Update README.md

README.md

@@ -66,7 +66,7 @@ Zamba2-1.2B utilizes and extends our original Zamba hybrid SSM-attention archite
 
 ## Performance
 
-Zamba2-1.2B achieves leading and state-of-the-art performance among models of <3B parameters and is competitive with some models of significantly greater size. Moreover, due to its unique hybrid SSM architecture, Zamba2-1.2B achieves extremely low inference latency and rapid generation with a significantly smaller memory footprint than comparable transformer based models. 
+Zamba2-1.2B achieves leading and state-of-the-art performance among models of <2B parameters and is competitive with some models of significantly greater size. Moreover, due to its unique hybrid SSM architecture, Zamba2-1.2B achieves extremely low inference latency and rapid generation with a significantly smaller memory footprint than comparable transformer based models. 
 
 Zamba2-1.2B's high performance and small inference compute and memory footprint renders it an ideal generalist model for on-device applications.