A Visual Guide to Attention Variants in Modern LLMs

Ahead of AI · 3 months ago

Sebastian Raschka created an LLM architecture gallery with 45 entries documenting attention variants used in modern large language models, including multi-head attention, grouped-query attention, and other mechanisms. The gallery includes visual model cards and a poster version available through Redbubble, with the Medium size measuring 26.9 x 23.4 inches. The resource serves as both a reference and learning tool for understanding how different attention mechanisms work in contemporary open-weight architectures like Llama, Qwen, and Gemma.