Update README.md

README.md

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 This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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+# Model information
+- 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 version of the model is quantized in 16bit and can be use with lmstudio.
+# Further improvment
+- This model will be use for Auto-Pentest Framework.
+
+## Offensive-GenAI Framwork
+- 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.