Update README.md

README.md

@@ -2,13 +2,47 @@
 license: mit
 language:
 - en
-base_model: AlicanKiraz0/SenecaLLM_x_Qwen2.5-7B-CyberSecurity
+base_model:
+- Qwen/Qwen2.5-Coder-7B-Instruct
 pipeline_tag: text-classification
 tags:
-- llama-cpp
 - gguf-my-repo
+- pentest
+- cybersecurity
+- ethicalhacking
+- informationsecurity
 ---
 
+<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) 
+![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_x_Qwen2.5-7B-CyberSecurity-Q8_0-GGUF
 This model was converted to GGUF format from [`AlicanKiraz0/SenecaLLM_x_Qwen2.5-7B-CyberSecurity`](https://huggingface.co/AlicanKiraz0/SenecaLLM_x_Qwen2.5-7B-CyberSecurity) 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_x_Qwen2.5-7B-CyberSecurity) for more details on the model.
@@ -51,4 +85,4 @@ Step 3: Run inference through the main binary.
 or 
 ```
 ./llama-server --hf-repo AlicanKiraz0/SenecaLLM_x_Qwen2.5-7B-CyberSecurity-Q8_0-GGUF --hf-file senecallm_x_qwen2.5-7b-cybersecurity-q8_0.gguf -c 2048
-```
+```