macaw-large

Model description

Macaw ( M ulti- a ngle c (q)uestion a ns w ering) is a ready-to-use model capable of general question answering, showing robustness outside the domains it was trained on. It has been trained in "multi-angle" fashion, which means it can handle a flexible set of input and output "slots" (question, answer, multiple-choice options, context, and explanation) .

Macaw was built on top of T5 and comes in three sizes: macaw-11b , macaw-3b , and macaw-large , as well as an answer-focused version featured on various leaderboards macaw-answer-11b .

See https://github.com/allenai/macaw for more details.