LLaMA2-Accessory is an open-source toolkit designed for the development of Large Language Models (LLMs) and multimodal LLMs. It offers support for a wide range of datasets and tasks, efficient optimization and deployment, and compatibility with various visual encoders and LLMs. The toolkit is a significant upgrade from its predecessor, LLaMA-Adapter, and is set to revolutionize the field of language model development.
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