SVD-LLM proposes innovative techniques to address limitations in existing SVD-based LLM compression methods. It demonstrates superior performance across various datasets and models, especially at high compression ratios. The method not only compresses LLMs effectively but also reduces the footprint of KV cache during inference at runtime.
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by Xin Wang,Yu ... at arxiv.org 03-13-2024
https://arxiv.org/pdf/2403.07378.pdfDeeper Inquiries