LLM & ChatActive
AlicanKiraz0 / SenecaLLM-x-QwQ-32B-Q8_Max-Version
SenecaLLM-x-QwQ-32B-Q8_Max-Version
Mixed dataset LLM Information Security v1.5 - Incident Response v1.3.1 - Threat Hunting v1.3.2 - Ethical Exploit Development v2.0 - Purple Team Tactics v1.3 - Reverse Engineering v2.0
Finetuned by Alican Kiraz
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
With the release of the new Qwen QwQ-32B, I quickly began training SenecaLLM v1.4 based on this model. During training:
- About 30 hours on BF16 with 4×H200
It does not pursue any profit.
With the new dataset I’ve prepared, it can produce quite good outputs in the following areas:
- Information Security v1.5
- Incident Response v1.3.1
- Threat Hunting v1.3.2
- Ethical Exploit Development v2.0
- Purple Team Tactics v1.3
- Reverse Engineering v2.0
"Those who shed light on others do not remain in darkness..."
Example prompts
Great starting points for SenecaLLM-x-QwQ-32B-Q8_Max-Version.
What are the critical steps in a penetration testing process for a web application?LLM & Chat
What are the differences between symmetric and asymmetric encryption methods?LLM & Chat
How does a Distributed Denial of Service (DDoS) attack work and how can it be mitigated?LLM & Chat
What is SQL Injection and how can developers protect applications against it?LLM & Chat
How does multi-factor authentication (MFA) enhance cybersecurity compared to single-factor authentication?LLM & Chat
API quick start
Run SenecaLLM-x-QwQ-32B-Q8_Max-Version with a single API call.
{
"prompt": "What are the critical steps in a penetrat…",
"user_id": "...",
"session_id": "...",
"system_prompt": "You are a helpful, respectful and honest …"
}