Deep Principle Releases Hydrogen-1.0: A 753B Open-Weight Model for Scientific Discovery
Summary
- Deep Principle released Hydrogen-1.0, a 753B open-weight scientific model built by post-training Z.ai's GLM-5.3 under the MIT License.
- The model targets chemistry, materials science, and life sciences, supporting a 1M-token context window and 128K max output.
- Training combined supervised fine-tuning and reinforcement learning using domain knowledge, lab records, and discovery trajectories.
- It reports a score of 38.3% on FrontierScience-Research, outperforming self-reported numbers for GPT-6-Astra.
- Deployment options include SGLang across 8 GPUs with NVFP4 and MXFP4 optimizations for NVIDIA and AMD hardware.
Why it matters
Hydrogen-1.0 provides the AI and scientific research communities with an open, reproducible alternative for automated experiment planning, complex simulation management, and materials discovery.