developer_uid: zmeeks
submission_id: zmeeks-capitanito-29_v12
model_name: capitanito_t11_k50__z29__ppmmp
model_group: zmeeks/capitanito__29
status: torndown
timestamp: 2025-07-12T23:55:11+00:00
num_battles: 6935
num_wins: 3179
celo_rating: 1252.14
family_friendly_score: 0.581
family_friendly_standard_error: 0.006977664365674233
submission_type: basic
model_repo: zmeeks/capitanito__29
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': 0.6136481222448278, 'latency_mean': 1.6294925010204315, 'latency_p50': 1.635144829750061, 'latency_p90': 1.8014804363250732}, {'batch_size': 3, 'throughput': 1.1071550783601967, 'latency_mean': 2.7057950818538665, 'latency_p50': 2.7141950130462646, 'latency_p90': 2.9541162252426147}, {'batch_size': 5, 'throughput': 1.335076541904228, 'latency_mean': 3.7334823596477507, 'latency_p50': 3.769939661026001, 'latency_p90': 4.159584403038025}, {'batch_size': 6, 'throughput': 1.409790872816955, 'latency_mean': 4.238962434530258, 'latency_p50': 4.238056421279907, 'latency_p90': 4.743969917297363}, {'batch_size': 8, 'throughput': 1.4513762615646952, 'latency_mean': 5.47257638335228, 'latency_p50': 5.4349541664123535, 'latency_p90': 6.118771982192993}, {'batch_size': 10, 'throughput': 1.4893722465311003, 'latency_mean': 6.654156523942947, 'latency_p50': 6.607527494430542, 'latency_p90': 7.532087397575379}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: capitanito_t11_k50__z29__ppmmp
is_internal_developer: False
language_model: zmeeks/capitanito__29
model_size: 13B
ranking_group: single
throughput_3p7s: 1.33
us_pacific_date: 2025-07-12
win_ratio: 0.4583994232155732
generation_params: {'temperature': 1.1, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 50, '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': True}
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-29-v12-mkmlizer
Waiting for job on zmeeks-capitanito-29-v12-mkmlizer to finish
zmeeks-capitanito-29-v12-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zmeeks-capitanito-29-v12-mkmlizer: ║ ║
zmeeks-capitanito-29-v12-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
zmeeks-capitanito-29-v12-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
zmeeks-capitanito-29-v12-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
zmeeks-capitanito-29-v12-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
zmeeks-capitanito-29-v12-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
zmeeks-capitanito-29-v12-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
zmeeks-capitanito-29-v12-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
zmeeks-capitanito-29-v12-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
zmeeks-capitanito-29-v12-mkmlizer: ║ ║
zmeeks-capitanito-29-v12-mkmlizer: ║ Version: 0.29.15 ║
zmeeks-capitanito-29-v12-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
zmeeks-capitanito-29-v12-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
zmeeks-capitanito-29-v12-mkmlizer: ║ https://mk1.ai ║
zmeeks-capitanito-29-v12-mkmlizer: ║ ║
zmeeks-capitanito-29-v12-mkmlizer: ║ The license key for the current software has been verified as ║
zmeeks-capitanito-29-v12-mkmlizer: ║ belonging to: ║
zmeeks-capitanito-29-v12-mkmlizer: ║ ║
zmeeks-capitanito-29-v12-mkmlizer: ║ Chai Research Corp. ║
zmeeks-capitanito-29-v12-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zmeeks-capitanito-29-v12-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
zmeeks-capitanito-29-v12-mkmlizer: ║ ║
zmeeks-capitanito-29-v12-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-29-v12-mkmlizer: Downloaded to shared memory in 28.390s
zmeeks-capitanito-29-v12-mkmlizer: Checking if zmeeks/capitanito__29 already exists in ChaiML
zmeeks-capitanito-29-v12-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdwhddb6d, device:0
zmeeks-capitanito-29-v12-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitanito-29-v12-mkmlizer: quantized model in 30.311s
zmeeks-capitanito-29-v12-mkmlizer: Processed model zmeeks/capitanito__29 in 58.788s
zmeeks-capitanito-29-v12-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-29-v12-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-29-v12-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-29-v12/nvidia
zmeeks-capitanito-29-v12-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-29-v12/nvidia/config.json
zmeeks-capitanito-29-v12-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-29-v12/nvidia/special_tokens_map.json
zmeeks-capitanito-29-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-29-v12/nvidia/tokenizer_config.json
zmeeks-capitanito-29-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-29-v12/nvidia/tokenizer.json
zmeeks-capitanito-29-v12-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-29-v12/nvidia/flywheel_model.0.safetensors
zmeeks-capitanito-29-v12-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:11, 30.59it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:06, 50.87it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:07, 47.02it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:07, 45.30it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 51.21it/s] Loading 0: 10%|█ | 37/363 [00:00<00:06, 47.69it/s] Loading 0: 12%|█▏ | 42/363 [00:00<00:06, 46.23it/s] Loading 0: 13%|█▎ | 49/363 [00:01<00:06, 51.06it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 44.85it/s] Loading 0: 17%|█▋ | 61/363 [00:01<00:08, 33.83it/s] Loading 0: 18%|█▊ | 65/363 [00:01<00:09, 32.77it/s] Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 38.86it/s] Loading 0: 21%|██ | 77/363 [00:01<00:06, 41.22it/s] Loading 0: 23%|██▎ | 82/363 [00:01<00:07, 36.44it/s] Loading 0: 25%|██▍ | 90/363 [00:02<00:06, 44.40it/s] Loading 0: 26%|██▌ | 95/363 [00:02<00:05, 45.36it/s] Loading 0: 28%|██▊ | 100/363 [00:02<00:07, 36.56it/s] Loading 0: 29%|██▉ | 106/363 [00:02<00:06, 41.54it/s] Loading 0: 31%|███ | 112/363 [00:02<00:05, 44.80it/s] Loading 0: 32%|███▏ | 117/363 [00:02<00:05, 42.00it/s] Loading 0: 34%|███▎ | 122/363 [00:02<00:05, 42.12it/s] Loading 0: 35%|███▍ | 127/363 [00:03<00:06, 35.45it/s] Loading 0: 37%|███▋ | 134/363 [00:03<00:05, 41.84it/s] Loading 0: 38%|███▊ | 139/363 [00:03<00:05, 40.58it/s] Loading 0: 40%|███▉ | 144/363 [00:03<00:08, 25.79it/s] Loading 0: 41%|████ | 149/363 [00:03<00:07, 27.56it/s] Loading 0: 43%|████▎ | 156/363 [00:03<00:06, 34.22it/s] Loading 0: 44%|████▍ | 161/363 [00:04<00:05, 35.32it/s] Loading 0: 46%|████▌ | 166/363 [00:04<00:05, 37.00it/s] Loading 0: 47%|████▋ | 171/363 [00:04<00:04, 39.49it/s] Loading 0: 48%|████▊ | 176/363 [00:04<00:05, 33.87it/s] Loading 0: 50%|█████ | 183/363 [00:04<00:04, 41.32it/s] Loading 0: 52%|█████▏ | 188/363 [00:04<00:04, 40.29it/s] Loading 0: 53%|█████▎ | 193/363 [00:04<00:04, 40.26it/s] Loading 0: 55%|█████▍ | 198/363 [00:05<00:03, 41.71it/s] Loading 0: 56%|█████▌ | 203/363 [00:05<00:04, 34.31it/s] Loading 0: 58%|█████▊ | 210/363 [00:05<00:03, 41.12it/s] Loading 0: 59%|█████▉ | 215/363 [00:05<00:03, 41.12it/s] Loading 0: 61%|██████ | 221/363 [00:05<00:03, 45.14it/s] Loading 0: 62%|██████▏ | 226/363 [00:05<00:04, 27.91it/s] Loading 0: 63%|██████▎ | 230/363 [00:06<00:04, 28.66it/s] Loading 0: 65%|██████▌ | 237/363 [00:06<00:03, 36.52it/s] Loading 0: 67%|██████▋ | 242/363 [00:06<00:03, 37.27it/s] Loading 0: 68%|██████▊ | 247/363 [00:06<00:02, 38.70it/s] Loading 0: 69%|██████▉ | 252/363 [00:06<00:02, 41.34it/s] Loading 0: 71%|███████ | 257/363 [00:06<00:02, 36.07it/s] Loading 0: 73%|███████▎ | 264/363 [00:06<00:02, 42.81it/s] Loading 0: 74%|███████▍ | 269/363 [00:06<00:02, 43.30it/s] Loading 0: 75%|███████▌ | 274/363 [00:07<00:02, 43.30it/s] Loading 0: 77%|███████▋ | 279/363 [00:07<00:01, 44.16it/s] Loading 0: 78%|███████▊ | 284/363 [00:07<00:02, 37.63it/s] Loading 0: 80%|████████ | 291/363 [00:07<00:01, 45.08it/s] Loading 0: 82%|████████▏ | 296/363 [00:07<00:01, 44.39it/s] Loading 0: 83%|████████▎ | 301/363 [00:07<00:01, 45.17it/s] Loading 0: 84%|████████▍ | 306/363 [00:08<00:02, 24.06it/s] Loading 0: 85%|████████▌ | 310/363 [00:08<00:02, 25.13it/s] Loading 0: 87%|████████▋ | 314/363 [00:08<00:01, 27.64it/s] Loading 0: 88%|████████▊ | 320/363 [00:08<00:01, 33.82it/s] Loading 0: 90%|████████▉ | 326/363 [00:08<00:01, 36.00it/s] Loading 0: 91%|█████████ | 331/363 [00:08<00:00, 37.78it/s] Loading 0: 93%|█████████▎| 338/363 [00:08<00:00, 43.90it/s] Loading 0: 95%|█████████▍| 344/363 [00:08<00:00, 42.80it/s] Loading 0: 96%|█████████▌| 349/363 [00:09<00:00, 42.11it/s] Loading 0: 98%|█████████▊| 356/363 [00:09<00:00, 46.99it/s] Loading 0: 100%|█████████▉| 362/363 [00:09<00:00, 44.89it/s]
Job zmeeks-capitanito-29-v12-mkmlizer completed after 84.87s with status: succeeded
Stopping job with name zmeeks-capitanito-29-v12-mkmlizer
Pipeline stage MKMLizer completed in 85.37s
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-29-v12
Waiting for inference service zmeeks-capitanito-29-v12 to be ready
Inference service zmeeks-capitanito-29-v12 ready after 220.74813103675842s
Pipeline stage MKMLDeployer completed in 221.18s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.105205774307251s
Received healthy response to inference request in 1.4888639450073242s
Received healthy response to inference request in 1.5266778469085693s
Received healthy response to inference request in 1.620248794555664s
5 requests
1 failed requests
5th percentile: 1.4964267253875732
10th percentile: 1.5039895057678223
20th percentile: 1.5191150665283204
30th percentile: 1.5453920364379883
40th percentile: 1.5828204154968262
50th percentile: 1.620248794555664
60th percentile: 1.8142315864562988
70th percentile: 2.0082143783569335
80th percentile: 5.713829612731937
90th percentile: 12.9310772895813
95th percentile: 16.53970112800598
99th percentile: 19.426600198745728
mean time: 5.377864265441895
%s, retrying in %s seconds...
Received healthy response to inference request in 1.3491885662078857s
Received healthy response to inference request in 1.5575430393218994s
Received healthy response to inference request in 1.739624261856079s
Received healthy response to inference request in 2.3198928833007812s
Received healthy response to inference request in 1.7827675342559814s
5 requests
0 failed requests
5th percentile: 1.3908594608306886
10th percentile: 1.4325303554534912
20th percentile: 1.5158721446990966
30th percentile: 1.5939592838287353
40th percentile: 1.6667917728424073
50th percentile: 1.739624261856079
60th percentile: 1.7568815708160401
70th percentile: 1.774138879776001
80th percentile: 1.8901926040649415
90th percentile: 2.105042743682861
95th percentile: 2.212467813491821
99th percentile: 2.2984078693389893
mean time: 1.7498032569885253
Pipeline stage StressChecker completed in 38.17s
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 0.68s
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 1.06s
Shutdown handler de-registered
zmeeks-capitanito-29_v12 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 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service zmeeks-capitanito-29-v12-profiler
Waiting for inference service zmeeks-capitanito-29-v12-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 3014.06s
Shutdown handler de-registered
zmeeks-capitanito-29_v12 status is now inactive due to auto deactivation removed underperforming models
zmeeks-capitanito-29_v12 status is now torndown due to DeploymentManager action