yafeng

雅风:古诗词生成大模型

https://github.com/jibinquan/yafeng

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (1.5%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

雅风:古诗词生成大模型

Basic Info
  • Host: GitHub
  • Owner: JiBinquan
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 39.7 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme License Citation

README.md

雅风:古诗词生成大模型

Owner

  • Login: JiBinquan
  • Kind: user
  • Location: 辽宁 沈阳
  • Company: 东北大学

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you find our resources useful, please cite our paper as below."
authors:
- family-names: "Cui"
  given-names: "Yiming"
  orcid: "https://orcid.org/0000-0002-2452-375X"
- family-names: "Yang"
  given-names: "Ziqing"
- family-names: "Yao"
  given-names: "Xin"  
title: "Chinese LLaMA and Alpaca 2"
version: 1.0
date-released: 2023-07-28
url: "https://github.com/ymcui/Chinese-LLaMA-Alpaca-2"
preferred-citation: 
  type: article
  authors:
  - family-names: "Cui"
    given-names: "Yiming"
    orcid: "https://orcid.org/0000-0002-2452-375X"
  - family-names: "Yang"
    given-names: "Ziqing"
  - family-names: "Yao"
    given-names: "Xin"  
  title: "Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca"
  journal: "arXiv pre-print"
  year: 2023
  url: "https://arxiv.org/abs/2304.08177"

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Dependencies

requirements.txt pypi
  • bitsandbytes ==0.41.1
  • peft ==0.3.0
  • sentencepiece ==0.1.99
  • torch ==2.0.1
  • transformers ==4.35.0
scripts/longbench/requirements.txt pypi
  • datasets *
  • einops *
  • fuzzywuzzy *
  • jieba *
  • rouge *
  • torch *
  • tqdm *
  • transformers ==4.35.0