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Deep Principle releases Hydrogen-1.0 open-weight scientific model

Original title: Deep Principle Releases Hydrogen-1.0: A 753B Open-Weight Model for Scientific Discovery

MarkTechPostby Asif Razzaq ()7 min read1 · 1 read
AI summary · x-ai/grok-4.7Summaries by Vani AI

Deep Principle releases 753B-parameter open-weight model Hydrogen-1.0 for chemistry materials and life sciences.

Deep Principle released Hydrogen-1.0 an open-weight scientific model built by post-training Z.ai’s GLM-5.3 on domain data laboratory records and agent discovery trajectories. The model targets question framing experiment planning results analysis and open-ended discovery in chemistry materials science and life sciences. Weights ship under the MIT License and run on 8 GPUs with SGLang. It reports a FrontierScience-Research win over GPT-6-Astra and roughly matches Kimi-K3 on GPQA-Diamond with 38.3% on FrontierScience-Research and 93.0% on GPQA-Diamond.

Key facts
  • 753B parameters MoE 40B active
  • 1M-token context
  • MIT License open weights
  • Beats GPT-6-Astra on FrontierScience-Research
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From the original article

7 min read at marktechpost.com

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.

MarkTechPost

By Asif Razzaq · marktechpost.com

Read the full article at MarkTechPost

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.