this post was submitted on 01 Nov 2023
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Machine Learning
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From direct exp Mac m1 and m2 air and mini run 7b quantized models ok but barely, they prefer 3b like orca mini. So your goal for running a 30b quantized is realistic, but only for inference and I would use ollama or other model servers that run as api's and then run your interface client separately, strealit, chainl et al. From a devs standpoint I prefer mac's just bec the Linux core in macos. My experience with pc laptop nvidia gpu's for inference isn't great. If you want plug it and go setup I rec mb. Dealing with c compliers is a pia in windows which includes llama.cpp, solidity and various others. Training or fine tuning on any consumer level hw isn't practical to me unless it's a million param model.
that went over my head! so basically i have an m3 max. and i want to run an LLM on this hunk of junk. How the hell do i even get to upload it on. i am just asking copilot. ill let yo uguys know of what actually performs.