Update README.md

README.md

@@ -24,7 +24,9 @@ inference:
     max_new_tokens: 1024
 
 ---
-## QLoRA weights using Llama-2-7b for the Code Alpaca Dataset
+# QLoRA weights using Llama-2-7b for the Code Alpaca Dataset
+
+# Fine-Tuning on Predibase
 
 This model was fine-tuned using [Predibase](https://predibase.com/), the first low-code AI platform for engineers.
 I fine-tuned base Llama-2-7b using LoRA with 4 bit quantization on a single T4 GPU, which cost approximately $3 to train
@@ -34,6 +36,8 @@ Dataset and training parameters are borrowed from: https://github.com/sahil28011
 but all of these parameters including DeepSpeed can be directly used with [Ludwig](https://ludwig.ai/latest/), the open-source
 toolkit for LLMs that Predibase is built on.
 
+# How To Use The Model
+
 To use these weights:
 ```python
 from peft import PeftModel, PeftConfig