Mamba Architecture

State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design. Mamba-1 (d_state=16) and Mamba-2 (d_state=128, multi-head). Models 130M-2.8B on HuggingFace.

Originally published by orchestra. Licensed under MIT. View original: https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/01-model-architecture/mamba

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