Wants to know how to deploy model and try it for my own

README.md

@@ -2,23 +2,14 @@
 license: mit
 language:
 - en
-
-metrics:
-- accuracy
-library_name: pytorch
 ---
-
-# 24/04/05 update
-We introduce [Moreh AI Model Hub with AMD GPU](https://model-hub.moreh.io/), an ai model host platform powered by AMD MI250 GPUs.
-You can now test live-inference of this model at Moreh AI Model Hub. 
-
 # **Introduction**
 MoMo-72B-lora-1.8.7-DPO is trained via Direct Preference Optimization([DPO](https://arxiv.org/abs/2305.18290)) from [MoMo-72B-LoRA-V1.4](https://huggingface.co/moreh/MoMo-72B-LoRA-V1.4) as its base model, with several optimizations in hyperparameters.  
 [MoMo-72B-LoRA-V1.4](https://huggingface.co/moreh/MoMo-72B-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.  
 MoMo-72B 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.
-# 
+
 
 ## Details
 ### Used Librarys