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---
base_model: unsloth/qwen2.5-coder-7b-instruct-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
- code-review
- static-analysis
license: apache-2.0
language:
- en
datasets:
- CyberNative/Code_Vulnerability_Security_DPO
---
# Uploaded model
- **Developed by:** doss1232
- **License:** apache-2.0
- **Finetuned from model :** unsloth/qwen2.5-coder-7b-instruct-bnb-4bit
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)
# 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.
# 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. |