Update README.md

README.md

@@ -10,7 +10,7 @@ library_name: timm
 
 # Model Card for Model ID
 
-Based on quasi-linear hyperbolic systems of PDEs, the QLNet enters an uncharted water of the model space for ConvNets that uses multiplication (of same-sized tensors) instead of ReLU as the nonlinearity. It achieves comparable accuracy as ResNet50 on ImageNet-1k, demonstrating that it has the same level of capacity/expressivity, and deserves more study (hyper-paremeter tuning, optimizer, etc.) that I alone am not able to do.
+Based on **quasi-linear hyperbolic systems of PDEs**, the QLNet enters an uncharted water of ConvNet model space marked by the use of multiplication (of same-sized tensors) instead of ReLU as the primary nonlinearities. It achieves comparable accuracy as ResNet50 on ImageNet-1k, demonstrating that it has the same level of capacity/expressivity, and deserves more study (hyper-paremeter tuning, optimizer, etc.) by the broader community.
 
 *This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).*