Mamba Architecture

This template helps you implement Mamba, the selective state space model architecture that processes sequences in linear time instead of the quadratic complexity you get with transformers. It's built for Linux with NVIDIA GPUs and includes setup instructions for both mamba-ssm and the optional causal-conv1d package for better performance. If you're working on long sequence tasks where transformer attention becomes a bottleneck, or you're just curious about state space models as a transformer alternative, this gives you a starting point. The repository has solid traction with nearly 28K stars, though the skill itself is light on implementation details beyond installation steps.