developer_uid: huangjiayin
submission_id: marinaraspaghetti-nemom_1739_v31
model_name: marinaraspaghetti-nemom_1739_v31
model_group: MarinaraSpaghetti/NemoMi
status: torndown
timestamp: 2025-01-24T08:30:49+00:00
num_battles: 5790
num_wins: 2847
celo_rating: 1258.86
family_friendly_score: 0.5884
family_friendly_standard_error: 0.006959675854520813
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_v31
is_internal_developer: False
language_model: MarinaraSpaghetti/NemoMix-Unleashed-12B
model_size: 13B
ranking_group: single
us_pacific_date: 2025-01-24
win_ratio: 0.4917098445595855
generation_params: {'temperature': 0.85, 'top_p': 0.9, 'min_p': 0.08, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.45, '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-v31-mkmlizer
Waiting for job on marinaraspaghetti-nemom-1739-v31-mkmlizer to finish
marinaraspaghetti-nemom-1739-v31-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ _____ __ __ ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ /___/ ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ Version: 0.11.12 ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ https://mk1.ai ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ The license key for the current software has been verified as ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ belonging to: ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ Chai Research Corp. ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ║ ║
marinaraspaghetti-nemom-1739-v31-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
marinaraspaghetti-nemom-1739-v31-mkmlizer: Downloaded to shared memory in 31.054s
marinaraspaghetti-nemom-1739-v31-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpfic4d0jr, device:0
marinaraspaghetti-nemom-1739-v31-mkmlizer: Saving flywheel model at /dev/shm/model_cache
marinaraspaghetti-nemom-1739-v31-mkmlizer: quantized model in 39.673s
marinaraspaghetti-nemom-1739-v31-mkmlizer: Processed model MarinaraSpaghetti/NemoMix-Unleashed-12B in 70.728s
marinaraspaghetti-nemom-1739-v31-mkmlizer: creating bucket guanaco-mkml-models
marinaraspaghetti-nemom-1739-v31-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
marinaraspaghetti-nemom-1739-v31-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v31
marinaraspaghetti-nemom-1739-v31-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v31/config.json
marinaraspaghetti-nemom-1739-v31-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v31/special_tokens_map.json
marinaraspaghetti-nemom-1739-v31-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v31/tokenizer_config.json
marinaraspaghetti-nemom-1739-v31-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v31/tokenizer.json
marinaraspaghetti-nemom-1739-v31-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v31/flywheel_model.0.safetensors
marinaraspaghetti-nemom-1739-v31-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%| | 2/363 [00:06<18:42, 3.11s/it] Loading 0: 2%|▏ | 6/363 [00:06<04:56, 1.20it/s] Loading 0: 4%|▎ | 13/363 [00:06<01:45, 3.31it/s] Loading 0: 5%|▍ | 18/363 [00:06<01:05, 5.27it/s] Loading 0: 7%|▋ | 24/363 [00:06<00:42, 8.05it/s] Loading 0: 9%|▉ | 32/363 [00:06<00:25, 13.16it/s] Loading 0: 10%|█ | 38/363 [00:06<00:19, 16.76it/s] Loading 0: 12%|█▏ | 43/363 [00:07<00:19, 16.03it/s] Loading 0: 13%|█▎ | 49/363 [00:07<00:14, 20.94it/s] Loading 0: 15%|█▍ | 54/363 [00:07<00:12, 24.71it/s] Loading 0: 16%|█▋ | 59/363 [00:07<00:13, 22.56it/s] Loading 0: 18%|█▊ | 65/363 [00:07<00:11, 26.07it/s] Loading 0: 19%|█▉ | 69/363 [00:08<00:10, 27.81it/s] Loading 0: 21%|██ | 77/363 [00:08<00:07, 36.63it/s] Loading 0: 23%|██▎ | 83/363 [00:08<00:07, 37.42it/s] Loading 0: 24%|██▍ | 88/363 [00:08<00:07, 38.48it/s] Loading 0: 26%|██▌ | 95/363 [00:08<00:06, 43.81it/s] Loading 0: 28%|██▊ | 101/363 [00:08<00:06, 42.23it/s] Loading 0: 29%|██▉ | 106/363 [00:08<00:06, 41.54it/s] Loading 0: 31%|███ | 112/363 [00:08<00:05, 45.31it/s] Loading 0: 32%|███▏ | 117/363 [00:09<00:05, 43.62it/s] Loading 0: 34%|███▎ | 122/363 [00:09<00:09, 24.47it/s] Loading 0: 35%|███▌ | 128/363 [00:09<00:08, 27.77it/s] Loading 0: 36%|███▋ | 132/363 [00:09<00:08, 28.29it/s] Loading 0: 38%|███▊ | 137/363 [00:09<00:06, 32.42it/s] Loading 0: 39%|███▉ | 141/363 [00:10<00:08, 27.14it/s] Loading 0: 41%|████ | 148/363 [00:10<00:06, 34.91it/s] Loading 0: 42%|████▏ | 153/363 [00:10<00:05, 36.89it/s] Loading 0: 44%|████▎ | 158/363 [00:10<00:05, 38.67it/s] Loading 0: 45%|████▍ | 163/363 [00:10<00:04, 41.09it/s] Loading 0: 46%|████▋ | 168/363 [00:10<00:05, 32.88it/s] Loading 0: 48%|████▊ | 173/363 [00:10<00:05, 35.64it/s] Loading 0: 49%|████▉ | 177/363 [00:11<00:05, 32.98it/s] Loading 0: 51%|█████ | 184/363 [00:11<00:04, 39.76it/s] Loading 0: 52%|█████▏ | 189/363 [00:11<00:04, 40.66it/s] Loading 0: 53%|█████▎ | 194/363 [00:11<00:04, 39.93it/s] Loading 0: 55%|█████▍ | 199/363 [00:11<00:04, 40.60it/s] Loading 0: 56%|█████▌ | 204/363 [00:12<00:07, 22.13it/s] Loading 0: 58%|█████▊ | 211/363 [00:12<00:05, 29.16it/s] Loading 0: 60%|█████▉ | 216/363 [00:12<00:04, 30.97it/s] Loading 0: 61%|██████ | 221/363 [00:12<00:04, 32.34it/s] Loading 0: 62%|██████▏ | 225/363 [00:12<00:04, 33.29it/s] Loading 0: 63%|██████▎ | 229/363 [00:12<00:03, 33.90it/s] Loading 0: 64%|██████▍ | 233/363 [00:12<00:03, 33.08it/s] Loading 0: 65%|██████▌ | 237/363 [00:12<00:03, 33.89it/s] Loading 0: 66%|██████▋ | 241/363 [00:13<00:03, 32.48it/s] Loading 0: 68%|██████▊ | 247/363 [00:13<00:03, 38.29it/s] Loading 0: 69%|██████▉ | 251/363 [00:13<00:03, 37.30it/s] Loading 0: 71%|███████ | 256/363 [00:13<00:02, 39.09it/s] Loading 0: 72%|███████▏ | 260/363 [00:13<00:02, 37.17it/s] Loading 0: 73%|███████▎ | 264/363 [00:13<00:02, 37.70it/s] Loading 0: 74%|███████▍ | 268/363 [00:13<00:02, 33.17it/s] Loading 0: 75%|███████▍ | 272/363 [00:13<00:02, 33.95it/s] Loading 0: 76%|███████▌ | 276/363 [00:14<00:03, 28.70it/s] Loading 0: 78%|███████▊ | 283/363 [00:14<00:03, 24.42it/s] Loading 0: 79%|███████▉ | 286/363 [00:14<00:03, 24.74it/s] Loading 0: 80%|████████ | 292/363 [00:14<00:02, 30.25it/s] Loading 0: 82%|████████▏ | 296/363 [00:14<00:02, 31.07it/s] Loading 0: 83%|████████▎ | 301/363 [00:14<00:01, 33.17it/s] Loading 0: 84%|████████▍ | 305/363 [00:15<00:01, 30.95it/s] Loading 0: 85%|████████▌ | 310/363 [00:15<00:01, 33.62it/s] Loading 0: 87%|████████▋ | 314/363 [00:15<00:01, 33.41it/s] Loading 0: 88%|████████▊ | 319/363 [00:15<00:01, 36.63it/s] Loading 0: 89%|████████▉ | 323/363 [00:15<00:01, 36.37it/s] Loading 0: 90%|█████████ | 328/363 [00:15<00:00, 38.86it/s] Loading 0: 91%|█████████▏| 332/363 [00:15<00:00, 36.32it/s] Loading 0: 93%|█████████▎| 336/363 [00:15<00:00, 35.99it/s] Loading 0: 94%|█████████▎| 340/363 [00:16<00:01, 21.47it/s] Loading 0: 95%|█████████▌| 346/363 [00:16<00:00, 27.33it/s] Loading 0: 96%|█████████▋| 350/363 [00:16<00:00, 28.78it/s] Loading 0: 98%|█████████▊| 355/363 [00:16<00:00, 33.28it/s] Loading 0: 99%|█████████▉| 359/363 [00:16<00:00, 34.11it/s] Loading 0: 100%|██████████| 363/363 [00:16<00:00, 34.74it/s]
Job marinaraspaghetti-nemom-1739-v31-mkmlizer completed after 134.41s with status: succeeded
Stopping job with name marinaraspaghetti-nemom-1739-v31-mkmlizer
Pipeline stage MKMLizer completed in 134.85s
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-v31
Waiting for inference service marinaraspaghetti-nemom-1739-v31 to be ready
Inference service marinaraspaghetti-nemom-1739-v31 ready after 170.55629301071167s
Pipeline stage MKMLDeployer completed in 171.05s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.085212230682373s
Received healthy response to inference request in 1.5913147926330566s
Received healthy response to inference request in 1.6246590614318848s
Received healthy response to inference request in 1.8083229064941406s
Received healthy response to inference request in 2.324418067932129s
5 requests
0 failed requests
5th percentile: 1.5979836463928223
10th percentile: 1.604652500152588
20th percentile: 1.617990207672119
30th percentile: 1.661391830444336
40th percentile: 1.7348573684692383
50th percentile: 1.8083229064941406
60th percentile: 1.9190786361694336
70th percentile: 2.0298343658447267
80th percentile: 2.1330533981323243
90th percentile: 2.2287357330322264
95th percentile: 2.2765769004821776
99th percentile: 2.3148498344421387
mean time: 1.8867854118347167
Pipeline stage StressChecker completed in 10.70s
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 0.65s
Shutdown handler de-registered
marinaraspaghetti-nemom_1739_v31 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 3141.83s
Shutdown handler de-registered
marinaraspaghetti-nemom_1739_v31 status is now inactive due to auto deactivation removed underperforming models
marinaraspaghetti-nemom_1739_v31 status is now torndown due to DeploymentManager action