update_readme

README.md

@@ -1,28 +1,22 @@
-# Llama-30b with LoRA Adapters
+# Vietnamese Llama-30b with LoRA Adapters
 
-[Llama-30b with LoRA Adapters]
 
-This repository contains a Llama-30b 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 Llama-30b 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
 
-The Llama-30b model is a large language model capable of generating meaningful text and can be used in a wide variety of natural language processing tasks, including text generation, sentiment analysis, and more. By using LoRA adapters, the model achieves better performance on low-resource tasks and demonstrates improved generalization.
+The Vietnamese Llama-30B model is a large language model capable of generating meaningful text and can be used in a wide variety of natural language processing tasks, including text generation, sentiment analysis, and more. By using LoRA adapters, the model achieves better performance on low-resource tasks and demonstrates improved generalization.
 
 ## Dataset and Fine-Tuning
 
 The LLaMa model was fine-tuned on over 200K instructions from various sources to improve its ability to understand and generate text for different tasks. The instruction dataset comprises data from the following sources:
-
-- Alpaca 52
-- LiMA 1K
-- Dolly 15K
-- VietHealth
-- WikiHow
-- GPT4ALL
-- VietQuAD
+Dataset is Coming Soon
 
 ## Loading the Model
 
-To load the fine-tuned Llama-30b model with LoRA adapters, follow the code snippet below:
+To load the fine-tuned Vietnamese Llama-30b model with LoRA adapters, follow the code snippet below:
 
 ```python
 import torch