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Phi-3-V: Extending the Visual Capabilities of LLaVA with Phi-3

Repository Overview

This repository features LLaVA v1.5 trained with the Phi-3-mini-3.8B LLM. This integration aims to leverage the strengths of both models to offer advanced vision-language understanding.

Training Strategy

  • Pretraining: Only Vision-to-Language projector is trained. The rest of the model is frozen.
  • Fine-tuning: LLM is LoRA fine-tuned. Only the vision-backbone (CLIP) is kept frozen.
  • Note: The repository contains merged weights.

Key Components

Training Data

Download It As

git lfs install
git clone https://huggingface.co/MBZUAI/LLaVA-Phi-3-mini-4k-instruct

License

This project is available under the MIT License.

Contributions

Contributions are welcome! Please 🌟 our repository LLaVA++ if you find this model useful.


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