developer_uid: zmeeks
submission_id: zmeeks-capitancito_v7
model_name: zcito-115-095_k30
model_group: zmeeks/capitancito
status: torndown
timestamp: 2025-06-29T22:07:24+00:00
num_battles: 6260
num_wins: 3339
celo_rating: 1269.52
family_friendly_score: 0.567
family_friendly_standard_error: 0.007007296197535822
submission_type: basic
model_repo: zmeeks/capitancito
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': 0.5909619147572157, 'latency_mean': 1.691974321603775, 'latency_p50': 1.6823203563690186, 'latency_p90': 1.880982804298401}, {'batch_size': 3, 'throughput': 1.0562899189121533, 'latency_mean': 2.830280054807663, 'latency_p50': 2.8261438608169556, 'latency_p90': 3.09972984790802}, {'batch_size': 5, 'throughput': 1.263286292110173, 'latency_mean': 3.939613606929779, 'latency_p50': 3.9770134687423706, 'latency_p90': 4.325312089920044}, {'batch_size': 6, 'throughput': 1.3250052794190001, 'latency_mean': 4.503221280574799, 'latency_p50': 4.48468017578125, 'latency_p90': 5.132144832611084}, {'batch_size': 8, 'throughput': 1.391276992153098, 'latency_mean': 5.70107065320015, 'latency_p50': 5.7139283418655396, 'latency_p90': 6.520649099349975}, {'batch_size': 10, 'throughput': 1.4201728454651208, 'latency_mean': 6.9810501730442045, 'latency_p50': 6.982766032218933, 'latency_p90': 7.776175999641418}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: zcito-115-095_k30
is_internal_developer: False
language_model: zmeeks/capitancito
model_size: 13B
ranking_group: single
throughput_3p7s: 1.23
us_pacific_date: 2025-06-29
win_ratio: 0.5333865814696486
generation_params: {'temperature': 1.15, 'top_p': 0.95, 'min_p': 0.0, 'top_k': 30, '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-capitancito-v7-mkmlizer
Waiting for job on zmeeks-capitancito-v7-mkmlizer to finish
zmeeks-capitancito-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zmeeks-capitancito-v7-mkmlizer: ║ ║
zmeeks-capitancito-v7-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
zmeeks-capitancito-v7-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
zmeeks-capitancito-v7-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
zmeeks-capitancito-v7-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
zmeeks-capitancito-v7-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
zmeeks-capitancito-v7-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
zmeeks-capitancito-v7-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
zmeeks-capitancito-v7-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
zmeeks-capitancito-v7-mkmlizer: ║ ║
zmeeks-capitancito-v7-mkmlizer: ║ Version: 0.29.3 ║
zmeeks-capitancito-v7-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
zmeeks-capitancito-v7-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
zmeeks-capitancito-v7-mkmlizer: ║ https://mk1.ai ║
zmeeks-capitancito-v7-mkmlizer: ║ ║
zmeeks-capitancito-v7-mkmlizer: ║ The license key for the current software has been verified as ║
zmeeks-capitancito-v7-mkmlizer: ║ belonging to: ║
zmeeks-capitancito-v7-mkmlizer: ║ ║
zmeeks-capitancito-v7-mkmlizer: ║ Chai Research Corp. ║
zmeeks-capitancito-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zmeeks-capitancito-v7-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
zmeeks-capitancito-v7-mkmlizer: ║ ║
zmeeks-capitancito-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitancito-v7-mkmlizer: Downloaded to shared memory in 46.881s
zmeeks-capitancito-v7-mkmlizer: Checking if zmeeks/capitancito already exists in ChaiML
zmeeks-capitancito-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpudon00c3, device:0
zmeeks-capitancito-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitancito-v7-mkmlizer: quantized model in 50.012s
zmeeks-capitancito-v7-mkmlizer: Processed model zmeeks/capitancito in 96.976s
zmeeks-capitancito-v7-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitancito-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitancito-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitancito-v7
zmeeks-capitancito-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitancito-v7/config.json
zmeeks-capitancito-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitancito-v7/special_tokens_map.json
zmeeks-capitancito-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitancito-v7/tokenizer_config.json
zmeeks-capitancito-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitancito-v7/tokenizer.json
zmeeks-capitancito-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitancito-v7/flywheel_model.0.safetensors
zmeeks-capitancito-v7-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%| | 2/363 [00:11<34:19, 5.70s/it] Loading 0: 2%|▏ | 6/363 [00:11<09:05, 1.53s/it] Loading 0: 3%|▎ | 11/363 [00:11<03:55, 1.49it/s] Loading 0: 4%|▍ | 15/363 [00:11<02:27, 2.36it/s] Loading 0: 6%|▌ | 22/363 [00:12<01:15, 4.49it/s] Loading 0: 7%|▋ | 26/363 [00:12<00:57, 5.89it/s] Loading 0: 8%|▊ | 30/363 [00:12<00:42, 7.81it/s] Loading 0: 9%|▉ | 34/363 [00:12<00:34, 9.65it/s] Loading 0: 11%|█ | 40/363 [00:12<00:29, 10.99it/s] Loading 0: 12%|█▏ | 43/363 [00:13<00:26, 12.05it/s] Loading 0: 13%|█▎ | 49/363 [00:13<00:18, 16.82it/s] Loading 0: 15%|█▍ | 53/363 [00:13<00:16, 18.37it/s] Loading 0: 16%|█▌ | 58/363 [00:13<00:13, 22.15it/s] Loading 0: 17%|█▋ | 62/363 [00:13<00:12, 23.76it/s] Loading 0: 18%|█▊ | 67/363 [00:13<00:10, 26.95it/s] Loading 0: 20%|█▉ | 71/363 [00:13<00:10, 26.97it/s] Loading 0: 21%|██ | 75/363 [00:14<00:09, 29.05it/s] Loading 0: 22%|██▏ | 79/363 [00:14<00:10, 26.25it/s] Loading 0: 23%|██▎ | 83/363 [00:14<00:10, 27.95it/s] Loading 0: 24%|██▍ | 87/363 [00:14<00:10, 26.46it/s] Loading 0: 25%|██▌ | 92/363 [00:14<00:08, 30.80it/s] Loading 0: 26%|██▋ | 96/363 [00:14<00:09, 28.13it/s] Loading 0: 28%|██▊ | 101/363 [00:14<00:08, 32.32it/s] Loading 0: 29%|██▉ | 105/363 [00:15<00:08, 28.72it/s] Loading 0: 30%|███ | 110/363 [00:15<00:07, 32.36it/s] Loading 0: 31%|███▏ | 114/363 [00:15<00:08, 27.96it/s] Loading 0: 33%|███▎ | 119/363 [00:15<00:07, 31.49it/s] Loading 0: 34%|███▍ | 123/363 [00:15<00:12, 18.84it/s] Loading 0: 35%|███▌ | 128/363 [00:16<00:09, 23.51it/s] Loading 0: 36%|███▋ | 132/363 [00:16<00:09, 23.42it/s] Loading 0: 38%|███▊ | 137/363 [00:16<00:08, 28.13it/s] Loading 0: 39%|███▉ | 141/363 [00:16<00:08, 25.19it/s] Loading 0: 40%|████ | 146/363 [00:16<00:07, 29.93it/s] Loading 0: 41%|████▏ | 150/363 [00:16<00:07, 28.00it/s] Loading 0: 43%|████▎ | 155/363 [00:16<00:06, 30.60it/s] Loading 0: 44%|████▍ | 159/363 [00:17<00:07, 27.26it/s] Loading 0: 45%|████▌ | 164/363 [00:17<00:06, 31.15it/s] Loading 0: 46%|████▋ | 168/363 [00:17<00:07, 27.05it/s] Loading 0: 48%|████▊ | 173/363 [00:17<00:06, 29.70it/s] Loading 0: 49%|████▉ | 177/363 [00:17<00:06, 27.40it/s] Loading 0: 50%|█████ | 182/363 [00:17<00:05, 30.86it/s] Loading 0: 51%|█████ | 186/363 [00:18<00:06, 28.04it/s] Loading 0: 53%|█████▎ | 191/363 [00:18<00:05, 31.04it/s] Loading 0: 54%|█████▎ | 195/363 [00:18<00:06, 27.77it/s] Loading 0: 55%|█████▌ | 200/363 [00:18<00:05, 30.86it/s] Loading 0: 56%|█████▌ | 204/363 [00:19<00:08, 17.77it/s] Loading 0: 58%|█████▊ | 209/363 [00:19<00:07, 21.61it/s] Loading 0: 59%|█████▊ | 213/363 [00:19<00:07, 21.20it/s] Loading 0: 60%|██████ | 218/363 [00:19<00:05, 25.13it/s] Loading 0: 61%|██████ | 222/363 [00:19<00:05, 23.82it/s] Loading 0: 63%|██████▎ | 227/363 [00:19<00:04, 28.02it/s] Loading 0: 64%|██████▎ | 231/363 [00:19<00:05, 24.65it/s] Loading 0: 65%|██████▌ | 236/363 [00:20<00:04, 27.92it/s] Loading 0: 66%|██████▌ | 240/363 [00:20<00:04, 25.42it/s] Loading 0: 67%|██████▋ | 245/363 [00:20<00:03, 30.28it/s] Loading 0: 69%|██████▊ | 249/363 [00:20<00:04, 27.54it/s] Loading 0: 70%|██████▉ | 254/363 [00:20<00:03, 31.39it/s] Loading 0: 71%|███████ | 258/363 [00:20<00:03, 27.44it/s] Loading 0: 72%|███████▏ | 263/363 [00:21<00:03, 31.41it/s] Loading 0: 74%|███████▎ | 267/363 [00:21<00:03, 28.06it/s] Loading 0: 75%|███████▍ | 272/363 [00:21<00:02, 31.83it/s] Loading 0: 76%|███████▌ | 276/363 [00:21<00:03, 26.93it/s] Loading 0: 77%|███████▋ | 281/363 [00:21<00:02, 30.30it/s] Loading 0: 79%|███████▊ | 285/363 [00:22<00:04, 17.73it/s] Loading 0: 80%|███████▉ | 290/363 [00:22<00:03, 22.26it/s] Loading 0: 81%|████████ | 294/363 [00:22<00:03, 22.17it/s] Loading 0: 82%|████████▏ | 299/363 [00:22<00:02, 26.78it/s] Loading 0: 83%|████████▎ | 303/363 [00:22<00:02, 24.97it/s] Loading 0: 85%|████████▍ | 308/363 [00:22<00:01, 29.51it/s] Loading 0: 86%|████████▌ | 312/363 [00:22<00:01, 26.11it/s] Loading 0: 87%|████████▋ | 317/363 [00:23<00:01, 30.20it/s] Loading 0: 88%|████████▊ | 321/363 [00:23<00:01, 27.06it/s] Loading 0: 90%|████████▉ | 326/363 [00:23<00:01, 29.95it/s] Loading 0: 91%|█████████ | 330/363 [00:23<00:01, 24.41it/s] Loading 0: 92%|█████████▏| 335/363 [00:23<00:00, 28.93it/s] Loading 0: 93%|█████████▎| 339/363 [00:23<00:00, 26.00it/s] Loading 0: 95%|█████████▍| 344/363 [00:24<00:00, 29.46it/s] Loading 0: 96%|█████████▌| 348/363 [00:24<00:00, 26.68it/s] Loading 0: 97%|█████████▋| 353/363 [00:24<00:00, 29.72it/s] Loading 0: 98%|█████████▊| 357/363 [00:24<00:00, 27.30it/s] Loading 0: 100%|█████████▉| 362/363 [00:24<00:00, 30.85it/s]
Job zmeeks-capitancito-v7-mkmlizer completed after 135.63s with status: succeeded
Stopping job with name zmeeks-capitancito-v7-mkmlizer
Pipeline stage MKMLizer completed in 136.16s
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-capitancito-v7
Waiting for inference service zmeeks-capitancito-v7 to be ready
Inference service zmeeks-capitancito-v7 ready after 332.260174036026s
Pipeline stage MKMLDeployer completed in 332.80s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.177166223526001s
Received healthy response to inference request in 1.4689548015594482s
Received healthy response to inference request in 1.617447853088379s
Received healthy response to inference request in 1.486525297164917s
Received healthy response to inference request in 1.8823492527008057s
5 requests
0 failed requests
5th percentile: 1.472468900680542
10th percentile: 1.4759829998016358
20th percentile: 1.4830111980438232
30th percentile: 1.5127098083496093
40th percentile: 1.5650788307189942
50th percentile: 1.617447853088379
60th percentile: 1.7234084129333496
70th percentile: 1.8293689727783202
80th percentile: 1.9413126468658448
90th percentile: 2.0592394351959227
95th percentile: 2.118202829360962
99th percentile: 2.165373544692993
mean time: 1.7264886856079102
Pipeline stage StressChecker completed in 10.19s
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 0.73s
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 0.71s
Shutdown handler de-registered
zmeeks-capitancito_v7 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 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service zmeeks-capitancito-v7-profiler
Waiting for inference service zmeeks-capitancito-v7-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 3589.90s
Shutdown handler de-registered
zmeeks-capitancito_v7 status is now inactive due to auto deactivation removed underperforming models
zmeeks-capitancito_v7 status is now torndown due to DeploymentManager action