Deep Principle Releases Hydrogen-1.0: A 753B Open-Weight Model for Scientific Discovery

Deep Principle has released Hydrogen-1.0, an MIT-licensed 753B-parameter open-weight model built by post-training Z.ai's GLM-5.3 on chemistry, materials science and life sciences data, laboratory records and agent discovery trajectories, with a 1M-token context and 128K max output. Deep Principle reports it scores 38.3% on FrontierScience-Research versus 33.3% for GPT-6-Astra and 93.0% on GPQA-Diamond, while trailing GPT-6-Astra by 3.33 points on NMR structure elucidation. Weights are on Hugging Face and ModelScope, with BF16 serving tested via SGLang on 8 GPUs, NVFP4 builds for NVIDIA B200/B300 and MXFP4 for AMD MI350X/MI355X, though full datasets and recipes are not released.