Update README.md

README.md

@@ -28,15 +28,22 @@ GOVERNING TERMS: Use of this model is governed by the [NVIDIA Open Model License
 
 ## Arena Hard LeaderBoard
 
-As of 18 Mar 2025, augmenting models with the Feedback-Edit Inference Time Scaling (ITS) approach (involving this model and other related models) leads to the highest performance on Arena Hard.
+As of 18 Mar 2025, augmenting models with the Feedback-Edit Inference Time Scaling (ITS) approach leads to the highest performance on Arena Hard.
+
+The Feedback-Edit Inference Time Scaling system comprise of the following models:
+
+1. [Llama-3.3-Nemotron-70B-Feedback](https://huggingface.co/nvidia/Llama-3.3-Nemotron-70B-Feedback)
+2. [Llama-3.3-Nemotron-70B-Edit](https://huggingface.co/nvidia/Llama-3.3-Nemotron-70B-Edit)
+3. [Llama-3.3-Nemotron-70B-Select](https://huggingface.co/nvidia/Llama-3.3-Nemotron-70B-Select)
+
 
 | Model  | Arena Hard (95% CI) | 
 |:-----------------------------|:----------------|
-| Llama-3.3-Nemotron-49B-Instruct + **Feedback-Edit ITS** | **93.4 (-1.1, 1.0)** |
+| Llama-3.3-Nemotron-Super-49B-v1 + **Feedback-Edit ITS** | **93.4 (-1.1, 1.0)** |
 | Llama-3.1-Nemotron-70B-Instruct + **Feedback-Edit ITS** | 92.7 (-1.2, 0.9) |
 | o1-mini-2024-09-12          | 92.0 (-1.2, 1.0)  |   
 | o1-preview-2024-09-12         | 90.4 (-1.1, 1.3)  |
-| Llama-3.3-Nemotron-49B-Instruct | 88.3 (-1.6, 1.6) |
+| Llama-3.3-Nemotron-Super-49B-v1 | 88.3 (-1.6, 1.6) |
 | claude-3-5-sonnet-20241022     | 85.2 (-1.4, 1.6) |
 | Llama-3.1-Nemotron-70B-Instruct | 84.9 (-1.7, 1.8) |
 
@@ -102,7 +109,7 @@ This code has been tested on Transformers v4.45.0, torch v2.3.0a0+40ec155e58.nv2
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_name = "nvidia/Llama-3.3-Nemotron-70B-Select-HF"
+model_name = "nvidia/Llama-3.3-Nemotron-70B-Select"
 
 model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, device_map="auto")
 tokenizer = AutoTokenizer.from_pretrained(model_name)