leafspark / wavecoder-ds-6.7b-GGUF

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Total runs: 31
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7-day runs: 1
30-day runs: -29
Model's Last Updated: April 18 2024
text-generation

Introduction of wavecoder-ds-6.7b-GGUF

Model Details of wavecoder-ds-6.7b-GGUF

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
Uses

Coding/Refactoring/Cleanup/Fixing Code

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

Runs of leafspark wavecoder-ds-6.7b-GGUF on huggingface.co

31
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
-29
30-day runs

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