model-pruning
80 / 100 · Low risk
Fine to try.
Reduza o tamanho de LLMs e acelere a inferência usando técnicas de pruning como Wanda e SparseGPT. Use para comprimir modelos sem retreinamento, alcançando 50% de esparsidade com perda mínima de acurácia, ou ativando inferência mais rápida em aceleradores de hardware. Cobre pruning não estruturado, pruning estruturado, esparsidade N:M, pruning por magnitude e métodos one-shot.
What this skill can do
Runs commands on your computer
Downloads and installs other software
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'model-pruning' ] || [ -L ~/.agents/skills/'model-pruning' ]; then echo 'A skill folder named model-pruning already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/artubss/SKILLS-CLAUDE-CODE' "$d" && git -C "$d" checkout --quiet 'ac67ed85889b15fa9e784e2a93a83f8916870698' -- 'skills/skills/ai-research/emerging-techniques-model-pruning' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/skills/ai-research/emerging-techniques-model-pruning' ~/.agents/skills/'model-pruning' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'model-pruning' ~/.claude/skills/'model-pruning' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/artubss/SKILLS-CLAUDE-CODE/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-08 | ac67ed8 | 80 |