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SVD-Surgeon: Training-free optimal singular value compensation for LLM compression
SVD-Surgeon applies the Optimal Brain Surgeon (OBS) framework to singular-value decomposition-based LLM compression, computing closed-form updates to retained singular values that compensate for pruned ones to second order in the model loss. The method is training-free and modular, designed to layer on top of existing SVD compressors. Applied to SVD-LLM on OPT and LLaMA 2-7B, it improves the perplexity-compression trade-off without retraining.