Update README.md

README.md

@@ -29,7 +29,8 @@ The model underwent a multi-phase post-training process to enhance both its reas
 
 
 This model is part of the Llama Nemotron Collection. You can find the other model(s) in this family here: 
-[Llama-3.1-Nemotron-Nano-8B-v1](https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-8B-v1)
+- [Llama-3.1-Nemotron-Nano-8B-v1](https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-8B-v1)
+- [Llama-3.1-Nemotron-Ultra-253B-v1](https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1)
 
 This model is ready for commercial use. 
 
@@ -100,7 +101,7 @@ Llama-3.3-Nemotron-Super-49B-v1-FP8 is a general purpose reasoning and chat mode
 3. We recommend using greedy decoding for Reasoning OFF mode
 4. We have provided a list of prompts to use for evaluation for each benchmark where a specific template is required
 
-You can try this model out through the preview API, using this link: [Llama-3_3-Nemotron-Super-49B-v1-FP8](https://build.nvidia.com/nvidia/llama-3_3-nemotron-super-49b-v1-FP8).
+You can try this model out through the preview API, using this link: [Llama-3_3-Nemotron-Super-49B-v1](https://build.nvidia.com/nvidia/llama-3_3-nemotron-super-49b-v1).
 
 ## Use It with vLLM
 
@@ -176,7 +177,7 @@ These results contain both Reasoning On, and Reasoning Off. We recommend using t
 | Reasoning Mode | pass@1 |
 |--------------|------------|
 | Reasoning Off | 72.10 |
-| Reasoning Off | 71.70 |
+| Reasoning On | 71.70 |
 
 ### MATH500