The Mac Studio is an absolute monster for inferencing; but there are a couple of caveats.

• Its slower, pound for pound, than a 4090 when dealing with models the 4090 can fit in its VRAM. So a 13b model on the 4090 is almost twice as fast as it running on the M2.


• The M1 Ultra Mac Studio with 128GB costs far less ($3700 or so) and the inference speed is

... See more

Trying to get a better understanding of how prompts work in relation to fine-tunes, and trying to see if any of them are actually reliable enough to be used in a "production" type environment.

My end goals are basically

• A reliable AI assistant that I know is safe, secure and private. Any information about myself, my household or my proprietary ideas

... See more

am using my own hardware at home to infer, train, and fine-tune (or trying to; my training efforts have been pretty disasterous so far, but inference works very well).

My current uses of LLM inference are:

• Asking questions of a RAG system backed by a locally indexed Wikipedia dump, mainly with Marx-3B and PuddleJumper-13B-v2,


• Code co-pilot with

... See more

M3 max is objectively worse than the M2 for inference.

The M2 ultra has a higher max RAM size of 192 GB

The M1 ultra has 128 GB max ram.

When it comes to these ram numbers something like 2/3 of it is available for inference.

So I see no reason why not to make a general recommendation for the M1 ultra unless you have some reason you want to run q5_K_M... See more