NeuralZip: Reusable Setup for Fast Lossless Compression
NeuralZip introduces a reusable setup for fast lossless compression of model weights by grouping similar exponent distributions and sharing Huffman codes across chunks. This method achieves moderate compression gains, making post-setup compression 1.81–21.33× faster than baselines while maintaining exact bit-to-bit reconstruction.