LibreAI / LLM locaux / OLMo-core
// local-llm · allenai/Olmo-core

OLMo-core

OLMo-core est un projet de LLM locaux open source, créé par allenai (allenai/Olmo-core sur GitHub). Il compte 1 772 étoiles sur GitHub et 364 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 2 novembre 2026.

OLMo-core — the current PyTorch building blocks for the OLMo open language model ecosystem, Apache-2.0

★ 1,8 k étoiles⑂ 364 forksApache-2.0mis à jour nov. 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
1 772
Forks
364
Licence
Apache-2.0
Dernière mise à jour sur GitHub
2 novembre 2026
Catégorie
LLM locaux
Type de fiche
Guide d'installation complet
Site officiel
Documentation
// fonctionnement

Comment ça marche

  1. Clone the repository

    Clone the current OLMo-core repository from GitHub.

  2. Install from source or PyPI

    Install in editable mode with all extras for training work, or take the published package for library use.

  3. Build on the OLMo blocks

    Use the documented modelling and training building blocks for your own OLMo-based model or experiment.

// fonctionnalités

Pourquoi on l'adore

The current OLMo codebase

The successor the old OLMo repo itself points to — actively pushed, not a frozen snapshot.

PyTorch building blocks

Modelling and training components for the OLMo ecosystem, rather than a single fixed model script.

Fully open lineage

OLMo is the fully open model family from AI2: open weights, data and code are the stated principles of the project.

Documented on Read the Docs

API documentation for the library lives on its Read the Docs site.

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// lancez-le

Lancez-le vous-même

  1. Clone and install from source

    The README install route: clone, then editable install with all extras.

    git clone https://github.com/allenai/Olmo-core.git
    cd Olmo-core
    pip install -e .[all]
  2. Install the package

    The published package for library use.

    pip install ai2-olmo-core
  3. Read the documentation

    Modelling and training docs for the OLMo building blocks.

    https://olmo-core.readthedocs.io/en/latest/
// cas d'usage

Ce que vous pouvez créer

  • Building and training models on the OLMo ecosystem
  • Studying fully open language-model design with open code
  • Running OLMo-based experiments from the current codebase
  • Extending OLMo modelling blocks for new research
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// faq

Questions fréquentes

Who makes OLMo-core?

The Allen Institute for AI (AI2), as the building-blocks library for its OLMo model family.

Is OLMo-core free?

Yes — Apache-2.0 licensed.

Is this the same as the old OLMo repo?

No — the old allenai/OLMo repo says it is out of date and no longer active and points here; OLMo-core is the current codebase.

Is OLMo-core a chatbot?

No — it is a PyTorch library of modelling and training building blocks for researchers and engineers.

How do I get started?

Clone allenai/Olmo-core, pip install -e .[all], and follow the Read the Docs documentation.

// continuez l'exploration

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