AnalysisAI ModelsOctober 14, 2026

Virtual Head Attention cuts KV cache for long-context LLMs

Read original source →arxiv.org

Paper proposes Virtual Head Attention, using lightweight linear query and output transformations to reduce KV cache and compute while preserving quality. Built on GQA with Q Premix and Linear Postmix components; 7 authors, 3 HF upvotes.

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