developer_uid: Riverise
submission_id: riverise-captain-0908fb_22030_v1
model_name: riverise-captain-0908fb_22030_v1
model_group: Riverise/captain_0908fb_
status: torndown
timestamp: 2025-06-14T06:00:21+00:00
num_battles: 14416
num_wins: 6793
celo_rating: 1258.32
family_friendly_score: 0.5826
family_friendly_standard_error: 0.006973911958148023
submission_type: basic
model_repo: Riverise/captain_0908fb_cpkt_1500
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
display_name: riverise-captain-0908fb_22030_v1
is_internal_developer: False
language_model: Riverise/captain_0908fb_cpkt_1500
model_size: 13B
ranking_group: single
us_pacific_date: 2025-06-13
win_ratio: 0.47121254162042175
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, '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 riverise-captain-0908fb-22030-v1-mkmlizer
Waiting for job on riverise-captain-0908fb-22030-v1-mkmlizer to finish
riverise-captain-0908fb-22030-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-captain-0908fb-22030-v1-mkmlizer: ║ ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ Version: 0.27.1+vampire_v3 ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ https://mk1.ai ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ The license key for the current software has been verified as ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ belonging to: ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ Chai Research Corp. ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
riverise-captain-0908fb-22030-v1-mkmlizer: ║ ║
riverise-captain-0908fb-22030-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
riverise-captain-0908fb-22030-v1-mkmlizer: Downloaded to shared memory in 40.307s
riverise-captain-0908fb-22030-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp38vhtfww, device:0
riverise-captain-0908fb-22030-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
riverise-captain-0908fb-22030-v1-mkmlizer: quantized model in 30.907s
riverise-captain-0908fb-22030-v1-mkmlizer: Processed model Riverise/captain_0908fb_cpkt_1500 in 71.214s
riverise-captain-0908fb-22030-v1-mkmlizer: creating bucket guanaco-mkml-models
riverise-captain-0908fb-22030-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-captain-0908fb-22030-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-captain-0908fb-22030-v1
riverise-captain-0908fb-22030-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-captain-0908fb-22030-v1/config.json
riverise-captain-0908fb-22030-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-captain-0908fb-22030-v1/special_tokens_map.json
riverise-captain-0908fb-22030-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-captain-0908fb-22030-v1/tokenizer_config.json
riverise-captain-0908fb-22030-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-captain-0908fb-22030-v1/tokenizer.json
riverise-captain-0908fb-22030-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-captain-0908fb-22030-v1/flywheel_model.0.safetensors
riverise-captain-0908fb-22030-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:12, 29.10it/s] Loading 0: 3%|▎ | 12/363 [00:00<00:07, 46.93it/s] Loading 0: 5%|▍ | 18/363 [00:00<00:07, 49.19it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:08, 41.84it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 47.96it/s] Loading 0: 10%|█ | 37/363 [00:00<00:07, 45.49it/s] Loading 0: 12%|█▏ | 42/363 [00:00<00:07, 42.97it/s] Loading 0: 13%|█▎ | 49/363 [00:01<00:06, 48.28it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 45.69it/s] Loading 0: 17%|█▋ | 61/363 [00:01<00:08, 33.96it/s] Loading 0: 18%|█▊ | 65/363 [00:01<00:09, 32.55it/s] Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 39.31it/s] Loading 0: 21%|██▏ | 78/363 [00:01<00:07, 40.00it/s] Loading 0: 23%|██▎ | 83/363 [00:02<00:07, 39.95it/s] Loading 0: 25%|██▍ | 90/363 [00:02<00:06, 45.15it/s] Loading 0: 26%|██▋ | 96/363 [00:02<00:06, 43.71it/s] Loading 0: 28%|██▊ | 101/363 [00:02<00:06, 42.93it/s] Loading 0: 30%|██▉ | 108/363 [00:02<00:05, 48.93it/s] Loading 0: 31%|███▏ | 114/363 [00:02<00:05, 44.33it/s] Loading 0: 33%|███▎ | 119/363 [00:02<00:05, 42.63it/s] Loading 0: 34%|███▍ | 125/363 [00:02<00:05, 45.89it/s] Loading 0: 36%|███▌ | 130/363 [00:03<00:05, 43.70it/s] Loading 0: 37%|███▋ | 135/363 [00:03<00:05, 43.19it/s] Loading 0: 39%|███▊ | 140/363 [00:03<00:05, 44.17it/s] Loading 0: 40%|███▉ | 145/363 [00:03<00:08, 26.48it/s] Loading 0: 41%|████ | 149/363 [00:03<00:07, 26.88it/s] Loading 0: 43%|████▎ | 156/363 [00:03<00:06, 34.28it/s] Loading 0: 44%|████▍ | 161/363 [00:04<00:05, 35.51it/s] Loading 0: 46%|████▌ | 166/363 [00:04<00:05, 36.84it/s] Loading 0: 47%|████▋ | 171/363 [00:04<00:04, 38.87it/s] Loading 0: 48%|████▊ | 176/363 [00:04<00:05, 33.58it/s] Loading 0: 50%|█████ | 183/363 [00:04<00:04, 40.58it/s] Loading 0: 52%|█████▏ | 188/363 [00:04<00:04, 40.30it/s] Loading 0: 53%|█████▎ | 193/363 [00:04<00:04, 41.08it/s] Loading 0: 55%|█████▍ | 198/363 [00:04<00:03, 42.89it/s] Loading 0: 56%|█████▌ | 203/363 [00:05<00:04, 36.40it/s] Loading 0: 58%|█████▊ | 210/363 [00:05<00:03, 42.91it/s] Loading 0: 59%|█████▉ | 215/363 [00:05<00:03, 42.62it/s] Loading 0: 61%|██████ | 220/363 [00:05<00:03, 44.25it/s] Loading 0: 62%|██████▏ | 225/363 [00:05<00:05, 26.60it/s] Loading 0: 63%|██████▎ | 230/363 [00:05<00:04, 28.08it/s] Loading 0: 65%|██████▌ | 237/363 [00:06<00:03, 34.87it/s] Loading 0: 67%|██████▋ | 242/363 [00:06<00:03, 36.10it/s] Loading 0: 68%|██████▊ | 247/363 [00:06<00:03, 37.89it/s] Loading 0: 69%|██████▉ | 252/363 [00:06<00:02, 39.68it/s] Loading 0: 71%|███████ | 257/363 [00:06<00:03, 34.09it/s] Loading 0: 73%|███████▎ | 264/363 [00:06<00:02, 41.70it/s] Loading 0: 74%|███████▍ | 269/363 [00:06<00:02, 41.41it/s] Loading 0: 75%|███████▌ | 274/363 [00:06<00:02, 40.87it/s] Loading 0: 77%|███████▋ | 279/363 [00:07<00:01, 42.32it/s] Loading 0: 78%|███████▊ | 284/363 [00:07<00:02, 35.34it/s] Loading 0: 80%|████████ | 291/363 [00:07<00:01, 41.99it/s] Loading 0: 82%|████████▏ | 296/363 [00:07<00:01, 41.17it/s] Loading 0: 83%|████████▎ | 302/363 [00:07<00:01, 45.09it/s] Loading 0: 85%|████████▍ | 307/363 [00:08<00:02, 21.34it/s] Loading 0: 86%|████████▌ | 312/363 [00:08<00:02, 23.66it/s] Loading 0: 88%|████████▊ | 320/363 [00:08<00:01, 32.11it/s] Loading 0: 90%|████████▉ | 326/363 [00:08<00:01, 34.63it/s] Loading 0: 91%|█████████ | 331/363 [00:08<00:00, 35.93it/s] Loading 0: 93%|█████████▎| 338/363 [00:08<00:00, 41.74it/s] Loading 0: 95%|█████████▍| 344/363 [00:08<00:00, 41.23it/s] Loading 0: 96%|█████████▌| 349/363 [00:09<00:00, 40.97it/s] Loading 0: 98%|█████████▊| 355/363 [00:09<00:00, 45.21it/s] Loading 0: 99%|█████████▉| 360/363 [00:09<00:00, 44.81it/s]
Job riverise-captain-0908fb-22030-v1-mkmlizer completed after 94.16s with status: succeeded
Stopping job with name riverise-captain-0908fb-22030-v1-mkmlizer
Pipeline stage MKMLizer completed in 94.68s
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 riverise-captain-0908fb-22030-v1
Waiting for inference service riverise-captain-0908fb-22030-v1 to be ready
Inference service riverise-captain-0908fb-22030-v1 ready after 110.98492193222046s
Pipeline stage MKMLDeployer completed in 111.53s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4228827953338623s
Received healthy response to inference request in 1.9421710968017578s
Received healthy response to inference request in 1.7550077438354492s
Received healthy response to inference request in 1.7236568927764893s
Received healthy response to inference request in 1.6108109951019287s
5 requests
0 failed requests
5th percentile: 1.6333801746368408
10th percentile: 1.655949354171753
20th percentile: 1.7010877132415771
30th percentile: 1.7299270629882812
40th percentile: 1.7424674034118652
50th percentile: 1.7550077438354492
60th percentile: 1.8298730850219727
70th percentile: 1.904738426208496
80th percentile: 2.038313436508179
90th percentile: 2.2305981159210204
95th percentile: 2.326740455627441
99th percentile: 2.403654327392578
mean time: 1.8909059047698975
Pipeline stage StressChecker completed in 10.75s
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 0.90s
Shutdown handler de-registered
riverise-captain-0908fb_22030_v1 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 2529.58s
Shutdown handler de-registered
riverise-captain-0908fb_22030_v1 status is now inactive due to auto deactivation removed underperforming models
riverise-captain-0908fb_22030_v1 status is now torndown due to DeploymentManager action