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doss1232/Offensive-Qwen-2.5-Coder-7B
Offensive-Qwen-2.5-Coder-7B is a machine learning model from doss1232. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
- Developed by: doss1232 - License: apache-2.0 - Finetuned from model : unsloth/qwen2.5-coder-7b-instruct-bnb-4bit
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Updated Jan 26, 2025
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From the Hugging Face model README
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Offensive-Qwen2.5-Coder-7b is a fine-tuned Qwen-2.5-Coder-7b model and a part of Offensive-Engine, a collection of models fine-tuned for cybersecurity. It is train using the methods in Automating Code Review Activities by Large-Scale Pre-training paper. Which means, it is suitable for code review and static analysis tasks, while still maintain coding capability. Additionally, the model is further fine-tuned to find vulnerability in code, making it great for pentester and security professionals to use.
This model will be use for Auto-Pentest Framework.
Auto-Pentest is Agent system, built with Langchain to automate pentesting and web testing. It is designed to work in corporation's source code, where security and confidentiality are preserverd.