Update README.md

Author: iseeyuan

examples/models/llama2/README.md

@@ -98,17 +98,21 @@ If you want to finetune your model based on a specific dataset, PyTorch provides
 
 Once you have [TorchTune installed](https://github.com/pytorch/torchtune?tab=readme-ov-file#get-started) you can finetune Llama2 7B model using LoRA on a single GPU, using the following command. This will produce a checkpoint where the LoRA weights are merged with the base model and so the output checkpoint will be in the same format as the original Llama2 model.
 
-
+```
 tune run lora_finetune_single_device \
 --config llama2/7B_lora_single_device \
 checkpointer.checkpoint_dir=<path_to_checkpoint_folder>  \
 tokenizer.path=<path_to_checkpoint_folder>/tokenizer.model
+```
+
 To run full finetuning with Llama2 7B on a single device, you can use the following command.
 
+```
 tune run full_finetune_single_device \
 --config llama2/7B_full_single_device \
 checkpointer.checkpoint_dir=<path_to_checkpoint_folder> \
 tokenizer.path=<path_to_checkpoint_folder>/tokenizer.model
+```
 
 ## Step 3: Evaluate model accuracy