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--- |
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license: apache-2.0 |
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language: |
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- en |
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metrics: |
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- accuracy |
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tags: |
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- mamba |
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- security |
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- cybersec |
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- threat |
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--- |
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# CyberSec-Mamba-Chat |
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 <!-- Replace 'path/to/image.png' with the actual path to your image --> |
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## Description |
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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. |
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## Usage |
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Interact with CyberSec-Mamba-Chat through an accessible Colab notebook for immediate testing and application: |
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- [Inference on Colab](https://huggingface.co/venkycs/mamba-2.8b-cybersec/blob/main/inference_mamba_security.ipynb) |
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This notebook provides a straightforward method for users to interact with the model, ensuring a smooth experience in the field of cybersecurity. |
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## Observation |
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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. |
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## Acknowledgement |
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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. |
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## License |
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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. |
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