OpenMed
OpenMed-PII-BioClinicalModern-Large-395M-v1 is a transformer-based token classification model fine-tuned for Personally Identifiable Information (PII) detection in text. This model identifies and classifies 54 types of sensitive information including names, addresses, SSNs, medical record numbers, and more.
Running this yourself: can likely run on your own machine.
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Quality Score
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Arena ELO
396M
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
12 of 22 public signals
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19.1K
Downloads
10
Likes
Jan 2026
Released
4/5 signals
0/4 signals
3/5 signals
3/4 signals
2/4 signals
Parameters
396M
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources