Standard transformer architecture consists of three main components - the encoder, the decoder and the attention mechanism. ... multi-modal functionality, ...

The 330 million parameter model was trained using Azure’s A100 GPUs and fine-tuned through a multi-phase process.

Mu is built on a transformer-based encoder-decoder architecture featuring 330 million token parameters, making the SLM a good ...

The Transformer architecture is made up of two core components: an encoder and a decoder. The encoder contains layers that process input data, like text and images, iteratively layer by layer.

The encoder and decoder are lightweight models. The encoder takes in raw input bytes and creates the patch representations that are fed to the global transformer.