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 ilyagusev-saiga-nemo-12b-v24-mkmlizer
Waiting for job on ilyagusev-saiga-nemo-12b-v24-mkmlizer to finish
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ _____ __ __ ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ /___/ ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ Version: 0.12.8 ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ https://mk1.ai ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ The license key for the current software has been verified as ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ belonging to: ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ Chai Research Corp. ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ║ ║
ilyagusev-saiga-nemo-12b-v24-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
ilyagusev-saiga-nemo-12b-v24-mkmlizer: Downloaded to shared memory in 30.974s
ilyagusev-saiga-nemo-12b-v24-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_o5nmljs, device:0
ilyagusev-saiga-nemo-12b-v24-mkmlizer: Saving flywheel model at /dev/shm/model_cache
ilyagusev-saiga-nemo-12b-v24-mkmlizer: quantized model in 39.265s
ilyagusev-saiga-nemo-12b-v24-mkmlizer: Processed model IlyaGusev/saiga_nemo_12b in 70.240s
ilyagusev-saiga-nemo-12b-v24-mkmlizer: creating bucket guanaco-mkml-models
ilyagusev-saiga-nemo-12b-v24-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
ilyagusev-saiga-nemo-12b-v24-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v24
ilyagusev-saiga-nemo-12b-v24-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v24/special_tokens_map.json
ilyagusev-saiga-nemo-12b-v24-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v24/config.json
ilyagusev-saiga-nemo-12b-v24-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v24/tokenizer_config.json
ilyagusev-saiga-nemo-12b-v24-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v24/tokenizer.json
ilyagusev-saiga-nemo-12b-v24-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v24/flywheel_model.0.safetensors
ilyagusev-saiga-nemo-12b-v24-mkmlizer:
Loading 0: 0%| | 0/363 [00:00<?, ?it/s]
Loading 0: 1%|▏ | 5/363 [00:00<00:13, 27.08it/s]
Loading 0: 3%|▎ | 12/363 [00:00<00:08, 41.80it/s]
Loading 0: 5%|▍ | 17/363 [00:00<00:08, 39.63it/s]
Loading 0: 6%|▌ | 22/363 [00:00<00:08, 38.48it/s]
Loading 0: 7%|▋ | 26/363 [00:00<00:08, 37.49it/s]
Loading 0: 8%|▊ | 30/363 [00:00<00:08, 37.00it/s]
Loading 0: 9%|▉ | 34/363 [00:00<00:09, 34.93it/s]
Loading 0: 11%|█ | 39/363 [00:01<00:08, 36.98it/s]
Loading 0: 12%|█▏ | 43/363 [00:01<00:09, 35.08it/s]
Loading 0: 13%|█▎ | 48/363 [00:01<00:08, 37.12it/s]
Loading 0: 14%|█▍ | 52/363 [00:01<00:08, 35.19it/s]
Loading 0: 15%|█▌ | 56/363 [00:01<00:08, 34.43it/s]
Loading 0: 17%|█▋ | 60/363 [00:01<00:08, 35.48it/s]
Loading 0: 18%|█▊ | 64/363 [00:02<00:14, 20.99it/s]
Loading 0: 19%|█▉ | 69/363 [00:02<00:11, 26.08it/s]
Loading 0: 20%|██ | 73/363 [00:02<00:11, 26.23it/s]
Loading 0: 21%|██▏ | 78/363 [00:02<00:09, 30.66it/s]
Loading 0: 23%|██▎ | 82/363 [00:02<00:09, 28.90it/s]
Loading 0: 24%|██▍ | 87/363 [00:02<00:08, 33.38it/s]
Loading 0: 25%|██▌ | 91/363 [00:02<00:08, 30.95it/s]
Loading 0: 26%|██▋ | 96/363 [00:02<00:07, 34.82it/s]
Loading 0: 28%|██▊ | 100/363 [00:03<00:08, 32.24it/s]
Loading 0: 29%|██▉ | 105/363 [00:03<00:07, 35.96it/s]
Loading 0: 30%|███ | 110/363 [00:03<00:06, 37.23it/s]
Loading 0: 31%|███▏ | 114/363 [00:03<00:07, 34.99it/s]
Loading 0: 33%|███▎ | 118/363 [00:03<00:07, 32.51it/s]
Loading 0: 34%|███▍ | 123/363 [00:03<00:06, 36.71it/s]
Loading 0: 35%|███▍ | 127/363 [00:03<00:07, 33.04it/s]
Loading 0: 36%|███▋ | 132/363 [00:03<00:06, 37.06it/s]
Loading 0: 37%|███▋ | 136/363 [00:04<00:06, 33.22it/s]
Loading 0: 39%|███▉ | 141/363 [00:04<00:06, 36.38it/s]
Loading 0: 40%|███▉ | 145/363 [00:04<00:09, 23.93it/s]
Loading 0: 41%|████ | 149/363 [00:04<00:08, 24.17it/s]
Loading 0: 42%|████▏ | 154/363 [00:04<00:07, 28.60it/s]
Loading 0: 44%|████▎ | 158/363 [00:04<00:07, 27.87it/s]
Loading 0: 45%|████▍ | 163/363 [00:05<00:06, 32.14it/s]
Loading 0: 46%|████▌ | 167/363 [00:05<00:06, 30.04it/s]
Loading 0: 47%|████▋ | 172/363 [00:05<00:05, 34.13it/s]
Loading 0: 48%|████▊ | 176/363 [00:05<00:05, 31.31it/s]
Loading 0: 50%|████▉ | 181/363 [00:05<00:05, 35.05it/s]
Loading 0: 51%|█████ | 185/363 [00:05<00:05, 31.91it/s]
Loading 0: 52%|█████▏ | 190/363 [00:05<00:04, 35.57it/s]
Loading 0: 53%|█████▎ | 194/363 [00:06<00:05, 31.71it/s]
Loading 0: 55%|█████▍ | 199/363 [00:06<00:04, 34.73it/s]
Loading 0: 56%|█████▌ | 203/363 [00:06<00:05, 31.59it/s]
Loading 0: 57%|█████▋ | 208/363 [00:06<00:04, 35.32it/s]
Loading 0: 58%|█████▊ | 212/363 [00:06<00:04, 31.71it/s]
Loading 0: 60%|█████▉ | 217/363 [00:06<00:04, 35.16it/s]
Loading 0: 61%|██████ | 222/363 [00:06<00:03, 36.21it/s]
Loading 0: 62%|██████▏ | 226/363 [00:07<00:05, 23.84it/s]
Loading 0: 63%|██████▎ | 230/363 [00:07<00:05, 24.14it/s]
Loading 0: 65%|██████▍ | 235/363 [00:07<00:04, 28.42it/s]
Loading 0: 66%|██████▌ | 239/363 [00:07<00:04, 27.35it/s]
Loading 0: 67%|██████▋ | 244/363 [00:07<00:03, 31.44it/s]
Loading 0: 68%|██████▊ | 248/363 [00:07<00:03, 29.69it/s]
Loading 0: 70%|██████▉ | 253/363 [00:07<00:03, 33.96it/s]
Loading 0: 71%|███████ | 257/363 [00:08<00:03, 31.70it/s]
Loading 0: 72%|███████▏ | 262/363 [00:08<00:02, 35.82it/s]
Loading 0: 73%|███████▎ | 266/363 [00:08<00:02, 32.84it/s]
Loading 0: 75%|███████▍ | 271/363 [00:08<00:02, 36.34it/s]
Loading 0: 76%|███████▌ | 275/363 [00:08<00:02, 33.17it/s]
Loading 0: 77%|███████▋ | 280/363 [00:08<00:02, 37.21it/s]
Loading 0: 78%|███████▊ | 284/363 [00:08<00:02, 33.39it/s]
Loading 0: 80%|███████▉ | 289/363 [00:08<00:02, 36.99it/s]
Loading 0: 81%|████████ | 293/363 [00:09<00:02, 33.19it/s]
Loading 0: 82%|████████▏ | 298/363 [00:09<00:01, 36.73it/s]
Loading 0: 83%|████████▎ | 303/363 [00:09<00:01, 36.97it/s]
Loading 0: 85%|████████▍ | 307/363 [00:16<00:27, 2.07it/s]
Loading 0: 86%|████████▌ | 312/363 [00:16<00:17, 2.97it/s]
Loading 0: 87%|████████▋ | 317/363 [00:16<00:10, 4.21it/s]
Loading 0: 88%|████████▊ | 321/363 [00:16<00:07, 5.42it/s]
Loading 0: 90%|████████▉ | 326/363 [00:16<00:04, 7.59it/s]
Loading 0: 91%|█████████ | 330/363 [00:16<00:03, 9.40it/s]
Loading 0: 92%|█████████▏| 335/363 [00:17<00:02, 12.73it/s]
Loading 0: 93%|█████████▎| 339/363 [00:17<00:01, 14.78it/s]
Loading 0: 95%|█████████▍| 344/363 [00:17<00:00, 19.04it/s]
Loading 0: 96%|█████████▌| 348/363 [00:17<00:00, 20.63it/s]
Loading 0: 97%|█████████▋| 353/363 [00:17<00:00, 25.37it/s]
Loading 0: 98%|█████████▊| 357/363 [00:17<00:00, 25.73it/s]
Loading 0: 100%|█████████▉| 362/363 [00:17<00:00, 30.10it/s]
Job ilyagusev-saiga-nemo-12b-v24-mkmlizer completed after 93.71s with status: succeeded
Stopping job with name ilyagusev-saiga-nemo-12b-v24-mkmlizer
Pipeline stage MKMLizer completed in 94.19s
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 ilyagusev-saiga-nemo-12b-v24
Waiting for inference service ilyagusev-saiga-nemo-12b-v24 to be ready
Inference service ilyagusev-saiga-nemo-12b-v24 ready after 230.79880785942078s
Pipeline stage MKMLDeployer completed in 231.37s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.348513126373291s
Received healthy response to inference request in 1.5143983364105225s
Received healthy response to inference request in 1.83815336227417s
Received healthy response to inference request in 1.5500555038452148s
Received healthy response to inference request in 1.5328824520111084s
5 requests
0 failed requests
5th percentile: 1.5180951595306396
10th percentile: 1.5217919826507569
20th percentile: 1.5291856288909913
30th percentile: 1.5363170623779296
40th percentile: 1.5431862831115724
50th percentile: 1.5500555038452148
60th percentile: 1.6652946472167969
70th percentile: 1.780533790588379
80th percentile: 1.9402253150939943
90th percentile: 2.1443692207336427
95th percentile: 2.2464411735534666
99th percentile: 2.328098735809326
mean time: 1.7568005561828612
Pipeline stage StressChecker completed in 10.14s
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 0.68s
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 0.66s
Shutdown handler de-registered
ilyagusev-saiga-nemo-12b_v24 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 0.08s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service ilyagusev-saiga-nemo-12b-v24-profiler
Waiting for inference service ilyagusev-saiga-nemo-12b-v24-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2825.43s
Shutdown handler de-registered
ilyagusev-saiga-nemo-12b_v24 status is now inactive due to auto deactivation removed underperforming models
ilyagusev-saiga-nemo-12b_v24 status is now torndown due to DeploymentManager action
ilyagusev-saiga-nemo-12b_v24 status is now torndown due to DeploymentManager action
ilyagusev-saiga-nemo-12b_v24 status is now torndown due to DeploymentManager action