LibreAI / LLM locaux / shimmy
// local-llm · Michael-A-Kuykendall/shimmy

shimmy

shimmy est un projet de LLM locaux open source, créé par Michael-A-Kuykendall (Michael-A-Kuykendall/shimmy sur GitHub). Il compte 5 914 étoiles sur GitHub et 575 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 30 août 2026.

⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.

★ 5,9 k étoiles⑂ 575 forksApache-2.0mis à jour août 2026
▦ visuel — le README de ce projet ne contient aucune capture intégrable,
voici donc un emplacement réservé. Le guide ci-dessous est complet malgré tout.
// détails du projet

Détails du projet

Étoiles GitHub
5 914
Forks
575
Licence
Apache-2.0
Dernière mise à jour sur GitHub
30 août 2026
Catégorie
LLM locaux
Type de fiche
Guide d'installation complet
Site officiel
GitHub repo
// fonctionnement

Comment ça marche

  1. Install the runtime

    One binary or app gets you a working local model setup.

  2. Download a model

    Pick a size that fits your RAM/VRAM; smaller models run on laptops.

  3. Chat or integrate

    Use the built-in UI, or point OpenAI-compatible clients at it.

  4. Go private

    Airplane mode works — your prompts never leave the device.

// fonctionnalités

Pourquoi on l'adore

Offline capable

Works on planes, in basements, behind firewalls.

Model choice

Swap between hundreds of open models freely.

OpenAI-compatible APIs

Existing tools plug in by changing one URL.

Document chat

Ask questions over your PDFs, notes, and codebases.

No subscriptions

Pay nothing per token, ever.

100% private

Prompts and documents stay on your hardware, always.

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// lancez-le

Lancez-le vous-même

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/Michael-A-Kuykendall/shimmy.git
    cd shimmy
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// cas d'usage

Ce que vous pouvez créer

  • Chat privately with your documents.
  • Draft and edit without cloud AI.
  • Run AI on air-gapped machines.
  • Prototype AI features for free.
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// faq

Questions fréquentes

Who maintains shimmy?

It is an open-source project at Michael-A-Kuykendall/shimmy with 575 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is shimmy free for commercial use?

Apache 2.0 licensed — commercial use allowed with attribution.

Which model should I start with?

A recent 8–32B instruct model is the sweet spot for most machines.

Is it really private?

Yes — with no network calls, there's nothing to leak.

Are local models as good as GPT-4?

Close on many tasks now; frontier cloud models still lead on hard reasoning.

// continuez l'exploration

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// alternatives

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Obtenir shimmy

Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.