Gemma-3-4B-IT-GGUF Open Source Model - Free for Local Deployment and Inference Applications

Gemma 3 4b It GGUF

Developed by ysn-rfd

This model is converted from google/gemma-3-4b-it to GGUF format via llama.cpp, suitable for local deployment and inference.

Large Language Model #Lightweight Inference #Multi-turn Dialogue Optimization #Local Deployment

Downloads 62

Release Time : 3/26/2025

Model Overview

Gemma-3-4b-it-GGUF is a quantized version based on the Google Gemma model, primarily used for text generation tasks, supporting Chinese and multiple other languages.

Model Features

Local Deployment

Supports local deployment via GGUF format without relying on cloud services.

Efficient Inference

The quantized model reduces hardware requirements while maintaining performance.

Multilingual Support

Supports text generation in multiple languages, including Chinese.

Model Capabilities

Text Generation

Dialogue Systems

Content Creation

Use Cases

Content Generation

Article Writing

Generate high-quality articles or blog content.

Produces fluent and coherent text content.

Dialogue Systems

Build intelligent chatbots.

Achieves natural and smooth conversational interactions.

Education

Learning Assistance

Help students generate study materials or answer questions.

Provides accurate learning support content.

🚀 ysn-rfd/gemma-3-4b-it-GGUF

This model is converted to GGUF format from the original google/gemma-3-4b-it, offering a new way for users to utilize this powerful model.

🚀 Quick Start

This model was converted to GGUF format from google/gemma-3-4b-it using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

✨ Features

Model Source: Converted from google/gemma-3-4b-it.
Format: GGUF format, which can be used with llama.cpp.
Tags: Associated with llama-cpp and gguf-my-repo.

Property	Details
Base Model	google/gemma-3-4b-it
Library Name	transformers
License	gemma
Pipeline Tag	image-text-to-text
Tags	llama-cpp, gguf-my-repo

⚠️ Important Note

To access Gemma on Hugging Face, you’re required to review and agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging Face and click below. Requests are processed immediately.

📦 Installation

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

💻 Usage Examples

Basic Usage

You can use the model through the llama.cpp CLI or server.

CLI:

llama-cli --hf-repo ysn-rfd/gemma-3-4b-it-GGUF --hf-file gemma-3-4b-it-q4_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo ysn-rfd/gemma-3-4b-it-GGUF --hf-file gemma-3-4b-it-q4_0.gguf -c 2048

Advanced Usage

You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo ysn-rfd/gemma-3-4b-it-GGUF --hf-file gemma-3-4b-it-q4_0.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo ysn-rfd/gemma-3-4b-it-GGUF --hf-file gemma-3-4b-it-q4_0.gguf -c 2048

📄 License

The model is under the gemma license.

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