SenecaLLM_x_Qwen2.5 Cybersecurity Large Model - Open-source GGUF Format for Convenient Deployment and Use

Senecallm X Qwen2.5 7B CyberSecurity Q8 0 GGUF

Developed by Nekuromento

This is a large language model for the cybersecurity domain based on the Qwen2.5-7B architecture, converted to GGUF format for use with llama.cpp.

Large Language Model EnglishOpen Source License:MIT #Cybersecurity Q&A #Penetration Testing Assistance #Low-resource Inference

Downloads 18

Release Time : 1/15/2025

Model Overview

The model specializes in cybersecurity, ethical hacking, and information security, suitable for tasks like penetration testing.

Model Features

Cybersecurity Specialization

Optimized for cybersecurity, ethical hacking, and information security domains

GGUF Format Support

Converted to GGUF format for easy integration with the llama.cpp ecosystem

Efficient Inference

Supports 8-bit quantization (Q8_0), reducing resource consumption while maintaining performance

Model Capabilities

Cybersecurity text classification

Information security Q&A

Penetration testing knowledge Q&A

Cybersecurity-related text generation

Use Cases

Cybersecurity

Security Vulnerability Analysis

Analyze described security vulnerabilities and provide professional insights

Generate professional security assessment reports

Penetration Testing Assistance

Provide technical advice and knowledge support for penetration testers

Improve testing efficiency and accuracy

Education & Research

Cybersecurity Education

Serve as an auxiliary teaching tool for cybersecurity courses

Help students understand complex security concepts

🚀 Nekuromento/SenecaLLM_x_Qwen2.5-7B-CyberSecurity-Q8_0-GGUF

This project focuses on converting a model to the GGUF format, which can be used for text - classification tasks. It is based on the AlicanKiraz0/SenecaLLM_x_Qwen2.5-7B-CyberSecurity model and is highly relevant to fields like cybersecurity, ethical hacking, and information security.

🚀 Quick Start

This model was converted to GGUF format from AlicanKiraz0/SenecaLLM_x_Qwen2.5-7B-CyberSecurity using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

✨ Features

Base Model: AlicanKiraz0/SenecaLLM_x_Qwen2.5 - 7B - CyberSecurity
Pipeline Tag: Text - classification
Relevant Tags: qwen2.5, cybersecurity, ethicalhacking, informationsecurity, pentest, llama - cpp, gguf - my - repo

Property	Details
Model Type	Text - classification
Training Data	Not specified in the original README

📦 Installation

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

💻 Usage Examples

CLI Usage

llama-cli --hf-repo Nekuromento/SenecaLLM_x_Qwen2.5-7B-CyberSecurity-Q8_0-GGUF --hf-file senecallm_x_qwen2.5-7b-cybersecurity-q8_0.gguf -p "The meaning to life and the universe is"

Server Usage

llama-server --hf-repo Nekuromento/SenecaLLM_x_Qwen2.5-7B-CyberSecurity-Q8_0-GGUF --hf-file senecallm_x_qwen2.5-7b-cybersecurity-q8_0.gguf -c 2048

Alternative Usage Steps

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL = 1 flag along with other hardware - specific flags (for ex: LLAMA_CUDA = 1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo Nekuromento/SenecaLLM_x_Qwen2.5-7B-CyberSecurity-Q8_0-GGUF --hf-file senecallm_x_qwen2.5-7b-cybersecurity-q8_0.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo Nekuromento/SenecaLLM_x_Qwen2.5-7B-CyberSecurity-Q8_0-GGUF --hf-file senecallm_x_qwen2.5-7b-cybersecurity-q8_0.gguf -c 2048

💡 Usage Tip

You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

📄 License

This project is released under the MIT license.

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