---
base_model:
- Qwen/QwQ-32B-Preview
license: apache-2.0
language:
- en
pipeline_tag: text-classification
tags:
- Vulnerability Detection
- Security
---

# LLMxCPG-D

## Model Description:

LLMxCPG-D is a highly effective vulnerability detection model. It is a fine-tuned version of the QwQ-32B-Preview model, optimized for a binary classification task.

This model is the second phase of the LLMxCPG framework. It takes as input a concise code slice that has been generated by the LLMxCPG-Q model and the Joern static analysis tool. The model then classifies this code slice as either 'VULNERABLE' or 'SAFE'.

## How it Works:

By focusing on small, vulnerability-relevant code slices rather than entire codebases, LLMxCPG-D can make more accurate and robust predictions. This approach significantly reduces noise and allows the model to learn the fundamental characteristics of vulnerabilities, leading to superior performance on a variety of datasets.

## GitHub Repository:
For more information, please visit the official GitHub repository: [https://github.com/qcri/llmxcpg](https://github.com/qcri/llmxcpg)