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 mistralai-mistral-nem-93303-v278-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v278-mkmlizer to finish
mistralai-mistral-nem-93303-v278-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v278-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nem-93303-v278-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nem-93303-v278-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nem-93303-v278-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nem-93303-v278-mkmlizer: ║ /___/ ║
mistralai-mistral-nem-93303-v278-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v278-mkmlizer: ║ Version: 0.11.12 ║
mistralai-mistral-nem-93303-v278-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nem-93303-v278-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nem-93303-v278-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v278-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nem-93303-v278-mkmlizer: ║ belonging to: ║
mistralai-mistral-nem-93303-v278-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v278-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nem-93303-v278-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nem-93303-v278-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
mistralai-mistral-nem-93303-v278-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v278-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v278-mkmlizer: Downloaded to shared memory in 48.208s
mistralai-mistral-nem-93303-v278-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5al627ld, device:0
mistralai-mistral-nem-93303-v278-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v278-mkmlizer: quantized model in 36.741s
mistralai-mistral-nem-93303-v278-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 84.949s
mistralai-mistral-nem-93303-v278-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v278-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v278-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v278
mistralai-mistral-nem-93303-v278-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v278/config.json
mistralai-mistral-nem-93303-v278-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v278/special_tokens_map.json
mistralai-mistral-nem-93303-v278-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v278/tokenizer_config.json
mistralai-mistral-nem-93303-v278-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v278/tokenizer.json
mistralai-mistral-nem-93303-v278-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v278/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v278-mkmlizer:
Loading 0: 0%| | 0/363 [00:00<?, ?it/s]
Loading 0: 1%|▏ | 5/363 [00:00<00:11, 30.04it/s]
Loading 0: 3%|▎ | 12/363 [00:00<00:07, 47.36it/s]
Loading 0: 5%|▍ | 18/363 [00:00<00:07, 46.98it/s]
Loading 0: 6%|▋ | 23/363 [00:00<00:09, 37.02it/s]
Loading 0: 9%|▊ | 31/363 [00:00<00:07, 46.90it/s]
Loading 0: 10%|█ | 37/363 [00:00<00:07, 45.24it/s]
Loading 0: 12%|█▏ | 42/363 [00:00<00:07, 43.87it/s]
Loading 0: 13%|█▎ | 49/363 [00:01<00:06, 49.26it/s]
Loading 0: 15%|█▌ | 55/363 [00:01<00:07, 43.89it/s]
Loading 0: 17%|█▋ | 61/363 [00:01<00:09, 31.54it/s]
Loading 0: 18%|█▊ | 65/363 [00:01<00:09, 31.02it/s]
Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 37.30it/s]
Loading 0: 21%|██ | 77/363 [00:01<00:07, 38.78it/s]
Loading 0: 23%|██▎ | 82/363 [00:02<00:08, 33.16it/s]
Loading 0: 25%|██▍ | 89/363 [00:02<00:06, 40.50it/s]
Loading 0: 26%|██▌ | 94/363 [00:02<00:07, 36.00it/s]
Loading 0: 27%|██▋ | 99/363 [00:02<00:07, 37.61it/s]
Loading 0: 29%|██▉ | 105/363 [00:02<00:06, 39.13it/s]
Loading 0: 31%|███ | 112/363 [00:02<00:05, 43.95it/s]
Loading 0: 32%|███▏ | 117/363 [00:02<00:05, 41.87it/s]
Loading 0: 34%|███▎ | 122/363 [00:03<00:05, 43.11it/s]
Loading 0: 35%|███▍ | 127/363 [00:03<00:06, 37.54it/s]
Loading 0: 37%|███▋ | 134/363 [00:03<00:05, 44.99it/s]
Loading 0: 38%|███▊ | 139/363 [00:03<00:04, 45.53it/s]
Loading 0: 40%|███▉ | 144/363 [00:03<00:07, 27.48it/s]
Loading 0: 41%|████ | 149/363 [00:03<00:07, 29.86it/s]
Loading 0: 43%|████▎ | 156/363 [00:04<00:05, 36.54it/s]
Loading 0: 44%|████▍ | 161/363 [00:04<00:05, 36.16it/s]
Loading 0: 46%|████▌ | 166/363 [00:04<00:05, 37.74it/s]
Loading 0: 47%|████▋ | 172/363 [00:04<00:04, 39.32it/s]
Loading 0: 49%|████▉ | 177/363 [00:04<00:04, 40.68it/s]
Loading 0: 51%|█████ | 184/363 [00:04<00:03, 45.81it/s]
Loading 0: 52%|█████▏ | 190/363 [00:04<00:03, 43.69it/s]
Loading 0: 54%|█████▎ | 195/363 [00:04<00:04, 41.82it/s]
Loading 0: 55%|█████▌ | 201/363 [00:05<00:03, 45.98it/s]
Loading 0: 57%|█████▋ | 206/363 [00:05<00:03, 46.47it/s]
Loading 0: 58%|█████▊ | 211/363 [00:05<00:03, 46.47it/s]
Loading 0: 60%|█████▉ | 216/363 [00:05<00:03, 46.73it/s]
Loading 0: 61%|██████ | 222/363 [00:05<00:03, 44.73it/s]
Loading 0: 63%|██████▎ | 227/363 [00:05<00:04, 28.67it/s]
Loading 0: 64%|██████▎ | 231/363 [00:05<00:04, 28.91it/s]
Loading 0: 65%|██████▌ | 237/363 [00:06<00:03, 34.75it/s]
Loading 0: 67%|██████▋ | 242/363 [00:06<00:03, 36.34it/s]
Loading 0: 68%|██████▊ | 247/363 [00:06<00:03, 38.56it/s]
Loading 0: 70%|██████▉ | 253/363 [00:06<00:02, 39.74it/s]
Loading 0: 71%|███████ | 258/363 [00:06<00:02, 40.37it/s]
Loading 0: 73%|███████▎ | 265/363 [00:06<00:02, 45.68it/s]
Loading 0: 75%|███████▍ | 271/363 [00:06<00:02, 45.03it/s]
Loading 0: 76%|███████▌ | 276/363 [00:06<00:02, 43.22it/s]
Loading 0: 78%|███████▊ | 282/363 [00:07<00:01, 45.52it/s]
Loading 0: 79%|███████▉ | 287/363 [00:07<00:01, 44.45it/s]
Loading 0: 80%|████████ | 292/363 [00:07<00:01, 44.59it/s]
Loading 0: 82%|████████▏ | 297/363 [00:07<00:01, 45.61it/s]
Loading 0: 83%|████████▎ | 302/363 [00:07<00:01, 44.30it/s]
Loading 0: 85%|████████▍ | 307/363 [00:14<00:23, 2.34it/s]
Loading 0: 86%|████████▌ | 312/363 [00:14<00:15, 3.23it/s]
Loading 0: 88%|████████▊ | 320/363 [00:14<00:08, 5.26it/s]
Loading 0: 90%|████████▉ | 326/363 [00:14<00:05, 7.17it/s]
Loading 0: 91%|█████████ | 331/363 [00:15<00:03, 9.17it/s]
Loading 0: 93%|█████████▎| 338/363 [00:15<00:01, 13.03it/s]
Loading 0: 95%|█████████▍| 344/363 [00:15<00:01, 16.09it/s]
Loading 0: 96%|█████████▌| 349/363 [00:15<00:00, 19.17it/s]
Loading 0: 98%|█████████▊| 356/363 [00:15<00:00, 25.28it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 28.64it/s]
Job mistralai-mistral-nem-93303-v278-mkmlizer completed after 104.13s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v278-mkmlizer
Pipeline stage MKMLizer completed in 104.65s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nem-93303-v278
Waiting for inference service mistralai-mistral-nem-93303-v278 to be ready
Inference service mistralai-mistral-nem-93303-v278 ready after 190.7468774318695s
Pipeline stage MKMLDeployer completed in 191.25s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.015137195587158s
Received healthy response to inference request in 1.6018774509429932s
Received healthy response to inference request in 1.5990028381347656s
Received healthy response to inference request in 1.8790032863616943s
Received healthy response to inference request in 1.1562507152557373s
5 requests
0 failed requests
5th percentile: 1.244801139831543
10th percentile: 1.3333515644073486
20th percentile: 1.5104524135589599
30th percentile: 1.5995777606964112
40th percentile: 1.6007276058197022
50th percentile: 1.6018774509429932
60th percentile: 1.7127277851104736
70th percentile: 1.823578119277954
80th percentile: 1.9062300682067872
90th percentile: 1.9606836318969727
95th percentile: 1.9879104137420653
99th percentile: 2.0096918392181395
mean time: 1.6502542972564698
Pipeline stage StressChecker completed in 9.63s
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 0.60s
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
mistralai-mistral-nem_93303_v278 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 mistralai-mistral-nem-93303-v278-profiler
Waiting for inference service mistralai-mistral-nem-93303-v278-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 2921.61s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v278 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v278 status is now torndown due to DeploymentManager action