---
license: mit
tags:
- llama-cpp
- gguf-my-repo
- cybersecurity
- security
- cyber
- pentest
base_model: AlicanKiraz0/SenecaLLM
language:
- en
---

<img src="https://cdn-lfs-us-1.hf.co/repos/63/66/6366d337021c5719a649fbad2ec7724b9774068db15e75244b918b4b796e0769/aa8340ce71c134a5f05871ab4c3c14196e6496be8db92b76eeafb8c88f2b664b?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27SenecaLLM.png%3B+filename%3D%22SenecaLLM.png%22%3B&response-content-type=image%2Fpng&Expires=1735281625&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTczNTI4MTYyNX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmhmLmNvL3JlcG9zLzYzLzY2LzYzNjZkMzM3MDIxYzU3MTlhNjQ5ZmJhZDJlYzc3MjRiOTc3NDA2OGRiMTVlNzUyNDRiOTE4YjRiNzk2ZTA3NjkvYWE4MzQwY2U3MWMxMzRhNWYwNTg3MWFiNGMzYzE0MTk2ZTY0OTZiZThkYjkyYjc2ZWVhZmI4Yzg4ZjJiNjY0Yj9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSomcmVzcG9uc2UtY29udGVudC10eXBlPSoifV19&Signature=jhz-YEjYlJyRhyxPDcwF6Xs7sVcvsOc9fDNCaB5L6CDR0OUl5Lt%7EYPkhrFG7KlcdLyjYOrujtL08l0ApcrImmVx%7EzIl8Kiub085kcztvwgUlZWYdstOLO%7EinbuKpjGkE%7E6OxfN6%7E3DCJUacqysqCWaqBoomUvyfUeh1iSKn-L9uA70NEdePNCd8R%7E7TcB-f6awjBaKr1QzR1yrF50ivhTmhf4ZJ32bHvSNmhuRts8aZqiUG4KogzEKDQOw500aszRTF3eavK8Oki7zq1YxUqEKqUrdOJqggdU4CrmHFRhvFeHKVq-2SfiqYZzHhKS08wW-pEpkB748pLUSnG1Mjw6w__&Key-Pair-Id=K24J24Z295AEI9" width="600" />

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) 
![X (formerly Twitter) URL](https://img.shields.io/twitter/url?url=https%3A%2F%2Fx.com%2FAlicanKiraz0) 
![YouTube Channel Subscribers](https://img.shields.io/youtube/channel/subscribers/UCEAiUT9FMFemDtcKo9G9nUQ) 

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..."

# AlicanKiraz0/SenecaLLM-Q4_K_M-GGUF
This model was converted to GGUF format from [`AlicanKiraz0/SenecaLLM`](https://huggingface.co/AlicanKiraz0/SenecaLLM) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/AlicanKiraz0/SenecaLLM) for more details on the model.

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

```bash
brew install llama.cpp

```
Invoke the llama.cpp server or the CLI.

### CLI:
```bash
llama-cli --hf-repo AlicanKiraz0/SenecaLLM-Q4_K_M-GGUF --hf-file senecallm-q4_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo AlicanKiraz0/SenecaLLM-Q4_K_M-GGUF --hf-file senecallm-q4_k_m.gguf -c 2048
```

Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.

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 AlicanKiraz0/SenecaLLM-Q4_K_M-GGUF --hf-file senecallm-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo AlicanKiraz0/SenecaLLM-Q4_K_M-GGUF --hf-file senecallm-q4_k_m.gguf -c 2048
```