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I think the size is not very important but it can be a good measure of the dependencies. If something needs pytorch and other python stuff it's a more complex i
by andy99 3y ago
I think the size is not very important but it can be a good measure of the dependencies. If something needs pytorch and other python stuff it's a more complex install than something that's stand alone.
That said, llama.cpp (around which this is based), to run on a GPU still needs cuda toolkit (a 4 GB install?). On a mac I'm not so sure. So it's a bit of misdirection, unless we're only talking on CPU.
(Someone correct me if I'm wrong, I'm only familiar with building llama.cpp, can it run from just the binary without cuda?)
- DarmokJalad1701 3y agoThe original llama.cpp did not have CUDA support. It was a pure CPU binary using vector instructions for acceleration. IIRC it uses Apple's "Accelerate" framework for faster computation on the M-series CPUs.