Earlier quoted context omitted.
32GB of fast unified memory is enough for Qwen 3.8 27B. - 16GB for the weights at Q4 - 9GB for the full 256K context at Q8 - 7GB spare for overhead and system. The problem is that these Macs have 32GB of slow unified memory. Edit: I'm thinking of a headless Mac mini, if you meant running it on the same machine you're using of course you'll need more memory, but LLMs are best served from a headless server so that's wh…
> Edit: I'm thinking of a headless Mac mini, if you meant running it on the same machine you're using of course you'll need more memory, but LLMs are best served from a headless server so that's what I'd recommend. What? LLMs are best served from a massive PD disaggregated cluster of B300s connected via NVLink. If you're running LLMs on a Mac Mini, it's because you want to run local, not because it's the best setup.
So a headless server.
Macs were mentioned because that's what the post is about. It could be a PC (I use a 2x3090 PC). The point is that it's a better experience to have a box dedicated to the LLM than running it in your system. Obviously in your home, so local.