Efficient LLM Compression with SparseGPT and Wanda on GPU Cloud

This tutorial examines techniques for reducing large language model size through pruning, comparing SparseGPT, which uses reconstruction-based optimization, with Wanda, a simpler activation-aware approach. It explains how pruning reduces the total number of non-zero weights in the model and covers implementation strategies for GPU cloud infrastructure deployment.