Intern-S2-Mobius Decouples Knowledge and Reasoning for 4x Speed
jiqizhixin · x · 2026-08-16
Shanghai AI Lab presents Intern-S2-Mobius, a new architecture that decouples knowledge storage from logical reasoning to boost efficiency.
Key Outcomes:
- Data Efficiency: The 7B model matches standard Transformer performance using only 62.6% of the training data.
- Inference Speed: A larger Qwen2.5-based version delivers nearly 4x faster inference while maintaining performance parity.
- Architecture: Separates a shared "Memory" module for facts from distinct "Reasoners" for logic, enabling seamless information exchange.
Related event: Intern-S2-Mobius Decouples Knowledge and Reasoning for Greater Efficiency(3 posts)→
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