OpenAI Privacy Filter Model
Summary
OpenAI quietly released an Apache-2.0-licensed privacy-filter model on Hugging Face with open weights, aiming to help users run local privacy-preserving filters while retaining big-lab quality.
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OpenAI releases Privacy Filter, an open-weight model designed to detect and redact personally identifiable information (PII) in text with high efficiency and context awareness.
openai/privacy-filter
OpenAI releases Privacy Filter, a 1.5B parameter bidirectional token classification model for PII detection and masking, featuring an Apache 2.0 license and long-context support for high-throughput data sanitization.
@altryne: OpenAI just open sourced a new 1.5B (50m active) model on HuggingFace with Apache 2.0 license! It's not a new LLM, this…
OpenAI released a 1.5-billion-parameter PII detection model, Privacy Filter, under Apache 2.0 on HuggingFace.
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OpenAI released a 1B-parameter Apache-2.0 MoE model that strips sensitive data before it reaches any LLM, enabling fully local, leak-proof workflows.
How to build scalable web apps with OpenAI's Privacy Filter
This article demonstrates how to build scalable web applications for PII detection using OpenAI's Privacy Filter model and Gradio Server, showcasing three specific app examples like document exploration and image anonymization.