AIAhead of AIabout 1 month ago
LLM architectures target long-context efficiency
28 min read
New open-weight LLM releases focus on long-context efficiency. Key architecture tricks include KV sharing and per-layer embeddings in Gemma 4, layer-wise attention budgeting in Laguna XS.2, compressed convolutional attention in ZAYA1-8B, and mHC plus compressed attention in DeepSeek V4.
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