Bielik Guard: Efficient Polish Language Safety Classifiers for LLM Content Moderation

Researchers have developed Bielik Guard, a family of compact Polish language safety classifiers, in a paper submitted to arXiv on February 7, 2026, addressing the growing need for efficient content moderation tools as Large Language Models become more prevalent in Polish applications. The paper introduces two model variants: a smaller 0.1 billion parameter model based on MMLW-RoBERTa-base and a larger 0.5 billion parameter model based on PKOBP/polish-roberta-8k, both fine-tuned on community-annotated data to enhance their effectiveness in identifying potentially harmful content. This development comes at a critical time as Polish language applications increasingly incorporate LLMs, creating an urgent need for specialized content moderation tools that can understand the nuances of the Polish language and cultural context. The compact nature of these models makes them particularly suitable for deployment in various applications without requiring the substantial computational resources that larger models typically demand, potentially democratizing access to effective content moderation for Polish-speaking communities.