Update README.md

README.md

@@ -22,10 +22,10 @@ As Aloobun's model is well performing and impressive on it's own, I decided to a
 
 ### Direct Use
 
-Chat
-Conversational
-Text Generation
-Function Calling 
+- Chat
+- Conversational
+- Text Generation
+- Function Calling 
 
 ## Bias, Risks, and Limitations
 
@@ -62,9 +62,11 @@ Use at your own risk. It's a great small model, owing to the base model before t
 ### Training Procedure 
 
 [LaserRMT](https://github.com/cognitivecomputations/laserRMT) was used to refine the weights, using the 16 highest scored weights specifically by noise-to-ratio analysis.
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 This technique avoids training unnecessarily low-performng weights that can turn to garbage. By pruning these weights, the model size is decreased slightly.
 
 ![axolotl](https://github.com/OpenAccess-AI-Collective/axolotl/blob/main/image/axolotl-badge-web.png?raw=true)
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 Axolotl was used for training and dataset tokenization. 
 
 #### Preprocessing [optional]