Deep Principle releases Hydrogen-1.0, a GLM-5.3 post-train for science with gated MIT-licensed weights and 1M context. It reports 38.3% on FrontierScience-Research versus GPT-6 Astra’s 33.3%; these are developer evaluations.

Deep Principle’s original illustrative Hydrogen-1.0 supervised fine-tuning infrastructure diagram, showing packed sequences, distributed training, CUDA/ROCm optimizer placement and streaming checkpoints; not measured performance evidence.

Published 3 Nov 2026 · 16:28 UTC

Deep Principle — release and linked model card ↗ · Source dated 2 Nov 2026

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