Mark Matviyiv
Add 4 trained guardrail classifier variants (ACD/RAD × mDeBERTa-v3/Ukr-RoBERTa)
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RESTRICTED RESEARCH LICENSE
Version 1.0, 2026
Copyright (c) 2026 Markiian Matviiv, Ukrainian Catholic University
In partnership with the Ministry of Digital Transformation of Ukraine
1. PREAMBLE
These model weights ("Ukrainian LLM Guardrails") are machine learning
artifacts trained on synthetic adversarial data for the protection of
Ukrainian sovereign digital infrastructure. Given the sensitive nature of
the underlying threat models and the potential for misuse, access is
strictly controlled.
2. GRANT OF RIGHTS
Subject to compliance with all terms herein, the Licensor grants you a
non-exclusive, non-transferable, royalty-free license to:
a) Access and use the model weights solely for academic research,
defensive security research, or educational purposes;
b) Run inference or fine-tune the models for safety classification
and content moderation tasks;
c) Publish research findings that reference these models, provided
that the model weights themselves are not redistributed or made
publicly available.
3. RESTRICTIONS
You may NOT, without prior written approval from the Ministry of Digital
Transformation of Ukraine:
a) Use the models for any commercial, military, or intelligence
application;
b) Redistribute, sublicense, sell, or otherwise transfer the model
weights or substantial portions thereof to third parties;
c) Use the models to develop, improve, or benchmark offensive tools,
including but not limited to jailbreak generators, prompt injection
frameworks, or adversarial attack methodologies;
d) Publicly disclose or publish model outputs, generated rationales,
or internal representations outside of aggregated statistical
analyses;
e) Remove or obfuscate attribution to the Ministry of Digital
Transformation of Ukraine and Ukrainian Catholic University.
4. DUAL-USE AND ETHICAL OBLIGATIONS
These models classify adversarial content designed to test safety
boundaries. By accessing them, you acknowledge that:
a) The classification outputs are provided strictly for defensive
guardrailing and must not be used to bypass or undermine existing
safety systems;
b) Any models derived from these weights should be deployed exclusively
for content moderation, guardrailing, or threat detection purposes;
c) You will report any unintended harmful use or security
vulnerabilities discovered through this research to the Licensor
within 30 days.
5. ATTRIBUTION
Any publication, presentation, or derivative work based on these models
must include the following citation:
Matviiv, M. (2026). Efficient Guardrailing for the Ukrainian LLM
via Reasoning Distillation. Master's Thesis, Ukrainian Catholic
University. Models provided in partnership with the Ministry of
Digital Transformation of Ukraine.
6. TERMINATION
This license automatically terminates if you violate any of the terms
herein. Upon termination, you must destroy all copies of the model
weights and cease all use immediately.
7. DISCLAIMER
THE MODEL WEIGHTS ARE PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NONINFRINGEMENT.
THE LICENSOR SHALL NOT BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER
LIABILITY ARISING FROM THE USE OF THE MODEL WEIGHTS.