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[#]: subject: "13 Best Open Source ChatGPT Alternatives"
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[#]: via: "https://itsfoss.com/open-source-chatgpt-alternatives/"
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[#]: author: "Ankush Das https://itsfoss.com/author/ankush/"
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[#]: collector: "lujun9972/lctt-scripts-1700446145"
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[#]: translator: "ChatGPT"
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[#]: reviewer: "wxy"
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[#]: publisher: "wxy"
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[#]: url: "https://linux.cn/article-16553-1.html"
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13 款最佳开源 ChatGPT 替代品
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======
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![][0]
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> 正在寻找开源的 ChatGPT 替代方案？我们已经为你挑选了最优选项，供你一览。
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ChatGPT 是 OpenAI 推出的一个强大的生成式 AI 工具。你只需要以对话形式键入文本提示，它就会给出详细的回应。
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虽然它并非无懈可击，但无可否认，有时它表现得就是那么得力。然而，无论你如何利用它，不可更改的事实是，它并非开源方案。
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作为一种专用选项，它并非在所有方面都有优势。那么，何处可以寻找 ChatGPT 的开源替代品呢？让我为你揭晓自然开源的优秀 ChatGPT 替代方案。
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> 📋 并非所有 ChatGPT 的替代品都有统一的运作方式。有些是为开发者设计的，让他们在其上打造属于自己的聊天机器人。还有一些则提供了供你测试使用的机器人或演示。
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### 搜寻开源 ChatGPT 替代品的理由
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依赖任何单一的服务对消费者来说都不是好事。对于 ChatGPT 来说也是如此。
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除此之外，以下是我们需要寻找开源 ChatGPT 替代品的原因：
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* 掌握我们的数据处理方式，实现透明化。
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* 可以选择自己构建解决方案，节省了成本。
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* 按需定制 ChatGPT 替代方案。
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* 你不再受制于某个公司的规定。开源解决方案可以根据您的需求灵活变化。
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* 对开源项目的贡献会对全球每个人产生影响。
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我并不是在此表明 ChatGPT 的功能不足，或者你应当放弃使用。然而，以“我们”用户的角度来看，长期而言，更应该从开源的替代品中获得更多收益。
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现在，就让我们开始探寻最佳开源的 ChatGPT 方案吧。
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> ❌ 并非所有的选项都可用于商业用途。你需要特别留意使用某些机器人时的相关规定。
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### 1、OpenChatKit
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![][1]
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[OpenChatKit][2] 是由 [Together][3] 开发的全功能 ChatGPT 替代品。
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该公司起初与 **LAION**（主导了 <ruby>[稳定扩散][4]<rt>Stable Diffusion</rt></ruby>）等研究机构共同合作，构建出一个训练数据集。在撰写本文时，它搭载了 [RedPajama 模型][5]，这是目前最大的开源 AI 模型之一。
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你可以试验看看它是否适合你的使用需求，并在其 [GitHub 页面][6] 进一步探索更多技术细节。
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### 2、ChatRWKV
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![][7]
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ChatRWKV 是由 <ruby>循环神经网络<rt>Recurrent Neural Network</rt></ruby>（RNN） 语言模型驱动的开源替代品。
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你可以在 [Huggingface][8] 发现它的演示。 [GitHub 页面][9] 列出了关于其代码库、技术细节，以及最新版本预览的所有信息。
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开发者和商业公司都可以利用 ChatRWKV 构建他们的聊天机器人。
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### 3、ColossalChat
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![][10]
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Colossal AI 是一个开源项目，目标是帮助你克隆 AI 模型，并打造出满足你需求的 ChatGPT 类似的平台。
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[ColossalChat][11] 是以此项目为基础打造的聊天机器人。然而遗憾的是，在本文撰写之时，它的演示暂未上线。
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你可以在 [GitHub][12] 上探索其源代码。
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### 4、KoboldAI
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KoboldAI 是一个类似于 ChatGPT 的 AI，主要以浏览器前端的形式为写作提供辅助。虽然它具备聊天机器人模式，但它首要的设计目标是作为专为小说设计的 AI 写作助手。
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提供了各种各样的模型，你可以在 [Google Colab][13] 上轻松运行它。
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它支持各种模式来优化你的写作，让你有更大的发挥空间。你可以在其 [GitHub 页面][14] 中详细了解它的所有信息。
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### 5、GPT4ALL
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GPT4ALL 是一个令人感兴趣的开源项目，旨在为你提供可在任何地方运行的聊天机器人。
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没错，你可以在自己的 CPU 上本地运行它，而且几乎所有其他型号的 GPU 都能支持。
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你需要做的就是安装它的桌面应用程序（聊天客户端），然后就能开始使用了。如果对其制作过程感兴趣，可以查看其 [GitHub 页面][15]。
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### 6、HuggingChat
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![][16]
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听起来熟悉吗？嗯，Huggingface 的平台被其他 AI 模型和聊天机器人用作展示他们的演示。
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HuggingChat 正是 Huggingface 打造的开源的 ChatGPT 替代品，使用了社区中最优秀的 AI 模型来实现聊天机器人的功能。
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你可以 [尝试一下][17]，并在 [源代码][18] 中深入探讨更多细节。如果有特别的需求，可以选择搭配不同的后端来使用聊天应用。
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### 7、Koala
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EasyLM 的研发成果 Koala 是一款可尝试本地运行的聊天机器人，整个架构基于 LLaMA 数据集完成。
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你可以参阅其 [官方博客][20] 来深入了解细节。
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目前，演示版本还未上线，但是，你可以参考其 [文档][21] 在本地部署，进行试运行并测试。
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### 8、Vicuna
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![][22]
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Vicuna 是另一款开源聊天机器人，训练基础依然是 LLaMA。根据开发者的说法，使用 GPT-4 作为评价标准，得出的结论是 Vicuna 的聊天体验接近 ChatGPT。
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这是一个你可能想要验证的有趣声明。你可以选择 Vicuna 作为语言模型，并在 [Chatbot Arena][23] 进行尝试。
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想要了解更多关于它的信息，你可以查阅其 [官方博文][24]。
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### 9、Alpaca-LoRA
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Alpaca-LoRA 雄心勃勃，旨在使用低秩适应技术提供一种可在树莓派中运行的模型。
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利用单个 RTX 4090 GPU，整个模型可在几小时之内完成训练。
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此时，演示版本仍然未开放，但你可以在其 [GitHub 页面][25] 上寻找更多详情。
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### 10、Dolly
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![][26]
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Dolly 是另一个在 Databricks 机器学习平台上训练的语言模型，并已获得商业使用许可。
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你可以在 [GitHub][27] 上查阅源代码，并在 [Huggingface][28] 上探究模型详情。
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### 11、H2oGPT
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![][29]
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H2oGPT 是专门为查询定制的，可以帮助你总结文档。在保证隐私的前提下，它允许你通过用户界面上传和查看文档。
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同样，你可以像使用 ChatGPT 那样开始对话。对于 Windows 和 macOS，该项目提供了易于安装的程序。对于 Linux 系统，你可能需要通过 Docker 进行些许设置。
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可以尝试该聊天机器人的 [在线演示][30] 来了解其运行情况，并在 [GitHub 页面][31] 查阅源代码。
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### 12、Cerebras-GPT
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![][32]
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Cerebras-GPT 呈现了通过大量参数训练的开源 GPT 类似模型。
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它并没有提供聊天机器人服务。它的目标旨在提供精准且高效的开源模型供你使用。
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获取模型详情，你可以访问 [Hugging Face][33]。
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### 13、OpenAssistant
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OpenAssistant 的目标，是让每一个人都能访问类似于 ChatGPT 的聊天机器人。
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有一段时间，他们通过演示版本收集了用户数据。现在，由于项目已由创作者标记为完成，演示版本不再开放。
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但你可以利用该项目的成果，及其 [源代码][34]，在此基础上进行扩展。
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### 总结
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面向用户和开发者，ChatGPT 的开源替代品提供了各种各样的优点。你可以选择运用一个开源的聊天机器人，或者借助开源语言模型构建一个属于自己的聊天机器人。
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无论你选择哪一个，只要遵守可用语言模型的政策，你都可以自由地修改和使用它以满足你的需求。
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你最爱哪个开源的 ChatGPT 替代品呢？是否还有其他优秀的开源型 ChatGPT 项目，我们错过了但你特别喜欢的？请在下方评论区告诉我们你的想法。
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*（题图：DA/b757432f-56a4-4493-a109-1eca6c57c1fc）*
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--------------------------------------------------------------------------------
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via: https://itsfoss.com/open-source-chatgpt-alternatives/
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作者：[Ankush Das][a]
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选题：[lujun9972][b]
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译者：[ChatGPT](https://linux.cn/lctt/ChatGPT)
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校对：[wxy](https://github.com/wxy)
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本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
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[a]: https://itsfoss.com/author/ankush/
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[b]: https://github.com/lujun9972
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[1]: https://itsfoss.com/content/images/2024/01/openchatkit-screenshot.jpg
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[2]: https://huggingface.co/spaces/togethercomputer/OpenChatKit
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[3]: https://www.together.ai/
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[4]: https://github.com/Stability-AI/stablediffusion
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[5]: https://www.together.ai/blog/redpajama-7b
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[6]: https://github.com/togethercomputer/OpenChatKit
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[7]: https://itsfoss.com/content/images/2024/01/chatrwkv.jpg
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[8]: https://huggingface.co/spaces/BlinkDL/RWKV-Gradio-2
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[9]: https://github.com/BlinkDL/ChatRWKV
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[10]: https://itsfoss.com/content/images/2024/01/colossalchat.jpg
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[11]: https://chat.colossalai.org/
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[12]: https://github.com/hpcaitech/ColossalAI/tree/main/applications/Chat
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[13]: https://colab.research.google.com/?utm_source=scs-index
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[14]: https://github.com/KoboldAI/KoboldAI-Client
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[15]: https://github.com/nomic-ai/gpt4all
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[16]: https://itsfoss.com/content/images/2024/01/huggingchat.jpg
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[17]: https://huggingface.co/spaces/huggingchat/chat-ui
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[18]: https://huggingface.co/spaces/huggingchat/chat-ui/tree/main
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[19]: https://github.com/young-geng/EasyLM#koala
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[20]: https://bair.berkeley.edu/blog/2023/04/03/koala/
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[21]: https://github.com/young-geng/EasyLM/blob/main/docs/koala.md
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[22]: https://itsfoss.com/content/images/2024/01/vicuna.jpg
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[23]: https://chat.lmsys.org/
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[24]: https://lmsys.org/blog/2023-03-30-vicuna/
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[25]: https://github.com/tloen/alpaca-lora
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[26]: https://itsfoss.com/content/images/2024/01/dolly-huggingface.jpg
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[27]: https://github.com/databrickslabs/dolly
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[28]: https://huggingface.co/databricks/dolly-v2-12b
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[29]: https://itsfoss.com/content/images/2024/01/h2ogpt.jpg
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[30]: https://huggingface.co/spaces/h2oai/h2ogpt-chatbot2
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[31]: https://github.com/h2oai/h2ogpt
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[32]: https://itsfoss.com/content/images/2024/01/cerebras.jpg
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[33]: https://huggingface.co/cerebras/Cerebras-GPT-6.7B
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[34]: https://github.com/LAION-AI/Open-Assistant?tab=readme-ov-file#how-to-try-it-out
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[35]: https://itsfoss.com/content/images/size/w256h256/2022/12/android-chrome-192x192.png
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[0]: https://img.linux.net.cn/data/attachment/album/202401/13/111931vcvcn538l3gk9nkk.jpg
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@ -1,222 +0,0 @@
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[#]: subject: "13 Best Open Source ChatGPT Alternatives"
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[#]: via: "https://itsfoss.com/open-source-chatgpt-alternatives/"
|
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[#]: author: "Ankush Das https://itsfoss.com/author/ankush/"
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[#]: collector: "lujun9972/lctt-scripts-1700446145"
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[#]: translator: " "
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[#]: reviewer: " "
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[#]: publisher: " "
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[#]: url: " "
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13 Best Open Source ChatGPT Alternatives
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======
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ChatGPT is a powerful generative AI tool developed by OpenAI. You enter text prompts in a conversational way, and it gives you a detailed response.
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Sure, it is not perfect. But, sometimes it is incredibly helpful. No matter what you do with it, unfortunately, it is not an open-source solution.
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As a proprietary option, it isn't beneficial in every way. So, what are some open source ChatGPT alternatives? Here, let me highlight the best ChatGPT alternatives that are open-source in nature.
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📋
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Not all ChatGPT alternatives function the same way. Some solutions are purely meant for developers to create their own chatbot on top of it. And, a few others offer a chatbot or demo for you to test.
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### Reasons to Look for Open-Source ChatGPT Alternatives
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Relying on any single service is bad for the consumers. The same goes for ChatGPT.
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In addition to that, here's why we should look for open ChatGPT alternatives:
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* Get transparency on how our data is being handled.
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* You can choose to build your own solution, saving money in the process.
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* Customize the ChatGPT alternative as per your requirements.
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* You are not locked on to the policies of a single company. The open-source solution can be flexible as per your needs.
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* Contributions to the open-source project will make an impact on everyone across the globe.
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I do not intend to say that ChatGPT is bad, or you should stop using it. However, "we" as the users should benefit more from the open alternatives in the long-run.
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Now, let us move on to the best open-source ChatGPT alternatives.
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❌
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Not all demos allow commercial use. You need to be careful when using the content from the chatbot demos for some options.
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### 1\. OpenChatKit
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![][1]
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[OpenChatKit][2] is a full-fledged ChatGPT alternative developed by [Together][3].
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The company initially collaborated with research organizations like **LAION** (responsible for [**Stable Diffusion**][4]) to create a training dataset. When writing this, it uses the [RedPajama model][5], one of the largest open-source AI models.
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You can try if it fits your use-cases and explore its [GitHub page][6] for technical details.
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### 2\. ChatRWKV
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![][7]
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ChatRWKV is an open-source alternative powered by an RNN (Recurrent Neural Network) language model.
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You can find a demo of it on [Huggingface][8]. The [GitHub page][9] mentions all about its repository, technical details, and the latest version preview.
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Developers and businesses can build their chatbots utilizing ChatRWKV.
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### 3\. ColossalChat
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![][10]
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Colossal AI is an open-source initiative to help you clone AI models and build ChatGPT-like platforms for your requirements.
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[ColossalChat][11] is the chatbot leveraging the project. Unfortunately, the demo is not functional when writing this.
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You can explore its source code on [GitHub][12].
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### 4\. KoboldAI
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A ChatGPT-like AI for assisted writing in the form of a browser-based front-end. While it supports a chatbot mode, it is primarily designed as an AI assistant for writing geared towards Novels.
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There are various models available, and you can run it on [Google Colab][13] easily.
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It supports different modes to optimize your writing and play with it. You can explore all about it on its [GitHub page][14].
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### 5\. GPT4ALL
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GPT4all is an interesting open-source project that aims to provide you with chatbots that you can run anywhere.
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Yes, you can run it locally on your CPU and supports almost every other GPU.
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All you need to do is install its desktop application (the chat client), and get started. Want to learn how it's made? Check out its [GitHub page][15].
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### 6\. HuggingChat
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![][16]
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Sounds familiar? Well, Huggingface's platform is used by other AI models and chatbots to showcase a demo.
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And, HuggingChat is its take on a ChatGPT alternative, which is open-source. It makes use of the community's best AI models to make the chatbot work.
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You can [take it for a spin][17], and explore the [source code][18] for more details. One can choose to use the chat application with a different back-end to meet specific requirements.
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### 7\. Koala
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Koala by [EasyLM][19] is a chatbot that you can try running locally. It is built on top of LLaMA dataset.
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You can refer to its [official blog post][20] to explore the intriguing details.
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The demo is not available at the moment. However, you can follow its [documentation][21] to try running it locally and test it out.
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### 8\. Vicuna
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![][22]
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Vicuna is yet another open-source chatbot trained on top of LLaMA. As per the developers, when evaluated using GPT-4 as a judge, it concluded that it comes close to the quality of ChatGPT.
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An interesting claim that you might want to test against. You can select the language model Vicuna and try it on [Chatbot Arena][23].
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Explore more about it on its [official blog post][24].
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### 9\. Alpaca-LoRA
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Alpaca-Lora aims to provide an instruct model using low-rank adaptation, letting you run it on a Raspberry Pi.
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The entire model can be trained using a single RTX 4090 GPU in a few hours.
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At the time, the demo was not working. You can explore all about it on its [GitHub page][25].
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### 10\. Dolly
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![][26]
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Dolly is another language model trained in the Databricks machine learning platform licensed for commercial use.
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You can take a look at the source code on [GitHub][27] and explore the model on [Huggingface][28].
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### 11\. H2oGPT
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![][29]
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H2oGPT is tailored for queries to help you summarize your documents. To achieve that, it lets you upload and view documents through its user interface, which is private to you.
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You can also initiate a conversation like ChatGPT. There are easy installers available for Windows, and macOS. A little more effort needed using Docker to set it up on a Linux machine.
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You can try the [live demo][30] of the chatbot to get an idea and explore the source code on its [GitHub page][31].
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### 12\. Cerebras-GPT
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![][32]
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Cerebras-GPT offers open-source GPT-like models trained using a massive number of parameters.
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It does not offer a chatbot. They only aim to provide open-source models that you can use for better accuracy and compute efficiency.
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You can get the model details on [Hugging Face][33].
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### 13\. OpenAssistant
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OpenAssistant was a project to give everyone access to a chatbot like ChatGPT.
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|
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For a while, they collected data from users using a demo. Now, the demo is no longer functional as the project was marked complete by the creator.
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You can utilize the project's progress and the [source][34] to build on it.
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|
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**Suggested Read 📖**
|
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|
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![][35]
|
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|
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### Wrapping Up
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ChatGPT's open-source alternatives offer various benefits to users and developers. You can choose to use an open-source chatbot or an open-source language model to build one for your business.
|
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|
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No matter what you pick, you are free to modify and use it as per your requirements, keeping the policies in mind for available language models.
|
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|
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_What is your favorite open-source ChatGPT alternative? Did we miss listing any of your favorite open ChatGPT projects? Let us know your thoughts in the comments down below._
|
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|
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--------------------------------------------------------------------------------
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|
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via: https://itsfoss.com/open-source-chatgpt-alternatives/
|
||||
|
||||
作者：[Ankush Das][a]
|
||||
选题：[lujun9972][b]
|
||||
译者：[译者ID](https://github.com/译者ID)
|
||||
校对：[校对者ID](https://github.com/校对者ID)
|
||||
|
||||
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
|
||||
|
||||
[a]: https://itsfoss.com/author/ankush/
|
||||
[b]: https://github.com/lujun9972
|
||||
[1]: https://itsfoss.com/content/images/2024/01/openchatkit-screenshot.jpg
|
||||
[2]: https://huggingface.co/spaces/togethercomputer/OpenChatKit
|
||||
[3]: https://www.together.ai/
|
||||
[4]: https://github.com/Stability-AI/stablediffusion
|
||||
[5]: https://www.together.ai/blog/redpajama-7b
|
||||
[6]: https://github.com/togethercomputer/OpenChatKit
|
||||
[7]: https://itsfoss.com/content/images/2024/01/chatrwkv.jpg
|
||||
[8]: https://huggingface.co/spaces/BlinkDL/RWKV-Gradio-2
|
||||
[9]: https://github.com/BlinkDL/ChatRWKV
|
||||
[10]: https://itsfoss.com/content/images/2024/01/colossalchat.jpg
|
||||
[11]: https://chat.colossalai.org/
|
||||
[12]: https://github.com/hpcaitech/ColossalAI/tree/main/applications/Chat
|
||||
[13]: https://colab.research.google.com/?utm_source=scs-index
|
||||
[14]: https://github.com/KoboldAI/KoboldAI-Client
|
||||
[15]: https://github.com/nomic-ai/gpt4all
|
||||
[16]: https://itsfoss.com/content/images/2024/01/huggingchat.jpg
|
||||
[17]: https://huggingface.co/spaces/huggingchat/chat-ui
|
||||
[18]: https://huggingface.co/spaces/huggingchat/chat-ui/tree/main
|
||||
[19]: https://github.com/young-geng/EasyLM#koala
|
||||
[20]: https://bair.berkeley.edu/blog/2023/04/03/koala/
|
||||
[21]: https://github.com/young-geng/EasyLM/blob/main/docs/koala.md
|
||||
[22]: https://itsfoss.com/content/images/2024/01/vicuna.jpg
|
||||
[23]: https://chat.lmsys.org/
|
||||
[24]: https://lmsys.org/blog/2023-03-30-vicuna/
|
||||
[25]: https://github.com/tloen/alpaca-lora
|
||||
[26]: https://itsfoss.com/content/images/2024/01/dolly-huggingface.jpg
|
||||
[27]: https://github.com/databrickslabs/dolly
|
||||
[28]: https://huggingface.co/databricks/dolly-v2-12b
|
||||
[29]: https://itsfoss.com/content/images/2024/01/h2ogpt.jpg
|
||||
[30]: https://huggingface.co/spaces/h2oai/h2ogpt-chatbot2
|
||||
[31]: https://github.com/h2oai/h2ogpt
|
||||
[32]: https://itsfoss.com/content/images/2024/01/cerebras.jpg
|
||||
[33]: https://huggingface.co/cerebras/Cerebras-GPT-6.7B
|
||||
[34]: https://github.com/LAION-AI/Open-Assistant?tab=readme-ov-file#how-to-try-it-out
|
||||
[35]: https://itsfoss.com/content/images/size/w256h256/2022/12/android-chrome-192x192.png
|
||||
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Reference in New Issue
Block a user