OpenAI has just introduced a groundbreaking model named Privacy Filter. This model boasts an impressive 150 million parameters and incorporates a Mixture of Experts (MoE) architecture. The model is now available as open-source on both Hugging Face and GitHub, licensed under the Apache 2.0 agreement. The true prowess of this model lies in its sophisticated language comprehension abilities. It can accurately pinpoint sensitive information within unstructured text by conducting a contextual analysis. Moreover, it supports a context window that can accommodate up to 128,000 tokens. On the PII-Masking-300k benchmark, the model achieved outstanding F1 scores. Notably, its performance was further enhanced after rectifying annotation discrepancies. However, it's crucial to clarify that this model is not intended to serve as an anonymization tool and cannot substitute for compliance certifications. In scenarios involving highly sensitive data, manual review remains essential. Furthermore, the model's compatibility with local devices offers an added layer of user privacy protection.