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model-pruning

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<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT -->
---
name: model-pruning
description: Model pruning and sparsification techniques. Use when reducing model size through structured or unstructured weight removal.
tags: [model-pruning, emerging, research, compression]
---

# Model Pruning: Compressing LLMs

## When to Use This Skill

Use Model Pruning when you need to:
- **Reduce model size** by 40-60% with <1% accuracy loss
- **Accelerate inference** using hardware-friendly sparsity (2-4× speedup)
- **Deploy on constrained hardware** (mobile, edge devices)
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