Update README.md

README.md

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-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.
+Bangla LLaMA is a specialized model for context-based question answering and Bengali retrieval augment generation. It is derived from LLaMA 3.2 1B 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.
 
 
 # How to Use:
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 # Disclaimer:
 
 The Bangla LLaMA model has been trained on a limited dataset, and its responses may not always be perfect or accurate. The model's performance is dependent on the quality and quantity of the data it has been trained on. Given more resources, such as high-quality data and longer training time, the model's performance can be significantly improved.
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-# Resources: 
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