# Retrieval-free generation

T5-large-ssm-nqo is a closed-book QA model based on the T5 architecture, achieving knowledge retrieval and question answering through pretraining and fine-tuning.

T5-small-ssm-nq is a small closed-book QA model based on the T5 architecture, pre-trained and fine-tuned on C4, Wikipedia, and Natural Questions (NQ) datasets.

Google's T5 model, specifically designed for closed-book QA tasks, achieving high performance on natural questions through multi-stage training.

T5-11b-ssm-nq is a large language model based on the T5 architecture, specifically designed for closed-book question answering tasks. Through pretraining and fine-tuning, this model can answer questions without external knowledge sources.

T5-xl-ssm-nq is a closed-book QA model based on the T5 architecture, excelling in natural questions through pretraining and fine-tuning.