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residual streams

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Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jul 27, 2026 · Artificial Intelligence

Scaling Residual Streams Efficiently: From DeepSeek mHC to xHC’s 16‑Stream Expansion

The blog details how xHC expands language‑model residual streams to 16, achieving nearly double the gain of DeepSeek mHC on 18B and 28B MoE models, and explains the design of Temporal Feature Augmentation and Sparse Write that make large‑N scaling both effective and affordable.

hyper-connectionslarge language modelsmixture of experts
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Scaling Residual Streams Efficiently: From DeepSeek mHC to xHC’s 16‑Stream Expansion