105 2 months ago

This model is pre tunned for Cyber Security and Ethical Hacking guidance use it at cases also data train is not wide but limited to its context so it will generate payloads and execute tools also guide it thoroughly .

ollama run ruturaj04/ruturajai

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ruturajai (phi3-custom)

A customized Phi-3โ€“based assistant tuned for ethical hacking, cybersecurity learning, and structured technical guidance.

This model is built on top of the Phi-3 architecture and configured via Ollama to provide precise, no-nonsense responses focused on security concepts and responsible use.


๐Ÿ”ง Base Model

  • Base: phi3

  • Framework: Ollama

  • Customization: System prompt tuning (behavioral specialization)

  • Focus Areas:

    • Ethical hacking fundamentals
    • Cybersecurity best practices
    • Security testing methodology
    • Defensive security guidance
    • Technical troubleshooting

๐ŸŽฏ Purpose

ruturajai is designed to:

  • Provide structured cybersecurity explanations
  • Assist with ethical security research
  • Help learners understand security concepts
  • Encourage responsible and legal security practices
  • Deliver concise, technical answers without fluff

This is not a general-purpose chat model โ€” it is optimized for technical and security-focused workflows.


โš™๏ธ Usage

Pull the model

ollama pull ruturaj04/ruturajai

Run the model

ollama run ruturaj04/ruturajai

๐Ÿง  Behavior Design

The model is configured to:

  • Prefer structured outputs
  • Avoid unnecessary verbosity
  • Focus on practical security knowledge
  • Promote ethical and legal usage
  • Maintain a professional technical tone

๐Ÿšง Limitations

Be realistic:

  • This is not fully fine-tuned training
  • Knowledge still depends on the base Phi-3 weights
  • For domain-specific documents, consider adding a RAG pipeline
  • Performance depends on your local hardware

๐Ÿ” Responsible Use

This model is intended strictly for educational and defensive security purposes.

Users are responsible for:

  • Following applicable laws
  • Respecting authorization boundaries
  • Using security knowledge ethically

Misuse is strongly discouraged.


๐Ÿ“Œ Future Improvements (Planned)

  • RAG integration for private knowledge bases
  • Optional LoRA fine-tuning
  • Performance optimization
  • Expanded security domain coverage

๐Ÿ‘ค Author

Ruturaj Ollama: ruturaj04


โญ Support

If this model helps your workflow, consider starring the repo or contributing improvements.