Update README.md

README.md

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 <!-- Provide a quick summary of what the model is/does. -->
 
 SweCTRL-Mini is a large Swedish language model that can be used for inference and fine-tuning on a single consumer-grade GPU. The model is based on the CTRL architecture by Keskar, McCann, Varshney, Xiong, and Socher
-(2019), which means that users of the SweCTRL-Mini model can control the genre of the generated text by inserting special tokens in the generation prompts. Crucially, note that this model is:
-
-- **NOT** trained on following GPT-like instructions
-- **NOT** trained for conversations, like ChatGPT
-- **NOT** trained on any multi-modal data during training. Only one modality -- text, more than 99% of it in Swedish.
+(2019), which means that users of the SweCTRL-Mini model can control the genre of the generated text by inserting special tokens in the generation prompts. 
+Crucially, note that this model is: **NOT** trained on following GPT-like instructions, **NOT** trained for conversations, like ChatGPT, **NOT** trained on any multi-modal data during training. Only one modality -- text, more than 99% of it in Swedish.
 
 **Note on using Inference API (text box to the right):** There are a number of presets that start the text with appropriate control codes to control the genre, e.g., `:wiki:` for
 texts form Wikipedia. You can add your own prompt on top of these control codes. For instance, if you want a Wikipedia article about Stockholm, you could write