Sebastian Raschka • 3/22/2026

A Visual Guide to Attention Variants in Modern LLMs

This article by Sebastian Raschka provides a comprehensive visual guide to attention mechanisms used in modern large language models (LLMs). It covers multi-head attention (MHA), grouped-query attention (GQA), multi-query attention (MLA), sparse attention, and hybrid architectures. The article includes an LLM architecture gallery with 45 entries, visual model cards, and historical context. It serves as a reference and learning resource for understanding key attention variants in prominent open-weight LLMs.

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#Grouped Query Attention #LLM Architectures #Sparse Attention