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README.md

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 # Model Card for Phoenix
 
-**Phoenix** is a model trained using Direct Preference Optimization (DPO). This model is the first version, which has been trained following the process of the alignment-handbook from Huggingface. 
-In contrast to zephyr and notus this model has been trained using german instruction and dpo-data. In detail, a german translation of HuggingFaceH4/ultrachat_200k
-and HuggingFaceH4/ultrafeedback_binarized was created in addition to a series of instruction datasets. The LLM haoranxu/ALMA-13B was used for this. 
+**Phoenix** is a model trained using Direct Preference Optimization (DPO) for the german language. Its training procedure follows the process of the alignment-handbook from Huggingface. 
+In contrast to zephyr and notus this model has been trained using german instruction and dpo data. In detail, a german translation of HuggingFaceH4/ultrachat_200k
+and HuggingFaceH4/ultrafeedback_binarized were created in addition to a series of allready available instruction datasets. The LLM haoranxu/ALMA-13B was used for this. 
 While the mistral model performs really well, it is not really suitable for the german language. Therefore we have used the fantastic LeoLM/leo-mistral-hessianai-7b.
 Thanks to the new type of training, Phoenix is not only able to compete with the Mistral model from LeoLM but also **beats the Llama-70b-chat model in 2 mt-bench categories**.
 This model **wouldn't have been possible without the amazing work of Huggingface, LeoLM, openbnb, Argilla the Alma-Team and many others of the AI community**.