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Cake day: June 14th, 2023

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  • For LLMs it entirely depends on what size models you want to use and how fast you want it to run. Since there’s diminishing returns to increasing model sizes, i.e. a 14B model isn’t twice as good as a 7B model, the best bang for the buck will be achieved with the smallest model you think has acceptable quality. And if you think generation speeds of around 1 token/second are acceptable, you’ll probably get more value for money using partial offloading.

    If your answer is “I don’t know what models I want to run” then a second-hand RTX3090 is probably your best bet. If you want to run larger models, building a rig with multiple (used) RTX3090 is probably still the cheapest way to do it.
















  • Do you mean that you want to build the docker image on one computer, export it to a different computer where it’s going to run, and there shouldn’t be any traces of the build process on the first computer? Perhaps it’s possible with the –output option… Otherwise you could write a small script which combines the commands for docker build, export to file, delete local image, and clean up the system.