Update README.md

README.md

@@ -41,15 +41,13 @@ Teeny-tiny-llama-162m is a compact language model based on the Llama 2 architect
 
 Teeny-tiny-llama has been trained by leveraging scaling laws to determine the optimal number of tokens per parameter while incorporating preference pre-training. 
 
-## Features
-
 - **Compact Design:** Teeny-tiny-llama is a downsized version of the Llama 2 architecture, making it suitable for applications with limited computational resources.
 
 - **Optimized Scaling:** The model has been pre-trained using scaling logs to identify the ideal token-to-parameter ratio.
 
 - **Custom Portuguese Dataset:** Teeny-tiny-llama has been trained on a custom Portuguese dataset. This dataset includes diverse linguistic contexts and preference pre-training, allowing the model to better cater to Portuguese language nuances and be better suited for fine-tuning tasks like instruction-tuning.
 
-- ## Details
+## Details
 
 - **Size:** 162 million parameters
 - **Dataset:** [Portuguese-Corpus-v3](https://huggingface.co/datasets/nicholasKluge/portuguese-corpus-v3)