Gemma 3 12B is a large language model developed by Google, offering multiple quantized versions suitable for different hardware environments and performance requirements.
Model Features
Multiple Quantized Versions
It provides multiple quantized versions from Q2_K to Q8_0 to meet different hardware and performance requirements.
Local Deployment
The GGUF format supports local deployment without relying on cloud services.
High Performance
The optimized quantization technology ensures reduced resource consumption while maintaining model performance.
Model Capabilities
Text Generation
Dialogue System
Code Generation
Text Summarization
Use Cases
Natural Language Processing
Dialogue System
Used to build intelligent dialogue robots to provide a natural and smooth interaction experience.
Text Summarization
Automatically generate concise summaries of long texts to improve information acquisition efficiency.
Code Generation
Code Completion
Help developers quickly generate code snippets to improve programming efficiency.
🚀 google/gemma-3-12b-it - GGUF
This repository stores GGUF format model files for google/gemma-3-12b-it. It offers a solution for users to access and utilize this specific model in a compatible format.
🚀 Quick Start
Access Gemma on Hugging Face
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 the button below. Requests are processed immediately.
Model Information
Property
Details
Library Name
transformers
Pipeline Tag
image-text-to-text
Base Model
google/gemma-3-12b-it
Tags
TensorBlock, GGUF
License
gemma
✨ Features
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4882.
📦 Installation
Command line
Firstly, install Huggingface Client:
pip install -U "huggingface_hub[cli]"
Then, download the individual model file to a local directory: