Update README.md

README.md

@@ -5,7 +5,7 @@ language:
 ---
 # **Introduction**
 MoMo-70B is trained via Supervised Fine-Tuning (SFT) using [LoRA](https://arxiv.org/abs/2106.09685), with the QWEN-72B model as its base-model.  
-This is a Direct Preference Optimization([DPO](https://arxiv.org/abs/2305.18290)) version of v1.8.4 , with several optimizations in hyperparameters.  
+This is a Direct Preference Optimization([DPO](https://arxiv.org/abs/2305.18290)) version of v1.8.6 , with several optimizations in hyperparameters.  
 Note that we did not exploit any form of weight merge.  
 For leaderboard submission, the trained weight is realigned for compatibility with llama.  
 MoMo-70B is trained using **[Moreh](https://moreh.io/)**'s [MoAI platform](https://moreh.io/product), which simplifies the training of large-scale models, and AMD's MI250 GPU.