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China's Deep Principle opens Hydrogen-1.0, a 753-billion-parameter scientific model under the MIT license

The Chinese company Deep Principle published on Hugging Face the weights of Hydrogen-1.0, a model for solving scientific problems and supporting research, derived from Z.ai's GLM-5.3. It has 753 billion parameters, a 1-million-token context, output of up to 128 thousand tokens and an MIT license. There are quantized versions in NVFP4, for NVIDIA B200 and B300, and in MXFP4, for AMD MI350X and MI355X, and the model was tested with SGLang on 8 GPUs. According to the company's own numbers cited by MarkTechPost, it scores 38.3% on FrontierScience-Research, versus 33.3% for GPT-6 Astra, and 93.0% on GPQA-Diamond. The data and the full training recipe were not published.