> ## Documentation Index
> Fetch the complete documentation index at: https://kalarislabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# gguf-quantization — AI agent skill for ml training

> GGUF format and llama.cpp quantization for efficient CPU/GPU inference.

# `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.

**Category:** [ml-training](/skills#ml-training) · **License:** MIT · **Version:** 1.0.0

## Install

```bash theme={null}
npx research-agent-skills install gguf-quantization
npx skills add KalarisLabs/research-agent-skills --skill gguf-quantization
```

## 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.

## Full playbook

Read [SKILL.md](https://github.com/KalarisLabs/research-agent-skills/blob/main/skills/gguf-quantization/SKILL.md) for the complete workflow, references and any scripts. The agent installer copies the full skill folder.