Update README.md

README.md

@@ -24,7 +24,7 @@ Ripple-65B Preview delivers strong results on agentic coding, scoring **80.52 on
 surpassing significantly-larger US open-weight models such as Reflection Beam 501B (**80.1**), Meta Muse Spark Open 816B (**76.4**), 
 Thinking Machines Inkling 975B (**63.8**), and NVIDIA Nemotron 3 Ultra 550B (**56.4**). 
 
-Our Preview release includes an instruction-tuned model in BF16 and NVFP4 numerics, and a BF16 base model. **This repo contains the NVFP4-MLP/BF16-attention instruction-tuned checkpoint.**
+Our Preview release includes an instruction-tuned model in BF16 and NVFP4 numerics, and a BF16 base model. **This repo contains the NVFP4 instruction-tuned checkpoint.**
 
 This is a conservative quantization of the BF16 checkpoint, using NVFP4 for the MLP layers while keeping attention in BF16.