Comparison
FrameTrain vs. Unsloth. Interface or Python code?
Both fine-tune models with LoRA on your own hardware. Unsloth is a Python library optimised for speed on NVIDIA GPUs. FrameTrain is a desktop app that covers the whole path from dataset to tested model.
14 days · No payment details · Ends on its own
At a glance
What each can do – and what it can't.
- How you use it
- FrameTrainDesktop app with an interface
- UnslothPython code, e.g. in notebooks
- Platforms
- FrameTrainWindows, macOS, Linux
- UnslothLinux, Windows (often via WSL)
- Apple Silicon (M1–M4)
- FrameTrainYes
- UnslothPartly
- NVIDIA CUDA
- FrameTrainYes
- UnslothYes
- LoRA
- FrameTrainYes
- UnslothYes
- QLoRA (4-bit)
- FrameTrainYes
- UnslothYes
- Building and labelling datasets
- FrameTrainYes
- UnslothNo
- Testing and rating models
- FrameTrainYes
- UnslothNo
- Versioning of training runs
- FrameTrainYes
- UnslothPartly
- Open source
- FrameTrainPartly
- UnslothYes
- Cost
- FrameTrainfrom €3.33 a month
- Unslothopen-source version is free
| FrameTrain | Unsloth | |
|---|---|---|
| How you use it | Desktop app with an interface | Python code, e.g. in notebooks |
| Platforms | Windows, macOS, Linux | Linux, Windows (often via WSL) |
| Apple Silicon (M1–M4) | Yes | Partly |
| NVIDIA CUDA | Yes | Yes |
| LoRA | Yes | Yes |
| QLoRA (4-bit) | Yes | Yes |
| Building and labelling datasets | Yes | No |
| Testing and rating models | Yes | No |
| Versioning of training runs | Yes | Partly |
| Open source | Partly | Yes |
| Cost | from €3.33 a month | open-source version is free |
As of October 2026. Both projects move fast – check Unsloth's details yourself if in doubt.
Deciding
Which one fits you?
Choose FrameTrain if …
- you don't want to or can't write code
- you train on a Mac or on Windows without WSL
- you still need to build and label your dataset
- you want to test and improve models after training
- you want image, text and language models in one app
Choose Unsloth if …
- you're comfortable with Python
- you want maximum speed on an NVIDIA GPU
- your dataset is already done
- you want training inside your own scripts or pipelines
- you only fine-tune language models
The core
Different tools for different people.
Unsloth is excellent at making LoRA fine-tuning of language models faster and more memory-efficient. In return, it assumes you work in Python and your data is already in the right shape.
FrameTrain starts earlier – with collecting and labelling data. And it ends later – with testing in the Laboratory, feeding mistakes back and serving the model through the local API. It is not a tool for squeezing the last percent of speed out of a GPU.
Frequently asked questions
No. FrameTrain is a standalone desktop app built on PyTorch and Hugging Face. If you want to use your own training scripts, you can run them in Dev Train mode.
On NVIDIA GPUs, Unsloth is optimised for speed and is usually faster at pure LLM fine-tuning. FrameTrain saves time elsewhere: on the dataset, on testing and because there's no code to write.
Unsloth is primarily aimed at NVIDIA GPUs; Apple Silicon support is limited. FrameTrain runs on M1 to M4 via Metal.
Try the no-code route.
14 days free, no payment details. If it isn't for you, the trial simply ends.
