privacy-filter-multilingual-GGUF is an open-weight multilingual token-classification model distributed in GGUF format. It detects and supports redaction of personally identifiable information for local applications and inference runtimes such as llama.cpp and LocalAI.
In the Other AI space, Privacy Filter Multilingual takes a focused approach. It focuses on detecting and redacting personally identifiable information locally across multiple languages. Privacy Filter Multilingual is an open-source project aimed at developers building privacy-aware local AI applications. The project is open source (MIT). Privacy Filter Multilingual is available on the command line, and it can be self-hosted.
LocalAI-io builds and maintains Privacy Filter Multilingual, and it first shipped in 2026. Development happens publicly on GitHub with 286 stars and 44 commits in the last 90 days. Key capabilities include PII detection, privacy redaction, and multilingual support.
Summary written by a language model from the project’s public pages.
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