.14it/s]
Job zmeeks-capitanito-v4-mkmlizer completed after 84.85s with status: succeeded
Stopping job with name zmeeks-capitanito-v4-mkmlizer
Pipeline stage MKMLizer completed in 85.40s
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-capitanito-v4
Waiting for inference service zmeeks-capitanito-v4 to be ready
Inference service zmeeks-capitanito-v4 ready after 301.7553994655609s
Pipeline stage MKMLDeployer completed in 302.80s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3243608474731445s
Received healthy response to inference request in 1.5605888366699219s
Received healthy response to inference request in 1.8387374877929688s
Received healthy response to inference request in 1.8679533004760742s
Received healthy response to inference request in 1.6000337600708008s
5 requests
0 failed requests
5th percentile: 1.5684778213500976
10th percentile: 1.5763668060302733
20th percentile: 1.592144775390625
30th percentile: 1.6477745056152344
40th percentile: 1.7432559967041015
50th percentile: 1.8387374877929688
60th percentile: 1.850423812866211
70th percentile: 1.8621101379394531
80th percentile: 1.9592348098754884
90th percentile: 2.1417978286743162
95th percentile: 2.2330793380737304
99th percentile: 2.3061045455932616
mean time: 1.838334846496582
Pipeline stage StressChecker completed in 10.58s
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 0.70s
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 0.67s
Shutdown handler de-registered
zmeeks-capitanito_v4 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
Pipeline stage OfflineFamilyFriendlyScorer completed in 6149.77s
Shutdown handler de-registered
zmeeks-capitanito_v4 status is now inactive due to auto deactivation removed underperforming models
zmeeks-capitanito_v4 status is now torndown due to DeploymentManager action