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NMT is a category containing both transformers and deep RNN. The Mozilla translation models are transformer LLM NMTs trained via Marian https://marian-nmt.github.io/ (ref: https://github.com/mozilla/translations/blob/main/docs/READM...)

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NMT doesn't "contain" tranformers and deep RNNs, it can use them. LLMs use a transformer architecture, not everything using a transformer architecture is an LLM. NMT can actually use an LLM, but that's not the case according to the documentation you linked, they use a parallel dataset to train their models.

> they use a parallel dataset to train their models

If you want to be pedantic you should look up the LLM definition.

Care to explain why?

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