Instructions to use VillanovaAI/Villanova-2B-2512-Preview-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use VillanovaAI/Villanova-2B-2512-Preview-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="VillanovaAI/Villanova-2B-2512-Preview-GGUF",
	filename="Villanova-2B-2512-Preview-F16.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use VillanovaAI/Villanova-2B-2512-Preview-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf VillanovaAI/Villanova-2B-2512-Preview-GGUF:F16
# Run inference directly in the terminal:
llama-cli -hf VillanovaAI/Villanova-2B-2512-Preview-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf VillanovaAI/Villanova-2B-2512-Preview-GGUF:F16
# Run inference directly in the terminal:
llama-cli -hf VillanovaAI/Villanova-2B-2512-Preview-GGUF:F16

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf VillanovaAI/Villanova-2B-2512-Preview-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf VillanovaAI/Villanova-2B-2512-Preview-GGUF:F16

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf VillanovaAI/Villanova-2B-2512-Preview-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf VillanovaAI/Villanova-2B-2512-Preview-GGUF:F16

Use Docker

docker model run hf.co/VillanovaAI/Villanova-2B-2512-Preview-GGUF:F16

LM Studio
Jan

vLLM

How to use VillanovaAI/Villanova-2B-2512-Preview-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "VillanovaAI/Villanova-2B-2512-Preview-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "VillanovaAI/Villanova-2B-2512-Preview-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/VillanovaAI/Villanova-2B-2512-Preview-GGUF:F16

Ollama
How to use VillanovaAI/Villanova-2B-2512-Preview-GGUF with Ollama:
```
ollama run hf.co/VillanovaAI/Villanova-2B-2512-Preview-GGUF:F16
```

Unsloth Studio new

How to use VillanovaAI/Villanova-2B-2512-Preview-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for VillanovaAI/Villanova-2B-2512-Preview-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for VillanovaAI/Villanova-2B-2512-Preview-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for VillanovaAI/Villanova-2B-2512-Preview-GGUF to start chatting

Docker Model Runner
How to use VillanovaAI/Villanova-2B-2512-Preview-GGUF with Docker Model Runner:
```
docker model run hf.co/VillanovaAI/Villanova-2B-2512-Preview-GGUF:F16
```

Lemonade

How to use VillanovaAI/Villanova-2B-2512-Preview-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull VillanovaAI/Villanova-2B-2512-Preview-GGUF:F16

Run and chat with the model

lemonade run user.Villanova-2B-2512-Preview-GGUF-F16

List all available models

lemonade list

Model Card for Villanova-2B-2512-Preview

Villanova is a family of multilingual and multimodal Large Language Models (LLMs).

This repo contains GGUF format model files for the VillanovaAI/Villanova-2B-2512-Preview model.

See all the models in the collection here.

DISCLAIMER: This model is a preview.

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).

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

llama-cli -hf VillanovaAI/Villanova-2B-2512-Preview-GGUF:Q8_0

Downloads last month: 8

GGUF

Model size

3B params

Architecture

llama

Hardware compatibility

8-bit

16-bit

Model tree for VillanovaAI/Villanova-2B-2512-Preview-GGUF

Base model

VillanovaAI/Villanova-2B-Base-2512-Preview

Finetuned

VillanovaAI/Villanova-2B-2512-Preview

Quantized

(2)

this model

Collection including VillanovaAI/Villanova-2B-2512-Preview-GGUF

Villanova 2512 Preview

Collection

Collection of all the Villanova 2512 Preview family of LLMs • 4 items • Updated 24 days ago • 2