Pile-T5 is a natural language processing model developed by EleutherAI. It builds upon the original T5 model, incorporating the Pile dataset and the LLAMA tokenizer during training to enhance its understanding of code-related tasks. This model has undergone training on 2 trillion tokens, twice the amount of training data used for the original T5. Pile-T5 demonstrates strong performance across various downstream tasks, particularly those involving code. EleutherAI also provides intermediate checkpoints, enabling researchers to study the model's evolution over time.