This is a version of the google/mt5-base model only for English with some embeddings left.

• Using sentencepiece vocabulary was shrinking from 250K to 20K (top 20K English tokens) the number of model parameters reduced to 244M parameters, and model size reduced from 2.2GB to 0.9GB - 39% of the original one.

Approach was taken from article: How to adapt a multilingual T5 model for a single language.