XO: A Llama 3.2 3B, Unsloth-Trained Cybersecurity Expert

Model Description

XO is an instruction-fine-tuned model based on unsloth/llama-3.2-3b-instruct-nb-bnb-4bit. It is engineered to be a lightweight, efficient, and highly specialized AI assistant for cybersecurity tasks. Its small size makes it ideal for local deployment on consumer-grade hardware using tools like Ollama or LM Studio.

The model was fine-tuned using the Unsloth framework, ensuring maximum performance and minimal resource consumption from the 3B parameter architecture. This version of XO is trained on a focused, foundational dataset to provide core cybersecurity knowledge and a consistent persona in English.

Model Details

Model Type: Fine-tuned Causal Language Model
Base Model: unsloth/llama-3.2-3b-instruct-nb-bnb-4bit
Training Framework: Unsloth 🚀
Training Data: The model was trained on the foundational, English-only saberbx/X-mini-datasets. This dataset includes:
- Core knowledge adapted from the "Payloads All The Things" repository.
- An introductory Chain-of-Thought module for basic reasoning.
- A persona module to define its identity as "XO," created by "Saber."
Important Note: This model is NOT trained on the advanced, bilingual dataset and does NOT include advanced mathematical reasoning capabilities.

Capabilities & Intended Use

XO is designed to be a reliable local assistant for day-to-day cybersecurity tasks. Its primary capabilities include:

💻 Optimized for Local Deployment: Its 3B parameter size allows it to run smoothly on machines with limited VRAM, making powerful AI accessible.
🛡️ Core Cybersecurity Knowledge: Acts as an interactive encyclopedia of "Payloads All The Things," providing quick access to common payloads, commands, and checklists.
🧠 Foundational Reasoning: Capable of performing basic step-by-step analysis for common cybersecurity problems based on its Chain-of-Thought training.
👤 Consistent Persona: Always responds as "XO," the AI assistant created by "Saber," providing a consistent and predictable user experience.

Limitations and Ethical Considerations

⚠️ For Ethical & Defensive Use Only: This model is designed to empower cybersecurity professionals. Any use for malicious or illegal activities is strictly prohibited.
Limited Scope: This model's knowledge is based on its foundational English training data. It does not possess advanced or multilingual capabilities.
Potential for Hallucinations: Like all LLMs, XO can generate incorrect information. Always verify critical information with a human expert.
Bias Warning: The model may reflect biases from its training data.

Citation

If you use this model in your research or project, please cite our work:

@misc{saber_xo_3b_2024,
  author       = {Saber},
  title        = {XO: A Llama 3.2 3B, Unsloth-Trained Cybersecurity Expert},
  year         = {2025},
  publisher    = {Hugging Face},
  journal      = {Hugging Face repository},
  howpublished = {\url{https://huggingface.co/saberbx/XO}}
}