Update README.md

README.md

@@ -1,7 +1,7 @@
 # Vietnamese Llama2-7B 8k Context Length with LoRA Adapters
 
 
-This repository contains a Llama-7B model fine-tuned with QLoRA (Quantization Low-Rank Adapter) adapters. The adapter is a plug-and-play tool that enables the LLaMa model to perform well in many Vietnamese NLP tasks.
+This repository contains a Vietnamese Llama2-7B model fine-tuned with QLoRA (Quantization Low-Rank Adapter) adapters. The adapter is a plug-and-play tool that enables the LLaMa model to perform well in many Vietnamese NLP tasks.
 Project Github page: [Github](https://github.com/VietnamAIHub/Vietnamese_LLMs)
 ## Model Overview
 
@@ -14,7 +14,7 @@ Dataset link: Comming soon
 
 ## Testing the Model by yourself.
 
-To load the fine-tuned Llama-7B model with LoRA adapters, follow the code snippet below:
+To load the fine-tuned Llama2-7B model with LoRA adapters, follow the code snippet below:
 
 ```python
 import torch
@@ -109,4 +109,4 @@ print(output)
 
 ## Conclusion
 The Vietnamese Llama2-7B with LoRA adapters is a versatile language model that can be utilized for a wide range of NLP tasks in Vietnamese. We hope that researchers and developers find this model useful and are encouraged to experiment with it in their projects.
-For any questions, feedback, or contributions, please feel free to contact the maintainers of this repository TranNhiem 🙌: [Linkedin](https://www.linkedin.com/in/tran-nhiem-ab1851125/) [Twitter](https://twitter.com/TranRick2) [Facebook](https://www.facebook.com/jean.tran.336), Project [Discord](https://discord.gg/MC3yDZNz). Happy fine-tuning and experimenting with the Llama-30b model!
+For any questions, feedback, or contributions, please feel free to contact the maintainers of this repository TranNhiem 🙌: [Linkedin](https://www.linkedin.com/in/tran-nhiem-ab1851125/) [Twitter](https://twitter.com/TranRick2) [Facebook](https://www.facebook.com/jean.tran.336), Project [Discord](https://discord.gg/MC3yDZNz). Happy fine-tuning and experimenting with the Llama2-7B model!