Smart-LLaMA: Two-Stage Post-Training of Large Language Models for Smart Contract Vulnerability Detection and Explanation

Smart-LLaMA is an advanced smart contract vulnerability detection and explanation system built upon the LLaMA-3.1-8B model. This project aims to enhance smart contract security by leveraging advanced large language models for efficient vulnerability detection and detailed explanation generation. This repository contains the code and datasets associated with the research paper.