Update README.md

README.md

@@ -15,8 +15,8 @@ Our Mission: **GenAI for all, intelligence in every task.**
 ---
 ### 🤖 Our Model Series
 #### 🔗 Model Fusion & Model Merging
->Model fusion refers to the process of combining multiple trained models—often from different domains, architectures, or training datasets—into a single, more powerful model. The goal is to integrate their strengths and knowledge, improving performance, generalization, or efficiency.  
->Model merging is a specific type of model fusion that involves combining the internal parameters (typically weights) of two or more pretrained models to produce a single model that inherits knowledge from all sources. Unlike ensemble methods, model merging produces a single merged model rather than relying on multiple models at inference time.
+> **Model fusion** refers to the process of combining multiple trained models—often from different domains, architectures, or training datasets—into a single, more powerful model. The goal is to integrate their strengths and knowledge, improving performance, generalization, or efficiency.  
+> **Model merging** is a specific type of model fusion that involves combining the internal parameters (typically weights) of two or more pretrained models to produce a single model that inherits knowledge from all sources. Unlike ensemble methods, model merging produces a single merged model rather than relying on multiple models at inference time.
 
 - [InfiFusion](https://huggingface.co/collections/InfiX-ai/infifusion-683c7d7f00c71614ba8ceb96): **InfiFusion** is a logit-level fusion pipeline based on Universal Logit Distillation, enhanced with Top-K filtering and logits standardization. It supports both pairwise and unified fusion strategies to balance performance and efficiency.
 - [InfiGFusion](https://huggingface.co/InfiX-ai/InfiGFusion-14B): **InfiGFusion** is a structure-aware extension that builds co-activation graphs from logits and aligns them via an efficient Gromov-Wasserstein loss approximation, capturing cross-dimension semantic dependencies for stronger reasoning.