Update README.md

README.md

@@ -42,7 +42,7 @@ The overall performance is even better than the official Llama-3-8B-Instruct Mod
 - **Alpaca Eval 2 (vs GPT-4-Turbo-1106): 38.52 (LC), 38.47 (WR)**
 - **Alpaca Eval 2 (vs Llama-3-8B-Instruct): 69.37 (LC), 70.05 (WR)**
 - **Arena Hard: 32.4**
-- **WildBench: 39.3 (Best <30B Model! 🏆)**
+- **WildBench: 39.3 ((was) Best <30B Model! 🏆)**
 - **Zero-Eval GSM: 54.62**
 
 ## Model Performance
@@ -81,7 +81,7 @@ We compare our Llama-3-8B-Magpie-Align with official and other **open-aligned LL
 
 **Conversation Template**: Please use Llama 3 **official chat template** for the best performance.
 
-**How to use it?** Please check the official [Llama 3 repository](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct#how-to-use) for detailed instructions. Simply replace the original `model_id` with `Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v1.0`.
+**How to use it?** Please check the official [Llama 3 repository](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct#how-to-use) for detailed instructions. Simply replace the original `model_id` with `Magpie-Align/Llama-3-8B-Magpie-Align-v0.1`.
 
 The detailed training pipeline is as follows.