model-pruning
De la autor
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.
Instalare
npx skills add Orchestra-Research/AI-Research-SKILLs --skill model-pruning -a claude-code
Se instalează în .claude/skills/model-pruning/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
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