zmeeks-capitanito-38

developer_uid: zmeeks

submission_id: zmeeks-capitanito-38_v2

model_name: capitanito_t11__38__ppmmp

model_group: zmeeks/capitanito__38

status: torndown

timestamp: 2025-07-14T05:29:29+00:00

num_battles: 6559

num_wins: 3070

celo_rating: 1253.64

family_friendly_score: 0.5844

family_friendly_standard_error: 0.006969600275482089

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': 0.5952502972922428, 'latency_mean': 1.679860383272171, 'latency_p50': 1.683465838432312, 'latency_p90': 1.843873381614685}, {'batch_size': 3, 'throughput': 1.0865961908729789, 'latency_mean': 2.7559400570392607, 'latency_p50': 2.765858769416809, 'latency_p90': 3.087577223777771}, {'batch_size': 5, 'throughput': 1.2954872039866066, 'latency_mean': 3.8396146392822263, 'latency_p50': 3.8817739486694336, 'latency_p90': 4.271276259422302}, {'batch_size': 6, 'throughput': 1.3483426663719387, 'latency_mean': 4.42652281999588, 'latency_p50': 4.446460485458374, 'latency_p90': 4.9151029825210575}, {'batch_size': 8, 'throughput': 1.4248542712685441, 'latency_mean': 5.570529412031174, 'latency_p50': 5.585714817047119, 'latency_p90': 6.240932750701904}, {'batch_size': 10, 'throughput': 1.4549829256738795, 'latency_mean': 6.808320610523224, 'latency_p50': 6.750302314758301, 'latency_p90': 7.715822696685791}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: capitanito_t11__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: 0.46805915535904863

generation_params: {'temperature': 1.1, '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-v2-mkmlizer
Waiting for job on zmeeks-capitanito-38-v2-mkmlizer to finish
zmeeks-capitanito-38-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zmeeks-capitanito-38-v2-mkmlizer: ║                                                                     ║
zmeeks-capitanito-38-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
zmeeks-capitanito-38-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
zmeeks-capitanito-38-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
zmeeks-capitanito-38-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
zmeeks-capitanito-38-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
zmeeks-capitanito-38-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
zmeeks-capitanito-38-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
zmeeks-capitanito-38-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
zmeeks-capitanito-38-v2-mkmlizer: ║                                                                     ║
zmeeks-capitanito-38-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
zmeeks-capitanito-38-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
zmeeks-capitanito-38-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
zmeeks-capitanito-38-v2-mkmlizer: ║  https://mk1.ai                                                     ║
zmeeks-capitanito-38-v2-mkmlizer: ║                                                                     ║
zmeeks-capitanito-38-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
zmeeks-capitanito-38-v2-mkmlizer: ║  belonging to:                                                      ║
zmeeks-capitanito-38-v2-mkmlizer: ║                                                                     ║
zmeeks-capitanito-38-v2-mkmlizer: ║  Chai Research Corp.                                                ║
zmeeks-capitanito-38-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zmeeks-capitanito-38-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
zmeeks-capitanito-38-v2-mkmlizer: ║                                                                     ║
zmeeks-capitanito-38-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-38-v2-mkmlizer: Downloaded to shared memory in 34.652s
zmeeks-capitanito-38-v2-mkmlizer: Checking if zmeeks/capitanito__38 already exists in ChaiML
zmeeks-capitanito-38-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpw7ra_86t, device:0
zmeeks-capitanito-38-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-38-v2-mkmlizer: quantized model in 30.916s
zmeeks-capitanito-38-v2-mkmlizer: Processed model zmeeks/capitanito__38 in 65.650s
zmeeks-capitanito-38-v2-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-38-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-38-v2/nvidia/tokenizer_config.json
zmeeks-capitanito-38-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-38-v2/nvidia/tokenizer.json
zmeeks-capitanito-38-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-38-v2/nvidia/flywheel_model.0.safetensors
zmeeks-capitanito-38-v2-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:11, 30.51it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:07, 49.05it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 43.73it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:08, 42.28it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 49.15it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:06, 46.98it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:07, 45.44it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:06, 50.61it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 47.56it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:08, 35.91it/s]
Loading 0:  18%|█▊        | 66/363 [00:01<00:08, 35.07it/s]
Loading 0:  20%|█▉        | 71/363 [00:01<00:07, 37.20it/s]
Loading 0:  21%|██        | 76/363 [00:01<00:07, 37.16it/s]
Loading 0:  22%|██▏       | 80/363 [00:01<00:07, 37.09it/s]
Loading 0:  23%|██▎       | 84/363 [00:02<00:07, 35.12it/s]
Loading 0:  25%|██▍       | 89/363 [00:02<00:07, 36.95it/s]
Loading 0:  26%|██▌       | 93/363 [00:02<00:07, 35.63it/s]
Loading 0:  27%|██▋       | 98/363 [00:02<00:06, 38.51it/s]
Loading 0:  28%|██▊       | 102/363 [00:02<00:07, 37.05it/s]
Loading 0:  29%|██▉       | 106/363 [00:02<00:06, 37.54it/s]
Loading 0:  31%|███       | 112/363 [00:02<00:05, 42.47it/s]
Loading 0:  32%|███▏      | 117/363 [00:02<00:06, 40.51it/s]
Loading 0:  34%|███▎      | 122/363 [00:03<00:05, 42.78it/s]
Loading 0:  35%|███▍      | 127/363 [00:03<00:06, 35.28it/s]
Loading 0:  37%|███▋      | 134/363 [00:03<00:05, 41.65it/s]
Loading 0:  38%|███▊      | 139/363 [00:03<00:05, 40.72it/s]
Loading 0:  40%|███▉      | 144/363 [00:03<00:08, 25.39it/s]
Loading 0:  41%|████      | 149/363 [00:03<00:07, 27.42it/s]
Loading 0:  43%|████▎     | 156/363 [00:04<00:05, 34.52it/s]
Loading 0:  44%|████▍     | 161/363 [00:04<00:05, 35.51it/s]
Loading 0:  46%|████▌     | 166/363 [00:04<00:05, 37.03it/s]
Loading 0:  47%|████▋     | 171/363 [00:04<00:04, 39.06it/s]
Loading 0:  48%|████▊     | 176/363 [00:04<00:05, 32.98it/s]
Loading 0:  50%|█████     | 183/363 [00:04<00:04, 39.16it/s]
Loading 0:  52%|█████▏    | 188/363 [00:04<00:04, 39.05it/s]
Loading 0:  53%|█████▎    | 193/363 [00:05<00:04, 40.28it/s]
Loading 0:  55%|█████▍    | 198/363 [00:05<00:03, 41.50it/s]
Loading 0:  56%|█████▌    | 203/363 [00:05<00:04, 34.64it/s]
Loading 0:  58%|█████▊    | 210/363 [00:05<00:03, 41.71it/s]
Loading 0:  59%|█████▉    | 215/363 [00:05<00:03, 42.06it/s]
Loading 0:  61%|██████    | 220/363 [00:05<00:03, 42.94it/s]
Loading 0:  62%|██████▏   | 225/363 [00:06<00:05, 26.96it/s]
Loading 0:  63%|██████▎   | 230/363 [00:06<00:04, 29.04it/s]
Loading 0:  65%|██████▌   | 237/363 [00:06<00:03, 36.20it/s]
Loading 0:  67%|██████▋   | 242/363 [00:06<00:03, 36.81it/s]
Loading 0:  68%|██████▊   | 247/363 [00:06<00:02, 38.72it/s]
Loading 0:  69%|██████▉   | 252/363 [00:06<00:02, 40.81it/s]
Loading 0:  71%|███████   | 257/363 [00:06<00:03, 34.21it/s]
Loading 0:  73%|███████▎  | 264/363 [00:06<00:02, 41.11it/s]
Loading 0:  74%|███████▍  | 269/363 [00:07<00:02, 41.47it/s]
Loading 0:  75%|███████▌  | 274/363 [00:07<00:02, 41.28it/s]
Loading 0:  77%|███████▋  | 279/363 [00:07<00:01, 42.66it/s]
Loading 0:  78%|███████▊  | 284/363 [00:07<00:02, 35.38it/s]
Loading 0:  80%|████████  | 291/363 [00:07<00:01, 42.34it/s]
Loading 0:  82%|████████▏ | 296/363 [00:07<00:01, 42.20it/s]
Loading 0:  83%|████████▎ | 302/363 [00:07<00:01, 46.38it/s]
Loading 0:  85%|████████▍ | 307/363 [00:08<00:02, 21.04it/s]
Loading 0:  86%|████████▌ | 312/363 [00:08<00:02, 23.05it/s]
Loading 0:  88%|████████▊ | 320/363 [00:08<00:01, 31.24it/s]
Loading 0:  90%|████████▉ | 326/363 [00:08<00:01, 33.46it/s]
Loading 0:  91%|█████████ | 331/363 [00:08<00:00, 33.54it/s]
Loading 0:  93%|█████████▎| 337/363 [00:09<00:00, 37.91it/s]
Loading 0:  94%|█████████▍| 342/363 [00:09<00:00, 38.09it/s]
Loading 0:  96%|█████████▌| 347/363 [00:09<00:00, 39.82it/s]
Loading 0:  97%|█████████▋| 353/363 [00:09<00:00, 40.12it/s]
Loading 0:  99%|█████████▊| 358/363 [00:09<00:00, 40.11it/s]
                                                            
Job zmeeks-capitanito-38-v2-mkmlizer completed after 95.51s with status: succeeded
Stopping job with name zmeeks-capitanito-38-v2-mkmlizer
Pipeline stage MKMLizer completed in 96.01s
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-38-v2
Waiting for inference service zmeeks-capitanito-38-v2 to be ready
Inference service zmeeks-capitanito-38-v2 ready after 231.47932744026184s
Pipeline stage MKMLDeployer completed in 232.06s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3308799266815186s
Received healthy response to inference request in 1.7781617641448975s
Received healthy response to inference request in 1.4737648963928223s
Received healthy response to inference request in 1.7080039978027344s
Received healthy response to inference request in 1.6111445426940918s
5 requests
0 failed requests
5th percentile: 1.5012408256530763
10th percentile: 1.52871675491333
20th percentile: 1.5836686134338378
30th percentile: 1.6305164337158202
40th percentile: 1.6692602157592773
50th percentile: 1.7080039978027344
60th percentile: 1.7360671043395997
70th percentile: 1.764130210876465
80th percentile: 1.8887053966522218
90th percentile: 2.1097926616668703
95th percentile: 2.2203362941741944
99th percentile: 2.3087712001800536
mean time: 1.780391025543213
Pipeline stage StressChecker completed in 11.84s
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 0.71s
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 0.98s
Shutdown handler de-registered
zmeeks-capitanito-38_v2 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 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service zmeeks-capitanito-38-v2-profiler
Waiting for inference service zmeeks-capitanito-38-v2-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 3403.07s
Shutdown handler de-registered
zmeeks-capitanito-38_v2 status is now inactive due to auto deactivation removed underperforming models
zmeeks-capitanito-38_v2 status is now torndown due to DeploymentManager action