Leveraging Quantized Large Language Models for Accurate Automatic Grading and Feedback Generation

Quantized LLaMA-2 models can be effectively fine-tuned to achieve high accuracy in automatically assigning grades to short answers and essays, as well as generating feedback that closely aligns with expert evaluations.