correct mistake in readme

README.md

@@ -55,7 +55,7 @@ The LLaMA architecture, developed by Meta AI, is a family of efficient transform
 ## Random-Llama-Small Specifics
 
 This model uses random weights and:
-- Has ~1.52B parameters across 22 layers.
+- Has ~2B parameters across 22 layers.
 - Uses a 2304 hidden size and 9216 FFN size.
 - Supports 128K+ vocab tokens and bfloat16 precision.
 - Supports extended context lengths of 131,072 tokens.