---
license: apache-2.0
language:
- en
metrics:
- accuracy
tags:
- mamba
- security
- cybersec
- threat
---


# CyberSec-Mamba-Chat

![CyberSec-Mamba-Chat](path/to/image.png) <!-- Replace 'path/to/image.png' with the actual path to your image -->

## Description

CyberSec-Mamba-Chat, hosted in the Hugging Face repository under [venkycs/mamba-2.8b-cybersec](https://huggingface.co/venkycs/mamba-2.8b-cybersec), is a fine-tuned version of the innovative Mamba-Chat model by HavenHQ. Specialized for cybersecurity applications, it leverages the state-space model architecture of Mamba-2.8B, developed by Albert Gu and Tri Dao, to deliver precise and context-aware responses in the cybersecurity domain.

## Usage

Interact with CyberSec-Mamba-Chat through an accessible Colab notebook for immediate testing and application:

- [Inference on Colab](https://huggingface.co/venkycs/mamba-2.8b-cybersec/blob/main/inference_mamba_security.ipynb)

This notebook provides a straightforward method for users to interact with the model, ensuring a smooth experience in the field of cybersecurity.

## Observation

CyberSec-Mamba-Chat demonstrates remarkable efficiency in domain-specific responses. Excelling in cybersecurity contexts, it delivers highly relevant and accurate answers. An ongoing assessment is being conducted on its performance in balancing specialized knowledge with general applicability.

## Acknowledgement

This model is a fine-tuned version of HavenHQ's Mamba-Chat model. We express our gratitude to HavenHQ and the original authors, Albert Gu and Tri Dao, for their pioneering work in AI language modeling.

## License

CyberSec-Mamba-Chat is made available under the Apache 2.0 License. This license supports open-source distribution while providing necessary freedoms for users and developers.