# High compression ratio

This is an INT8 PyTorch model statically quantized using Intel® Neural Compressor post-training, based on Google's ViT model fine-tuning, significantly reducing model size while maintaining high accuracy.

MiniLM v2 is a lightweight language model distilled by Microsoft from RoBERTa-Large, featuring high efficiency and compactness.

An encoder-decoder model based on RoBERTa architecture, specifically designed for extreme summarization tasks, fine-tuned on the BBC XSum dataset.