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Speeding up Transformer attention with Flash Attention v1.0.0

Use this resource to speed up Transformer attention and reduce its memory on long sequences

New

  • 416 downloads
  • 101 likes
  • 131 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install flash-attention-memory-speedup

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 enable Flash Attention in an existing PyTorch model, through native SDPA or the flash-attn library, then compare outputs and performance before and after. You get integration code and a benchmark protocol.

Mostly picked by

Updated November 2, 2026

Card for the “Speeding up Transformer attention with Flash Attention” skill

Details

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

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What you get

  • SKILL.md: enabling it in a PyTorch model, output comparison and benchmark
  • references/benchmarks.md and transformers-integration.md: measurements and Transformers integration

Good fit for

  • Your sequences exceed 512 tokens and GPU memory runs short
  • You want to speed up inference of an existing model

Not for

    Tags

    • attention
    • gpu memory
    • performance
    • transformers

    About

    You say

    “Enable Flash Attention in my Transformer model and compare the outputs before and after.”

    Card for the “Speeding up Transformer attention with Flash Attention” 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 speed up Transformer attention and reduce its memory on long sequences
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/benchmarks.md7.2 KB
    • references/transformers-integration.md7.5 KB
    • SKILL.md10.3 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/orchestra-research/ai-research-skills/tree/773a52944ba4747a18bd4ae9ade53fff041adcbc/10-optimization/flash-attention
    Licence
    MIT

    Notice

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

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