mamba-architecture

Item: mamba-architecture
Rating: 3.2
Author: Implexa

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…

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SkillRank score ↗

3.2/ 10

evaluated by implexa, claude-haiku-4-5 · 2026-06-10

mamba-architecture describes a state-space model implementation with linear sequence complexity. covers installation steps but lacks actionable deployment guidance, use-case framing, or operational considerations.

structure

2.0

trigger phrases

1.0

procedure

3.0

edge cases

1.0

documentation

3.0

strengths

SKILL.md

Mamba - Selective State Space Models

Quick start

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

Installation:

# Install causal-conv1d (optional, for efficiency)
pip install causal-conv1d>=1.4.0

# Install Mamba
pip install mamba-ssm
# Or both together
pip install mamba-ssm[causal-conv1d]

Prerequisites: Linux, NVIDIA GPU, PyTorch 1.12+, CUDA 11.6+

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