gguf-quantization
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.
- Score
- Unranked
- Evidence
- No signals yet
- Last commit
- Not known
- Listed
Install
armory install gguf-quantization --cli claudewrites the skill into.claude/skills/gguf-quantization/SKILL.mdListed as compatible
# fetches the source and writes it to:
.claude/skills/gguf-quantization/SKILL.mdNeeds the armory CLI · not on npm yet, build it from cli/ in the repository
What it is
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.
When to use it
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.
How to install / invoke
# Copy the skill into your .claude/skills/ directory
curl -sL https://raw.githubusercontent.com/davila7/claude-code-templates/main/cli-tool/components/skills/ai-research/optimization-gguf/SKILL.md -o .claude/skills/optimization-gguf/SKILL.md
Notes
Extracted from davila7/claude-code-templates, optimization-gguf category.