developer_uid: fengjiayi
submission_id: marinaraspaghetti-nemom_1739_v17
model_name: sao10k-l3-8b-lunaris-v1_v2
model_group: MarinaraSpaghetti/NemoMi
status: torndown
timestamp: 2025-01-22T08:05:20+00:00
num_battles: 6480
num_wins: 3215
celo_rating: 1253.59
family_friendly_score: 0.589
family_friendly_standard_error: 0.006958146304871722
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: sao10k-l3-8b-lunaris-v1_v2
is_internal_developer: False
language_model: MarinaraSpaghetti/NemoMix-Unleashed-12B
model_size: 13B
ranking_group: single
us_pacific_date: 2025-01-22
win_ratio: 0.49614197530864196
generation_params: {'temperature': 1.0, '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 marinaraspaghetti-nemom-1739-v17-mkmlizer
Waiting for job on marinaraspaghetti-nemom-1739-v17-mkmlizer to finish
marinaraspaghetti-nemom-1739-v17-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ _____ __ __ ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ /___/ ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ Version: 0.11.12 ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ https://mk1.ai ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ The license key for the current software has been verified as ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ belonging to: ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ Chai Research Corp. ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ║ ║
marinaraspaghetti-nemom-1739-v17-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
marinaraspaghetti-nemom-1739-v17-mkmlizer: Downloaded to shared memory in 32.175s
marinaraspaghetti-nemom-1739-v17-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_fkg7cbj, device:0
marinaraspaghetti-nemom-1739-v17-mkmlizer: Saving flywheel model at /dev/shm/model_cache
marinaraspaghetti-nemom-1739-v17-mkmlizer: quantized model in 38.335s
marinaraspaghetti-nemom-1739-v17-mkmlizer: Processed model MarinaraSpaghetti/NemoMix-Unleashed-12B in 70.510s
marinaraspaghetti-nemom-1739-v17-mkmlizer: creating bucket guanaco-mkml-models
marinaraspaghetti-nemom-1739-v17-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
marinaraspaghetti-nemom-1739-v17-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v17
marinaraspaghetti-nemom-1739-v17-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v17/config.json
marinaraspaghetti-nemom-1739-v17-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v17/special_tokens_map.json
marinaraspaghetti-nemom-1739-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v17/tokenizer_config.json
marinaraspaghetti-nemom-1739-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v17/tokenizer.json
marinaraspaghetti-nemom-1739-v17-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v17/flywheel_model.0.safetensors
marinaraspaghetti-nemom-1739-v17-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%| | 2/363 [00:06<18:48, 3.13s/it] Loading 0: 2%|▏ | 6/363 [00:06<05:01, 1.18it/s] Loading 0: 3%|▎ | 11/363 [00:06<02:12, 2.65it/s] Loading 0: 4%|▍ | 15/363 [00:06<01:24, 4.11it/s] Loading 0: 6%|▌ | 22/363 [00:06<00:44, 7.64it/s] Loading 0: 7%|▋ | 26/363 [00:06<00:34, 9.77it/s] Loading 0: 9%|▊ | 31/363 [00:07<00:25, 13.18it/s] Loading 0: 10%|▉ | 35/363 [00:07<00:21, 15.59it/s] Loading 0: 11%|█ | 40/363 [00:07<00:20, 15.73it/s] Loading 0: 12%|█▏ | 43/363 [00:07<00:18, 17.03it/s] Loading 0: 13%|█▎ | 49/363 [00:07<00:13, 23.10it/s] Loading 0: 15%|█▍ | 53/363 [00:07<00:12, 25.36it/s] Loading 0: 16%|█▌ | 58/363 [00:07<00:10, 29.66it/s] Loading 0: 17%|█▋ | 62/363 [00:08<00:09, 30.95it/s] Loading 0: 18%|█▊ | 67/363 [00:08<00:08, 35.20it/s] Loading 0: 20%|█▉ | 72/363 [00:08<00:07, 36.83it/s] Loading 0: 21%|██ | 77/363 [00:08<00:07, 38.04it/s] Loading 0: 23%|██▎ | 82/363 [00:08<00:07, 39.34it/s] Loading 0: 24%|██▍ | 87/363 [00:08<00:08, 34.28it/s] Loading 0: 26%|██▌ | 94/363 [00:08<00:06, 42.19it/s] Loading 0: 27%|██▋ | 99/363 [00:08<00:06, 42.22it/s] Loading 0: 29%|██▊ | 104/363 [00:09<00:06, 42.63it/s] Loading 0: 30%|███ | 109/363 [00:09<00:05, 44.50it/s] Loading 0: 31%|███▏ | 114/363 [00:09<00:06, 37.28it/s] Loading 0: 33%|███▎ | 119/363 [00:09<00:06, 39.58it/s] Loading 0: 34%|███▍ | 124/363 [00:09<00:08, 26.76it/s] Loading 0: 36%|███▌ | 130/363 [00:09<00:07, 32.00it/s] Loading 0: 37%|███▋ | 134/363 [00:10<00:07, 31.49it/s] Loading 0: 38%|███▊ | 139/363 [00:10<00:06, 35.23it/s] Loading 0: 40%|███▉ | 144/363 [00:10<00:05, 36.78it/s] Loading 0: 41%|████ | 149/363 [00:10<00:05, 37.42it/s] Loading 0: 42%|████▏ | 153/363 [00:10<00:05, 37.56it/s] Loading 0: 44%|████▎ | 158/363 [00:10<00:05, 38.62it/s] Loading 0: 45%|████▍ | 162/363 [00:10<00:05, 38.95it/s] Loading 0: 46%|████▌ | 166/363 [00:10<00:05, 38.78it/s] Loading 0: 47%|████▋ | 170/363 [00:11<00:05, 33.75it/s] Loading 0: 48%|████▊ | 175/363 [00:11<00:05, 36.43it/s] Loading 0: 49%|████▉ | 179/363 [00:11<00:05, 36.11it/s] Loading 0: 51%|█████ | 184/363 [00:11<00:04, 38.51it/s] Loading 0: 52%|█████▏ | 188/363 [00:11<00:04, 37.66it/s] Loading 0: 53%|█████▎ | 193/363 [00:11<00:04, 40.48it/s] Loading 0: 55%|█████▍ | 198/363 [00:11<00:04, 41.01it/s] Loading 0: 56%|█████▌ | 203/363 [00:11<00:05, 30.17it/s] Loading 0: 57%|█████▋ | 207/363 [00:12<00:04, 31.89it/s] Loading 0: 58%|█████▊ | 212/363 [00:12<00:04, 34.34it/s] Loading 0: 60%|█████▉ | 217/363 [00:12<00:03, 37.52it/s] Loading 0: 61%|██████ | 222/363 [00:12<00:04, 33.07it/s] Loading 0: 63%|██████▎ | 229/363 [00:12<00:03, 40.98it/s] Loading 0: 64%|██████▍ | 234/363 [00:12<00:03, 41.66it/s] Loading 0: 66%|██████▌ | 239/363 [00:12<00:02, 41.90it/s] Loading 0: 67%|██████▋ | 245/363 [00:12<00:02, 40.63it/s] Loading 0: 69%|██████▉ | 250/363 [00:13<00:02, 40.15it/s] Loading 0: 71%|███████ | 256/363 [00:13<00:02, 43.44it/s] Loading 0: 72%|███████▏ | 261/363 [00:13<00:02, 42.84it/s] Loading 0: 73%|███████▎ | 266/363 [00:13<00:02, 42.91it/s] Loading 0: 75%|███████▍ | 271/363 [00:13<00:02, 43.74it/s] Loading 0: 76%|███████▌ | 276/363 [00:13<00:02, 36.21it/s] Loading 0: 78%|███████▊ | 283/363 [00:14<00:02, 31.97it/s] Loading 0: 79%|███████▉ | 287/363 [00:14<00:02, 31.75it/s] Loading 0: 80%|████████ | 292/363 [00:14<00:02, 34.51it/s] Loading 0: 82%|████████▏ | 296/363 [00:14<00:02, 33.22it/s] Loading 0: 83%|████████▎ | 301/363 [00:14<00:01, 36.52it/s] Loading 0: 84%|████████▍ | 305/363 [00:14<00:01, 35.91it/s] Loading 0: 85%|████████▌ | 310/363 [00:14<00:01, 38.75it/s] Loading 0: 87%|████████▋ | 315/363 [00:14<00:01, 39.36it/s] Loading 0: 88%|████████▊ | 320/363 [00:14<00:01, 39.81it/s] Loading 0: 90%|████████▉ | 325/363 [00:15<00:00, 40.43it/s] Loading 0: 91%|█████████ | 330/363 [00:15<00:01, 32.33it/s] Loading 0: 93%|█████████▎| 337/363 [00:15<00:00, 38.66it/s] Loading 0: 94%|█████████▍| 342/363 [00:15<00:00, 35.71it/s] Loading 0: 95%|█████████▌| 346/363 [00:15<00:00, 35.00it/s] Loading 0: 96%|█████████▋| 350/363 [00:15<00:00, 33.89it/s] Loading 0: 98%|█████████▊| 355/363 [00:15<00:00, 36.47it/s] Loading 0: 99%|█████████▉| 359/363 [00:16<00:00, 35.11it/s]
Job marinaraspaghetti-nemom-1739-v17-mkmlizer completed after 114.31s with status: succeeded
Stopping job with name marinaraspaghetti-nemom-1739-v17-mkmlizer
Pipeline stage MKMLizer completed in 114.79s
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-v17
Waiting for inference service marinaraspaghetti-nemom-1739-v17 to be ready
Inference service marinaraspaghetti-nemom-1739-v17 ready after 130.55298471450806s
Pipeline stage MKMLDeployer completed in 131.07s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1587088108062744s
Received healthy response to inference request in 1.6202623844146729s
Received healthy response to inference request in 1.8212659358978271s
Received healthy response to inference request in 1.6624925136566162s
Received healthy response to inference request in 1.66646146774292s
5 requests
0 failed requests
5th percentile: 1.6287084102630616
10th percentile: 1.6371544361114503
20th percentile: 1.6540464878082275
30th percentile: 1.663286304473877
40th percentile: 1.6648738861083985
50th percentile: 1.66646146774292
60th percentile: 1.7283832550048828
70th percentile: 1.7903050422668456
80th percentile: 1.8887545108795167
90th percentile: 2.0237316608428957
95th percentile: 2.091220235824585
99th percentile: 2.1452110958099366
mean time: 1.7858382225036622
Pipeline stage StressChecker completed in 10.26s
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 0.97s
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 0.59s
Shutdown handler de-registered
marinaraspaghetti-nemom_1739_v17 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 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service marinaraspaghetti-nemom-1739-v17-profiler
Waiting for inference service marinaraspaghetti-nemom-1739-v17-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 4275.80s
Shutdown handler de-registered
marinaraspaghetti-nemom_1739_v17 status is now inactive due to auto deactivation removed underperforming models
marinaraspaghetti-nemom_1739_v17 status is now torndown due to DeploymentManager action