v0.1.701-beta

[Unsloth Desktop](https://unsloth.ai/) is here! The first desktop app to run and train AI models locally. Research, export and deploy from the same open-source app on Windows, macOS and Linux.

<img width="500" height="1600" alt="unsloth desktop" src="https://unsloth.ai/cgi/image/unsloth_qwen3.8_final_ut2eqWnYJ-SLmu0s7x522.png?format=raw" />

**[🦥 Download Unsloth Desktop for Linux, Windows, MacOS](https://unsloth.ai/download)**

Here's what you can do with Unsloth Desktop:

- Get **up to 50% more accurate tool calling** with self-healing calls and sandboxed code execution.
- Run **Muse Glimmer 30B, Kimi K3, Qwen3.8, DeepSeek-V4 Flash 0731, Gemma 4**, and more.
- Generate videos with **MiniMax-H3**, and create images and videos with other diffusion models at up to **2× faster inference** on supported workflows.
- Use unlimited private **web search, Deep Research, RAG and MCP**.
- Export models to **NVFP4, GGUF** and other formats.
- Access Unsloth remotely through **Cloudflare HTTPS**.
- Run on **CPU or multiple GPUs** across **NVIDIA, AMD, Intel and Mac**.
- Train models without code, using less time and VRAM.
- Use local models through Unsloth's **OpenAI-compatible API**, or connect **OpenAI and Anthropic** models.

## Tools, private research + APIs

[Self-healing tool calling](https://unsloth.ai/docs/new/studio/chat#auto-healing-tool-calling) repairs malformed calls instead of dropping them. Models can run Python and Bash inside sandboxed environments, so they can test code, create files and verify their work.

Use unlimited private web search, let [**Deep Research**](https://unsloth.ai/docs/new/studio/chat) plan and produce cited reports, or bring your own files into **RAG**. You can also connect MCP tools for workflows that need external apps, data or actions.

Local models can be served through Unsloth's [**OpenAI-compatible API**](https://unsloth.ai/docs/basics/api) for agents and other clients. Inside Desktop, you can also connect OpenAI and Anthropic as cloud model providers.

## Muse Glimmer 30B + latest models

Run [**Muse Glimmer 30B**](https://unsloth.ai/docs/models/muse-glimmer) locally for chat, agents, tools and APIs, alongside **Kimi K3, Qwen3.8, DeepSeek-V4 Flash 0731 and Gemma 4**. Download and manage them in one place through Unsloth Desktop.

## MiniMax-H3 + image and video diffusion

Run [**MiniMax-H3**](https://huggingface.co/unsloth/MiniMax-H3-GGUF) locally for video generation. Create images and videos locally, edit existing images and train supported diffusion models. Use LoRAs, reference images and ControlNet where available, with up to **2× faster inference** on supported workflows.

## No-code training, export + remote deployment

Pick a model and dataset, adjust the settings and start training. You can train supported LLMs, diffusion models, TTS models and embedding models without writing code. On supported LLM workloads, training is up to 2× faster and uses up to 70% less VRAM.

[Export](https://unsloth.ai/docs/new/unsloth-studio/export) your trained models to **NVFP4, GGUF** and other supported formats. You can also securely deploy and access models remotely: turn on Remote access to publish Unsloth through a Cloudflare HTTPS link, then use the app and its local APIs from another device.

## Hardware + platform support

Unsloth Desktop runs on **Windows, macOS and Linux**. Hardware support spans **CPU and multi-GPU systems**, **NVIDIA and AMD GPUs**, **Intel hardware**, and **Mac**.

CPU support includes Chat and Data Recipes. Training and inference options vary by model and backend.

## Download Unsloth Desktop

Unsloth Desktop is **free and open source**. Download it for:

- **Windows**
- **macOS**
- **Linux**

**[🦥 Download Unsloth Desktop](https://unsloth.ai/download)**

**[Star Unsloth on GitHub](https://github.com/unslothai/unsloth)**

## v0.1.701-beta Update (1PM PDT time August 11th)
- Fixed slow Windows downloading (200x faster due to throttling)
- Fixed Mac asking to download command line tools (uv bug)
- Fixed AMD Strix Halo not being detected
- Other bug fixes