# Question Answering Generation

The TinyLlama 1.5T checkpoint is a small language model based on 1.1B parameters, trained for answering questions.

This model is a fine-tuned version based on mt5-base-squad2-fin on the squad_v2 dataset, primarily used for question answering tasks.

Pre-trained language model based on BERT architecture, supporting masked language modeling tasks

A question-answering model based on the GPT-2 architecture, fine-tuned specifically for the SQuAD2 dataset, capable of answering questions based on given text.