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AI models & research

Flash Linear Attention

Fast, ready-to-use building blocks for new kinds of AI model architectures.

New this week

What it does

Flash Linear Attention is a library of efficient, ready-to-train building blocks for modern AI sequence models, including linear attention, sparse attention and state space models.

It provides hardware-efficient implementations that researchers can drop into their own models.

The implementations are meant to work across different hardware and are verified on common graphics cards.

Who it's for

AI researchers and engineers experimenting with new model architectures.

Can I use it without coding?

Developers only. It is a research code library used by writing code, and needs suitable hardware. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Runs on
Linux, Server
Computer
Works best on a powerful computer or one with a graphics card (GPU)
Privacy
Runs on your own device: your data stays with you
API key
Not needed

Try it

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (MIT): Very permissive: free to use, change and share, including for business.
  • More on staying safe