LibreAI / Local LLM / litellm
// local-llm · BerriAI/litellm

litellm

The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, an…

★ 60.1k stars⑂ 12.0k forksCustomupdated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

litellm is an open-source local llm project by BerriAI (BerriAI/litellm on GitHub). It has 60,091 GitHub stars and 12,000 forks, is released under the Custom license, and was last updated on GitHub on 3 October 2026.

Repository
BerriAI/litellm
GitHub stars
60,091
Forks
12,000
License
Custom
Last updated on GitHub
3 October 2026
Category
Local LLM
Listing
Full install guide
Official site
Official site
// how it works

How it works

  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.

// features

Why people love it

LLM-powered

Large language models drive its smartest features, locally or via API.

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.

Extensible

RAG, tools, and agents build on the same base.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/BerriAI/litellm.git
    cd litellm
  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
// use cases

What you can build

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// faq

Questions, answered

Who maintains litellm?

It is an open-source project at BerriAI/litellm with 12,000 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is litellm free for commercial use?

Licensed under Custom — check the repo for commercial-use terms.

What hardware do I need?

8B models run on 16GB RAM; bigger models want a real GPU.

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.

// keep exploring

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// alternatives

Alternatives in Local LLM

The most-starred other Local LLM projects in the LibreAI catalogue — the realistic shortlist if litellm is not the right fit.

Get litellm

Free and open — grab the source, star the repo, and start creating.