Conversion GemsConversion Gems
Submit a tool
AI Tools · AI Development

Unsloth

Free, open-source app and library for running and fine-tuning AI models on your own computer, with less GPU memory than standard training.

Our take: Unsloth is a strong first choice if you want to fine-tune an open model without renting a cluster.

Best forFine-tuning LLMs locally
ReviewedPricing: Freemium
8.0 out of 105 criteria · see breakdown
Try UnslothFree open source; Pro and Enterprise quote-based

Unsloth is a free, open-source library and desktop app for running and fine-tuning AI models on your own computer, aimed at developers and researchers with a GPU or a free Colab notebook. The standard version costs nothing; Unsloth Pro and Enterprise exist but are quote-based.

The bottom line

Free and capable for local fine-tuning; paid tiers need a sales call.

Our score

Reviewed by the Conversion Gems editorial team. Hover a facet to focus it; click to pin.Tap a facet to focus it.

What it is, and why we rate it

One line each. Open a row for detail.

What it really isAn open-source library, web UI and desktop app for running and fine-tuning open AI models on local hardware.
Our takeUnsloth is a strong first choice if you want to fine-tune an open model without renting a cluster.
The free version covers LoRA, QLoRA, full fine-tuning and RL, and the desktop app removes most of the setup that used to scare people off. The paid side is murky: Pro and Enterprise have no public prices and the pricing page lags the GitHub docs. Treat the speed and VRAM numbers as the project's claims and benchmark your own model.
Why we rate itA free, active open-source project that makes local fine-tuning practical on consumer GPUs.
The catchPaid tiers are contact-only and the pricing page is out of date; the desktop app is still beta.

Best / not good for

Best for
  • Fine-tuning open LLMs on one GPU
  • Researchers using free Colab notebooks
  • Developers wiring local models into agents
Not good for
  • Teams needing published enterprise pricing
  • Users who only want a simple chat app
Trade-offs

Friction report

Trade-offs to know before signing up.

  1. Time to value
    Minutes to install the desktop app; hours to prepare data for a first fine-tune.
  2. Scale breakpoint
    Multi-node training or vendor support means a Pro or Enterprise quote.
  3. Walled garden
    Low: open-source code and exports to GGUF and other standard formats.
Still a fit?
If none of these block you, start on the free plan.
Try Unsloth

Unsloth plans

PlanPriceWhat the vendor lists
Free$0 (open source)Desktop app, Studio web UI and library; Apache 2.0 core, AGPL-3.0 Studio UI
Unsloth ProQuote-based2.5x faster training and 20% less VRAM than the open-source version, up to 8 GPUs
Unsloth EnterpriseQuote-basedMulti-node training, full training, faster inference, customer support

From Unsloth's pricing page and GitHub README, checked 4 October 2026. The pricing page still marks multi-GPU as 'coming soon' for the free version, while the README says multi-GPU is supported.

Which way to use Unsloth

If youStart with
Want to chat with or train models without codeUnsloth Desktop (Mac, Windows, Linux)
Prefer a browser UI or a serverUnsloth Studio or the Docker image
Write Python training scriptsUnsloth Core library
Have no local GPUThe free Colab or Kaggle notebooks

Based on Unsloth's README and homepage, checked 4 October 2026.

Frequently Asked Questions

What is Unsloth for?

Unsloth is for running and fine-tuning open AI models on your own hardware. It supports LoRA, QLoRA, full fine-tuning and reinforcement learning, and it also lets you chat with local models, generate images and connect coding agents.

Is Unsloth free?

Yes. The standard version is free and open source: the core package is Apache 2.0 and the Studio UI is AGPL-3.0. Unsloth Pro and Enterprise exist, but both are contact-us tiers with no published price (checked 4 October 2026).

Is Unsloth legit?

It is an open-source project on GitHub with about 77k stars, active releases (latest on 1 October 2026) and official model pages on Hugging Face. Its speed and memory figures are the project's own claims, so test them on your model.

What are the key differences between Ollama and Unsloth?

Ollama is built to run open models locally or in its cloud. Unsloth can run models too, but its main purpose is training and fine-tuning them, then exporting them to formats such as GGUF.

What hardware does Unsloth need?

The project says it works on Windows, Linux, WSL and macOS, with NVIDIA, AMD and Intel GPUs, CPUs and Vulkan, plus multi-GPU setups. Without a suitable GPU you can use its free Colab and Kaggle notebooks.

What do Unsloth Pro and Enterprise add?

The pricing page lists Pro with faster training, 20% less VRAM than the open-source version and up to 8 GPUs, and Enterprise with multi-node training, faster inference and customer support. Prices are quote-based (checked 4 October 2026).

Unsloth alternatives

Other open-source model tools from our reviews:

Showing 1–3 of 3
Sources checked October 4, 2026: Unsloth homepage, Unsloth pricing, Unsloth on GitHub, Unsloth documentation.

Conversion Gems independently reviews every tool.

Tags

#Unsloth#FineTuning#LocalLLM#OpenSource

Explore related categories

Compare AI Development softwareAI Development