What is it?
What it is
Unsloth Studio lets you run and train models locally. ```bash curl -fsSL https://unsloth.ai/install.sh | sh
Why it exists
Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
Who should use it
Teams building with Python who want an open-source, self-hosted option.
Who should avoid it
Teams that need a fully managed SaaS with enterprise SLAs out of the box.
How it works
A quick walkthrough in plain English
How unsloth works in 4 steps
Step 1 of 4
Something triggers the flow
A schedule, webhook, or manual click tells unsloth to start.
Features
Advantages
- Open source (Apache-2.0)
- Active Python ecosystem
- Self-hosted deployment options
Disadvantages
- Requires operational ownership for self-hosted setups
- Community support varies by project maturity
Installation
docker
docker run -d -e JUPYTER_PASSWORD="mypassword" \ -p 8888:8888 -p 8000:8000 -p 2222:22 \ -v $(pwd)/work:/workspace/work \ --gpus all \ unsloth/unsloth
FAQ
What is unsloth?
unsloth is an open-source project licensed under Apache-2.0.
What language is unsloth built with?
Primary language: Python.
Is it free to use?
Yes. Licensed under Apache-2.0. Check the license for commercial use.
Can I run it with Docker?
Yes. Docker install instructions are in the Installation section.
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