Update README.md

README.md

@@ -23,14 +23,14 @@ WaveCoder 🌊 is a series of large language models (LLMs) for the coding domain
 
 ## Model Details
 
+- WaveCoder-6.7b-ds = Trained using CodeOcean dataset
+- WaveCoder-6.7b-pro = Trained using GPT-4 synthetic data
+- WaveCoder-6.7b-ultra = Trained using enhanced GPT-4 synthetic data
+
 ### Model Description
 
 WaveCoder 🌊 is a series of large language models (LLMs) for the coding domain, designed to solve relevant problems in the field of code through instruction-following learning. Its training dataset was generated from a subset of code-search-net data using a generator-discriminator framework based on LLMs that we proposed, covering four general code-related tasks: code generation, code summary, code translation, and code repair.
 
-WaveCoder-ds = Trained using CodeOcean dataset
-WaveCoder-pro = Trained using GPT-4 synthetic data
-WaveCoder-ultra = Trained using enhanced GPT-4 synthetic data
-
 - **Developed by:** Yu, Zhaojian and Zhang, Xin and Shang, Ning and Huang, Yangyu and Xu, Can and Zhao, Yishujie and Hu, Wenxiang and Yin, Qiufeng
 - **Model type:** Large Language Model
 - **Language(s) (NLP):** English