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Unsloth project preview
Ai MlAlternative to Llama FactoryAlternative to DeepspeedAlternative to Axolotl

Unsloth

Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.

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LicenseApache-2.0
GitHub stars74.5k
Last commit1 weeks ago
Tags8 topics
Deep LearningUnslothLoraFast InferenceLlm FinetuningQloraPythonPytorch
Overview

Why consider Unsloth?

Unsloth is an open-source software project with 74343 stars on GitHub. It provides production-ready capabilities for software development teams.

Guided learning

Learn Unsloth by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 3 sections
In this guide3 sections

Overview of Unsloth

Unsloth is a high-performance open-source project. As stated in the official repository documentation at https://raw.githubusercontent.com/unslothai/unsloth/main/README.md, Unsloth is the first desktop app to run and train models..

Installation and Quick Start

Getting started with Unsloth is straightforward using official setup instructions. As documented in the repository readme at https://raw.githubusercontent.com/unslothai/unsloth/main/README.md, configure the environment using curl -fsSL https://unsloth.ai/install.sh | sh:

bash
1curl -fsSL https://unsloth.ai/install.sh | sh

Licensing and Governance

Unsloth is published as open-source software. According to the official license file at https://raw.githubusercontent.com/unslothai/unsloth/main/LICENSE, the repository is governed under Apache License. This provides clear terms for community adoption.

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Unsloth FAQs

Unsloth is listed as a Ai Ml tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Unsloth is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Unsloth is listed as an alternative to Llama Factory. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.