# Brattoi: a tiny AI potato that runs on your muOS handheld

**URL:** https://community.muos.dev/t/brattoi-a-tiny-ai-potato-that-runs-on-your-muos-handheld/1729
**Category:** Release
**Tags:** custom
**Created:** [October 25, 2026, 11:56pm UTC](https://community.muos.dev/t/brattoi-a-tiny-ai-potato-that-runs-on-your-muos-handheld/1729 "2026-10-25T23:56:13Z")
**Posts on this page:** 1
**Page:** 1

<div class="post-metadata">

### Author: ![Habbening](https://community.muos.dev/user_avatar/community.muos.dev/habbening/32/101_2.png) [@Habbening](https://community.muos.dev/u/Habbening)
#### Post date: [October 25, 2026, 11:56pm UTC](https://community.muos.dev/t/brattoi-a-tiny-ai-potato-that-runs-on-your-muos-handheld/1729/1 "2026-10-25T23:56:13Z")

</div>

![Brattoi](https://community.muos.dev/uploads/default/original/2X/d/db74d3fb039ebdc651671b5a5b5d599ddd47afd9.gif)

Brattoi is an app that runs a small language model on the handheld itself, inside Mustard Terminal. No cloud, no account. It is a demo of what the hardware and muOS can do.

What it does:

- Ask muOS: ready-made help questions, answered from a bundled copy of the muOS docs and forum FAQ as of October 2026. Sources shown.
- Ask your own question: type one with the on-screen keyboard.
- Just for fun: silly prompts.
- Free chat: talk to it.
- Models: download, switch or delete models.

It is a very small model doing its best. It makes mistakes and says silly things. For real help, go to [https://muos.dev](https://muos.dev).

### Download

> **[Releases · Habbening/Brattoi](https://github.com/Habbening/Brattoi/releases)**
>
> Tiny AI potato for muOS. Small LLM running on the handheld, in Mustard Terminal. - Habbening/Brattoi

### Install

1. Copy `Brattoi_v0.12.muxapp` to `ARCHIVE/` on the SD card.
2. Install it with Archive Manager. Brattoi shows up in Applications.
3. Launch it. The first launch shows the controls.
4. Download a model from Models. Needs WiFi.

No WiFi on your device (the Pixel 2 has none built in)? Download the model on a PC from the link in `models.json` and copy the `.gguf` file to `MUOS/application/Brattoi/.brattoi/` on the SD card.

On my GKD Pixel 2 I used this to provide WiFi and BT: [https://www.aliexpress.com/item/1005012652537014.html](https://www.aliexpress.com/item/1005012652537014.html)

### Which model

Get Granite 4.0 350M and Qwen2.5 0.5B and pick Auto. Granite answers muOS questions, Qwen does the chats. About 5 to 7 words a second on the Pixel 2. A help answer takes 30 to 60 seconds.

**Models**

| Model | Size | Good at | Direct download |
| --- | --- | --- | --- |
| Granite 4.0 350M | 228 MB | Help answers (recommended) | [https://huggingface.co/ibm-granite/granite-4.0-350m-GGUF/resolve/main/granite-4.0-350m-Q4\_0.gguf](https://huggingface.co/ibm-granite/granite-4.0-350m-GGUF/resolve/main/granite-4.0-350m-Q4_0.gguf) |
| Qwen2.5 0.5B | 353 MB | Chat | [https://huggingface.co/bartowski/Qwen2.5-0.5B-Instruct-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Q4\_0.gguf](https://huggingface.co/bartowski/Qwen2.5-0.5B-Instruct-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Q4_0.gguf) |
| LFM2 350M | 219 MB | Some sense | [https://huggingface.co/LiquidAI/LFM2-350M-GGUF/resolve/main/LFM2-350M-Q4\_0.gguf](https://huggingface.co/LiquidAI/LFM2-350M-GGUF/resolve/main/LFM2-350M-Q4_0.gguf) |
| SmolLM2 360M | 230 MB | Some sense | [https://huggingface.co/bartowski/SmolLM2-360M-Instruct-GGUF/resolve/main/SmolLM2-360M-Instruct-Q4\_0.gguf](https://huggingface.co/bartowski/SmolLM2-360M-Instruct-GGUF/resolve/main/SmolLM2-360M-Instruct-Q4_0.gguf) |
| Gemma 3 270M | 242 MB | Not accurate | [https://huggingface.co/unsloth/gemma-3-270m-it-GGUF/resolve/main/gemma-3-270m-it-Q4\_0.gguf](https://huggingface.co/unsloth/gemma-3-270m-it-GGUF/resolve/main/gemma-3-270m-it-Q4_0.gguf) |
| SmolLM2 135M | 92 MB | Not accurate | [https://huggingface.co/bartowski/SmolLM2-135M-Instruct-GGUF/resolve/main/SmolLM2-135M-Instruct-Q4\_0.gguf](https://huggingface.co/bartowski/SmolLM2-135M-Instruct-GGUF/resolve/main/SmolLM2-135M-Instruct-Q4_0.gguf) |

### Devices

Tested on the GKD Pixel 2 on muOS 2606.0 Andromeda. Should run on other aarch64 muOS devices, untested. Reports welcome, here or on GitHub.

### Credits

Logo: @PotatoJesus “Brotato’s” avatar, used with their OK. The name came from SmolLM2 calling itself “Brattoi”. Runs on llama.cpp. Licences in the repo.