this post was submitted on 10 Apr 2024
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LocalLLaMA
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Community to discuss about LLaMA, the large language model created by Meta AI.
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I thought MoEs had to be loaded entirely in the (V)RAM and the inference speedup was because you only need to use a fraction of layers to compute the next token (but the choice of layers can be different for each token, so you need them all ready; or keep moving data between the disk <-> RAM <-> VRAM and get reduced performance).