Update README.md

README.md

@@ -6,8 +6,12 @@ license: apache-2.0
 This is unsloth/llama-3-8b-Instruct trained on the Replete-AI/code-test-dataset using the code bellow with unsloth and google colab with under 15gb of vram. This training was complete in about 40 minutes total.
 
 Copy from my announcement in my discord:
-```json
-If anyone wants to train their own llama-3-8b model for free on any dataset that has around 1,500 lines of data or less you can now do it easily by using the code I provided in the model card for my test model in this repo and google colab. The training for this model uses (Unsloth + Qlora + Galore) to achieve the ability for training under such low vram. 
+```
+If anyone wants to train their own llama-3-8b model for free on any dataset
+ that has around 1,500 lines of data or less you can now do it easily by using
+ the code I provided in the model card for my test model in this repo and
+ google colab. The training for this model uses (Unsloth + Qlora + Galore) to
+ achieve the ability for training under such low vram. 
 ```
 
 For anyone that is new to coding and training Ai, all your really have to edit is
@@ -85,6 +89,7 @@ model = FastLanguageModel.get_peft_model(
 ```
 
 ```Python
+
 alpaca_prompt = """<|begin_of_text|><|start_header_id|>system<|end_header_id|>
 
 Below is an instruction that describes a task, Write a response that appropriately completes the request.<|eot_id|><|start_header_id|>user<|end_header_id|>