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Unsloth confirmed that MLX fine-tuning support is coming to their platform early next month, which could be a major breakthrough for local AI development on Apple Silicon Macs. Currently, Mac users are limited to inference and basic training demos, but this update would enable **proper fine-tuning capabilities** that take advantage of Apple's unified memory architecture. While it won't replace high-end NVIDIA setups for large-scale training, it could enable a complete local AI workflow and reduce dependency on cloud computing for Mac-based developers.
Yesterday, the Unsloth dev actually responded to my question over in r/unsloth and confirmed that MLX fine-tuning support is expected sometime early next month in unsloth studio. If they actually nail this and ship it properly, it’s going to be a pretty huge moment for anyone doing local AI work on MacBooks and Mac Studios.
Up until now, those of us on Apple Silicon have mostly been stuck doing inference and complicated mlx training demos. Proper training and fine-tuning has always felt like the missing layer on these machines, which is a shame considering how much raw unified memory and efficiency they pack.
If this lands well, it feels like it could unlock a true end-to-end local workflow.
Obviously, this isn't going to suddenly replace serious NVIDIA setups for large-scale training. The interesting shift is just how much more we'll realistically be able to do locally. Less dependency on cloud compute, and a lot more freedom to just build and experiment.
Personally, I’m running 2