linkedin / QuantEaseView on GitHub
QuantEase, a layer-wise quantization framework, frames the problem as discrete-structured non-convex optimization. Our work leverages Coordinate Descent techniques, offering high-quality solutions without the need for matrix inversion or decomposition.
19Feb 22, 2024Updated 2 years ago

Alternatives and similar repositories for QuantEase

Users that are interested in QuantEase are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.

Sorting:

Are these results useful?