Update README.md

README.md

@@ -21,8 +21,8 @@ base_model:
 Some of the best german models with 7b parameters as lasered dpo-trained dare_ties merge. 
 
 Since the original models based on mistral - three of them on the brilliant german LeoLM/leo-mistral-hessianai-7b - they are reunited in this merged model. 
-Hence the name. To improve result quality they are dpo-trained with a german translation of oaast-dpo using our german fork of [LLaMA-Factory](https://github.com/mayflower/LLaMA-Factory).
-After that this model got a [laserRMT](https://github.com/cognitivecomputations/laserRMT) treatment.
+Hence the name, no right wing or nationalistic ideas involved :-). To improve the result quality they are dpo-trained with a german translation of intel-orca-dpo using our german fork of [LLaMA-Factory](https://github.com/mayflower/LLaMA-Factory).
+After that this model got a [laserRMT](https://github.com/cognitivecomputations/laserRMT) treatment with german datasets.
 
 Wiedervereinigung-7b itself is a  [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing) merge of:
 * [DiscoResearch/DiscoLM_German_7b_v1](https://huggingface.co/DiscoResearch/DiscoLM_German_7b_v1)
@@ -63,7 +63,7 @@ dtype: bfloat16
 
 ## mt-bench-de
 
-Using laser and dpo results in pretty good results.
+Using laser and dpo results seems to help.
 
 ```json
 {