Comparison
FrameTrain vs. MLX LoRA Studio. Lean trainer or the whole workflow?
Both put fine-tuning behind an interface on your Mac. MLX LoRA Studio is a free, open-source Mac app on Apple’s MLX that focuses on training language models. FrameTrain is a desktop app for Mac, Windows and Linux that also covers building datasets and testing the finished 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
- MLX LoRA StudioNative Mac app with an interface
- Platforms
- FrameTrainWindows, macOS, Linux
- MLX LoRA StudiomacOS 14 or later
- Apple Silicon (M1–M4)
- FrameTrainYes
- MLX LoRA StudioYes
- Intel Mac
- FrameTrainNo
- MLX LoRA StudioNo
- NVIDIA CUDA
- FrameTrainYes
- MLX LoRA StudioNo
- Engine
- FrameTrainPyTorch and Hugging Face, Metal on the Mac
- MLX LoRA StudioApple MLX
- LoRA and QLoRA
- FrameTrainYes
- MLX LoRA StudioYes
- Image models, e.g. object detection
- FrameTrainYes
- MLX LoRA StudioNo
- Building and labelling datasets
- FrameTrainYes
- MLX LoRA StudioNo
- Live training metrics
- FrameTrainYes
- MLX LoRA StudioYes
- Testing the model after training
- FrameTrainYes
- MLX LoRA StudioNo
- Python setup
- FrameTrainPython 3.10–3.13 needed
- MLX LoRA StudioSet up by the app
- Open source
- FrameTrainPartly
- MLX LoRA StudioYes
- Cost
- FrameTrainfrom €3.33 a month
- MLX LoRA Studiofree
| FrameTrain | MLX LoRA Studio | |
|---|---|---|
| How you use it | Desktop app with an interface | Native Mac app with an interface |
| Platforms | Windows, macOS, Linux | macOS 14 or later |
| Apple Silicon (M1–M4) | Yes | Yes |
| Intel Mac | No | No |
| NVIDIA CUDA | Yes | No |
| Engine | PyTorch and Hugging Face, Metal on the Mac | Apple MLX |
| LoRA and QLoRA | Yes | Yes |
| Image models, e.g. object detection | Yes | No |
| Building and labelling datasets | Yes | No |
| Live training metrics | Yes | Yes |
| Testing the model after training | Yes | No |
| Python setup | Python 3.10–3.13 needed | Set up by the app |
| Open source | Partly | Yes |
| Cost | from €3.33 a month | free |
As of October 2026, based on the MLX LoRA Studio README on GitHub. The project moves fast – check the details there if in doubt.
Deciding
Which one fits you?
Choose FrameTrain if …
- you still need to build and label your dataset
- you want to test the model and feed its mistakes back into training
- you train image models as well as language models
- you also work on Windows or Linux, or with an NVIDIA GPU
- you want versioned training runs in one place
Choose MLX LoRA Studio if …
- you only fine-tune language models
- you only work on an Apple Silicon Mac
- your dataset is already on Hugging Face or in the right format
- you want many training methods such as DPO, ORPO or GRPO
- you want a free, open-source tool
The core
Two good tools with a different focus.
MLX LoRA Studio is built around the training step itself: pick a model and dataset, choose the method, watch the metrics, upload the adapter. It runs on MLX, Apple’s own framework, and is tightly tuned to the Mac. It deliberately is not a chat app or inference server – you serve the result with tools like mlx-lm or Ollama.
FrameTrain starts earlier and ends later. It starts with collecting and labelling data in the Dataset Builder, and it ends with testing in the Laboratory, feeding mistakes back and serving the model through the local API. It trains with PyTorch, which means the same project also runs on a Windows PC with an NVIDIA card.
Frequently asked questions
No. FrameTrain trains with PyTorch and Hugging Face and uses Metal (MPS) on Apple Silicon. That is why it also runs on Windows and Linux with NVIDIA GPUs.
Yes. MLX LoRA Studio is open source under the MIT licence. It needs macOS 14 or later on Apple Silicon.
No. Both need a Mac with Apple Silicon (M1 or later).
Try the whole workflow on your Mac.
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