Deep Principle releases open-weight Hydrogen-1.0 science model on ModelScope
Overview
ModelScope announces Hydrogen-1.0, an open-weight scientific reasoning model from Deep Principle built on GLM-5.3, with a 1M-token context window for chemistry, materials science, and life sciences.
The model weights are released under the MIT license, and the supporting code and documentation under Apache 2.0.
ModelScope says that in the authors' evaluation Hydrogen-1.0 outperforms GPT-6 Astra on FrontierScience-Research and improves on GLM-5.3 on GPQA Diamond. These results come from the authors' own evaluation and have not been independently verified in the report.
Written by AI from the articles below · updated Nov 2, 3:03 AM ET
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ModelScope@ModelScope2022OfficialPickDeep Principle releases Hydrogen-1.0, an open-weight scientific reasoning model built on GLM-5.3AIModelScope announces Hydrogen-1.0, an open-weight model from Deep Principle built on GLM-5.3 with a 1M context window for chemistry, materials science, and life sciences. The post says it outperforms GPT-6 Astra on FrontierScience-Research in the authors' evaluation and improves over GLM-5.3 on GPQA Diamond. Its weights are released under MIT, and the supporting code and documentation under Apache 2.0.
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