developer_uid: sy2x20000202
submission_id: marinaraspaghetti-nemom_1739_v18
model_name: marinaraspaghetti-nemom_1739_v18
model_group: MarinaraSpaghetti/NemoMi
status: torndown
timestamp: 2025-01-23T20:29:55+00:00
num_battles: 9317
num_wins: 4619
celo_rating: 1263.09
family_friendly_score: 0.5892
family_friendly_standard_error: 0.006957634080634019
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_v18
is_internal_developer: False
language_model: MarinaraSpaghetti/NemoMix-Unleashed-12B
model_size: 13B
ranking_group: single
us_pacific_date: 2025-01-23
win_ratio: 0.4957604379091982
generation_params: {'temperature': 1.2, 'top_p': 1.0, 'min_p': 0.05, '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': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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-v18-mkmlizer
Waiting for job on marinaraspaghetti-nemom-1739-v18-mkmlizer to finish
marinaraspaghetti-nemom-1739-v18-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ _____ __ __ ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ /___/ ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ Version: 0.11.12 ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ https://mk1.ai ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ The license key for the current software has been verified as ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ belonging to: ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ Chai Research Corp. ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ║ ║
marinaraspaghetti-nemom-1739-v18-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
marinaraspaghetti-nemom-1739-v18-mkmlizer: Downloaded to shared memory in 31.294s
marinaraspaghetti-nemom-1739-v18-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4v74hgyz, device:0
marinaraspaghetti-nemom-1739-v18-mkmlizer: Saving flywheel model at /dev/shm/model_cache
marinaraspaghetti-nemom-1739-v18-mkmlizer: quantized model in 37.236s
marinaraspaghetti-nemom-1739-v18-mkmlizer: Processed model MarinaraSpaghetti/NemoMix-Unleashed-12B in 68.531s
marinaraspaghetti-nemom-1739-v18-mkmlizer: creating bucket guanaco-mkml-models
marinaraspaghetti-nemom-1739-v18-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
marinaraspaghetti-nemom-1739-v18-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v18
marinaraspaghetti-nemom-1739-v18-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v18/config.json
marinaraspaghetti-nemom-1739-v18-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v18/special_tokens_map.json
marinaraspaghetti-nemom-1739-v18-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v18/tokenizer_config.json
marinaraspaghetti-nemom-1739-v18-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v18/tokenizer.json
marinaraspaghetti-nemom-1739-v18-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v18/flywheel_model.0.safetensors
marinaraspaghetti-nemom-1739-v18-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%| | 2/363 [00:06<18:16, 3.04s/it] Loading 0: 2%|▏ | 6/363 [00:06<04:51, 1.23it/s] Loading 0: 3%|▎ | 11/363 [00:06<02:07, 2.76it/s] Loading 0: 4%|▍ | 15/363 [00:06<01:20, 4.32it/s] Loading 0: 6%|▋ | 23/363 [00:06<00:39, 8.59it/s] Loading 0: 8%|▊ | 29/363 [00:06<00:27, 11.96it/s] Loading 0: 9%|▉ | 34/363 [00:06<00:21, 15.12it/s] Loading 0: 11%|█ | 40/363 [00:07<00:19, 16.70it/s] Loading 0: 12%|█▏ | 44/363 [00:07<00:16, 18.99it/s] Loading 0: 13%|█▎ | 49/363 [00:07<00:13, 22.65it/s] Loading 0: 15%|█▍ | 53/363 [00:07<00:12, 24.40it/s] Loading 0: 16%|█▌ | 58/363 [00:07<00:10, 28.86it/s] Loading 0: 17%|█▋ | 62/363 [00:07<00:09, 30.37it/s] Loading 0: 18%|█▊ | 67/363 [00:07<00:08, 34.57it/s] Loading 0: 20%|█▉ | 72/363 [00:07<00:08, 33.43it/s] Loading 0: 21%|██ | 77/363 [00:08<00:07, 35.86it/s] Loading 0: 23%|██▎ | 82/363 [00:08<00:07, 38.68it/s] Loading 0: 24%|██▍ | 87/363 [00:08<00:08, 32.57it/s] Loading 0: 26%|██▌ | 94/363 [00:08<00:06, 39.08it/s] Loading 0: 27%|██▋ | 99/363 [00:08<00:06, 39.65it/s] Loading 0: 29%|██▊ | 104/363 [00:08<00:06, 39.53it/s] Loading 0: 30%|███ | 109/363 [00:08<00:06, 41.12it/s] Loading 0: 31%|███▏ | 114/363 [00:09<00:07, 33.86it/s] Loading 0: 33%|███▎ | 121/363 [00:09<00:09, 25.76it/s] Loading 0: 34%|███▍ | 125/363 [00:09<00:08, 26.61it/s] Loading 0: 36%|███▌ | 130/363 [00:09<00:07, 29.59it/s] Loading 0: 37%|███▋ | 134/363 [00:09<00:07, 29.94it/s] Loading 0: 38%|███▊ | 139/363 [00:09<00:06, 32.88it/s] Loading 0: 39%|███▉ | 143/363 [00:10<00:06, 32.44it/s] Loading 0: 41%|████ | 148/363 [00:10<00:06, 34.91it/s] Loading 0: 42%|████▏ | 152/363 [00:10<00:06, 34.08it/s] Loading 0: 43%|████▎ | 157/363 [00:10<00:05, 35.79it/s] Loading 0: 44%|████▍ | 161/363 [00:10<00:05, 33.95it/s] Loading 0: 46%|████▌ | 166/363 [00:10<00:05, 36.16it/s] Loading 0: 47%|████▋ | 170/363 [00:10<00:05, 34.68it/s] Loading 0: 48%|████▊ | 175/363 [00:11<00:05, 35.95it/s] Loading 0: 49%|████▉ | 179/363 [00:11<00:05, 33.87it/s] Loading 0: 51%|█████ | 184/363 [00:11<00:04, 37.10it/s] Loading 0: 52%|█████▏ | 188/363 [00:11<00:04, 36.24it/s] Loading 0: 53%|█████▎ | 193/363 [00:11<00:04, 38.21it/s] Loading 0: 54%|█████▍ | 197/363 [00:11<00:04, 37.11it/s] Loading 0: 56%|█████▌ | 202/363 [00:11<00:06, 24.73it/s] Loading 0: 57%|█████▋ | 206/363 [00:12<00:06, 26.15it/s] Loading 0: 58%|█████▊ | 211/363 [00:12<00:04, 30.52it/s] Loading 0: 59%|█████▉ | 215/363 [00:12<00:04, 31.24it/s] Loading 0: 61%|██████ | 220/363 [00:12<00:04, 34.89it/s] Loading 0: 62%|██████▏ | 224/363 [00:12<00:03, 34.88it/s] Loading 0: 63%|██████▎ | 229/363 [00:12<00:03, 37.82it/s] Loading 0: 64%|██████▍ | 233/363 [00:12<00:03, 36.87it/s] Loading 0: 66%|██████▌ | 238/363 [00:12<00:03, 40.17it/s] Loading 0: 67%|██████▋ | 243/363 [00:12<00:02, 40.50it/s] Loading 0: 68%|██████▊ | 248/363 [00:13<00:02, 41.22it/s] Loading 0: 70%|██████▉ | 253/363 [00:13<00:02, 42.44it/s] Loading 0: 71%|███████ | 258/363 [00:13<00:03, 33.60it/s] Loading 0: 72%|███████▏ | 263/363 [00:13<00:03, 32.06it/s] Loading 0: 74%|███████▎ | 267/363 [00:13<00:03, 30.73it/s] Loading 0: 75%|███████▌ | 274/363 [00:13<00:02, 37.72it/s] Loading 0: 77%|███████▋ | 279/363 [00:13<00:02, 39.08it/s] Loading 0: 78%|███████▊ | 284/363 [00:14<00:03, 25.69it/s] Loading 0: 79%|███████▉ | 288/363 [00:14<00:02, 27.49it/s] Loading 0: 80%|████████ | 292/363 [00:14<00:02, 29.93it/s] Loading 0: 82%|████████▏ | 296/363 [00:14<00:02, 31.27it/s] Loading 0: 83%|████████▎ | 301/363 [00:14<00:01, 35.33it/s] Loading 0: 84%|████████▍ | 305/363 [00:14<00:01, 35.61it/s] Loading 0: 85%|████████▌ | 310/363 [00:14<00:01, 38.52it/s] Loading 0: 87%|████████▋ | 315/363 [00:15<00:01, 39.73it/s] Loading 0: 88%|████████▊ | 320/363 [00:15<00:01, 41.42it/s] Loading 0: 90%|████████▉ | 326/363 [00:15<00:00, 40.65it/s] Loading 0: 91%|█████████ | 331/363 [00:15<00:00, 40.35it/s] Loading 0: 93%|█████████▎| 337/363 [00:15<00:00, 43.90it/s] Loading 0: 94%|█████████▍| 342/363 [00:15<00:00, 43.62it/s] Loading 0: 96%|█████████▌| 347/363 [00:15<00:00, 43.57it/s] Loading 0: 97%|█████████▋| 352/363 [00:15<00:00, 44.70it/s] Loading 0: 98%|█████████▊| 357/363 [00:16<00:00, 36.13it/s]
Job marinaraspaghetti-nemom-1739-v18-mkmlizer completed after 104.23s with status: succeeded
Stopping job with name marinaraspaghetti-nemom-1739-v18-mkmlizer
Pipeline stage MKMLizer completed in 104.71s
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-v18
Waiting for inference service marinaraspaghetti-nemom-1739-v18 to be ready
Inference service marinaraspaghetti-nemom-1739-v18 ready after 140.66955709457397s
Pipeline stage MKMLDeployer completed in 141.18s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2914576530456543s
Received healthy response to inference request in 1.9077637195587158s
Received healthy response to inference request in 1.7918479442596436s
Received healthy response to inference request in 1.633420705795288s
Received healthy response to inference request in 2.109787702560425s
5 requests
0 failed requests
5th percentile: 1.6651061534881593
10th percentile: 1.6967916011810302
20th percentile: 1.7601624965667724
30th percentile: 1.815031099319458
40th percentile: 1.8613974094390868
50th percentile: 1.9077637195587158
60th percentile: 1.9885733127593994
70th percentile: 2.069382905960083
80th percentile: 2.146121692657471
90th percentile: 2.2187896728515626
95th percentile: 2.255123662948608
99th percentile: 2.284190855026245
mean time: 1.9468555450439453
Pipeline stage StressChecker completed in 10.93s
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 0.58s
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_v18 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 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service marinaraspaghetti-nemom-1739-v18-profiler
Waiting for inference service marinaraspaghetti-nemom-1739-v18-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5932.10s
Shutdown handler de-registered
marinaraspaghetti-nemom_1739_v18 status is now inactive due to auto deactivation removed underperforming models
marinaraspaghetti-nemom_1739_v18 status is now torndown due to DeploymentManager action