Unsloth Studio Colab

To run this, press "Runtime" and press "Run all" on a free Tesla T4 Google Colab instance!

To install Unsloth Studio on your local device, follow our guide. Unsloth Studio is licensed AGPL-3.0.

Unsloth Studio

Train and run open models with Unsloth Studio. Currently, installation may take 30+ mins so use a newer GPU.

We are actively working on making Unsloth Studio install on Colab T4 GPUs faster.

Features • Quickstart • Data Recipes • Studio Chat • Export

Setup: Clone repo and run setup

!git clone --depth 1 --branch main https://github.com/unslothai/unsloth.git
%cd /content/unsloth

# Run setup script
!chmod +x studio/setup.sh
!./studio/setup.sh

Start Unsloth Studio

import sys
sys.path.insert(0, '/content/unsloth/studio/backend')

from colab import start
start()

And we're done! If you have any questions on Unsloth, we have a Discord channel! If you find any bugs or want to keep updated with the latest LLM stuff, or need help, join projects etc, feel free to join our Discord!

Some other resources:

1. Looking to use Unsloth locally? Read our Installation Guide for details on installing Unsloth on Windows, Docker, AMD, Intel GPUs.
2. Learn how to do Reinforcement Learning with our RL Guide and notebooks.
3. Read our guides and notebooks for Text-to-speech (TTS) and vision model support.
4. Explore our LLM Tutorials Directory to find dedicated guides for each model.
5. Need help with Inference? Read our Inference & Deployment page for details on using vLLM, llama.cpp, Ollama etc.

Join Discord if you need help + ⭐️ <i>Star us on <a href="https://github.com/unslothai/unsloth">Github</a> </i> ⭐️

<b>This notebook is licensed <a href="https://github.com/unslothai/unsloth/blob/main/studio/LICENSE.AGPL-3.0">AGPL-3.0</a></b>