Want to create an interactive transcript for this episode?
Podcast: Arxiv Papers
Episode: MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
Description:
This paper presents a learnable pruning method for Large Language Models, achieving efficient N:M sparsity, improved mask quality, and transferability across tasks, outperforming existing techniques in empirical evaluations.
https://arxiv.org/abs//2409.17481
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers