---
title: WhiteRabbitNeo Llama 3 WhiteRabbitNeo 8B V2.0
emoji: 🚀
colorFrom: pink
colorTo: gray
sdk: streamlit
sdk_version: 1.41.1
app_file: app.py
pinned: true
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/64fbe312dcc5ce730e763dc6/D09x1B8RZP_tfYqg_rmhN.jpeg
---

# WhiteRabbitNeo Llama 3 WhiteRabbitNeo 8B V2.0 🚀

This Hugging Face Space explores the application of WhiteRabbitNeo Llama 3 WhiteRabbitNeo 8B V2.0 to advance machine learning techniques in cybersecurity. By interacting with the model, users can investigate its potential for tasks such as threat detection, vulnerability assessment, and incident response, contributing to the development of more robust and proactive security measures.

### Key improvements:

* Cybersecurity Focus: Explicitly states the project's primary goal of advancing machine learning in cybersecurity applications.
* Actionable Insights: Highlights the potential for users to gain insights into how the model can be applied to real-world security challenges.
* Clearer Purpose: Emphasizes the project's contribution to improving cybersecurity defenses.
* This refined description provides a more focused and impactful summary of your Hugging Face Space, effectively conveying its significance within the cybersecurity domain.

**Getting Started**

To play around with this Space, simply click on the "Run" button at the top. This will launch an interactive session where you can interact with the model.

**What it does**

[Provide a concise explanation of what your project does and how users can interact with it on the Space.]

**Model Details**

  * **Type:** [Specify the type of model (e.g., NLP, Computer Vision)]
  * **Framework:** [Name of the deep learning framework used (e.g., TensorFlow, PyTorch)]
  * **Size:** [Indicate the model size (e.g., parameters, FLOPs)]

**Technical Stack**

  * **Frontend:** Streamlit ([link to Streamlit documentation](https://www.google.com/url?sa=E&source=gmail&q=https://docs.streamlit.io/))
  * **Backend:** [List any backend libraries or frameworks used]

**Contributing**

We welcome contributions to this Space\! If you have any improvements or suggestions, feel free to create a pull request on the underlying GitHub repository.

### License

This Space is licensed under the [License Name] license. You can find the full license details in the `LICENSE` file.

### Stay Connected

  * [https://github.com/canstralian/WhiteRabbitNeo-Llama-3-WhiteRabbitNeo-8B-v2.0]
  * [Link to your website or blog (optional)]

### Additional Notes

  * [Include any other relevant information about your project or Space]

**Remember to replace the bracketed placeholders with your specific details.**

This README.md provides a comprehensive overview of your Hugging Face Space, including its purpose, functionality, technical details, and contribution guidelines. It also incorporates best practices for user engagement and clarity.


Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference