---
inference: false
license: llama2
pipeline_tag: image-to-text
---


# DenseConnector-with-mgm-7B Model Card

## Model details

**Model type:**
DenseConnector is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data.
It is an auto-regressive language model, based on the transformer architecture.

**Model info:**
DenseConnector-with-mgm-7B was trained in 05/2024.

**Paper or resources for more information:**
https://github.com/HJYao00/DenseConnector

**Paper on Hugging Face:** 
[arxiv.org/abs/2405.13800](https://arxiv.org/abs/2405.13800)

**Training dataset:**
This model is trained on [MGM](https://github.com/dvlab-research/MGM/tree/main) dataset.

**Large Language Model:**
Vicuna-7B

**How to inference:**
This model was trained based on the MGM codebase. Please replace mgm_arch.py in MGM to test our model.


## 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/HJYao00/DenseConnector/issues

## Intended use
**Primary intended uses:**
The primary use of DenseConnector 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.