---
language:
- en
- it
- es
- fr
- de
license: apache-2.0
library_name: transformers
pipeline_tag: image-text-to-text
tags:
- llava
- vision-language
- multimodal
- multilingual
- instruct
- villanova
base_model:
- VillanovaAI/Villanova-2B-Base-2603
---
# Model Card for Villanova-2B-VL-2603-GGUF
**Villanova-2B-VL-2603** is a fully open, multilingual Vision-Language Model developed by [Villanova.AI](https://huggingface.co/VillanovaAI). Part of the Villanova project, it extends our text-only [Villanova-2B-2603](https://huggingface.co/VillanovaAI/Villanova-2B-2603) to visual understanding while preserving native support for five European languages. All model weights, training data sources, and training details are publicly released.
This repo contains GGUF format model files for the [VillanovaAI/Villanova-2B-VL-2603](https://huggingface.co/VillanovaAI/Villanova-2B-VL-2603) model.
---
## Model Family
**[Villanova-2B-Base-2603](https://huggingface.co/VillanovaAI/Villanova-2B-Base-2603)** — Base model (4.4T)
↳ **[Villanova-2B-2603](https://huggingface.co/VillanovaAI/Villanova-2B-2603)** — SFT / Instruct
↳ [Villanova-2B-2603-GGUF](https://huggingface.co/VillanovaAI/Villanova-2B-2603-GGUF) — Quantized
↳ **[Villanova-2B-VL-2603](https://huggingface.co/VillanovaAI/Villanova-2B-VL-2603)** — Vision-Language Instruct
↳ [Villanova-2B-VL-2603-GGUF](https://huggingface.co/VillanovaAI/Villanova-2B-VL-2603-GGUF) — Quantized — 📍 *This model*
**[Villanova-2B-Base-2512-Preview](https://huggingface.co/VillanovaAI/Villanova-2B-Base-2512-Preview)** — Base model (2.2T) (previous version, not recommended)
↳ **[Villanova-2B-2512-Preview](https://huggingface.co/VillanovaAI/Villanova-2B-2512-Preview)** — SFT / Instruct (previous version, not recommended)
---
## About GGUF
**GGUF** is a format introduced by llama.cpp.
It is a file format for storing and distributing LLMs that is designed for portability and efficient **inference on the edge**.
## Quick Usage with llama.cpp
You can run this model directly using the `llama-cli` tool (part of [llama.cpp](https://github.com/ggerganov/llama.cpp)).
To run the model with the **Q8_0** quantization directly from Hugging Face:
```bash
llama-cli -hf VillanovaAI/Villanova-2B-VL-2603-GGUF:Q8_0
```