Individual skill

model-pruning

Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators. Covers unstructured pruning, structured pruning, N:M sparsity, magnitude pruning, and one-shot methods.

skills/emerging-techniques/model-pruning/SKILL.md

Source commit 3456bb4cfa534b491ca0f826a8c7e29919a8aaf4

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Last checked

Nov 10, 2026

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