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web-pentester-qwen-lora – AI Model by jabuzarqa | AlphaNeural AI

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jabuzarqa/
web-pentester-qwen-lora

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penetration-testing

defensive-security

text-generation

Qwen/Qwen2.5-1.5B-Instruct

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Web Pentester Qwen LoRA

This is a LoRA fine-tuned adapter based on Qwen/Qwen2.5-1.5B-Instruct.

Intended Use

This model is intended for authorized and defensive web security testing tasks, such as:

Summarizing web vulnerability findings
Generating pentest-style report items
Classifying severity
Writing impact and remediation recommendations
Explaining scanner outputs from authorized assessments

Safety Notice

This model should only be used for legal and authorized security testing. It should not be used to attack real systems without permission.

Output Format

The model is designed to return structured findings such as:

json

{
  "vulnerability_type": "",
  "severity": "Critical|High|Medium|Low|Info",
  "location": "",
  "impact": "",
  "evidence": "",
  "remediation": ""
}
Base Model

Base model: Qwen/Qwen2.5-1.5B-Instruct

Training Method

Fine-tuned using LoRA / PEFT.