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-nemo-9330-v212-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v212-mkmlizer to finish
mistralai-mistral-nemo-9330-v212-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ Version: 0.11.12 ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ belonging to: ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v212-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v212-mkmlizer: Downloaded to shared memory in 52.838s
mistralai-mistral-nemo-9330-v212-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqstrllq9, device:0
mistralai-mistral-nemo-9330-v212-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v212-mkmlizer: quantized model in 37.455s
mistralai-mistral-nemo-9330-v212-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 90.293s
mistralai-mistral-nemo-9330-v212-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v212-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v212-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v212
mistralai-mistral-nemo-9330-v212-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v212/config.json
mistralai-mistral-nemo-9330-v212-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v212/special_tokens_map.json
mistralai-mistral-nemo-9330-v212-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v212/tokenizer_config.json
mistralai-mistral-nemo-9330-v212-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v212/tokenizer.json
mistralai-mistral-nemo-9330-v212-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v212/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v212-mkmlizer:
Loading 0: 0%| | 0/363 [00:00<?, ?it/s]
Loading 0: 1%|▏ | 5/363 [00:00<00:11, 30.09it/s]
Loading 0: 4%|▎ | 13/363 [00:00<00:06, 50.51it/s]
Loading 0: 5%|▌ | 19/363 [00:00<00:07, 46.38it/s]
Loading 0: 7%|▋ | 24/363 [00:00<00:07, 44.06it/s]
Loading 0: 9%|▊ | 31/363 [00:00<00:06, 50.59it/s]
Loading 0: 10%|█ | 37/363 [00:00<00:06, 47.75it/s]
Loading 0: 12%|█▏ | 42/363 [00:00<00:06, 46.09it/s]
Loading 0: 13%|█▎ | 49/363 [00:01<00:06, 51.37it/s]
Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 47.90it/s]
Loading 0: 17%|█▋ | 61/363 [00:01<00:08, 35.87it/s]
Loading 0: 18%|█▊ | 66/363 [00:01<00:08, 35.97it/s]
Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 40.24it/s]
Loading 0: 21%|██ | 77/363 [00:01<00:07, 40.33it/s]
Loading 0: 23%|██▎ | 82/363 [00:02<00:08, 32.75it/s]
Loading 0: 25%|██▍ | 89/363 [00:02<00:07, 38.68it/s]
Loading 0: 26%|██▌ | 94/363 [00:02<00:07, 37.92it/s]
Loading 0: 27%|██▋ | 99/363 [00:02<00:07, 37.53it/s]
Loading 0: 28%|██▊ | 103/363 [00:02<00:06, 37.47it/s]
Loading 0: 30%|███ | 109/363 [00:02<00:05, 42.85it/s]
Loading 0: 31%|███▏ | 114/363 [00:02<00:06, 37.61it/s]
Loading 0: 33%|███▎ | 119/363 [00:02<00:06, 36.43it/s]
Loading 0: 34%|███▍ | 125/363 [00:03<00:05, 41.34it/s]
Loading 0: 36%|███▌ | 130/363 [00:03<00:05, 39.35it/s]
Loading 0: 37%|███▋ | 135/363 [00:03<00:05, 39.87it/s]
Loading 0: 39%|███▊ | 140/363 [00:03<00:05, 41.68it/s]
Loading 0: 40%|███▉ | 145/363 [00:03<00:08, 25.90it/s]
Loading 0: 41%|████ | 149/363 [00:03<00:08, 26.52it/s]
Loading 0: 43%|████▎ | 156/363 [00:04<00:06, 33.84it/s]
Loading 0: 44%|████▍ | 161/363 [00:04<00:05, 35.53it/s]
Loading 0: 46%|████▌ | 166/363 [00:04<00:05, 37.22it/s]
Loading 0: 47%|████▋ | 171/363 [00:04<00:04, 39.92it/s]
Loading 0: 48%|████▊ | 176/363 [00:04<00:05, 35.13it/s]
Loading 0: 50%|█████ | 183/363 [00:04<00:04, 42.21it/s]
Loading 0: 52%|█████▏ | 188/363 [00:04<00:04, 42.11it/s]
Loading 0: 53%|█████▎ | 193/363 [00:04<00:03, 42.58it/s]
Loading 0: 55%|█████▍ | 198/363 [00:05<00:03, 43.24it/s]
Loading 0: 56%|█████▌ | 203/363 [00:05<00:04, 34.75it/s]
Loading 0: 58%|█████▊ | 210/363 [00:05<00:03, 41.80it/s]
Loading 0: 59%|█████▉ | 215/363 [00:05<00:03, 41.22it/s]
Loading 0: 61%|██████ | 220/363 [00:05<00:03, 42.91it/s]
Loading 0: 62%|██████▏ | 225/363 [00:05<00:05, 25.92it/s]
Loading 0: 63%|██████▎ | 230/363 [00:06<00:04, 27.92it/s]
Loading 0: 65%|██████▌ | 237/363 [00:06<00:03, 34.39it/s]
Loading 0: 67%|██████▋ | 242/363 [00:06<00:03, 33.74it/s]
Loading 0: 68%|██████▊ | 247/363 [00:06<00:03, 35.93it/s]
Loading 0: 69%|██████▉ | 252/363 [00:06<00:02, 38.27it/s]
Loading 0: 71%|███████ | 257/363 [00:06<00:03, 33.63it/s]
Loading 0: 73%|███████▎ | 264/363 [00:06<00:02, 41.39it/s]
Loading 0: 74%|███████▍ | 269/363 [00:07<00:02, 41.77it/s]
Loading 0: 75%|███████▌ | 274/363 [00:07<00:02, 42.21it/s]
Loading 0: 77%|███████▋ | 280/363 [00:07<00:01, 42.30it/s]
Loading 0: 79%|███████▊ | 285/363 [00:07<00:01, 41.88it/s]
Loading 0: 80%|████████ | 291/363 [00:07<00:01, 45.75it/s]
Loading 0: 82%|████████▏ | 296/363 [00:07<00:01, 45.13it/s]
Loading 0: 83%|████████▎ | 301/363 [00:07<00:01, 46.16it/s]
Loading 0: 84%|████████▍ | 306/363 [00:14<00:23, 2.41it/s]
Loading 0: 85%|████████▌ | 310/363 [00:14<00:16, 3.13it/s]
Loading 0: 87%|████████▋ | 314/363 [00:14<00:11, 4.12it/s]
Loading 0: 88%|████████▊ | 320/363 [00:14<00:06, 6.17it/s]
Loading 0: 90%|████████▉ | 326/363 [00:15<00:04, 8.65it/s]
Loading 0: 91%|█████████ | 331/363 [00:15<00:02, 11.14it/s]
Loading 0: 93%|█████████▎| 338/363 [00:15<00:01, 15.93it/s]
Loading 0: 95%|█████████▍| 344/363 [00:15<00:00, 19.73it/s]
Loading 0: 96%|█████████▌| 349/363 [00:15<00:00, 23.04it/s]
Loading 0: 98%|█████████▊| 356/363 [00:15<00:00, 29.74it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 32.70it/s]
Job mistralai-mistral-nemo-9330-v212-mkmlizer completed after 114.59s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v212-mkmlizer
Pipeline stage MKMLizer completed in 115.12s
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 mistralai-mistral-nemo-9330-v212
Waiting for inference service mistralai-mistral-nemo-9330-v212 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service mistralai-mistral-nemo-9330-v212 ready after 170.60197973251343s
Pipeline stage MKMLDeployer completed in 171.15s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.399714946746826s
Received healthy response to inference request in 1.6306490898132324s
Received healthy response to inference request in 2.0177266597747803s
Received healthy response to inference request in 1.9590625762939453s
Received healthy response to inference request in 1.6486129760742188s
5 requests
0 failed requests
5th percentile: 1.6342418670654297
10th percentile: 1.637834644317627
20th percentile: 1.6450201988220214
30th percentile: 1.710702896118164
40th percentile: 1.8348827362060547
50th percentile: 1.9590625762939453
60th percentile: 1.9825282096862793
70th percentile: 2.0059938430786133
80th percentile: 2.0941243171691895
90th percentile: 2.246919631958008
95th percentile: 2.323317289352417
99th percentile: 2.3844354152679443
mean time: 1.9311532497406005
Pipeline stage StressChecker completed in 10.98s
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 2.27s
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 2.01s
Shutdown handler de-registered
mistralai-mistral-nemo_9330_v212 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 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service mistralai-mistral-nemo-9330-v212-profiler
Waiting for inference service mistralai-mistral-nemo-9330-v212-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 3085.33s
Shutdown handler de-registered
mistralai-mistral-nemo_9330_v212 status is now inactive due to auto deactivation removed underperforming models