Update README.md

README.md

@@ -23,14 +23,14 @@ The model "SauerkrautLM-7b-LaserChat" is a **joint effort** between **VAGO solut
 Much appreciation goes to the tremendous research effort of **Fernando Fernandes Neto, David Golchinfar and Eric Hartford on their laserRMT approach.** 
 Without their independent research collaboration this model release would not have been possible. 
 
-Fintuned with **SFT**
+- Fintuned with **SFT**
 
-Aligned with **DPO**
+- Aligned with **DPO**
 
-**Using a novel training technique** using less VRAM and prevent less forgetting of the previous model while learning new specific abilities. 
+- **Using a novel training technique** using less VRAM and prevent less forgetting of the previous model while learning new specific abilities. 
 It allows to evaluate the no free lunch theorem and make a better choice to optimize it - created by the [LaserRMT research group](https://github.com/cognitivecomputations/laserRMT)
 
-Optimized with **LaserRMT**
+- Optimized with **LaserRMT**
 
 # Table of Contents
 1. [Overview of all SauerkrautLM-7b-LaserChat models](#all-sauerkrautlm-7b-laserchat-models)