metadata
license: mit
base_model:
- Qwen/QwQ-32B
pipeline_tag: text-generation
library_name: transformers
tags:
- cybersecurity
- ethicalhacking
- informationsecurity
- pentest
- code
- applicationsecurity
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..."