update readme

README.md

@@ -10,14 +10,25 @@ library_name: peft
 ### Introduction
 OriGen is a fine-tuned lora model designed for Verilog code generation. It is trained on top of DeepSeek Coder 7B using datasets generated from code-to-code augmentation and self-reflection.
 
-
-- **Repository:** [pku-liang/OriGen](https://github.com/pku-liang/OriGen)
+The model has been uploaded to Hugging Face, and the repository contains the inference scripts. The dataset and data generation flow will be released soon.
 
 ### Evaluation Results
 <img src="figures/evaluation.png" alt="evaluation" width="1000"/>
 
 ### Quick Start
 
+Before running the following code, please install the required packages:
+
+```bash
+conda create -n origen python=3.11
+conda activate origen
+pip install -r requirements.txt
+```
+
+Here is an example of how to use the model. Please note that the base model, DeepSeek Coder 7B, is loaded in float16 precision though the its default precision is bfloat16.
+
+The reason for this is that we find Lora trained in float16 performs better than that in bfloat16 in experiments.
+
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
 import torch