Update README.md

README.md

@@ -20,7 +20,7 @@ Upon the initial release of OLMo-2 models, we realized the post-trained models d
 
 ## Release Documentation
 
-OLMo 2 13B Instruct November 2024 is post-trained variant of the [OLMo-2 13B November 2024](https://huggingface.co/allenai/OLMo2-13B-1124) model, which has undergone supervised finetuning on an OLMo-specific variant of the [Tülu 3 dataset](allenai/tulu-3-sft-olmo-2-mixture) and further DPO training on [this dataset](https://huggingface.co/datasets/allenai/olmo-2-1124-13b-preference-mix), and finally RLVR training using [this data](https://huggingface.co/datasets/allenai/RLVR-GSM).
+OLMo 2 13B Instruct November 2024 is post-trained variant of the [OLMo-2 13B November 2024](https://huggingface.co/allenai/OLMo2-13B-1124) model, which has undergone supervised finetuning on an OLMo-specific variant of the [Tülu 3 dataset](https://huggingface.co/datasets/allenai/tulu-3-sft-olmo-2-mixture and further DPO training on [this dataset](https://huggingface.co/datasets/allenai/olmo-2-1124-13b-preference-mix), and finally RLVR training using [this data](https://huggingface.co/datasets/allenai/RLVR-GSM).
 Tülu 3 is designed for state-of-the-art performance on a diversity of tasks in addition to chat, such as MATH, GSM8K, and IFEval.
 Check out the [OLMo 2 paper](https://arxiv.org/abs/2501.00656) or [Tülu 3 paper](https://arxiv.org/abs/2411.15124) for more details!