Pruning model weights to fit small GPU footprints.
Scanned 9/10/2026
Install to Claude Code
npx -y skills add Rahulchaube1/Rahul-Chaube-Skills --skill weight-pruning --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Weight Pruning?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/rahulchaube1-weight-pruning)More formats (shields.io, HTML) on the badges page.
---
name: weight-pruning
description: Pruning model weights to fit small GPU footprints.
category: training-tuning
level: standard
---
# Weight Pruning
## Overview
Pruning model weights to fit small GPU footprints.
## When to Use
- Standard workflow tasks related to weight pruning.
## When NOT to Use
- Out-of-scope scenarios.
## Prompt Template
```markdown
Execute the weight-pruning process targeting the parameters below.
Parameters: {{parameters}}
```
## Evaluation Checklist
- [ ] Task matches structural schemas.
- [ ] Output is clean and formatted.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!