Update README.md

README.md

@@ -143,9 +143,6 @@ For instruction training, we first trained the model with Supervised Fine-tuning
 </table>
 
 ## Interfacing with the Instruct Model
-Model weights were converted from the original Mamba2 implementation to be Hugging Face compatible. <br>
-Due to the lack of official support for Mamba2 attention layers in Hugging Face Transformers, custom modeling files are included. <br>
-The attention layer implementation for the modeling files are based on the work from Pull Request #32027 in the Hugging Face Transformers repository: [https://github.com/huggingface/transformers/pull/32027](https://github.com/huggingface/transformers/pull/32027)
 
 > [!IMPORTANT]
 > To ensure optimal performance, please use the following template when interacting with the model:
@@ -199,7 +196,9 @@ The play "Romeo and Juliet" by William Shakespeare is a classic example of a tra
 ```
 
 ## Usage with HuggingFace transformers 
-Model weights were converted to be Hugging Face compatible, with custom modeling files included due to the lack of official support for Mamba2 attention layers.
+Model weights were converted from the original Mamba2 implementation to be Hugging Face compatible. <br>
+Due to the lack of official support for Mamba2 attention layers in Hugging Face Transformers, custom modeling files are included. <br>
+The attention layer implementation for the modeling files are based on the work from Pull Request #32027 in the Hugging Face Transformers repository: [https://github.com/huggingface/transformers/pull/32027](https://github.com/huggingface/transformers/pull/32027)
 
 To speed up inference, we recommend installing mamba-ssm and flash attention 2.