marinaraspaghetti-nemom_1739

developer_uid: Luna1040
submission_id: marinaraspaghetti-nemom_1739_v65
model_name: marinaraspaghetti-nemom_1739_v65
model_group: MarinaraSpaghetti/NemoMi
status: torndown
timestamp: 2025-02-14T06:39:21+00:00
num_battles: 5400
num_wins: 2645
celo_rating: 1260.83
family_friendly_score: 0.5636
family_friendly_standard_error: 0.007013630158484265
submission_type: basic
model_repo: MarinaraSpaghetti/NemoMix-Unleashed-12B
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
display_name: marinaraspaghetti-nemom_1739_v65
is_internal_developer: False
language_model: MarinaraSpaghetti/NemoMix-Unleashed-12B
model_size: 13B
ranking_group: single
us_pacific_date: 2025-02-13
win_ratio: 0.4898148148148148
generation_params: {'temperature': 0.8, 'top_p': 0.8, 'min_p': 0.15, 'top_k': 70, 'presence_penalty': 0.15, 'frequency_penalty': 0.1, '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 marinaraspaghetti-nemom-1739-v65-mkmlizer
Waiting for job on marinaraspaghetti-nemom-1739-v65-mkmlizer to finish
marinaraspaghetti-nemom-1739-v65-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║     _____            __           __                                ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║       /___/                                                         ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║                                                                     ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║  Version: 0.12.8                                                    ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║  https://mk1.ai                                                     ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║                                                                     ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║  The license key for the current software has been verified as      ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║  belonging to:                                                      ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║                                                                     ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║  Chai Research Corp.                                                ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ║                                                                     ║
marinaraspaghetti-nemom-1739-v65-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
marinaraspaghetti-nemom-1739-v65-mkmlizer: quantized model in 38.237s
marinaraspaghetti-nemom-1739-v65-mkmlizer: Processed model MarinaraSpaghetti/NemoMix-Unleashed-12B in 68.478s
marinaraspaghetti-nemom-1739-v65-mkmlizer: creating bucket guanaco-mkml-models
marinaraspaghetti-nemom-1739-v65-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
marinaraspaghetti-nemom-1739-v65-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v65
marinaraspaghetti-nemom-1739-v65-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v65/config.json
marinaraspaghetti-nemom-1739-v65-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v65/special_tokens_map.json
marinaraspaghetti-nemom-1739-v65-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v65/tokenizer_config.json
marinaraspaghetti-nemom-1739-v65-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v65/tokenizer.json
marinaraspaghetti-nemom-1739-v65-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v65/flywheel_model.0.safetensors
marinaraspaghetti-nemom-1739-v65-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:06<18:35,  3.09s/it]
Loading 0:   2%|▏         | 6/363 [00:06<04:56,  1.20it/s]
Loading 0:   3%|▎         | 11/363 [00:06<02:10,  2.70it/s]
Loading 0:   4%|▍         | 15/363 [00:06<01:22,  4.20it/s]
Loading 0:   6%|▌         | 22/363 [00:06<00:43,  7.80it/s]
Loading 0:   7%|▋         | 26/363 [00:06<00:34,  9.91it/s]
Loading 0:   9%|▊         | 31/363 [00:06<00:24, 13.42it/s]
Loading 0:  10%|▉         | 35/363 [00:07<00:20, 16.01it/s]
Loading 0:  11%|█         | 40/363 [00:07<00:20, 15.61it/s]
Loading 0:  12%|█▏        | 43/363 [00:07<00:18, 16.94it/s]
Loading 0:  13%|█▎        | 47/363 [00:07<00:15, 20.34it/s]
Loading 0:  14%|█▍        | 51/363 [00:07<00:14, 21.56it/s]
Loading 0:  15%|█▌        | 56/363 [00:07<00:11, 26.51it/s]
Loading 0:  17%|█▋        | 60/363 [00:08<00:11, 26.45it/s]
Loading 0:  18%|█▊        | 65/363 [00:08<00:09, 31.33it/s]
Loading 0:  19%|█▉        | 69/363 [00:08<00:09, 30.06it/s]
Loading 0:  20%|██        | 74/363 [00:08<00:08, 34.49it/s]
Loading 0:  21%|██▏       | 78/363 [00:08<00:08, 31.88it/s]
Loading 0:  23%|██▎       | 85/363 [00:08<00:06, 40.09it/s]
Loading 0:  25%|██▍       | 90/363 [00:08<00:06, 40.75it/s]
Loading 0:  26%|██▌       | 95/363 [00:08<00:06, 40.59it/s]
Loading 0:  28%|██▊       | 100/363 [00:09<00:06, 41.31it/s]
Loading 0:  29%|██▉       | 105/363 [00:09<00:07, 32.66it/s]
Loading 0:  30%|███       | 110/363 [00:09<00:06, 36.17it/s]
Loading 0:  32%|███▏      | 115/363 [00:09<00:07, 34.28it/s]
Loading 0:  33%|███▎      | 121/363 [00:09<00:09, 24.23it/s]
Loading 0:  34%|███▍      | 125/363 [00:10<00:09, 25.40it/s]
Loading 0:  36%|███▌      | 130/363 [00:10<00:08, 28.70it/s]
Loading 0:  37%|███▋      | 134/363 [00:10<00:07, 29.21it/s]
Loading 0:  38%|███▊      | 139/363 [00:10<00:07, 31.70it/s]
Loading 0:  39%|███▉      | 143/363 [00:10<00:06, 32.03it/s]
Loading 0:  41%|████      | 148/363 [00:10<00:05, 35.91it/s]
Loading 0:  42%|████▏     | 152/363 [00:10<00:05, 35.49it/s]
Loading 0:  43%|████▎     | 157/363 [00:10<00:05, 37.06it/s]
Loading 0:  44%|████▍     | 161/363 [00:11<00:05, 35.17it/s]
Loading 0:  46%|████▌     | 166/363 [00:11<00:05, 37.03it/s]
Loading 0:  47%|████▋     | 170/363 [00:11<00:06, 30.99it/s]
Loading 0:  48%|████▊     | 175/363 [00:11<00:05, 34.38it/s]
Loading 0:  49%|████▉     | 179/363 [00:11<00:05, 34.60it/s]
Loading 0:  51%|█████     | 184/363 [00:11<00:04, 36.67it/s]
Loading 0:  52%|█████▏    | 188/363 [00:11<00:04, 36.42it/s]
Loading 0:  53%|█████▎    | 193/363 [00:11<00:04, 38.04it/s]
Loading 0:  54%|█████▍    | 197/363 [00:12<00:04, 36.45it/s]
Loading 0:  56%|█████▌    | 202/363 [00:12<00:07, 22.11it/s]
Loading 0:  56%|█████▋    | 205/363 [00:12<00:07, 22.56it/s]
Loading 0:  58%|█████▊    | 211/363 [00:12<00:05, 28.18it/s]
Loading 0:  59%|█████▉    | 215/363 [00:12<00:05, 29.22it/s]
Loading 0:  61%|██████    | 220/363 [00:12<00:04, 32.25it/s]
Loading 0:  62%|██████▏   | 224/363 [00:13<00:04, 31.91it/s]
Loading 0:  63%|██████▎   | 228/363 [00:13<00:04, 33.73it/s]
Loading 0:  64%|██████▍   | 232/363 [00:13<00:04, 30.74it/s]
Loading 0:  66%|██████▌   | 238/363 [00:13<00:03, 36.50it/s]
Loading 0:  67%|██████▋   | 242/363 [00:13<00:03, 35.25it/s]
Loading 0:  68%|██████▊   | 246/363 [00:13<00:03, 36.23it/s]
Loading 0:  69%|██████▉   | 250/363 [00:13<00:03, 32.31it/s]
Loading 0:  70%|██████▉   | 254/363 [00:13<00:03, 33.43it/s]
Loading 0:  71%|███████   | 258/363 [00:14<00:03, 30.12it/s]
Loading 0:  72%|███████▏  | 263/363 [00:14<00:02, 34.35it/s]
Loading 0:  74%|███████▎  | 267/363 [00:14<00:02, 32.08it/s]
Loading 0:  75%|███████▌  | 274/363 [00:14<00:02, 40.15it/s]
Loading 0:  77%|███████▋  | 279/363 [00:14<00:02, 38.99it/s]
Loading 0:  78%|███████▊  | 284/363 [00:14<00:03, 25.13it/s]
Loading 0:  79%|███████▉  | 288/363 [00:15<00:02, 26.82it/s]
Loading 0:  80%|████████  | 292/363 [00:15<00:02, 28.03it/s]
Loading 0:  82%|████████▏ | 296/363 [00:15<00:02, 29.54it/s]
Loading 0:  83%|████████▎ | 302/363 [00:15<00:01, 35.13it/s]
Loading 0:  84%|████████▍ | 306/363 [00:15<00:01, 34.71it/s]
Loading 0:  85%|████████▌ | 310/363 [00:15<00:01, 33.96it/s]
Loading 0:  87%|████████▋ | 314/363 [00:15<00:01, 33.20it/s]
Loading 0:  88%|████████▊ | 319/363 [00:15<00:01, 35.60it/s]
Loading 0:  89%|████████▉ | 323/363 [00:16<00:01, 34.80it/s]
Loading 0:  90%|█████████ | 328/363 [00:16<00:00, 36.70it/s]
Loading 0:  91%|█████████▏| 332/363 [00:16<00:00, 33.86it/s]
Loading 0:  93%|█████████▎| 337/363 [00:16<00:00, 36.48it/s]
Loading 0:  94%|█████████▍| 341/363 [00:16<00:00, 35.93it/s]
Loading 0:  95%|█████████▌| 346/363 [00:16<00:00, 39.32it/s]
Loading 0:  97%|█████████▋| 351/363 [00:16<00:00, 39.94it/s]
Loading 0:  98%|█████████▊| 356/363 [00:16<00:00, 41.74it/s]
Loading 0: 100%|█████████▉| 362/363 [00:17<00:00, 41.33it/s]
                                                            
Job marinaraspaghetti-nemom-1739-v65-mkmlizer completed after 94.02s with status: succeeded
Stopping job with name marinaraspaghetti-nemom-1739-v65-mkmlizer
Pipeline stage MKMLizer completed in 94.56s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service marinaraspaghetti-nemom-1739-v65
Waiting for inference service marinaraspaghetti-nemom-1739-v65 to be ready
Inference service marinaraspaghetti-nemom-1739-v65 ready after 190.6390197277069s
Pipeline stage MKMLDeployer completed in 191.15s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.115953207015991s
Received healthy response to inference request in 1.6502001285552979s
Received healthy response to inference request in 1.5801453590393066s
Received healthy response to inference request in 1.5916247367858887s
Received healthy response to inference request in 1.5764868259429932s
5 requests
0 failed requests
5th percentile: 1.5772185325622559
10th percentile: 1.5779502391815186
20th percentile: 1.579413652420044
30th percentile: 1.582441234588623
40th percentile: 1.5870329856872558
50th percentile: 1.5916247367858887
60th percentile: 1.6150548934936524
70th percentile: 1.638485050201416
80th percentile: 1.7433507442474365
90th percentile: 1.9296519756317139
95th percentile: 2.0228025913238525
99th percentile: 2.0973230838775634
mean time: 1.7028820514678955
Pipeline stage StressChecker completed in 9.72s
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 0.64s
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 0.75s
Shutdown handler de-registered
marinaraspaghetti-nemom_1739_v65 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 2531.25s
Shutdown handler de-registered
marinaraspaghetti-nemom_1739_v65 status is now inactive due to auto deactivation removed underperforming models
Cleaning model data from S3
marinaraspaghetti-nemom_1739_v65 status is now torndown due to DeploymentManager action
marinaraspaghetti-nemom_1739_v65 status is now torndown due to DeploymentManager action
marinaraspaghetti-nemom_1739_v65 status is now torndown due to DeploymentManager action