Comment on Recommendations on running GPTs on Asahi - M1 Ultra?
moonpiedumplings@programming.dev 5 months agoThe tldr as I understand it is that Mac M1/M2 devices are unique in that the vram (gpu ram) is the same as the normal ram. This sharing allows LLM models to run on the gpu of those chips, and in their “vram” as well.
Llama.cpp was the software that users do this. I can’t find the original guide/article I looked at, but here is a github gist, where the commenters have done benchmarks:
Guenther_Amanita@feddit.de 5 months ago
Alright, interesting… As I said, I’m no expert or anything and this was just my noob optinion.
Thank you for the correction and further resources!
plsnotracking@lemmy.world 5 months ago
Thank you for the discussion folks, I’ll try out Llama.cpp and report back.
I also saw the Neural Engine Stuff hasn’t been merged into main kernel yet but it’s available as a separate out of tree patch. Hopefully merging that will help with more model support? (Pure guesswork)
I also saw that PCL stuff isn’t ready yet and u/marcan42 said it’s WIP that also might be helpful in getting better model support because read somewhere that metal isn’t going to be a part of the Asahi kernel ever(?)
I’m no expert at any of this but hopefully we’ll be able to run some sort of GPTs locally someday.
Good luck.