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 cgato-nemo-12b-humanize-65651-v1-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-65651-v1-mkmlizer to finish
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ _____ __ __ ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ /___/ ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ Version: 0.11.12 ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ https://mk1.ai ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ belonging to: ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ║ ║
cgato-nemo-12b-humanize-65651-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-65651-v1-mkmlizer: Downloaded to shared memory in 44.646s
cgato-nemo-12b-humanize-65651-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpw1l73n_m, device:0
cgato-nemo-12b-humanize-65651-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-65651-v1-mkmlizer: quantized model in 36.142s
cgato-nemo-12b-humanize-65651-v1-mkmlizer: Processed model cgato/Nemo-12b-Humanize-SFT-v0.2-E2-TenthScale in 80.789s
cgato-nemo-12b-humanize-65651-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-65651-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-65651-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-65651-v1
cgato-nemo-12b-humanize-65651-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-65651-v1/config.json
cgato-nemo-12b-humanize-65651-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-65651-v1/special_tokens_map.json
cgato-nemo-12b-humanize-65651-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-65651-v1/tokenizer.json
cgato-nemo-12b-humanize-65651-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-65651-v1/flywheel_model.0.safetensors
cgato-nemo-12b-humanize-65651-v1-mkmlizer:
Loading 0: 0%| | 0/363 [00:00<?, ?it/s]
Loading 0: 1%|▏ | 5/363 [00:00<00:12, 28.24it/s]
Loading 0: 3%|▎ | 12/363 [00:00<00:07, 45.98it/s]
Loading 0: 5%|▍ | 18/363 [00:00<00:06, 49.50it/s]
Loading 0: 7%|▋ | 24/363 [00:00<00:07, 42.62it/s]
Loading 0: 9%|▊ | 31/363 [00:00<00:06, 49.24it/s]
Loading 0: 10%|█ | 37/363 [00:00<00:06, 46.96it/s]
Loading 0: 12%|█▏ | 42/363 [00:00<00:06, 45.99it/s]
Loading 0: 13%|█▎ | 49/363 [00:01<00:06, 51.13it/s]
Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 47.78it/s]
Loading 0: 17%|█▋ | 61/363 [00:01<00:08, 34.21it/s]
Loading 0: 18%|█▊ | 66/363 [00:01<00:08, 34.67it/s]
Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 38.79it/s]
Loading 0: 21%|██ | 77/363 [00:01<00:07, 39.21it/s]
Loading 0: 23%|██▎ | 82/363 [00:02<00:08, 33.05it/s]
Loading 0: 25%|██▍ | 89/363 [00:02<00:06, 40.10it/s]
Loading 0: 26%|██▌ | 94/363 [00:02<00:06, 40.48it/s]
Loading 0: 27%|██▋ | 99/363 [00:02<00:06, 41.43it/s]
Loading 0: 29%|██▊ | 104/363 [00:02<00:06, 42.60it/s]
Loading 0: 30%|███ | 110/363 [00:02<00:06, 40.72it/s]
Loading 0: 32%|███▏ | 115/363 [00:02<00:05, 41.93it/s]
Loading 0: 33%|███▎ | 120/363 [00:02<00:06, 40.36it/s]
Loading 0: 35%|███▍ | 126/363 [00:03<00:05, 43.62it/s]
Loading 0: 36%|███▋ | 132/363 [00:03<00:05, 42.98it/s]
Loading 0: 38%|███▊ | 137/363 [00:03<00:05, 41.99it/s]
Loading 0: 39%|███▉ | 142/363 [00:03<00:06, 33.06it/s]
Loading 0: 40%|████ | 146/363 [00:03<00:06, 33.89it/s]
Loading 0: 41%|████▏ | 150/363 [00:03<00:06, 33.31it/s]
Loading 0: 43%|████▎ | 156/363 [00:03<00:05, 38.81it/s]
Loading 0: 44%|████▍ | 161/363 [00:04<00:05, 39.02it/s]
Loading 0: 46%|████▌ | 166/363 [00:04<00:04, 40.12it/s]
Loading 0: 47%|████▋ | 172/363 [00:04<00:04, 40.16it/s]
Loading 0: 49%|████▉ | 177/363 [00:04<00:04, 39.98it/s]
Loading 0: 51%|█████ | 184/363 [00:04<00:03, 45.40it/s]
Loading 0: 52%|█████▏ | 190/363 [00:04<00:03, 44.32it/s]
Loading 0: 54%|█████▎ | 195/363 [00:04<00:03, 44.03it/s]
Loading 0: 55%|█████▌ | 201/363 [00:04<00:03, 47.89it/s]
Loading 0: 57%|█████▋ | 206/363 [00:04<00:03, 46.67it/s]
Loading 0: 58%|█████▊ | 211/363 [00:05<00:03, 46.38it/s]
Loading 0: 60%|█████▉ | 216/363 [00:05<00:03, 45.94it/s]
Loading 0: 61%|██████ | 221/363 [00:05<00:03, 46.92it/s]
Loading 0: 62%|██████▏ | 226/363 [00:05<00:04, 28.76it/s]
Loading 0: 63%|██████▎ | 230/363 [00:05<00:04, 29.58it/s]
Loading 0: 65%|██████▌ | 237/363 [00:05<00:03, 37.72it/s]
Loading 0: 67%|██████▋ | 242/363 [00:05<00:03, 38.83it/s]
Loading 0: 68%|██████▊ | 247/363 [00:06<00:02, 41.03it/s]
Loading 0: 70%|██████▉ | 253/363 [00:06<00:02, 41.19it/s]
Loading 0: 71%|███████ | 258/363 [00:06<00:02, 39.64it/s]
Loading 0: 73%|███████▎ | 265/363 [00:06<00:02, 44.74it/s]
Loading 0: 74%|███████▍ | 270/363 [00:06<00:02, 45.46it/s]
Loading 0: 76%|███████▌ | 275/363 [00:06<00:02, 38.34it/s]
Loading 0: 78%|███████▊ | 283/363 [00:06<00:01, 46.07it/s]
Loading 0: 80%|███████▉ | 289/363 [00:07<00:01, 45.20it/s]
Loading 0: 81%|████████ | 294/363 [00:07<00:01, 43.94it/s]
Loading 0: 83%|████████▎ | 301/363 [00:07<00:01, 49.64it/s]
Loading 0: 85%|████████▍ | 307/363 [00:14<00:19, 2.82it/s]
Loading 0: 86%|████████▌ | 311/363 [00:14<00:14, 3.54it/s]
Loading 0: 87%|████████▋ | 317/363 [00:14<00:09, 5.01it/s]
Loading 0: 88%|████████▊ | 321/363 [00:14<00:06, 6.22it/s]
Loading 0: 90%|█████████ | 328/363 [00:14<00:03, 9.28it/s]
Loading 0: 92%|█████████▏| 333/363 [00:14<00:02, 11.82it/s]
Loading 0: 93%|█████████▎| 338/363 [00:14<00:01, 15.02it/s]
Loading 0: 95%|█████████▍| 344/363 [00:15<00:00, 19.01it/s]
Loading 0: 96%|█████████▌| 349/363 [00:15<00:00, 22.63it/s]
Loading 0: 98%|█████████▊| 356/363 [00:15<00:00, 29.32it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 32.38it/s]
Job cgato-nemo-12b-humanize-65651-v1-mkmlizer completed after 104.11s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-65651-v1-mkmlizer
Pipeline stage MKMLizer completed in 104.57s
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 cgato-nemo-12b-humanize-65651-v1
Waiting for inference service cgato-nemo-12b-humanize-65651-v1 to be ready
Inference service cgato-nemo-12b-humanize-65651-v1 ready after 120.39705991744995s
Pipeline stage MKMLDeployer completed in 120.87s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.040311813354492s
Received healthy response to inference request in 1.9728491306304932s
Received healthy response to inference request in 1.4558911323547363s
Received healthy response to inference request in 1.094775676727295s
Received healthy response to inference request in 1.5859417915344238s
5 requests
0 failed requests
5th percentile: 1.1669987678527831
10th percentile: 1.2392218589782715
20th percentile: 1.3836680412292481
30th percentile: 1.481901264190674
40th percentile: 1.5339215278625489
50th percentile: 1.5859417915344238
60th percentile: 1.7407047271728515
70th percentile: 1.8954676628112792
80th percentile: 1.986341667175293
90th percentile: 2.0133267402648927
95th percentile: 2.026819276809692
99th percentile: 2.0376133060455324
mean time: 1.6299539089202881
Pipeline stage StressChecker completed in 9.47s
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 0.61s
Shutdown handler de-registered
cgato-nemo-12b-humanize_65651_v1 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 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service cgato-nemo-12b-humanize-65651-v1-profiler
Waiting for inference service cgato-nemo-12b-humanize-65651-v1-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 3839.70s
Shutdown handler de-registered
cgato-nemo-12b-humanize_65651_v1 status is now inactive due to auto deactivation removed underperforming models
cgato-nemo-12b-humanize_65651_v1 status is now torndown due to DeploymentManager action