README.md

---
license: cc-by-nc-sa-4.0
language:
- en
tags:
- unsloth
- llama-3.2
- 3b
- cybersecurity
- instruction-tuning
- conversational-ai
- penetration-testing
- chain-of-thought
- gguf
- ollama
base_model: unsloth/llama-3.2-3b-instruct-nb-bnb-4bit
---

![X.jpeg.png](https://cdn-uploads.huggingface.co/production/uploads/6635421d64f6d7cc44ef9513/hVvWM4-STNhfTaTbgcix2.png)

# 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](https://huggingface.co/unsloth/llama-3.2-3b-instruct-nb-bnb-4bit)
*   **Training Framework:** [Unsloth](https://github.com/unslothai/unsloth) 🚀
*   **Training Data:** The model was trained on the foundational, English-only **[`saberbx/X-mini-datasets`](https://huggingface.co/datasets/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:

```bibtex
@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}}
}