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This repository has been archived by the owner on Aug 19, 2023. It is now read-only.
I don't know whether that would provide much speedup for current LLM architectures, which are memory bound. Rather, it might be useful for Stable Diffusion (compute-bound) or MegaByte transformers.
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I noticed Apple supports ANE Transformers.
According to their own words:
Does that mean running 30B or 65B will be possible on small-memory MacBooks?
Here are a few links
https://github.com/apple/ml-ane-transformers
https://machinelearning.apple.com/research/neural-engine-transformers
As this project is the top LLaMA that leverages Apple GPU, is it possible to support ANE too?
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