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README.md

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 ## Description:
-Llama2-13B-RLHF-RM is a 13 billion parameter language model (with context of up to 4,096 tokens) used as the Reward Model in training [NV-Llama2-70B-RLHF](https://huggingface.co/nvidia/NV-Llama2-70B-RLHF-Chat), which achieves 7.59 on MT-Bench and demonstrates strong performance on academic benchmarks. 
+Llama2-13B-RLHF-RM is a 13 billion parameter language model (with context of up to 4,096 tokens) used as the Reward Model in training [NV-Llama2-70B-RLHF-Chat](https://huggingface.co/nvidia/NV-Llama2-70B-RLHF-Chat), which achieves 7.59 on MT-Bench and demonstrates strong performance on academic benchmarks. 
 
 Starting from [Llama2-13B base model](https://huggingface.co/meta-llama/Llama-2-13b), it is first instruction-tuned with a combination of public and proprietary data and then trained on [HH-RLHF dataset](https://huggingface.co/datasets/Anthropic/hh-rlhf) with reward modeling objective. Given a conversation with multiple turns between user and assistant, it assigns a preference score on the last assistant turn.