ProcrustesGPT searches for per-layer orthogonal rotations that make pretrained LLM weights fit Kronecker or GS structured matrices, cutting 14 to 36 percent of parameters without fine-tuning.
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ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations
ProcrustesGPT searches for per-layer orthogonal rotations that make pretrained LLM weights fit Kronecker or GS structured matrices, cutting 14 to 36 percent of parameters without fine-tuning.