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LLaVA-MORE enhances the well-known LLaVA architecture by integrating the use of LLaMA 3.1 as the language model. We are publicly releasing the checkpoints for stages one and two for the first model with 8B parameters.python -u llava/eval/run_llava.py1@misc{cocchi2024llavamore,
2title={{LLaVA-MORE: Enhancing Visual Instruction Tuning with LLaMA 3.1}},
3author={Cocchi, Federico and Moratelli, Nicholas and Caffagni, Davide and Sarto, Sara and Cornia, Marcella and Baraldi, Lorenzo and Cucchiara, Rita},
4url={https://github.com/aimagelab/LLaVA-MORE},
5year={2024}
6}