Mistral Architecture › Mistral Architecture

When Mistral AI released their 7B parameter model in September 2023, it achieved something remarkable: matching or exceeding the performance of LLaMA 2 13B on most benchmarks while using nearly half the parameters. This wasn't magic. It was the result of carefully chosen architectural innovations that improve efficiency without sacrificing capability. The most significant of these is sliding window attention, a technique that limits the computational burden of attention while preserving the model's ability to reason over long contexts.

This chapter dissects the Mistral architecture, examining how it builds on the LLaMA foundation while introducing key modifications that boost efficiency. We'll implement sliding window attention from scratch, visualize how it differs from full attention, and understand why Mistral's design choices have made it one of the most influential open-weight models in the field.