GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.
安装
npx skills add davila7/claude-code-templates --skill gguf-quantizationnpx skills add davila7/claude-code-templates --skill gguf-quantization -a claude-code -gnpx skills add davila7/claude-code-templates --skill gguf-quantization -a codex -ggemini skills install https://github.com/davila7/claude-code-templates.git --path cli-tool/components/skills/ai-research/optimization-ggufgh skill install davila7/claude-code-templates gguf-quantizationgit clone --depth 1 https://github.com/davila7/claude-code-templates /tmp/davila7__claude-code-templates
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/ai-research/optimization-gguf ~/.claude/skills/gguf-quantization # Claude Code
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/ai-research/optimization-gguf ~/.agents/skills/gguf-quantization # Codex, Cursor, Gemini CLI, Copilot, OpenCode