Update README.md

README.md

@@ -11,11 +11,11 @@ base_model:
 library_name: transformers
 ---
 
-# Model Card for {{MODEL_NAME_HERE}}
+# Model Card for Llama-3.1-70B-Instruct-RM-RB2
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-{{MODEL_NAME_HERE}} is one of 7 sets of reward models (RMs) released with Reward Bench 2.
+Llama-3.1-70B-Instruct-RM-RB2 is one of 7 sets of reward models (RMs) released with Reward Bench 2.
 We have released a large set of 70 total reward model checkpoints that we used to develop the benchmark and correlate it with downstream PPO / Best-of-N performance.
 
 [Models](https://huggingface.co/collections/allenai/reward-bench-2-683d2612a4b3e38a3e53bb51) | [Code](https://github.com/allenai/reward-bench) |  [Eval. Dataset v2](https://huggingface.co/datasets/allenai/reward-bench-2) | [Results v2](https://huggingface.co/datasets/allenai/reward-bench-2-results) | [Paper](https://github.com/allenai/reward-bench/blob/main/paper-v2.pdf)
@@ -44,7 +44,7 @@ rm = AutoModelForSequenceClassification("allenai/Llama-3.1-70B-Instruct-RM-RB2",
 - **Training code:** https://github.com/allenai/open-instruct
 - **Language(s) (NLP):** en
 - **License:** Llama 3.1 Community License Agreement
-- **Finetuned from model [optional]:** {{TODO_BASE_MODEL_HERE}}
+- **Finetuned from model:** [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct)
 
 ## License