Armory
Source
Browse
Skills

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.

Score
Unranked
Evidence
No signals yet
Last commit
Not known
Listed

Install

armory install mamba-architecture --cli claude

writes the skill into.claude/skills/mamba-architecture/SKILL.mdListed as compatible

Configuration
# fetches the source and writes it to:
.claude/skills/mamba-architecture/SKILL.md

Needs the armory CLI · not on npm yet, build it from cli/ in the repository

What it is

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.

When to use it

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.

How to install / invoke

# Copy the skill into your .claude/skills/ directory
curl -sL https://raw.githubusercontent.com/davila7/claude-code-templates/main/cli-tool/components/skills/ai-research/model-architecture-mamba/SKILL.md -o .claude/skills/model-architecture-mamba/SKILL.md

Notes

Extracted from davila7/claude-code-templates, model-architecture-mamba category.