Deep Principle releases 753B scientific model
MarkTechPost: Deep Principle Releases Hydrogen-1.0: A 753B Open-Weight Model for Scientific Discovery
Deep Principle has released Hydrogen-1.0, an open-weight scientific model for chemistry, materials science and life sciences. It is built by post-training Z.ai’s GLM-5.3 on domain data, laboratory records and agent discovery trajectories. For developers, it offers open weights that report a FrontierScience-Research win over GPT-6-Astra. The weights ship under the MIT License. TL;DR Size: 753B parameters (MoE, ~40B active per the GLM-5.3 base), 1M-token context, 128K max output.
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An open-weight scientific model with 753 billion parameters has been released for chemistry, materials science, and life sciences research. The model was created by post-training an existing base model on domain data, laboratory records, and discovery trajectories rather than just published papers. On a scientific reasoning benchmark, it outperforms a competing proprietary model, though it trails that model on a specific chemistry task. The model is available under an open license, allowing researchers to deploy and inspect it, addressing a gap where similar capabilities previously existed only in closed proprietary systems.
Explainer: GLM 5.2: How a 744B Open Model Is Closing the Gap With Claude Opus on Code
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