Update README.md

README.md

@@ -43,7 +43,7 @@ To ensure the quality and diversity of the training examples, we applied rigorou
 
 One of the key challenges in training MilkDropLM was handling the unique syntax and structure of the MilkDrop scripting language. To address this, we trained on top of the nimble yet powerful Qwen-Coder-7b-Instuct model. This allowed us to build from the strong foundation of Qwen’s powerful language and programming capabilities.
 
-Furthermore, to maximize the utility of MilkDropLM, we ensured that the model’s output follows the correct formatting.The presets generated by MilkDropLM are presented in markdown code blocks, making them easy to read, edit, and integrate into various projects. This aspect ensures that users can seamlessly incorporate MilkDropLM into their workflows without any hassle.
+Furthermore, to maximize the utility of MilkDropLM, we ensured that the model’s output follows the correct formatting. The presets generated by MilkDropLM are presented in markdown code blocks, making them easy to read, edit, and integrate into various projects. This aspect ensures that users can seamlessly incorporate MilkDropLM into their workflows without any hassle.
 
 ## Original Model Weights
 - [BF16](https://huggingface.co/InferenceIllusionist/MilkDropLM-7b-v0.3) - Full Precision, not required if running inference only