ranger
c789f2c68d
- 86 modelfiles: Full system prompt evolution V1-V42.6 (54 extracted from Ollama backup + 32 original Modelfiles) - 30 training datasets: V6-V22 training JSONs + caring awareness data - 10 Colab notebooks: Training + merge scripts - 19 evaluation files: Drift results, ASR charts, verification - 5 test suites: Injection tests, regression tests - 4 observations: V24-V33 testing results + visual summaries - 38 identity files: Claude/Gemini/Ollama identity architecture - 7 security files: Injection research, manipulation analysis - 3 psychology files: Psychology Layer, Milgram chapter, David's thoughts Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
CyberRanger
Identity-Anchored Small Language Models: A Stateful Defense Architecture against Adversarial Jailbreaking on Edge Infrastructure.
Student: David Keane (x24228257) Programme: MSc in Cybersecurity, National College of Ireland Module: AI/ML in Cybersecurity (H9AIMLC) Date: 2026
Published Resources
| Platform | Link | Description |
|---|---|---|
| Ollama | davidkeane1974/cyberranger-v42 | CyberRanger V42 model (ready to run) |
| HuggingFace | DavidTKeane/cyberranger-v42 | CyberRanger V42 model + training config |
| HuggingFace | DavidTKeane/moltbook-ai-injection-dataset | 4,209 real-world AI-to-AI injection payloads |
Licence
CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike)
See LICENSE for full details.
(c) 2026 David Keane (x24228257), National College of Ireland