metadata
language:
- en
library_name: pytorch
pipeline_tag: text-generation
tags:
- code
- deepseek
- gguf
- f32
- f16
- q2
- q8
- q6
- q4_k_m
- humaneval
license: mit
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