2025
PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models
NeurIPS 2025poster
Channel permutation is a powerful technique for enhancing the accuracy of N:M sparse models by reordering the channels of weight matrices to prioritize the retention of important weights. However, traditional channel permutation methods rely on handcrafted quality metrics, which often fail to accur…