Villanova-2B-2603 is a fully open, multilingual instruction-tuned Large Language Model developed by Villanova.AI. Part of the Villanova project, it is designed to advance open European language technology with 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-2603 model.

Villanova-2B-Base-2603 — Base model (4.4T)
 ↳ Villanova-2B-2603 — SFT / Instruct
  ↳ Villanova-2B-2603-GGUF — Quantized — 📍 This model
 ↳ Villanova-2B-VL-2603 — Vision-Language Instruct
  ↳ Villanova-2B-VL-2603-GGUF — Quantized

Villanova-2B-Base-2512-Preview — Base model (2.2T) (previous version, not recommended)
 ↳ Villanova-2B-2512-Preview — SFT / Instruct (previous version, not recommended)

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.

You can run this model directly using the llama-cli tool (part of llama.cpp).

To run the model with the Q8_0 quantization directly from Hugging Face: