Update README.md

README.md

@@ -34,11 +34,11 @@ As of 18 Mar 2025, augmenting models with the Feedback-Edit Inference Time Scali
 
 | 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) |
 
@@ -105,7 +105,7 @@ 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-Feedback-HF"
+model_name = "nvidia/Llama-3.3-Nemotron-70B-Feedback"
 model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, device_map="auto")
 tokenizer = AutoTokenizer.from_pretrained(model_name)