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Findings
IC-747
SOTA pruning methods (SparseGPT, Wanda, magnitude) cause significant degradation on knowledge-intensive tasks for Vicuna and Llama models at 25-30%+ unstructured sparsity, and fail completely for n:m structured sparsity
[eval]