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quant-recipe-search

80 / 100 · Low risk

Fine to try.

By NVIDIA/Model-Optimizer (GitHub) · design · 5,579 stars · scanned at commit 6713c5a

Use when the user asks to find, search for, or optimize the best quantization recipe for a model, including direct requests like "find the best quantization recipe and generate a PTQ checkpoint." Guides the multi-candidate loop: choose compute-vs-memory success metrics, select ModelOpt recipe baselines, design AutoQuant/manual recipe deltas, interpret sensitivity, and decide next candidates. Do NOT use for a single known PTQ recipe run (use ptq), serving (use deployment), creating/running evals…

Works with any agent that supports SKILL.md skills.

What this skill can do

Downloads and installs other software

The author does not mention this. It runs automatically when the plugin is installed.

Found in 2 places.

Runs commands on your computer

The author does not mention this. It runs automatically when the plugin is installed.

Found in 2 places.

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'quant-recipe-search' ] || [ -L ~/.agents/skills/'quant-recipe-search' ]; then echo 'A skill folder named quant-recipe-search already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/NVIDIA/Model-Optimizer' "$d" && git -C "$d" checkout --quiet '6713c5a679fab80fdd9b688df01845f545c307b1' -- 'plugins/modelopt/skills/quant-recipe-search' && mkdir -p ~/.agents/skills && cp -R "$d"/'plugins/modelopt/skills/quant-recipe-search' ~/.agents/skills/'quant-recipe-search' && 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/'quant-recipe-search' ~/.claude/skills/'quant-recipe-search' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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Score history

DateVersionScore
2026-11-106713c5a80