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Framework

Unsloth

Unsloth is an open-source AI framework, launched in 2023, made for developers.

A framework and local app for fine-tuning and running LLMs faster and with less memory.

Main jobs: Fine-tuning. It is open source and free to use. You can use it offline on your own machine, as a desktop app, in the terminal, through an API and on your own server.

Visit unsloth.ai

Markdown version of https://godooo.ai/en/framework/unsloth. Every page on this site has one: add .md to its address.

At a glance

Launched
2023
Open source
Yes · Apache-2.0
GitHub stars
76,689
How you run it
Runs offline · Desktop · Terminal · API · Self-host
Made for
Developers
Website
unsloth.ai
Also known as
Unsloth Studio

What it can do

  • Fine-tuningmain jobunconfirmed

    “Fine-tuning: Train LLMs, diffusion, TTS, and embedding models 2× faster with 70% less VRAM with no accuracy loss”— unsloth.ai, 2026-09-24
  • Model trainingsupportedunconfirmed

    “Complete support: Supports reinforcement learning , LoRA, QLoRA, full fine tuning, pretraining, RL, GRPO, DPO, and FP8.”— unsloth.ai, 2026-09-24
  • Run models locallysupportedunconfirmed

    “Unsloth lets you run and train AI models on your own local hardware via an open-source UI.”— unsloth.ai, 2026-09-24

unconfirmedproposed by a machine, awaiting calibration

Alternatives

Connections

Applies
LoRA
Built with
PyTorch

Questions

What is Unsloth?

Unsloth is an open-source AI framework, launched in 2023, made for developers. A framework and local app for fine-tuning and running LLMs faster and with less memory.

Is Unsloth free?

Yes. Unsloth is open source (Apache-2.0) and free to use.

Is Unsloth open source?

Yes, under the Apache-2.0 license. The source code is at https://github.com/unslothai/unsloth.

Can Unsloth run locally?

Yes. Unsloth can run offline on your own machine. It can also be self-hosted on your own server.

What can Unsloth do?

Main jobs: Fine-tuning. It can also do: Model training, Run models locally.

What are open-source alternatives to Unsloth?

Open-source ones: MLX, nanoGPT, Kohya's GUI, LlamaFactory, TRL, Axolotl, PEFT and ModelScope. Others: Hugging Face, Together AI and Modal.

Sources