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Podcast: Arxiv Papers
Episode: [QA] 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
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