model-pruning
•published 2026/01/23
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.
📦 Install Skill
Command line install
Install directly with the `skills` CLI.
npx skills add davila7/claude-code-templates/cli-tool/components/skills/ai-research/emerging-techniques-model-pruningFile Explorer
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