Model Card for wavecoder-ds-6.7b-GGUF

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.

• 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
• License: DeepSeek License (Model)

Model Sources

• Repository: https://huggingface.co./microsoft/wavecoder-ds-6.7b
• Paper : [More Information Needed]
• Demo : [More Information Needed]

Uses

Coding/Refactoring/Cleanup/Fixing Code

Original: https://huggingface.co./microsoft/wavecoder-ds-6.7b