Update README.md

README.md

@@ -15,11 +15,11 @@ datasets:
 - iamshnoo/alpaca-cleaned-bengali
 ---
 
-Bangla LLaMA is a specialized model for context-based question answering and Bengali retrieval augment generation. It is derived from LLaMA 3 7B and trained on the iamshnoo/alpaca-cleaned-bengali dataset. This model is designed to provide accurate responses in Bengali with relevant contextual information. It is integrated with the transformers library, making it easy to use for context-based question answering and Bengali retrieval augment generation in projects.
+Bangla LLaMA is a specialized model for context-based question answering and Bengali retrieval augment generation. It is derived from LLaMA 3 8B and trained on the iamshnoo/alpaca-cleaned-bengali dataset. This model is designed to provide accurate responses in Bengali with relevant contextual information. It is integrated with the transformers library, making it easy to use for context-based question answering and Bengali retrieval augment generation in projects.
 
 # Model Details:
 
-- Model Family: Llama 3 7B
+- Model Family: Llama 3 8B
 - Language: Bengali
 - Use Case: Context-Based Question Answering, Bengali Retrieval Augment Generation
 - Dataset: iamshnoo/alpaca-cleaned-bengali (51,760 samples)