Update README.md

README.md

@@ -63,7 +63,7 @@ TeenyTinyLlama is a compact language model based on the Llama 2 architecture ([T
   - `version`: "gemm"
   - `zero_point`: True
 
-This repository has the [source code](https://github.com/Nkluge-correa/Aira) used to train this model. The main libraries used are:
+This repository has the [source code](https://github.com/Nkluge-correa/TeenyTinyLlama) used to train this model. The main libraries used are:
 
 - [Transformers](https://github.com/huggingface/transformers)
 - [PyTorch](https://github.com/pytorch/pytorch)
@@ -112,9 +112,9 @@ These are the main arguments used in the training of this model:
 
 The primary intended use of TeenyTinyLlama is to research the behavior, functionality, and limitations of large language models. Checkpoints saved during training are intended to provide a controlled setting for performing scientific experiments. You may also further fine-tune and adapt TeenyTinyLlama-460m for deployment, as long as your use is in accordance with the Apache 2.0 license. If you decide to use pre-trained TeenyTinyLlama-460m as a basis for your fine-tuned model, please conduct your own risk and bias assessment. 
 
-## Basic usage
+## Basic Usage
 
-**Note: The use of quantized models required the installation of `autoawq==0.1.7`. A GPU is required to run the AWQ-quantized models.**
+**Note: Using quantized models required the installation of `autoawq==0.1.7`. A GPU is required to run the AWQ-quantized models.**
 
 Using the `pipeline`: