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[](https://github.com/mbzuai-oryx/LLaVA-pp) |
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# LLaMA-3-V: Extending the Visual Capabilities of LLaVA with Meta-Llama-3-8B-Instruct |
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## Repository Overview |
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This repository features LLaVA v1.5 trained with the Meta-Llama-3-8B-Instruct LLM. This integration aims to leverage the strengths of both models to offer advanced vision-language understanding. |
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## Training Strategy |
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- **Pretraining:** Only Vision-to-Language projector is trained. The rest of the model is frozen. |
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- **Fine-tuning:** LLM is LoRA fine-tuned. Only the vision-backbone (CLIP) is kept frozen. |
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- **Note:** The repository contains projector and LoRA weights. |
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## Key Components |
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- **Base Large Language Model (LLM):** [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) |
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- **Base Large Multimodal Model (LMM):** [LLaVA-v1.5](https://github.com/haotian-liu/LLaVA) |
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## Training Data |
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- **Pretraining Dataset:** [LCS-558K](https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain) |
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- **Fine-tuning Dataset:** [LLaVA-Instruct-665K](https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K/blob/main/llava_v1_5_mix665k.json) |
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## Download It As |
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``` |
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git lfs install |
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git clone https://huggingface.co/MBZUAI/LLaVA-Meta-Llama-3-8B-Instruct-lora |
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``` |
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## Contributions |
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Contributions are welcome! Please 🌟 our repository [LLaVA++](https://github.com/mbzuai-oryx/LLaVA-pp) if you find this model useful. |
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