README.md

---
license: mit
language:
- en
base_model:
- Qwen/Qwen2.5-Coder-7B-Instruct
pipeline_tag: text-classification
tags:
- qwen2.5
- cybersecurity
- ethicalhacking
- informationsecurity
- pentest
---

<img src="https://huggingface.co/AlicanKiraz0/SenecaLLM_x_Qwen2.5-7B-CyberSecurity-Q4_K_M-GGUF/resolve/main/SenecaLLMxqwen2.5-7B.webp" width="1000" />

Curated and trained by Alican Kiraz

[![Linkedin](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white)](https://tr.linkedin.com/in/alican-kiraz) 
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Links:
- Medium: https://alican-kiraz1.medium.com/
- Linkedin: https://tr.linkedin.com/in/alican-kiraz
- X: https://x.com/AlicanKiraz0
- YouTube: https://youtube.com/@alicankiraz0

SenecaLLM has been trained and fine-tuned for nearly one month—around 100 hours in total—using various systems such as 1x4090, 8x4090, and 3xH100, focusing on the following cybersecurity topics. Its goal is to think like a cybersecurity expert and assist with your questions. It has also been fine-tuned to counteract malicious use.

**It does not pursue any profit.**

Over time, it will specialize in the following areas:

- Incident Response
- Threat Hunting
- Code Analysis
- Exploit Development
- Reverse Engineering
- Malware Analysis

"Those who shed light on others do not remain in darkness..."





# Model Card for Model ID

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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).

## Model Details

### Model Description

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## Uses

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### Direct Use

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## How to Get Started with the Model

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## Training Details

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### Training Procedure

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#### Preprocessing [optional]

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#### Training Hyperparameters

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## Evaluation

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### Results

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#### Summary



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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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## Technical Specifications [optional]

### Model Architecture and Objective

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