SVD-Surgeon is a training-free method that applies the Optimal Brain Surgeon framework to singular-value decomposition. It computes a closed-form update for retained singular values to compensate for truncation, improving the perplexity-compression trade-off on OPT and LLaMA 2-7B models without retraining.