Update README.md

README.md

@@ -28,6 +28,7 @@ This is a Llama 2 Fine Tuned Model with 7 Billion Parameters on the Dataset from
 In the case of Llama 2, the following Chat Template is used for the chat models: 
 
 **[INST] SYSTEM PROMPT**
+
 **User Prompt [/INST] Model Answer**
 
 System Prompt (optional) --> to guide the model
@@ -38,8 +39,11 @@ Model Answer (required)
 
 ## Training Data
 The Instruction Dataset is reformated to follow the above Llama 2 template.
-**Original Dataset** --> https://huggingface.co/datasets/timdettmers/openassistant-guanaco
+
+**Original Dataset** --> https://huggingface.co/datasets/timdettmers/openassistant-guanaco\
+
 **Reformated Dataset with 1K Samples** -->  https://huggingface.co/datasets/mlabonne/guanaco-llama2-1k
+
 **Complete Reformated Datset** --> https://huggingface.co/datasets/mlabonne/guanaco-llama2
 
 To drastically reduce the VRAM usage, we must fine-tune the model in 4-bit precision, which is why we’ll use QLoRA here and the GPU on which the model was fined tuned on was **L4 (Google Colab Pro)**