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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Introducing OpenAI Privacy Filter
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.
@iotcoi: OpenAI trained the perfect LLM to hide data from OpenAI openai/privacy-filter Apache 2.0, 1B params MoE, runs local My …
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.
@hank_aibtc: Holy crap, OpenAI finally did something good!!! The first open-source model of 2026 is here – Privacy Filter, released under Apache 2.0! A 1.5B parameter PII detection tool, specifically for redacting names, addresses, phone numbers, emails, IDs, etc. from text…
OpenAI open-sourced the Privacy Filter model (1.5B parameters, Apache 2.0), which runs locally in the browser via WebGPU to detect personal information without uploading data, protecting privacy.