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model-architecture-mamba

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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.

skills-imported/model-architecture-mamba/SKILL.md

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# Mamba - Selective State Space Models

## Quick start

Mamba is a state-space model architecture achieving O(n) linear complexity for sequence modeling.

**Installation**:
```bash
# Install causal-conv1d (optional, for efficiency)
pip install causal-conv1d>=1.4.0

# Install Mamba
pip install mamba-ssm
# Or both together