Achieves 9 ms inference on CPU, no GPU required, enabling real-time local PII redaction?

Achieves 9 ms inference on CPU, no GPU required, enabling real-time local PII redaction.

Matches near frontier performance (F1 > 0.95) on standard PII removal benchmarks?

Matches near frontier performance (F1 > 0.95) on standard PII removal benchmarks.

Designed for computer-use data—handles text, code, and structured logs from user sessions.

Open Source

r/LocalLLaMA May 26, 2026

⚡A lightweight model removes sensitive data faster than cloud alternatives—without leaving your machine.

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Deep Dive

Reddit user u/louis3195 is working on a model to remove sensitive information from computer use data and is asking for feedback.

Key Points

Achieves 9 ms inference on CPU, no GPU required, enabling real-time local PII redaction.
Matches near frontier performance (F1 > 0.95) on standard PII removal benchmarks.
Designed for computer-use data—handles text, code, and structured logs from user sessions.

Enables real-time, private PII removal on-device, cutting cloud costs and compliance risks for enterprises.