This is the Linux app named Unsloth-MLX whose latest release can be downloaded as v0.3.4sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Unsloth-MLX
DESCRIPTION:
Unsloth-MLX offers developers the power of Unsloth’s efficient large language model fine-tuning experience on Apple Silicon Macs by wrapping Apple’s native MLX framework with an API fully compatible with Unsloth workflows. This project removes traditional barriers that prevent Mac users from prototyping and experimenting with LLM training locally by allowing the same code used in cloud GPU environments to run on M-series hardware, improving workflow continuity and reducing iteration costs. It supports loading and training Hugging Face models with fine-tuning strategies like SFT, DPO, ORPO, and GRPO and even handles exporting models to formats like GGUF for downstream use, although some limitations apply with quantized models. Users can write and test training pipelines directly on macOS before scaling up, accelerating development cycles and lowering entry barriers for model refinement.
Features
- Local Mac Apple Silicon LLM fine-tuning
- Unsloth-compatible API on MLX backend
- Support for multiple training modes (SFT, DPO, etc.)
- Hugging Face model interoperability
- Export support for multiple formats including GGUF
- Portable code path from local to cloud training
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/unsloth-mlx.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.