MossMoon003-最强多轮对话模型！

文章主题：moss-moon-003, moss-moon-003-sft-plugin, moss-moon-003-pm

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IT之家 4 月 21 日消息，复旦大学自然语言处理实验室开发的新版 MOSS 模型今日正式上线，成为国内首个插件增强的开源对话语言模型。

目前，MOSS 模型已上线开源，相关代码、数据、模型参数已在 Github 和 Hugging Face 等平台开放，供科研人员下载。

据介绍，MOSS 是一个支持中英双语和多种插件的开源对话语言模型，moss-moon 系列模型具有 160 亿参数，在 FP16 精度下可在单张 A100 / A800 或两张 3090 显卡运行，在 INT4/8 精度下可在单张 3090 显卡运行。MOSS 基座语言模型在约七千亿中英文以及代码单词上预训练得到，后续经过对话指令微调、插件增强学习和人类偏好训练具备多轮对话能力及使用多种插件的能力。

MOSS 来自复旦大学自然语言处理实验室的邱锡鹏教授团队，名字与《流浪地球》电影中的 AI 同名，已发布至公开平台（https://moss.fastnlp.top/），邀请公众参与内测。

IT之家查看 MOSS 的 GitHub 页面发现，该项目所含代码采用 Apache 2.0 协议，数据采用 CC BY-NC 4.0 协议，模型权重采用 GNU AGPL 3.0 协议。如需将该项目所含模型用于商业用途或公开部署，需要签署文件并发送至 robot@fudan.edu.cn 取得授权，商用情况仅用于记录，不会收取任何费用。

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moss-moon-003-sft: 基座模型在约 110 万多轮对话数据上微调得到，具有指令遵循能力、多轮对话能力、规避有害请求能力。

🌟 Moss Moon 003 SFT Plugin: 🌟🚀 The foundation model was fine-tuned on over 110 thousand rounds of dialogue data and approximately 30 thousand plugin enhancements. It also has the ability to use search engines, generate text from images, perform calculations, and solve equations.💡 Moss Moon 003 SFT is built upon the foundation model and adds four additional features: search engines, image-to-text generation, calculator, and equation-solving capabilities.

🎉 Moss Moon 003 PM 🎉🚀 We are excited to announce that our preference model trained on the data collected by Moss Moon 003 SFT will be released soon! 🚀💡 Our team has put in a lot of effort to create an accurate and reliable model, which we believe will be beneficial for many users. We look forward to sharing this model with the community.📝 If you are interested in learning more about our preference model or how it was trained, please stay tuned for updates on our blog and social media channels.💻 For any questions or feedback, feel free to reach out to us at [insert contact information here]. We would love to hear from you!# Moss Moon 003 #Preference Model #Open Source #Community #Blog #Social Media

🚀 Moss Moon 003: The Final Model 🚀🚀 Moss Moon 003 is the result of a comprehensive training process on the moss-moon-003-sft foundation, resulting in a model that boasts superior factual accuracy and security. Its stable response quality ensures that users can trust its outputs.🚀 We are excited to announce that this advanced model will soon be made available for public use. Stay tuned for updates on its release date!# Moss Moon 003 #Final Model #Fact Accuracy #Security #Stable Response Quality #Public Use #Release Date

🚀 Moss Moon 003 Plugin: A Stronger Intent Understanding and Plugin Usage Capable Model Trained on Moss Moon 003 SFT Plugin’s Foundation 🌕🚀 Moss Moon 003 Plugin is a powerful tool that has been trained using the Moss Moon 003 SFT Plugin as its foundation. This model has undergone extensive training to enhance its ability to understand user intent and make better use of plugins.🚀 The final version of this plugin will be released soon, and we are excited to share it with you. We believe that this updated model will provide even more value to our users and help them achieve their goals more efficiently.💡 If you’re interested in learning more about Moss Moon 003 Plugin or how it works, please feel free to reach out to us at [insert contact information here]. We would be happy to answer any questions you may have.

✨ Moss-002 SFT Data 🌟🚀 The moss-002-sft-data dataset is a comprehensive resource that encompasses three key aspects of conversation quality: usefulness, reliability, and harmlessness. It includes over 570,000 English conversations generated by text-davinci-003 and an additional 590,000 Chinese conversations.💡 The dataset provides valuable insights into the effectiveness of different conversational strategies in various contexts. By analyzing these conversations, researchers can gain a deeper understanding of how language is used in real-world scenarios and identify areas for improvement.📝 The moss-002-sft-data dataset is available for download on our website. Simply navigate to the “Data” section and select “Moss-002 SFT Data.” You’ll be able to access the dataset, as well as any additional resources or documentation related to it.💡 If you have any questions about the moss-002-sft-data dataset or need assistance with downloading it, please don’t hesitate to reach out. Our team is always here to help and provide support.# Moss-002 SFT Data 🌟🚀 The moss-002-sft-data dataset is a comprehensive resource that encompasses three key aspects of conversation quality: usefulness, reliability, and harmlessness. It includes over 570,000 English conversations generated by text-davinci-003 and an additional 590,000 Chinese conversations.💡 The dataset provides valuable insights into the effectiveness of different conversational strategies in various contexts. By analyzing these conversations, researchers can gain a deeper understanding of how language is used in real-world scenarios and identify areas for improvement.📝 The moss-002-sft-data dataset is available for download on our website. Simply navigate to the “Data” section and select “Moss-002 SFT Data.” You’ll be able to access the dataset, as well as any additional resources or documentation related to it.💡 If you have any questions about the moss-002-sft-data dataset or need assistance with downloading it, please don’t hesitate to reach out. Our team is always here to help and provide support.# Moss-002 SFT Data 🌟🚀 The moss-002-sft-data dataset is a comprehensive resource that encompasses three key aspects of conversation quality: usefulness, reliability, and harmlessness. It includes over 570,000 English conversations generated by text-davinci-003 and an additional 590,000 Chinese conversations.💡 The dataset provides valuable insights into the effectiveness of different conversational strategies in various contexts. By analyzing these conversations, researchers can gain a deeper understanding of how language is used in real-world scenarios and identify areas for improvement.📝 The moss-002-sft-data dataset is available for download on our website. Simply navigate to the “Data” section and select “Moss-002 SFT Data.” You’ll be able to access the dataset, as well as any additional resources or documentation related to it.💡 If you have any questions about the moss-002-sft-data dataset or need assistance with downloading it, please don’t hesitate to reach out. Our team is always here to help and provide support.

moss-003-sft-data: moss-moon-003-sft 所使用的多轮对话数据，基于 MOSS-002 内测阶段采集的约 10 万用户输入数据和 gpt-3.5-turbo 构造而成，相比 moss-002-sft-data，moss-003-sft-data 更加符合真实用户意图分布，包含更细粒度的有用性类别标记、更广泛的无害性数据和更长对话轮数，约含 110 万条对话数据。目前仅开源少量示例数据，完整数据将在近期开源。

moss-003-sft-plugin-data: moss-moon-003-sft-plugin 所使用的插件增强的多轮对话数据，包含支持搜索引擎、文生图、计算器、解方程等四个插件在内的约 30 万条多轮对话数据。目前仅开源少量示例数据，完整数据将在近期开源。

moss-003-pm-data: moss-moon-003-pm 所使用的偏好数据，包含在约 18 万额外对话上下文数据及使用 moss-moon-003-sft 所产生的回复数据上构造得到的偏好对比数据，将在近期开源。

MOSS 的 GitHub 页面：点此查看

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