MGM-7B

MGM-7B Model Card

<a href='https://github.com/dvlab-research/MGM'><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

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.

Normal resolution setting: MGM-2B, MGM-13B, MGM-8x7B, MGM-34B

High resolution setting: MGM-7B-HD, MGM-13B-HD, MGM-8x7B-HD, MGM-34B-HD

Model type: MGM is an open-source chatbot trained by fine-tuning LLaMA/Vicuna 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 Vicuna-7B-v1.5

Model date: MGM-7B 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/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 dataset, please to the Github for more detail.

Acknowledgement

This project is not affiliated with Google LLC.