---
title: "GGUF - Quantization Format for llama.cpp - Air Market"
description: "You want to run a model but do not have a big GPU, or want it working on your own machine. This covers converting models to the GGUF format and quantizing with llama.cpp, so they run on consumer hard…"
canonical: "https://airmarket.ai/app/gguf-quantization"
---

[Air Market](/) / [Data & Analytics](/category/data) / GGUF - Quantization Format for llama.cpp

Skill by [Orchestra Research](/@orchestra-research)

# GGUF - Quantization Format for llama.cpp

Run models on the hardware you already own

## What this does

You want to run a model but do not have a big GPU, or want it working on your own machine. This covers converting models to the GGUF format and quantizing with llama.cpp, so they run on consumer hardware or Apple Silicon. You choose how much to compress, and a GPU is not required.

### Top 3 things it does for you

- Quantize a model to GGUF
- Get a model running on a laptop or Apple Silicon
- Pick how far to compress the weights

## Information

**GGUF - Quantization Format for llama.cpp at a glance**

|  |  |
| --- | --- |
| Kind | Skill |
| Publisher | [Orchestra Research](/@orchestra-research) |
| Category | [Data & Analytics](/category/data) |
| Works with | Agent Skills - an open standard supported by 40+ agents |
| Version | 1.0.0 |
| Size | 29 KB |
| Licence | MIT |
| Repository | [orchestra-research/ai-research-skills](https://github.com/orchestra-research/ai-research-skills/tree/28f2d29236f2bade2eb92cadb2585189589a5828/10-optimization/gguf) |
| GitHub stars | 11,987 (as of Nov 2026) |

## Security report

**Verified.** AIR scanned this exact version of GGUF - Quantization Format for llama.cpp and flagged nothing. AIR's verdict: **safe**.

**What GGUF - Quantization Format for llama.cpp's check was run against**

|  |  |
| --- | --- |
| Commit | 28f2d29236f2bade2eb92cadb2585189589a5828 |
| Content hash | 5495760fda94aedc4e4191bdc37ca4deeae2cc51bb7fdc4b8f8b163a409f01ae |
| Files read | [Browse the files at this exact commit](https://github.com/orchestra-research/ai-research-skills/blob/28f2d29236f2bade2eb92cadb2585189589a5828/10-optimization/gguf/SKILL.md) |

A scan is named by the exact content it read, not by a version number. A different version is a different artifact, and nothing here applies to a version AIR has not scanned.

[Read the full security report for GGUF - Quantization Format for llama.cpp](/security/gguf-quantization)

## About GGUF - Quantization Format for llama.cpp

Covers the GGUF format and quantization with llama.cpp for inference on CPU or GPU.

Use it when deploying models on consumer hardware or Apple Silicon, or when you want flexible quantization across a range of bit widths without a GPU requirement.

## What's inside

- SKILL.md - instructions
- references/advanced-usage.md - reference
- references/troubleshooting.md - reference

## Questions

### Is GGUF - Quantization Format for llama.cpp safe to install?

AIR scanned this exact version of GGUF - Quantization Format for llama.cpp and flagged nothing. AIR's verdict: safe. The verdict is named by the content that was read, at commit 28f2d29236f2, so it cannot drift onto a version nobody scanned. The full report is at https://airmarket.ai/security/gguf-quantization.

### How do I install GGUF - Quantization Format for llama.cpp?

Open https://airmarket.ai/app/gguf-quantization on Air Market and use the install action: Air Market hands Claude a prompt naming this exact skill, and Claude sets it up. Source, pinned to the exact commit this listing describes: https://github.com/orchestra-research/ai-research-skills/tree/28f2d29236f2bade2eb92cadb2585189589a5828/10-optimization/gguf. Install from that link, not the branch.

## Related on Air Market

- [More Data & Analytics listings](/category/data)
- [Everything by Orchestra Research](/@orchestra-research)

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Canonical URL: <https://airmarket.ai/app/gguf-quantization>