Update README.md

README.md

@@ -33,7 +33,7 @@ base_model:
 - **Soft Parallel Decoding**: Uses interpolation between mask and token embeddings to propagate confidence priors from previous steps.
 
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-  <img src="assets/tradeoff.png" width="90%" />
+  <img src="assets/tradeoff.png" width="100%" />
   <br>
   <em>Superior Parallelism-Accuracy Trade-off, Increased TPF with Maintained Accuracy.</em>
 </div>
@@ -43,13 +43,13 @@ base_model:
 
 | Model | Description | Source Model | Link |
 | --- | --- | --- | --- |
-| 🤖 DMax-Math-16B | Highly parallel dLLM for math and reasoning. | LLaDA-2.0-mini | [Hugging Face](https://huggingface.co/Zigeng/DMax-Math-16B) |
-| 🤖 DMax-Coder-16B | Highly parallel dLLM for code generation. | LLaDA-2.0-mini | [Hugging Face](https://huggingface.co/Zigeng/DMax-Coder-16B) |
+| 🤖 DMax-Math-16B | Highly parallel dLLM for math and reasoning. | LLaDA-2.0-mini | [HF](https://huggingface.co/Zigeng/DMax-Math-16B) |
+| 🤖 DMax-Coder-16B | Highly parallel dLLM for code generation. | LLaDA-2.0-mini | [HF](https://huggingface.co/Zigeng/DMax-Coder-16B) |
 
 | Dataset | Description | Link |
 | --- | --- | --- |
-| 📊 DMax-Math-Training-Data | Trajectories on math problems generated by LLaDA-2.0-mini | [Hugging Face](https://huggingface.co/datasets/Zigeng/DMax-LLaDA-2.0-Mini-Math-Trajectories) |
-| 📊 DMax-Code-Training-Data | Trajectories on code problems generated by LLaDA-2.0-mini | [Hugging Face](https://huggingface.co/datasets/Zigeng/DMax-LLaDA-2.0-Mini-Code-Trajectories) |
+| 📊 DMax-Math-Training-Data | Trajectories on math problems generated by LLaDA-2.0-mini | [HF](https://huggingface.co/datasets/Zigeng/DMax-LLaDA-2.0-Mini-Math-Trajectories) |
+| 📊 DMax-Code-Training-Data | Trajectories on code problems generated by LLaDA-2.0-mini | [HF](https://huggingface.co/datasets/Zigeng/DMax-LLaDA-2.0-Mini-Code-Trajectories) |
 
 
 ## 🚀 Quick Start