Deep Principle
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- Deep Principle releases Hydrogen-1.0 for scientific research
Deep Principle released Hydrogen-1.0, an open-weight model post-trained from GLM-5.3 for chemistry, materials science, and life sciences. The team trained it with supervised fine-tuning and reinforcement learning using domain data, scientist feedback, lab records, and discovery trajectories, and published weights, a model card, evaluations, and workflow examples. In vendor-reported evaluations, Hydrogen-1.0 achieved a 38.3% pass rate on FrontierScience Research versus 33.3% for GPT-6 Astra at max thinking, with estimated output-side cost of $0.25 versus $0.88 per problem. It scored 92.9% on GPQA Diamond, slightly below Kimi K3's 93.5%.
r/MachineLearning · 🔥 0
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