JoasASantos/Offensive-Security-AI-Models
Uncensored AI models or those fine-tuned for cybersecurity tasks.
About the project
A curated list of open-weight uncensored LLMs fine-tuned for cybersecurity tasks such as red teaming, penetration testing and security research. Each entry lists base model, size, context, VRAM and uncensoring method.
Useful for
- Pick a local pentest model by VRAM budget and context length
- Download GGUF weights of a security model to run locally
- Compare uncensoring methods (SFT, abliteration, LoRA) across models
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 19 stars so far today, about 52 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 1 day old and already has 81 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #179.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 81
- Today
- 19 · ≈ 52 by evening
- Forks
- 3
- Issues and pull requests
- 0
- Watchers
- 0
- Created
- September 27, 2026
- Last push
- September 27, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 28, 2026Top new repositories this week: #179
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