TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones

TinyGPT-V is an efficient multimodal large language model that utilizes small backbones. The model structure and training process are explained in detail, along with instructions on how to install and prepare the necessary files and checkpoints. The demo can be launched locally for different stages of the model. There is a note that Stage 4 is currently a test version and the demo should be run using Stage 3. The content also includes instructions for training the model and evaluating its performance. The article also includes acknowledgements and a license for the repository.

https://github.com/DLYuanGod/TinyGPT-V

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