Before it
Open models came from large US labs under restrictive or custom licences.
The problem
Could a small model with good engineering beat a much larger one, under a fully permissive licence?
What it introduced
7B with grouped-query and sliding-window attention, beating Llama 2 13B on every benchmark, Apache 2.0.
Why it matters
It reset expectations about what a small model can do and made Apache-licensed weights competitive.
What modern models inherit
The efficient small open model as a serious deployment target.
What came next
Mixtral's open MoE, and a European frontier lab.