# Unsloth Desktop

> Source: <https://unsloth.ai/docs/desktop>
> Published: 2026-08-11 14:31:38+00:00

**Introducing Unsloth Desktop**

**Unsloth Desktop (Beta)** is a free, **open-source** app for running and training AI models on your own local hardware. Available for macOS, Windows, and Linux.

Unsloth lets you run, train and deploy LLMs, **diffusion** image/video, **MLX**, GGUF and audio models.

[Download Unsloth Desktop](https://unsloth.ai/download)[Features](/docs/desktop#features)[GitHub](https://github.com/unslothai/unsloth)

**Features** ✨

**Get started** 🦥

Install Unsloth Desktop, download a model, and start chatting in minutes.

**Download Unsloth Desktop:**[macOS](https://unsloth.ai/download/mac)[Windows](https://unsloth.ai/download/windows)[Linux and WSL](https://unsloth.ai/download/linux)

### Install Unsloth Desktop

Download

[Unsloth Desktop](https://unsloth.ai/download)Launch the app

### Unsloth is now ready

To chat, type a message and press Enter.

**Connect tools:**[Claude Code](/docs/basics/claude-code),[Codex](/docs/basics/codex),[web search](/docs/new/studio/chat#advanced-web-search),[MCP](/docs/basics/mcp)and more**Train models:** Fine-tune text, diffusion,[embedding](/docs/basics/embedding-finetuning), and more

**Feature Deep Dive ⭐**

See everything Unsloth Desktop has to offer:

## Access model anywhere

Serve your local or Colab models over HTTPS through Unsloth's free [Cloudflare tunnel](/docs/basics/how-to-serve-local-llms-anywhere-secure-remote-access-with-cloudflare-and-unsloth). Check a run from **your phone**, your laptop, or anywhere else you happen to be.

Bind the app to your network with `-H 0.0.0.0`

, or open a free Cloudflare tunnel for HTTPS:

## Use Cloud Models

Run models from OpenAI, Anthropic, Ollama, llama.cpp, vLLM, and more.

Use the same Unsloth chat interface for local and cloud models with support for tool-calling, image gen, [prompt caching](https://sites.gitbook.com/preview/site_mXXTe/~/revisions/KsWgqmEjr66G4kYiZdG8#prompt-caching) to reduce token usage while preserving provider-native features like OpenAI’s [web search](https://sites.gitbook.com/preview/site_mXXTe/~/revisions/KsWgqmEjr66G4kYiZdG8#web-search-and-thinking) and [code execution](https://sites.gitbook.com/preview/site_mXXTe/~/revisions/KsWgqmEjr66G4kYiZdG8#code-execution).

## Connect your Agent

[Unsloth Start](/docs/integrations/unsloth-start) lets you connect [Claude Code](/docs/basics/claude-code), [Codex](/docs/basics/codex) and other agents to local models via the `unsloth start`

command.

Start Unsloth, load a model, open your project folder, and then run:

#### Do you collect my data?

No telemetry. Unsloth detects your GPU type and device so the app can know what works. The app can run entirely offline.

#### Can I use models I already downloaded?

Yes, they are found automatically. If yours are not you can specify your own custom folders.

#### Why is inference slower sometimes?

Web search, code execution and tool-call healing all cost time. Turn them off and speed should match any other llama.cpp app. Still slow? Open a GitHub issue.

#### GPU only?

No. Unsloth works on a wide variety of CPU, Mac etc setups.

#### Does it support OpenAI-compatible APIs?

Yes. See the [API guide](/docs/basics/api). We also support connection to [Cloud models](/docs/integrations/connections) or other APIs like Anthropic or OpenAI.

#### What devices does Unsloth support?

Unsloth supports all OS including Mac, Windows, Linux and WSL and supports NVIDIA, Intel, AMD and Mac GPUs/CPUs. Older hardware however may not be well supported.

A huge thank you to NVIDIA and Hugging Face for being part of our launch. Also thanks to all of our early beta testers for Unsloth Desktop, we truly appreciate your time and feedback. We’d also like to thank llama.cpp, PyTorch, stablediffusion.cpp, and open model labs for providing the infrastructure that made Unsloth Desktop possible.