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I can't expect all my users to have 3090s and if we're talking about spending millions there are better things to invest in than a stack of GPUs that will be ob
by beeboobaa3 2y ago
I can't expect all my users to have 3090s and if we're talking about spending millions there are better things to invest in than a stack of GPUs that will be obsolete in a year or three.
- jermaustin1 2y agoNo, but if you are thinking about edge compute for LLMs, you quantize. Models are getting more efficient, and there are plenty of SLMs and smaller LLMs (like phi-2 or phi-3) that are plenty capable even on a tiny arm device like the current range of RPi "clones". I have done experiments with 7B Llama3 Q8 models on a M3 MBP. They run faster than I can read, and only occasionally fall off the rails. 3B Phi-3 mini is almost instantaneous in simple responses on my MBP. When I want longer context windows, I use a hosted service somewhere else, but if I only need 8000 tokens (99% of the time that is MORE than I need), any of my computers from the last 3 years are working just fine for it.