this post was submitted on 30 Jul 2024
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Exactly! PCs today are powerful enough to run them in decent time without acceleration too, it would just be more efficient to have it, ultimately saving time and energy. I would be interested in seeing how much processing power is wasted to calculate what are effectively edge cases in a models real work load. What percentage of GPT-4 queries could not be answered accurately by GPT-3 or a local LLaMA model? I'm willing to bet it's less than 10%. Terawatt-hours and hundreds of gallons of water to run a model that, for 90% of users, could be ran locally.