LocalLLaMA

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Community to discuss about Llama, the family of large language models created by Meta AI.

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40x or more speedup by selecting important neurons (alien.top)

submitted 11 months ago by koehr@alien.top to c/localllama@poweruser.forum

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https://arxiv.org/abs/2311.10770

"UltraFastBERT", apparently a variant of BERT, that uses only 0.3% of it's neurons during inference, is performing on par with similar BERT models.

I hope that's going to be available for all kinds of models in the near future!

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[–] az226@alien.top 1 points 11 months ago

I wonder if you can pass a large dataset of prompts to perform a certain relatively narrow task and see which neurons get activated. And then use statistical measures to add a few surrounding neurons just in case.

Bet you can get away with near zero reduction in size and massive parameter compression.