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Recent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention [P]

Reddit r/MachineLearning · 5h ago Cached

Sebastian Raschka reviews recent innovations in LLM architectures focused on long-context efficiency, including KV sharing, compressed convolutional attention, and layer-wise attention budgeting from models like Gemma 4, ZAYA1, Laguna XS.2, and DeepSeek V4.

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