LLMs Explained: Mistral 7B

Ching (Chingis)
4 min readJan 19, 2024

Mistral, or Mistral AI specifically, surprised all of us with an amazing solution in 2023, showing that 34B parameter models can be outperformed with shocking 7B parameter LLMs🤯

Mistral 7B outperforms the previous Llama 2 13B across all tested tasks. Additionally, Mistral 7B outperforms LLaMa 34B in mathematics and code generation while being 5x smaller. Mistral 7B is a small and extremely fast LLM that can perform on par with SOTA.

The key 🔑? It adopts Llama 2 but introduces Sliding Window Attention and Rolling Buffer Cache to speed up computations and reduce the cache memory usage while preserving the high model quality.

Mistral 7B takes a significant step in balancing the goals of getting high performance while keeping large language models efficient.

Architecture

First, I need to mention that Mistral 7B is based on Llama 2 implementation, please check out my last blog to introduce yourself to the architecture of Llama 2

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Ching (Chingis)
Ching (Chingis)

Written by Ching (Chingis)

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