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this post was submitted on 27 Sep 2023
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Programming
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It will depend on the representation of the parameters. Most models support bfloat16, where each parameters is 16-bits (2 Bytes). For these models, every Billion parameters needs roughly 2 GB of VRAM.
It is possible to reduce the memory footprint by using 8 bits for each param, and some models support this, but they start to get very stupid.
That would mean 16GB are required to run this one