AIが動く。未来が更新される。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: Use this checkpoint when you want the Nemotron fine-grained label schema, but prefer the improved v2 masking behavior.
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`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: Use this checkpoint when you want the Nemotron fine-grained label schema, but prefer the improved v2 masking behavior.