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Small parameters, strong performance! Open source multimodal model - TinyGPT-V
Researchers from Anhui University of Technology, Nanyang Technological University, and Lehigh University have open-sourced a large multimodal model, TinyGPT-V. TinyGPT-V uses Microsoft's open-source Phi-2 as the basic large language model, and uses the visual model EVA to achieve multimodal capabilities. Although TinyGPT-V has only 2.8 billion parameters, its performance is comparable to models with tens of billions of parameters. In addition, TinyGPT-V training only requires a 24G GPU, and does not require high-end graphics cards such as A100 and H100 for training. Therefore, it is very suitable for small and medium-sized enterprises and individuals...- 1.7k
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