Update README.md

README.md

@@ -15,7 +15,7 @@ C-RADIOv2 models are available in multiple sizes:
 * Base (90M parameters).
 * Large (320M parameters).
 * Huge (653M parameters).
-* Gigantic (1.8B parameters).
+* Gigantic (1.1B parameters).
 
 C-RADIOv2 was trained for 1M steps (400k more steps than v1), using inverse frequency sampling for data balancing, and [PHI Standardization](https://arxiv.org/abs/2410.01680) for teacher distribution balancing.
 
@@ -134,7 +134,7 @@ The resulting tensor will have shape `(B,D,H,W)`, as is typically seen with comp
 * https://huggingface.co/nvidia/C-RADIOv2-B
 * https://huggingface.co/nvidia/C-RADIOv2-L
 * https://huggingface.co/nvidia/C-RADIOv2-H
-* https://huggingface.co/nvidia/C-RADIOv2-G
+* https://huggingface.co/nvidia/C-RADIOv2-g
 
 # Training and Evaluation Datasets