Yeah, when I saw that I immediately rolled my eyes and closed that tab.

good to have a quick overview, though I am missing some kind of depth, like

There are others — MLX-native runtimes, llama.cpp directly — but Ollama and LM Studio cover 95% of people reading this.

Sure, but... MLX native runtime have a lot of advantages right? and they are not necessarily more complicated like eg ollama. It's worth to mention them, too.

Coming to the next missing part: use cases.

Running it locally competes with dozens of freely available chat bots. And for most simple parts, seriously, you don't need that sophisticated payed AI service. But then: how do local model's perform exactly here: let's start with coding, image generation and more? Like stuff that I probably really want to run locally.

Entire article is vibeslopped

Vibe slop article advertising a product

Whats the best coding model that fits on 16GB unified memory these days?

clearly AI written (aka "slop"), stopped reading after a few paragraphs

This is old, lm studio support has dropped quite a bit.

As of July the best seemed to be

* nativ

* omlx

* mtplx