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

OLMo-core

OLMo-core es un proyecto de LLM local de código abierto de allenai (allenai/Olmo-core en GitHub). Tiene 1.772 estrellas en GitHub y 364 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 2 de noviembre de 2026.

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

★ 1,8k estrellas⑂ 364 bifurcacionesApache-2.0actualizado nov 2026
▦ visual: el README de este proyecto no incluye ninguna captura incrustable,
así que aquí va un marcador. La guía de abajo está completa de todos modos.
// datos del proyecto

Datos del proyecto

Estrellas en GitHub
1.772
Bifurcaciones
364
Licencia
Apache-2.0
Última actualización en GitHub
2 de noviembre de 2026
Categoría
LLM local
Tipo de ficha
Guía de instalación completa
Sitio oficial
Documentation
// cómo funciona

Cómo funciona

  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.

// características

Por qué gusta tanto

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.

Advertisement
// ejecútalo

Ejecútalo tú mismo

  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/
// casos de uso

Qué puedes crear

  • 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
Advertisement
// preguntas frecuentes

Preguntas frecuentes

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.

// sigue explorando

Herramientas similares

LLM local

GPT-OSS

GPT-OSS — OpenAI open-weight language models: gpt-oss-120b for production reasoning and gpt-oss-20b for local use, Apache-2.0

★ 20,5k estrellasApache-2.0
Ver la guía →
LLM local

sre

Cloud-native runtime for building and running agentic AI in production.

★ 1,3k estrellasMIT
Ver la guía →
LLM local

DeepSeek-Coder-V2

DeepSeek-Coder-V2 — DeepSeek's open code model family that challenged closed-source code models.

★ 7,0k estrellasMIT
Ver la guía →
LLM local

ChatLLM-Web

Private AI chat and model studio that runs in your browser via WebGPU.

★ 636 estrellasMIT
Ver la guía →
LLM local

Step-3.5-Flash

StepFun's open 196B MoE model that activates 11B parameters per token, built for fast agentic reasoning.

★ 2,1k estrellasApache-2.0
Ver la guía →
LLM local

Soup

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

★ 8,1k estrellasApache-2.0
Ver la guía →
// alternativas

Alternativas en LLM local

Los demás proyectos de LLM local con más estrellas del catálogo de LibreAI: la lista realista de alternativas si OLMo-core no es lo que buscas.

  • Ollama★ 182,1k

    The simplest way to run open language models on your own machine.

  • Open Webui★ 153,9k

    User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

  • llama.cpp★ 130,2k

    LLM inference in C/C++

  • vLLM★ 93,1k

    A high-throughput and memory-efficient inference and serving engine for LLMs

  • lobehub★ 83,0k

    🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.

// más en local-llm

Más en LLM local

Proyectos de LLM local cercanos en el catálogo, los más próximos en estrellas a OLMo-core: sigue explorando a ambos lados.

  • ai-file-sorter★ 1,8k

    AI file organizer that sorts and renames files by understanding content.

  • OpenOSINT★ 1,7k

    AI OSINT agent with 20 tools and REPL — for authorized research only.

  • AIaW★ 1,8k

    Elegant AI chat client with workspaces, plugins, and local-first sync.

  • subsai★ 1,7k

    Whisper-powered subtitle generation: Web UI, CLI, and package.

  • waku-agent★ 1,9k

    Local-first agent harness with loop, memory, and evals in readable code.

  • lemonai★ 1,6k

    Self-evolving general AI agent running fully locally, a Manus-style alternative.

Consigue OLMo-core

Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.