Highly Efficient and Effective LLMs with Multi-Boolean Architectures

arXiv:2505.22811v4 Announce Type: replace-cross Abstract: Weight binarization has emerged as a promising strategy to reduce the complexity of large language models (LLMs). Existing approaches fall into post-training binarization, which is simple but causes severe performance l...

🔗 Read more: https://arxiv.org/abs/2505.22811

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