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Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

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Hello, I'm trying to train YOLOv8-large in int4 format. I took the training recipe available at [sparsezoo](https://sparsezoo.neuralmagic.com/models/yolov8-l-coco-pruned85_quantized?hardware=deepsparse-c4.8xlarge&comparison=yolov8-l-coco-base) for training yolov8-large. I modified the num_bits to 4 everywhere. I also saw...

Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.26.18 to 1.26.19. Release notes Sourced from urllib3's releases. 1.26.19 🚀 urllib3 is fundraising for HTTP/2 support urllib3 is raising ~$40,000 USD to release HTTP/2 support and...

dependencies

Bumps [scikit-learn](https://github.com/scikit-learn/scikit-learn) from 0.24.2 to 1.5.0. Release notes Sourced from scikit-learn's releases. Scikit-learn 1.5.0 We're happy to announce the 1.5.0 release. You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html and...

dependencies

Update trochvision/train.py to accomodate: - iWildcam. This code would be read through the ImageFolder format, but requires different resizes and crops. - Transfer datasets (Aircraft, DTD, Flowers) - these would...

Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.3.2 to 6.4.1. Changelog Sourced from tornado's changelog. Release notes .. toctree:: :maxdepth: 2 releases/v6.4.1 releases/v6.4.0 releases/v6.3.3 releases/v6.3.2 releases/v6.3.1 releases/v6.3.0 releases/v6.2.0 releases/v6.1.0 releases/v6.0.4 releases/v6.0.3 releases/v6.0.2 releases/v6.0.1 releases/v6.0.0...

dependencies

Bumps [requests](https://github.com/psf/requests) from 2.31.0 to 2.32.0. Release notes Sourced from requests's releases. v2.32.0 2.32.0 (2024-05-20) 🐍 PYCON US 2024 EDITION 🐍 Security Fixed an issue where setting verify=False on the...

dependencies

Thanks for the great work! Now I have my own sparsified and GPTQ-quantized model, I'd like to run it in deepsparse to see some inference speedup or other advantages. To...

enhancement

Hi! in the recipe, if i do not want to quantize and perform structured pruning, is it okk to give quantize:false like below and do not provide QuantizationModifier in the...