Update README.md

README.md

@@ -8,7 +8,7 @@ InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for M
 <h4 align="center">
 
 [![Arxiv](https://img.shields.io/badge/Arxiv-D14836?style=for-the-badge&logo=arxiv&logoColor=white)](https://arxiv.org/pdf/2505.13893) 
-[![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white)](https://github.com/Reallm-Labs/InfiGFusion/edit/main/README.md)
+[![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white)](https://github.com/InfiXAI/InfiGFusion)
 [![HuggingFace Paper](https://img.shields.io/badge/HuggingFace%20Paper-FF9900?style=for-the-badge&logo=huggingface&logoColor=white)](https://huggingface.co/papers/2505.13893)
 
 </h4>
@@ -25,7 +25,7 @@ InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for M
 
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-| **Developers**          | Reallm-Labs                                                                   |
+| **Developers**          | InfiX.ai                                                                   |
 | **Description**         | InfiGFusion is an open fusion model series designed to fuse multiple domain LLMs into a single LLM. It excels in multi-step and relational inference, enabling robust performance across complex reasoning tasks.|
 | **Architecture**        | 14B parameters, dense decoder-only Transformer model                          |
 | **Inputs**              | Text, best suited for prompts in the chat format                              |