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Alifatisktoday at 9:36 AM1 replyview on HN

> New Causal Encoder–Decoder architecture: just 8B active parameters for input, 16B for output.

Oh interesting, I can assume what the benefits is for including the Encoder, but whats the downside? I’m thinking GPT (which is decoder only) ruled out Encoder for a reason?


Replies

Alpha3031today at 9:51 AM

Enc-decs are usually harder to train at frontier scale. Not 100% sure what DeepSeek has done differently here initial read seems to be something related to layer reuse but I just skimmed things so far.