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16 changes: 14 additions & 2 deletions README.md
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**Status: WIP / Experimental**

The goal of this project is to provide MLX training on Apple Silicon with semi-drop-in support for Axolotl configurations (best-effort).
The goal of this project is to provide MLX training on Apple Silicon (and CUDA devices) with semi-drop-in support for Axolotl configurations (best-effort).

<p float="left" align="middle">
<img height="514" alt="image" src="https://github.com/user-attachments/assets/3ad354f6-381b-4b19-b3bd-ab4077fd9ec2" />
<img height="484" alt="image" src="https://github.com/user-attachments/assets/bfe1c421-9c7d-4cb4-b480-475b9a792a7c" />
</p>

## Setup

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# Lint code
uv run ruff check .
```
```

## Limitations on CUDA

Due to MLX limitations, some features are not supported on CUDA devices:

- QLoRA (4bit and 8bit)
- Possibly other stuff!
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