Update README.md

README.md

@@ -71,7 +71,8 @@ https://github.com/omniomni-ai/omni-0-preview-models/raw/refs/heads/main/compute
 | Expert Average       | **36.28**   | **34.83**      | **32.07**       | **28.82** |
 | Base Average         | 35.59            | 29.79               | 30.86                | 22.57          |
 | Improvement          | 1.94\%           | 16.92\%             | 3.92\%               | 27.69\%        |
-> Note: Expert average refers to the average of the expert model for the STEM domain in focus while benchmarking
+> [!Note]
+> Expert average refers to the average of the expert model for the STEM domain in focus while benchmarking
 
 # Models
 Omni comes in a total of 5 models:
@@ -87,7 +88,8 @@ Omni comes in a total of 5 models:
 
 All Omni experts are finetuned from their base model: [SmolLM2 1.7B Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct) on H100/Ada 6000/A100 GPUs, improving by 25.32% on average over all tested STEM benchmarks.
 
-> This model card is for [omni-0-mini-preview](https://huggingface.co/omniomni/omni-0-mini-preview). All other models can be found on [Omni's HuggingFace page](https://huggingface.co/omniomni)
+>[!Note]
+>This model card is for [omni-0-mini-preview](https://huggingface.co/omniomni/omni-0-mini-preview). All other models can be found on [Omni's HuggingFace page](https://huggingface.co/omniomni)
 
 # Features