Gemma 3.4B IT Open-Source Large Language Model - Free to Use for Diverse Text Interaction and Content Output

Gemma 3 4b It Q4 K M GGUF

Developed by DravenBlack

Gemma 3.4B IT is an open-source large language model developed by Google. This version is the 4-bit quantized version converted to GGUF format via llama.cpp.

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

Downloads 186

Release Time : 3/14/2025

Model Overview

A quantized version based on Google's original Gemma 3.4B instruction-tuned model, suitable for local deployment and inference tasks.

Model Features

Efficient Quantization

Utilizes Q4_K_M quantization technology, significantly reducing memory usage while maintaining model performance.

Local Deployment

GGUF format supports local operation on various hardware via llama.cpp.

Instruction Tuning

Instruction-tuned to better understand and execute user commands.

Model Capabilities

Text Generation

Dialogue Systems

Content Creation

Question Answering Systems

Use Cases

Content Generation

Creative Writing

Generate creative text content such as stories and poems.

Technical Documentation

Automatically generate or improve technical documentation.

Intelligent Assistant

Chatbot

Build locally-run conversational AI assistants.

🚀 PolymerX/gemma-3-4b-it-Q4_K_M-GGUF

This model is converted to GGUF format from google/gemma-3-4b-it, offering a convenient way for users to leverage its capabilities.

🚀 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.

📦 Installation

Install llama.cpp

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

brew install llama.cpp

💻 Usage Examples

Use with llama.cpp

CLI

llama-cli --hf-repo PolymerX/gemma-3-4b-it-Q4_K_M-GGUF --hf-file gemma-3-4b-it-q4_k_m.gguf -p "The meaning to life and the universe is"

Server

llama-server --hf-repo PolymerX/gemma-3-4b-it-Q4_K_M-GGUF --hf-file gemma-3-4b-it-q4_k_m.gguf -c 2048

Alternative Usage Steps

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

Step 1: Clone llama.cpp from GitHub

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

Step 2: Build llama.cpp

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

./llama-cli --hf-repo PolymerX/gemma-3-4b-it-Q4_K_M-GGUF --hf-file gemma-3-4b-it-q4_k_m.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo PolymerX/gemma-3-4b-it-Q4_K_M-GGUF --hf-file gemma-3-4b-it-q4_k_m.gguf -c 2048

📄 License

This model is under the gemma license.

📋 Model Information

Property	Details
Base Model	google/gemma-3-4b-it
Library Name	transformers
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.

💡 Usage Tip

The button content for acknowledging the license is "Acknowledge license".

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