A compact, experimentally interesting model that stands apart from the transformer crowd. Mamba uses a selective state space architecture instead of attention mechanisms, meaning it processes sequences differently under the hood — with memory usage that scales linearly rather than quadratically with context length. At 1.4B parameters, it's a research-oriented model more than a production workhorse.