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.

backend/cli/skills/ml-training/model-pruning/SKILL.md

Source commit a08e0ad0ad3d6448123039ee4659163eb2e35d99

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Last checked

Nov 2, 2026

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