US inference platform for open, fine-tuned and custom models on autoscaling GPUs, with Model APIs, training and self-hosting.

Unsloth overview and key facts (October 2026)
Open-source tool for faster fine-tuning of language models with less GPU memory, including LoRA, QLoRA and reinforcement learning.
What is Unsloth?
Unsloth is an open-source library for fine-tuning language models on your own data with less time and GPU memory. Developers use it to adapt open models to company tasks on a single GPU and then export them for local use.
Unsloth supports LoRA, QLoRA and full fine-tuning as well as reinforcement learning methods such as GRPO and DPO. Besides the code library there is Unsloth Studio, a web interface, and a desktop application. It runs on NVIDIA, AMD and Intel GPUs. The repository had about 76,900 stars and a last push on September 28, 2026.
Unsloth AI features and use cases
- Adapts models to company tasksTeams train an open model on their own examples, for example support answers or document formats, with LoRA or QLoRA. The model learns the task without the cost of training from scratch.
- Fits training on smaller hardwareAccording to the project, training runs about twice as fast with 70 percent less GPU memory. Companies can fine-tune on a single GPU instead of renting a cluster.
- Exports models for local useTrained models can be exported to formats such as GGUF and run in local runtimes. Data and model stay in the company.
What sets Unsloth apart
- Offers a code library, a web interface and a desktop app for the same training functions.
- Dual licensing: Apache-2.0 for the core, AGPL-3.0 for optional parts such as Studio.
Where Unsloth is strongest
Unsloth is an open-source project by Unsloth AI from the United States and can be used worldwide without country ties.
Questions to ask before you buy Unsloth
Check the license of each component: the AGPL-3.0 parts carry obligations if you offer them as a service. Fine-tuning data often contains personal data, so clarify the legal basis before training. Plan who maintains and retrains the adapted model.
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Questions about Unsloth
Is Unsloth free?
Yes. The core package is open source under Apache-2.0, and optional components such as Unsloth Studio are under AGPL-3.0.
Which hardware does Unsloth support?
According to the README, it supports NVIDIA GPUs, AMD GPUs via a ROCm image, Intel GPUs and CPU inference.
Which training methods are available?
LoRA, QLoRA and full fine-tuning plus reinforcement learning methods such as GRPO and DPO.
Unsloth update historyno updates yet
No changes recorded for Unsloth yet.
Changes the vendor made and confirmed user reports, each checked against the vendor's own pages. We review every tool monthly.
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