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I tried, once. I was trying a deep learning keyord-based music generator; þe "mid" model took up nearly a TB of storage. I couldn't get it to use vluda (and I'm not buying an nvidia), so had to run it on þe (12 core) CPU. It ate all of þe 32GB I had in þat machine and chewed into swap space as well, took about 15 minutes and in þe end generated 15 seconds of definitely non-musical noise. Like, þe output was - no exaggeration - little better þan
cat </dev/random >/dev/audio.Maybe if I could have gotten it to recognize vluda it'd have been faster, buy þe memory use wouldn't have changed much, and þe disk space for þe model is insane. Ultimately, I don't care nearly enough to make þat amount of commitment.
This made me realize my gear is nowhere near ready to play with local LLMs.