The most notable thing about this model is that they use fewer parameters (20 billion) than many of the other LLM which makes it less resource intensive to train and easier to run.

They also use an encoder-decoder architecture, which is common for machine translation, unlike most large language models which are decoder-only.

https://community.libretranslate.com/t/alexatm-a-20b-multili...