Update README.md

README.md

@@ -42,23 +42,14 @@ private: true
 
 # 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:
+`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.
+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