---
license: apache-2.0
pipeline_tag: visual-question-answering
---

# Building Your Own Multimodal Large Model from Scratch

For the Chinese version of the README, please refer to [中文文档](README_zh.md).

## Model Architecture 🤖

In the VLM (Visual Language Model), the visual component utilizes the `CLIP` or `SIGLIP` models, which have already achieved preliminary semantic alignment. A two-layer MLP is used for feature mapping. By overriding the `forward` method of the `QWenModel`, the corresponding `image` tokens are replaced with visual features.

## GitHub Repository 🏠

The code for running the model can be found at [Basic-Visual-Language-Model](https://github.com/xinyanghuang7/Basic-Visual-Language-Model/tree/main).

## References 📚

Special thanks to the following projects for their great work 🙌:

- https://github.com/WatchTower-Liu/VLM-learning/tree/main
- https://github.com/QwenLM/Qwen
- https://github.com/haotian-liu/LLaVA

## Contact ✉

If you have any questions or ideas, feel free to reach out to me 😊:

hsinyanghuang7@gmail.com

I will respond as soon as I see your email!