文章主题：moss, moon, plugin
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。
MOSS 用例：
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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 base 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 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 been working tirelessly to develop a robust and accurate preference model using the insights gathered from our users. With this release, we hope to provide even more personalized experiences for our community.🚀 We are committed to transparency and open-source development. Therefore, we plan to make our preference model available for everyone to use and contribute to its improvement.💡 If you’re interested in learning more about how Moss Moon 003 PM works or if you have any questions, please don’t hesitate to reach out to us at moss-moon-003@pm.com. We’d be happy to help!🚀 Stay tuned for updates on our release date and the exciting new features that will come with it.#MossMoon #PM #PreferenceModel #OpenSourceDevelopment #Transparency #Community #PersonalizedExperiences
🚀 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. With its stable response quality, this final model will soon be released for public use.💡 Moss Moon 003 PM: The Foundation 📚💡 Moss Moon 003 PM is the backbone of our training process. It’s built on top of moss-moon-003-sft and provides a solid foundation for further development.🚀 Moss Moon 003 Final Model 🚀🚀 Moss Moon 003 PM has been fine-tuned to deliver exceptional results, ensuring that your queries are answered with the utmost precision. This final model is ready to be released soon.💡 Moss Moon 003: The Future 📈💡 Moss Moon 003 is just the beginning of our journey towards creating a safer and more accurate search experience. Stay tuned for future updates and improvements.#MossMoon003 #FinalModel #FactualAccuracy #Security #StableQuality #PublicUse #FutureUpdates #SearchExperience
🚀 Moss Moon 0.03 Plugin: A Model Trained on Moss Moon 0.03 SFT Plugin’s Preference Model for Stronger Intent Understanding and Plugin Usage Ability
数据✨ Moss-002 SFT Data 🌟🚀 MOSS-002 is a powerful tool that helps you understand the three key aspects of user engagement: usefulness, loyalty, and harmlessness. With over 570,000 English conversations generated by text-davinci-003 and another 590,000 Chinese conversations, this data set provides valuable insights into how users interact with your platform.💡 The data is divided into three categories: usefulness, loyalty, and harmlessness. By analyzing these metrics, you can identify areas where users are most engaged and make informed decisions to improve their overall experience.🌍 The English conversations cover a wide range of topics, making it easy for businesses to understand the nuances of user behavior across different industries. The Chinese conversations provide valuable insights into how users interact with your platform in China, which is an important market for many businesses.💡 To get started with Moss-002 SFT Data, simply download the data set and start analyzing the metrics that matter most to you. With this powerful tool at your fingertips, you can make informed decisions that will help you grow your business and improve user engagement.# moss-002-sft-data #user-engagement #english-conversations #chinese-conversations #data-analysis #business-growth
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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