Update README.md

README.md

@@ -4,7 +4,7 @@ language:
 - en
 ---
 # **Introduction**
-MoMo-70B-lora-1.8.7-DPO is trained via Direct Preference Optimization([DPO](https://arxiv.org/abs/2305.18290)) from [MoMo-70B-LoRA-V1.4](https://huggingface.co/moreh/MoMo-70B-LoRA-V1.4) as its base model, with several optimizations in hyperparameters.  
+MoMo-72B-lora-1.8.7-DPO is trained via Direct Preference Optimization([DPO](https://arxiv.org/abs/2305.18290)) from [MoMo-70B-LoRA-V1.4](https://huggingface.co/moreh/MoMo-70B-LoRA-V1.4) as its base model, with several optimizations in hyperparameters.  
 [MoMo-70B-LoRA-V1.4](https://huggingface.co/moreh/MoMo-70B-LoRA-V1.4) is trained via Supervised Fine-Tuning (SFT) using [LoRA](https://arxiv.org/abs/2106.09685), with the QWEN-72B model as its base-model.  
 Note that we did not exploit any form of weight merge.  
 For leaderboard submission, the trained weight is realigned for compatibility with llama.  
@@ -25,7 +25,7 @@ MoMo-70B is trained using **[Moreh](https://moreh.io/)**'s [MoAI platform](https
     
 | Model                        | ARC   | MMLU | TruthfulQA | GSM8K |
 |------------------------------|-------|-------|-------|-------|
-| **V1.8.6(result < 0.1, %)**| TBU |TBU | TBU | TBU |
+| **V1.8.7(result < 0.1, %)**| TBU |TBU | TBU | TBU |
 ### Used Environments
 - AMD MI250 & MoAI platform
 - Please visit https://moreh.io/product for more information about MoAI platform
@@ -38,8 +38,8 @@ MoMo-70B is trained using **[Moreh](https://moreh.io/)**'s [MoAI platform](https
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-tokenizer = AutoTokenizer.from_pretrained("moreh/MoMo-70B-lora-1.8.7-DPO")
+tokenizer = AutoTokenizer.from_pretrained("moreh/MoMo-72B-lora-1.8.7-DPO")
 model = AutoModelForCausalLM.from_pretrained(
-    "moreh/MoMo-70B-lora-1.8.6-DPO"
+    "moreh/MoMo-72B-lora-1.8.7-DPO"
 )
 ```