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TinyGPT-V is an efficient multi-modal large-scale language model implemented by using a small backbone network. It has powerful language understanding and generation capabilities and is suitable for various natural language processing tasks. TinyGPT-V uses Phi-2 as a pre-trained model, which has excellent performance and efficiency.
Llama 2 is our next generation of open source large-scale language models, free for research and commercial use. It is robust in functionality and performance, with security and performance continuously improved through testing with external partners and internal teams. Llama 2 supports a wide range of use cases, making it ideal for solving difficult problems and driving innovation.
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