---
tags:
- vision-language model
- gemma
- generation
datasets:
- YanweiLi/MGM-Instruction
---
# MGM-2B Model Card
## Model details
The framework supports a series of dense and MoE Large Language Models (LLMs) from 2B to 34B with HD image understanding, reasoning, and generation simultaneously.
You can also try our other MGM series models:
Normal resolution setting: [MGM-7B](https://huggingface.co/YanweiLi/MGM-7B), [MGM-13B](https://huggingface.co/YanweiLi/MGM-13B), [MGM-8x7B](https://huggingface.co/YanweiLi/MGM-8x7B), [MGM-34B](https://huggingface.co/YanweiLi/MGM-34B)
High resolution setting: [MGM-7B-HD](https://huggingface.co/YanweiLi/MGM-7B-HD), [MGM-13B](https://huggingface.co/YanweiLi/MGM-13B-HD), [MGM-8x7B-HD](https://huggingface.co/YanweiLi/MGM-8x7B-HD), [MGM-34B-HD](https://huggingface.co/YanweiLi/MGM-34B-HD)
**Model type:**
MGM is an open-source chatbot trained by fine-tuning Gemma on GPT-generated multimodal instruction-following data.
It empowers existing frameworks to support HD image understanding, reasoning, and generation simultaneously.
**Model version:**
MGM with LLM Gemma-2B-it
**Model date:**
MGM-2B was trained on 03/2024.
## License
Gemma is licensed under the Gemma Terms of Use License,
**Where to send questions or comments about the model:**
https://github.com/dvlab-research/MGM/issues
## Intended use
**Primary intended uses:**
The primary use 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 [MGM-Instruction](https://huggingface.co/datasets/YanweiLi/MGM-Instruction) dataset, please to the [Github](https://github.com/dvlab-research/MGM) for more detail.
## Acknowledgement
This project is not affiliated with Google LLC.