privacy filter nemotron v2 OpenMed/privacy filter nemotron v2 is the second generation Nemotron schema checkpoint in the OpenMed privacy filter family. It keeps the same fine grained 55 category PII vocabulary as OpenMed/privacy filter nemotron , while using a broader training mix and a more recall oriented adaptation recipe. In practice, this v2 checkpoint should perform better as a general PII masking and redaction model while preserving the useful typed labels from the original Nemotron model. The model is based on openai/privacy filter , a 1.4B parameter MoE token classifier with roughly 50M active parameters per token. It predicts 221 BIOES token classes: O 55 PII categories encoded as B , I , E , and S Use this checkpoint when you want the Nemotron fine grained label schema, but prefer the improved v2 masking behavior. Relationship To The Original Nemotron Model This model is a direct successor to OpenMed/privacy filter nemotron . Same base architecture: openai/privacy filter Same core label schema: 55 fine grained Nemotron style PII categories Same output format: BIOES token classification Broader adaptation data: Nemotron style fine labels plus additional PII masking exampl…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy