marinaraspaghetti-nemom_1739

developer_uid: developer0hye
submission_id: marinaraspaghetti-nemom_1739_v70
model_name: marinaraspaghetti-nemom_1739_v70
model_group: MarinaraSpaghetti/NemoMi
status: torndown
timestamp: 2025-02-15T03:09:40+00:00
num_battles: 8354
num_wins: 4015
celo_rating: 1254.55
family_friendly_score: 0.5678000000000001
family_friendly_standard_error: 0.007005757061160485
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
reward_model: default
display_name: marinaraspaghetti-nemom_1739_v70
is_internal_developer: False
language_model: MarinaraSpaghetti/NemoMix-Unleashed-12B
model_size: 13B
ranking_group: single
us_pacific_date: 2025-02-14
win_ratio: 0.4806080919320086
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.01, '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 marinaraspaghetti-nemom-1739-v70-mkmlizer
Waiting for job on marinaraspaghetti-nemom-1739-v70-mkmlizer to finish
marinaraspaghetti-nemom-1739-v70-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║     _____            __           __                                ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║       /___/                                                         ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║                                                                     ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║  Version: 0.12.8                                                    ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║  https://mk1.ai                                                     ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║                                                                     ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║  The license key for the current software has been verified as      ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║  belonging to:                                                      ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║                                                                     ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║  Chai Research Corp.                                                ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ║                                                                     ║
marinaraspaghetti-nemom-1739-v70-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
marinaraspaghetti-nemom-1739-v70-mkmlizer: Downloaded to shared memory in 38.026s
marinaraspaghetti-nemom-1739-v70-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpq0sb1qhg, device:0
marinaraspaghetti-nemom-1739-v70-mkmlizer: Saving flywheel model at /dev/shm/model_cache
marinaraspaghetti-nemom-1739-v70-mkmlizer: quantized model in 35.006s
marinaraspaghetti-nemom-1739-v70-mkmlizer: Processed model MarinaraSpaghetti/NemoMix-Unleashed-12B in 73.033s
marinaraspaghetti-nemom-1739-v70-mkmlizer: creating bucket guanaco-mkml-models
marinaraspaghetti-nemom-1739-v70-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
marinaraspaghetti-nemom-1739-v70-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v70
marinaraspaghetti-nemom-1739-v70-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v70/config.json
marinaraspaghetti-nemom-1739-v70-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v70/special_tokens_map.json
marinaraspaghetti-nemom-1739-v70-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v70/tokenizer_config.json
marinaraspaghetti-nemom-1739-v70-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v70/tokenizer.json
marinaraspaghetti-nemom-1739-v70-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v70/flywheel_model.0.safetensors
marinaraspaghetti-nemom-1739-v70-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:06<18:10,  3.02s/it]
Loading 0:   2%|▏         | 6/363 [00:06<04:49,  1.23it/s]
Loading 0:   4%|▎         | 13/363 [00:06<01:43,  3.38it/s]
Loading 0:   5%|▍         | 18/363 [00:06<01:04,  5.37it/s]
Loading 0:   6%|▋         | 23/363 [00:06<00:42,  7.95it/s]
Loading 0:   8%|▊         | 29/363 [00:06<00:28, 11.52it/s]
Loading 0:   9%|▉         | 34/363 [00:06<00:22, 14.90it/s]
Loading 0:  11%|█         | 40/363 [00:07<00:18, 17.59it/s]
Loading 0:  12%|█▏        | 44/363 [00:07<00:15, 20.38it/s]
Loading 0:  14%|█▍        | 50/363 [00:07<00:11, 26.33it/s]
Loading 0:  15%|█▌        | 56/363 [00:07<00:10, 30.24it/s]
Loading 0:  17%|█▋        | 61/363 [00:07<00:09, 33.09it/s]
Loading 0:  19%|█▊        | 68/363 [00:07<00:07, 40.46it/s]
Loading 0:  20%|██        | 74/363 [00:07<00:06, 41.88it/s]
Loading 0:  22%|██▏       | 79/363 [00:07<00:06, 41.87it/s]
Loading 0:  24%|██▎       | 86/363 [00:07<00:05, 47.48it/s]
Loading 0:  25%|██▌       | 92/363 [00:08<00:05, 46.99it/s]
Loading 0:  27%|██▋       | 98/363 [00:08<00:05, 48.25it/s]
Loading 0:  29%|██▊       | 104/363 [00:08<00:05, 49.48it/s]
Loading 0:  30%|███       | 110/363 [00:08<00:05, 44.14it/s]
Loading 0:  32%|███▏      | 115/363 [00:08<00:05, 43.56it/s]
Loading 0:  33%|███▎      | 121/363 [00:08<00:06, 36.49it/s]
Loading 0:  34%|███▍      | 125/363 [00:08<00:06, 36.54it/s]
Loading 0:  36%|███▌      | 131/363 [00:09<00:05, 40.46it/s]
Loading 0:  38%|███▊      | 137/363 [00:09<00:05, 42.02it/s]
Loading 0:  39%|███▉      | 142/363 [00:09<00:05, 42.57it/s]
Loading 0:  41%|████      | 149/363 [00:09<00:04, 47.12it/s]
Loading 0:  43%|████▎     | 155/363 [00:09<00:04, 45.86it/s]
Loading 0:  44%|████▍     | 160/363 [00:09<00:04, 46.05it/s]
Loading 0:  46%|████▌     | 167/363 [00:09<00:03, 50.65it/s]
Loading 0:  48%|████▊     | 173/363 [00:09<00:04, 46.40it/s]
Loading 0:  49%|████▉     | 178/363 [00:10<00:04, 44.22it/s]
Loading 0:  51%|█████     | 185/363 [00:10<00:03, 49.10it/s]
Loading 0:  53%|█████▎    | 191/363 [00:10<00:03, 48.30it/s]
Loading 0:  54%|█████▍    | 196/363 [00:10<00:03, 47.09it/s]
Loading 0:  56%|█████▌    | 202/363 [00:10<00:04, 37.91it/s]
Loading 0:  57%|█████▋    | 207/363 [00:10<00:03, 39.58it/s]
Loading 0:  59%|█████▊    | 213/363 [00:10<00:03, 38.19it/s]
Loading 0:  61%|██████    | 220/363 [00:11<00:03, 44.07it/s]
Loading 0:  62%|██████▏   | 225/363 [00:11<00:03, 45.17it/s]
Loading 0:  64%|██████▎   | 231/363 [00:11<00:03, 42.44it/s]
Loading 0:  66%|██████▌   | 239/363 [00:11<00:02, 50.03it/s]
Loading 0:  67%|██████▋   | 245/363 [00:11<00:02, 46.61it/s]
Loading 0:  69%|██████▉   | 250/363 [00:11<00:02, 45.30it/s]
Loading 0:  71%|███████   | 257/363 [00:11<00:02, 49.92it/s]
Loading 0:  72%|███████▏  | 263/363 [00:11<00:02, 48.55it/s]
Loading 0:  74%|███████▍  | 268/363 [00:12<00:02, 46.73it/s]
Loading 0:  75%|███████▌  | 274/363 [00:12<00:01, 49.71it/s]
Loading 0:  77%|███████▋  | 280/363 [00:12<00:01, 51.48it/s]
Loading 0:  79%|███████▉  | 286/363 [00:12<00:02, 34.08it/s]
Loading 0:  80%|████████  | 292/363 [00:12<00:01, 38.94it/s]
Loading 0:  82%|████████▏ | 297/363 [00:12<00:01, 41.24it/s]
Loading 0:  83%|████████▎ | 302/363 [00:12<00:01, 42.74it/s]
Loading 0:  85%|████████▍ | 307/363 [00:12<00:01, 44.26it/s]
Loading 0:  86%|████████▌ | 312/363 [00:13<00:01, 35.45it/s]
Loading 0:  88%|████████▊ | 320/363 [00:13<00:00, 44.00it/s]
Loading 0:  90%|████████▉ | 326/363 [00:13<00:00, 44.42it/s]
Loading 0:  91%|█████████ | 331/363 [00:13<00:00, 43.33it/s]
Loading 0:  93%|█████████▎| 337/363 [00:13<00:00, 47.41it/s]
Loading 0:  94%|█████████▍| 343/363 [00:13<00:00, 49.84it/s]
Loading 0:  96%|█████████▌| 349/363 [00:13<00:00, 45.27it/s]
Loading 0:  98%|█████████▊| 356/363 [00:14<00:00, 49.95it/s]
Loading 0: 100%|█████████▉| 362/363 [00:14<00:00, 47.48it/s]
                                                            
Job marinaraspaghetti-nemom-1739-v70-mkmlizer completed after 236.14s with status: succeeded
Stopping job with name marinaraspaghetti-nemom-1739-v70-mkmlizer
Pipeline stage MKMLizer completed in 236.60s
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 marinaraspaghetti-nemom-1739-v70
Waiting for inference service marinaraspaghetti-nemom-1739-v70 to be ready
Inference service marinaraspaghetti-nemom-1739-v70 ready after 230.78243780136108s
Pipeline stage MKMLDeployer completed in 231.28s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2284700870513916s
Received healthy response to inference request in 1.5597124099731445s
Received healthy response to inference request in 1.4744629859924316s
Received healthy response to inference request in 1.5003066062927246s
Received healthy response to inference request in 1.595846176147461s
5 requests
0 failed requests
5th percentile: 1.4796317100524903
10th percentile: 1.484800434112549
20th percentile: 1.495137882232666
30th percentile: 1.5121877670288086
40th percentile: 1.5359500885009765
50th percentile: 1.5597124099731445
60th percentile: 1.5741659164428712
70th percentile: 1.5886194229125976
80th percentile: 1.7223709583282472
90th percentile: 1.9754205226898194
95th percentile: 2.1019453048706054
99th percentile: 2.2031651306152344
mean time: 1.6717596530914307
Pipeline stage StressChecker completed in 9.61s
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 0.67s
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 0.64s
Shutdown handler de-registered
marinaraspaghetti-nemom_1739_v70 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 2856.03s
Shutdown handler de-registered
marinaraspaghetti-nemom_1739_v70 status is now inactive due to auto deactivation removed underperforming models
marinaraspaghetti-nemom_1739_v70 status is now torndown due to DeploymentManager action
marinaraspaghetti-nemom_1739_v70 status is now torndown due to DeploymentManager action
marinaraspaghetti-nemom_1739_v70 status is now torndown due to DeploymentManager action