# OpenAI Open Sources Privacy Filter Model

- Category: Flash (快讯)
- Published: 2026-04-23T11:52:00.000Z
- Source date: 2026-04-23
- HTML: https://www.88z.ai/en/news/flash-20260423-3e874ff614bb7f34
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- Other language: https://www.88z.ai/news/flash-20260423-3e874ff614bb7f34.md

OpenAI has open-sourced a privacy filter model that supports local execution to detect and edit personal identifiable information in text.

## At a glance

- The model has 1.5 billion parameters, supports 128K context, and runs locally
- Based on bidirectional token classification, it achieves a 96% F1 score in PII recognition

## The update

OpenAI has officially open-sourced the OpenAI Privacy Filter model, designed to help users detect and edit personal identifiable information within text. The model features 1.5 billion parameters, supports a context length of up to 128K, and allows for deployment in local environments. Its core utilizes a bidirectional token classification architecture, capable of accurately identifying eight common types of private data, including names, addresses, emails, phone numbers, accounts, and passwords. On the PII-Masking-300k benchmark, the model achieved an F1 score of 96%, demonstrating excellent capability in recognizing and handling privacy information, thereby providing a new open-source solution for data security.

## Sources

- [Filter](https://www.88z.ai/flash/cite/flash-20260423-3e874ff614bb7f34) (2026-04-23)

This article is an AI-assisted synthesis by 88Z AI based on the public sources below. Product claims and availability are attributed to their publishers. It does not represent independent testing or first-hand reporting.