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 alexxi19-ft-v1-violet-v9-mkmlizer
Waiting for job on alexxi19-ft-v1-violet-v9-mkmlizer to finish
alexxi19-ft-v1-violet-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexxi19-ft-v1-violet-v9-mkmlizer: ║ _____ __ __ ║
alexxi19-ft-v1-violet-v9-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexxi19-ft-v1-violet-v9-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexxi19-ft-v1-violet-v9-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexxi19-ft-v1-violet-v9-mkmlizer: ║ /___/ ║
alexxi19-ft-v1-violet-v9-mkmlizer: ║ ║
alexxi19-ft-v1-violet-v9-mkmlizer: ║ Version: 0.11.12 ║
alexxi19-ft-v1-violet-v9-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexxi19-ft-v1-violet-v9-mkmlizer: ║ https://mk1.ai ║
alexxi19-ft-v1-violet-v9-mkmlizer: ║ ║
alexxi19-ft-v1-violet-v9-mkmlizer: ║ The license key for the current software has been verified as ║
alexxi19-ft-v1-violet-v9-mkmlizer: ║ belonging to: ║
alexxi19-ft-v1-violet-v9-mkmlizer: ║ ║
alexxi19-ft-v1-violet-v9-mkmlizer: ║ Chai Research Corp. ║
alexxi19-ft-v1-violet-v9-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexxi19-ft-v1-violet-v9-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
alexxi19-ft-v1-violet-v9-mkmlizer: ║ ║
alexxi19-ft-v1-violet-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexxi19-ft-v1-violet-v9-mkmlizer: Downloaded to shared memory in 31.461s
alexxi19-ft-v1-violet-v9-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0q7i07bd, device:0
alexxi19-ft-v1-violet-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexxi19-ft-v1-violet-v9-mkmlizer: /opt/conda/lib/python3.10/site-packages/mk1/flywheel/functional/loader.py:55: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
alexxi19-ft-v1-violet-v9-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
alexxi19-ft-v1-violet-v9-mkmlizer: quantized model in 35.293s
alexxi19-ft-v1-violet-v9-mkmlizer: Processed model alexxi19/ft-v1-violet in 66.754s
alexxi19-ft-v1-violet-v9-mkmlizer: creating bucket guanaco-mkml-models
alexxi19-ft-v1-violet-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexxi19-ft-v1-violet-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexxi19-ft-v1-violet-v9
alexxi19-ft-v1-violet-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexxi19-ft-v1-violet-v9/config.json
alexxi19-ft-v1-violet-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexxi19-ft-v1-violet-v9/special_tokens_map.json
alexxi19-ft-v1-violet-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexxi19-ft-v1-violet-v9/tokenizer_config.json
alexxi19-ft-v1-violet-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexxi19-ft-v1-violet-v9/tokenizer.json
alexxi19-ft-v1-violet-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexxi19-ft-v1-violet-v9/flywheel_model.0.safetensors
alexxi19-ft-v1-violet-v9-mkmlizer:
Loading 0: 0%| | 0/363 [00:00<?, ?it/s]
Loading 0: 2%|▏ | 7/363 [00:00<00:06, 52.50it/s]
Loading 0: 6%|▌ | 22/363 [00:00<00:04, 83.03it/s]
Loading 0: 9%|▉ | 32/363 [00:00<00:03, 89.34it/s]
Loading 0: 12%|█▏ | 42/363 [00:00<00:03, 92.37it/s]
Loading 0: 14%|█▍ | 52/363 [00:00<00:03, 78.03it/s]
Loading 0: 17%|█▋ | 61/363 [00:01<00:15, 19.86it/s]
Loading 0: 19%|█▉ | 70/363 [00:01<00:11, 25.91it/s]
Loading 0: 22%|██▏ | 79/363 [00:02<00:08, 32.90it/s]
Loading 0: 24%|██▍ | 88/363 [00:02<00:06, 39.45it/s]
Loading 0: 27%|██▋ | 97/363 [00:02<00:05, 45.97it/s]
Loading 0: 29%|██▉ | 106/363 [00:02<00:04, 53.62it/s]
Loading 0: 32%|███▏ | 115/363 [00:02<00:04, 60.69it/s]
Loading 0: 34%|███▍ | 124/363 [00:02<00:03, 66.48it/s]
Loading 0: 37%|███▋ | 133/363 [00:02<00:03, 68.43it/s]
Loading 0: 39%|███▉ | 142/363 [00:03<00:10, 20.98it/s]
Loading 0: 42%|████▏ | 151/363 [00:03<00:07, 27.16it/s]
Loading 0: 44%|████▍ | 160/363 [00:04<00:05, 34.28it/s]
Loading 0: 47%|████▋ | 169/363 [00:04<00:04, 41.60it/s]
Loading 0: 49%|████▉ | 178/363 [00:04<00:03, 47.65it/s]
Loading 0: 52%|█████▏ | 187/363 [00:04<00:03, 54.69it/s]
Loading 0: 54%|█████▍ | 196/363 [00:04<00:02, 61.38it/s]
Loading 0: 56%|█████▋ | 205/363 [00:04<00:02, 67.01it/s]
Loading 0: 59%|█████▉ | 214/363 [00:04<00:02, 69.40it/s]
Loading 0: 61%|██████▏ | 223/363 [00:05<00:06, 20.52it/s]
Loading 0: 64%|██████▍ | 232/363 [00:06<00:04, 26.54it/s]
Loading 0: 66%|██████▋ | 241/363 [00:06<00:03, 33.32it/s]
Loading 0: 69%|██████▉ | 250/363 [00:06<00:02, 40.43it/s]
Loading 0: 71%|███████▏ | 259/363 [00:06<00:02, 45.93it/s]
Loading 0: 74%|███████▍ | 268/363 [00:06<00:01, 52.62it/s]
Loading 0: 76%|███████▋ | 277/363 [00:06<00:01, 59.92it/s]
Loading 0: 79%|███████▉ | 286/363 [00:06<00:01, 66.40it/s]
Loading 0: 81%|████████▏ | 295/363 [00:06<00:00, 71.49it/s]
Loading 0: 84%|████████▎ | 304/363 [00:07<00:02, 20.63it/s]
Loading 0: 86%|████████▌ | 313/363 [00:08<00:01, 26.70it/s]
Loading 0: 89%|████████▊ | 322/363 [00:08<00:01, 33.76it/s]
Loading 0: 91%|█████████ | 331/363 [00:08<00:00, 40.25it/s]
Loading 0: 94%|█████████▎| 340/363 [00:08<00:00, 46.83it/s]
Loading 0: 96%|█████████▌| 349/363 [00:08<00:00, 54.47it/s]
Loading 0: 99%|█████████▊| 358/363 [00:08<00:00, 61.55it/s]
Job alexxi19-ft-v1-violet-v9-mkmlizer completed after 93.54s with status: succeeded
Stopping job with name alexxi19-ft-v1-violet-v9-mkmlizer
Pipeline stage MKMLizer completed in 94.01s
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 alexxi19-ft-v1-violet-v9
Waiting for inference service alexxi19-ft-v1-violet-v9 to be ready
Inference service alexxi19-ft-v1-violet-v9 ready after 200.68530201911926s
Pipeline stage MKMLDeployer completed in 201.24s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.521254539489746s
Received healthy response to inference request in 1.2307147979736328s
Received healthy response to inference request in 1.348597764968872s
Received healthy response to inference request in 1.5726406574249268s
Received healthy response to inference request in 1.406303882598877s
5 requests
0 failed requests
5th percentile: 1.2542913913726808
10th percentile: 1.2778679847717285
20th percentile: 1.3250211715698241
30th percentile: 1.3601389884948731
40th percentile: 1.383221435546875
50th percentile: 1.406303882598877
60th percentile: 1.4522841453552247
70th percentile: 1.4982644081115724
80th percentile: 1.5315317630767822
90th percentile: 1.5520862102508546
95th percentile: 1.5623634338378907
99th percentile: 1.5705852127075195
mean time: 1.415902328491211
Pipeline stage StressChecker completed in 8.72s
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 0.70s
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 0.65s
Shutdown handler de-registered
alexxi19-ft-v1-violet_v9 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 0.11s
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 alexxi19-ft-v1-violet-v9-profiler
Waiting for inference service alexxi19-ft-v1-violet-v9-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 4232.03s
Shutdown handler de-registered
alexxi19-ft-v1-violet_v9 status is now inactive due to auto deactivation removed underperforming models
alexxi19-ft-v1-violet_v9 status is now torndown due to DeploymentManager action
alexxi19-ft-v1-violet_v9 status is now torndown due to DeploymentManager action
alexxi19-ft-v1-violet_v9 status is now torndown due to DeploymentManager action