---
tags:
- vision-language model
- llama
- generation
datasets:
- YanweiLi/Mini-Gemini-Instruction
---


# Mini-Gemini-7B-HD Model Card
<a href='https://github.com/dvlab-research/MiniGemini'><img src='https://img.shields.io/badge/Project-Code-violet'></a>
<a href='https://mini-gemini.github.io/'><img src='https://img.shields.io/badge/Project-Page-Green'></a> 
<a href='https://arxiv.org/pdf/2403.18814.pdf'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a>

## Model details
Mini-Gemini supports a series of dense and MoE Large Language Models (LLMs) from 2B to 34B with HD image understanding, reasoning, and generation simultaneously.

**Model type:**
Mini-Gemini is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data.

Mini-Gemini empowers existing frameworks to support HD image understanding, reasoning, and generation simultaneously.

**Model version:**
Mini-Gemini HD Version with LLM Vicuna-7B-v1.5

**Model date:**
Mini-Gemini-7B-HD was trained on 03/2024.

## License
Llama 2 is licensed under the LLAMA 2 Community License, 
Copyright (c) Meta Platforms, Inc. All Rights Reserved.

**Where to send questions or comments about the model:**
https://github.com/dvlab-research/MiniGemini/issues

## Intended use
**Primary intended uses:**
The primary use of Mini-Gemini is research on large multimodal models and chatbots.

**Primary intended users:**
The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.

## Training data
This model is trained based on [Mini-Gemini-Instruction](https://huggingface.co/datasets/YanweiLi/Mini-Gemini-Instruction) dataset, please to the [Github](https://github.com/dvlab-research/MiniGemini) for more detail.