Deep Principle 发布开源权重模型 Hydrogen-1.0，基于 GLM-5.3 构建、支持 1M 上下文，面向化学、材料科学与生命科学。作者评测中其在 FrontierScience-Research 上优于 GPT-6 Astra，并在 GPQA Diamond 上较 GLM-5.3 提升。
Scientific reasoning shaped by laboratory experience. Hydrogen-1.0 is an open-weight model from Deep Principle, built on GLM-5.3 with 1M context for chemistry, materials science, and life sciences. 🤖 https://modelscope.cn/models/deep-principle/Hydrogen-1.0
🏆 Stronger scientific reasoning: Outperforms GPT-6 Astra on FrontierScience-Research in the authors' evaluation, while improving over GLM-5.3 on GPQA Diamond.
🔬 Learn from scientific work: Combines SFT and RL using domain knowledge, laboratory records, and complete discovery trajectories, including failed attempts and revised hypotheses.
🧬 Explore promising materials: After five search rounds, the mean best-so-far HOMO–LUMO gap reaches 4.318 eV, versus 3.689 for GPT-6 Astra and 3.353 for Kimi-K3 in the transition-metal-complex evaluation.
🛠️ Research with tools: Demonstrations span simulation debugging, reaction-network exploration, NMR analysis, and experimental protocol planning.
📜 Weights: MIT. Independently authored supporting code and documentation: Apache 2.0.
来源：ModelScope · x.com