Update README.md

README.md

@@ -26,13 +26,14 @@ This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unsloth
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
 
 # Model information
-Offensive-Qwen2.5-Coder-7b is a fine-tuned Qwen-2.5-Coder-7b model. It is train using the methods in **Automating Code Review Activities by Large-Scale Pre-training** paper. 
+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.
 
 # Further improvment
-This model will be use for Offensive-GenAI Framework.
+This model will be use for Auto-Pentest Framework.
 
 ## Offensive-GenAI Framwork
-Offensive-GenAI is Agent system, built by Langchain to automate pentesting and web testing.
+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.