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Running local LLMs on your Mac: what fits, what's free, and what's overkill

10 pointsby 2h agotypetab.app
7 comments
43m agoHN ↗

«The honest table». Right. Not interested in reading what you didn’t write.

42m agoHN ↗

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.

38m agoHN ↗

Vibe slop article advertising a product

34m agoHN ↗

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

30m agoHN ↗

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

20m agoHN ↗

This is old, lm studio support has dropped As of last month the b st seemed to be

* nativ

* omlx

* mtplx