colibri

<p align="center">
  <img src="assets/colibri-logo.svg" width="560" alt="colibrì: tiny engine, immense model">
</p>

<p align="center">
  <a href="https://justvugg.github.io/colibri"><img src="https://img.shields.io/badge/website-justvugg.github.io%2Fcolibri-1f6feb" alt="Website"></a>
  <a href="https://github.com/JustVugg/colibri/releases"><img src="https://img.shields.io/github/v/release/JustVugg/colibri?color=2ea043" alt="Latest release"></a>
</p>

<p align="center">
  <a href="https://justvugg.github.io/colibri"><b>Website</b></a> ·
  <a href="https://discord.gg/RXV83nSZdk"><b>Discord</b></a> ·
  English · <a href="README.zh-CN.md">简体中文</a> · <a href="README.zh-TW.md">繁體中文</a> · <a href="README.it.md">Italiano</a> · <a href="README.ja.md">日本語</a> · <a href="README.id.md">Bahasa Indonesia</a> · <a href="README.pt-BR.md">Português (Brasil)</a>
</p>

**Tiny engine, immense model.** colibri runs very large open models on the
machine you already have. A mixture-of-experts model of hundreds of billions of
parameters uses only a small part of itself for each token, so colibri keeps
that part in RAM and reads the rest, the experts, from the disk when the model
asks for them. Pure C, one file per model family, no GPU required.

Thirteen engines run today. Ten are for language models: **GLM-5.2/5.3** (which
also runs **Mistral-Large-4**), **GLM-5.3-Flash**, **Inkling**, **Kimi K3**,
**DeepSeek V4 Flash**, **DeepSeek V4.1 Flash**, **MiMo-V2.6 Flash** (and Pro),
**Qwen3.8-Flash-Next**, **Qwen3.6** (which also runs Qwen3-Coder, the dense
Qwen3.8-27B, **Flint**, **Muse Spark Open** and **LFM3-VL**) and **OLMoE**. One
draws pictures: **Qwen-Image-2.1**. Two answer decisions: **Laya** and
**GLiNER2.5-Decide**, with a third decision model, **Clef**, on the Qwen3.6
engine. The language models also run from the GGUF files already published,
read as they are ([GGUF](docs/gguf.md)), on the CPU, on any GPU through Vulkan
and on NVIDIA cards through CUDA. [Which one for my machine](#which-model-for-my-machine)

```
$ ./coli chat
  colibri v2.1.0 · GLM-5.2 · 744B MoE · int4 · streaming CPU
  ✓ ready in 32s · resident 9.9 GB
  › ciao!
  ◆ Ciao! Come posso aiutarti oggi?
```

<p align="center">
  <a href="https://www.buymeacoffee.com/justvugg"><img src="https://img.buymeacoffee.com/button-api/?text=Buy%20me%20a%20coffee&emoji=&slug=justvugg&button_colour=FFDD00&font_colour=000000&font_family=Poppins&outline_colour=000000&coffee_colour=ffffff" alt="Buy me a coffee" height="40"></a>
  <br>
  <sub>colibri is free and open source. If it has earned a place on your machine, a coffee helps pay for the next engine and the next speedup.</sub>
</p>

<a id="get-started"></a>
<a id="the-one-step-way"></a>

## Get started in one step

You need a computer with **8 GB of RAM** at the very least (16 GB or more is
better), **22 GB free on the disk** for the smallest model, and an internet
connection. A graphics card is optional.

**Windows**

1. On this page click **Code**, then **Dow