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Using the Mamba state-space architecture v1.0.0

Use this resource to build or use a linear-complexity state-space model

New

  • 595 downloads
  • 182 likes
  • 216 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install mamba-state-space-architecture

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent helps you install mamba-ssm, configure a Mamba-2 language model, then generate text or load a pretrained model. It explains the complexity differences from Transformers. Requirements: Linux and an NVIDIA GPU.

Mostly picked by

Updated November 2, 2026

Card for the “Using the Mamba state-space architecture” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: installation, Mamba-2 configuration and generation
  • references/architecture-details.md, benchmarks.md and training-guide.md: architecture, benchmarks and training

Good fit for

  • You want to process very long sequences at linear cost
  • You compare Mamba with a Transformer on your task

Not for

    Tags

    • architecture
    • state space
    • long sequences
    • llm

    About

    You say

    “Configure a small Mamba-2 language model and generate text from a prompt.”

    Card for the “Using the Mamba state-space architecture” skill

    Skill published by Orchestra Research under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to build or use a linear-complexity state-space model
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/architecture-details.md5.5 KB
    • references/benchmarks.md8.2 KB
    • references/training-guide.md9.2 KB
    • SKILL.md7.4 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/orchestra-research/ai-research-skills/tree/773a52944ba4747a18bd4ae9ade53fff041adcbc/01-model-architecture/mamba
    Licence
    MIT

    Notice

    « mamba-architecture » (Orchestra Research, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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