awesome-llama: https://github.com/BayLing-Models/BayLing

aigc bayling chatgpt chinese cross-lingual general-language-model gpt4 human-performance instruction-tuning interactive large-language-models llama machine-translation multilingual-translation translation

Score: -Infinity

Last synced: about 3 hours ago
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“百聆”是一个基于LLaMA的语言对齐增强的英语/中文大语言模型，具有优越的英语/中文能力，在多语言和通用任务等多项测试中取得ChatGPT 90%的性能。BayLing is an English/Chinese LLM equipped with advanced language alignment, showing superior capability in English/Chinese generation, instruction following and multi-turn interaction.⚠️ This project has been moved to: https://github.com/BayLing-Models/BayLing

• Host: GitHub
• URL: https://github.com/BayLing-Models/BayLing
• Owner: BayLing-Models
• License: gpl-3.0
• Created: 2023-06-16T14:11:50.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-12-03T15:40:39.000Z (almost 2 years ago)
• Last Synced: 2026-09-25T12:37:11.476Z (about 2 months ago)
• Topics: aigc, bayling, chatgpt, chinese, cross-lingual, general-language-model, gpt4, human-performance, instruction-tuning, interactive, large-language-models, llama, machine-translation, multilingual-translation, translation
• Language: Python
• Homepage: http://nlp.ict.ac.cn/bayling
• Size: 67.2 MB
• Stars: 317
• Watchers: 7
• Forks: 17
• Open Issues: 13
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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Owner metadata:

• Name: BayLing
• Login: BayLing-Models
• Email: bayling@ict.ac.cn
• Kind: organization
• Description: The series of large language models developed by Instutute of Computing Technology, Chinese Academy of Sciences (ICT/CAS), https://github.com/ictnlp
• Website: https://nlp.ict.ac.cn/
• Location:
• Twitter:
• Company:
• Icon url: https://avatars.githubusercontent.com/u/293040451?v=4
• Repositories: 1
• Last Synced at: 2026-11-14T02:43:10.275Z
• Profile URL: https://github.com/BayLing-Models

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Committers metadata

Last synced: 1 day ago

Name	Email	Commits
Vily1998	2****9@q****m	79
zhangshaolei	z****z@i****n	6

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Package metadata

• Total packages: 2
• Total downloads: unknown
• Total dependent packages: 0 (may contain duplicates)
• Total dependent repositories: 0 (may contain duplicates)
• Total versions: 2