DEDUPEDWhat do you want to do?
3 use cases
-
Run and fine-tune open models from a desktop app
Install the Unsloth desktop app and run or train models through a local UI.
- REPO
unslothai/unsloth - Software and DevOps
- Intermediate
View prompt
Install unslothai/unsloth, run <model> in the desktop app, and start a short fine-tune on <dataset>. Report training progress and where outputs are saved.
- REPO
-
Run Claude Code on a local quantized model
Use Unsloth start to launch Claude Code against a local GGUF model.
- REPO
unslothai/unsloth - Claude Code
- Software and DevOps
- Intermediate
View prompt
Run `unsloth start claude --model unsloth/Qwen3.8-27B-GGUF:UD-Q4_K_XL` and complete <small task>. Report response speed and whether the task succeeded.
- REPO
-
Run Unsloth in Docker on a GPU server
Use the official Docker image, or the ROCm image for AMD, on a shared server.
View prompt
Start Unsloth from the unsloth/unsloth Docker image on <server> with GPU access and confirm the UI or notebook loads and sees the GPU.
Quick start with Unsloth
- Check you have what it needs: Windows, macOS or Linux, or Docker; A GPU for training.
- Open unslothai/unsloth on GitHub and read the README and license.
- Install with
brew install --cask unslothorwinget install --id UnslothAI.Unsloth -e - Open Unsloth Desktop
- Pick a model to run
- Start a training job from the UI
These steps come from our top use case, Run and fine-tune open models from a desktop app, which also has a copy-paste agent prompt.
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About this repo
- Who it is forDevelopers and ML hobbyists who want to run or fine-tune open models on their own hardware.
- Why it is hot78k stars
- LanguagePython
- Sourcegithub.com/unslothai/unsloth · Back to Hot repos
Requirements
- Windows, macOS or Linux, or Docker
- A GPU for training
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Questions about Unsloth
What is Unsloth?
Unsloth is a desktop app and toolkit to run and train LLMs and diffusion models locally, supporting GGUF and MLX models, with installers for Windows, macOS, Linux and Docker. It is an open-source project on GitHub: https://github.com/unslothai/unsloth.
Who is Unsloth for?
Developers and ML hobbyists who want to run or fine-tune open models on their own hardware.
What can I do with Unsloth?
3 use cases so far, for example: Run and fine-tune open models from a desktop app; Run Claude Code on a local quantized model; Run Unsloth in Docker on a GPU server. Each has steps and a copy-paste agent prompt.
What do I need to run Unsloth?
Windows, macOS or Linux, or Docker; A GPU for training.
What are alternatives to Unsloth?
Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.
Is Unsloth safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.