# Lightweight Q&A

MobileBERT is a lightweight version of BERT_LARGE, featuring a bottleneck structure design that balances self-attention mechanisms and feed-forward networks. This model is fine-tuned on the SQuAD1.1 dataset and is suitable for question-answering tasks.

A compact Q&A model fine-tuned on the SQuAD2.0 dataset based on Google's BERT-Tiny architecture, with a size of only 16.74MB

BERT-Mini is a small BERT model developed by Google Research, fine-tuned on the SQuAD 2.0 dataset for question-answering tasks, suitable for environments with limited computational resources.

MobileBERT is a lightweight version of BERT_LARGE, fine-tuned on the SQuAD2.0 dataset for question answering systems.

A lightweight question-answering model based on MobileBERT, fine-tuned on the SQuAD v1.1 dataset, suitable for English Q&A tasks.