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Tsinghua University and Harbin Institute of Technology proposed the OneBit method: large models can be compressed to 1 bit while maintaining 83% performance
Recently, Tsinghua University and Harbin Institute of Technology jointly published a paper that successfully compressed a large model to 1 bit while maintaining the performance of 83%. This achievement marks a major breakthrough in the field of quantization models. In the past, quantization below 2 bits has always been an insurmountable obstacle for researchers, and this attempt at 1-bit quantization has attracted widespread attention from the academic community at home and abroad. The OneBit method proposed in this study is the first attempt to compress a pre-trained large model to a true 1 bit. Through a new 1-bit layer structure, SVID-based parameter initialization and quantization…- 4.3k
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