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Unsloth
Unsloth provides a local interface for running and training language and diffusion models, including GGUF and MLX support.
About Unsloth
Unsloth is a local interface for running and training language and diffusion models, including GGUF and MLX support. It is available as a desktop app, a web UI called Unsloth Studio, and a code-based version called Unsloth Core, with a Docker image also provided.
It runs on Windows, Linux, WSL, and macOS and lists support for multi-GPU setups, NVIDIA, AMD, and Intel GPUs, CPUs, and the Vulkan backend. Capabilities described include serving models through an OpenAI-compatible API, using local models with agents and tools, and exporting models to GGUF, NVFP4, and FP8 formats.
Key features
- Run and train LLMs, diffusion, embedding, and audio models locally
- Supports GGUF and MLX model formats
- Serve models through an OpenAI-compatible API
- Fine-tune with LoRA, QLoRA, full fine-tuning, GRPO, DPO, and FP8
- Export models to GGUF, NVFP4, and FP8 formats
- Access local models over LAN or remotely via Cloudflare HTTPS
Best for: People who want to run and train language and diffusion models on their own hardware.
Good for
- Open-source repository
- Runs on Windows, Linux, WSL, and macOS with NVIDIA, AMD, Intel, CPU, and Vulkan support
- Offered as desktop app, web UI, code version, and Docker image
Unsloth at a glance
- Website
- github.com/unslothai/unsloth
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Unsloth FAQ
How is Unsloth installed?
Desktop downloads are listed for Windows, macOS, and Linux, plus install scripts for macOS, Linux, WSL and Windows, a Homebrew cask for macOS, and the Docker image unsloth/unsloth.
What are the different ways to use Unsloth?
Unsloth Desktop is the desktop app, Unsloth Studio is the web UI launched with unsloth studio, and Unsloth Core is the code-based version.
Which operating systems and hardware are supported?
Windows, Linux, WSL, and macOS are supported, with multi-GPU setups, NVIDIA, AMD, and Intel GPUs, CPUs, and the Vulkan backend.
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