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Apply for community grant: Academic project (gpu and storage)
Hi HF team and community,
We are developing ShizhenGPT (https://arxiv.org/abs/2508.14706), the first multimodal large language model for Traditional Chinese Medicine (TCM). Unlike conventional LLMs, ShizhenGPT can process text, images, audio, and physiological signals, enabling holistic reasoning across modalities such as vision, sound, smell, and pulse.
Our goal is to make this model fully open-source and provide the community with a direct hands-on experience โ not just the datasets and weights, but also an interactive demo so everyone can try multimodal TCM AI firsthand.
To achieve this, we need GPU resources for hosting the demo. With your support, we can make ShizhenGPT openly accessible and inspire further exploration in multimodal healthcare AI.
Thanks for considering our request!
Hi
@wangrongsheng
, we've assigned ZeroGPU to this Space. Please check the compatibility and usage sections of this page so your Space can run on ZeroGPU.
If you can, we ask that you upgrade to Enterprise to enjoy higher ZeroGPU quota and other features like Dev Mode, Private Storage, and more: hf.co/enterprise