PERSONAL LOCAL-AI PROJECT
Vontra
Exploring local AI and sharing useful MLX work with the community.
I’m one person interested in what open models can do on hardware you can actually own. I work through the difficult parts of running them locally and share anything that might save somebody else time.
What I work on
- MLX and Apple silicon: conversions, quantized checkpoints and architecture compatibility.
- Local inference: practical serving notes, memory observations and fixes tested on real hardware.
- Open sharing: useful artifacts, honest caveats and clear credit to the original model creators.
The local lab
Most of the MLX work happens on a Mac Studio and MacBook Pro. I also use a ThinkStation PGX (DGX Spark) for local inference experiments outside the Apple ecosystem.
If something here saves you a conversion, a compatibility fix or a few hours of testing, then sharing it was worthwhile.
Personal project · Best effort · Upstream licences and attribution always apply