Ollama

  • Published on
    In the development and deployment of modern cloud-native applications, Kubernetes has become the most popular container orchestration tool. Ollama, a tool for efficiently installing large models, can be perfectly integrated with Kubernetes to achieve efficient and scalable large model deployments. This article will teach you how to deploy Ollama in Kubernetes in 10 minutes.
  • Published on
    Meta recently released Llama 3.1, but its performance in Chinese processing is mediocre. Fortunately, a fine-tuned, Chinese-supported version of Llama 3.1 is now available on Hugging Face. This article will guide you step-by-step on how to install this powerful model on your Mac and conduct detailed tests, allowing you to enjoy a smooth Chinese AI experience effortlessly. Ready? Let’s get started!
  • Published on
    Due to restrictions from schools, companies, or other external environments, many people cannot use external closed-source large models like OpenRouter and OpenAI. Recently, many people have been asking how to use their own deployed Ollama model in the Smart Connection plugin of Obsidian. To meet everyone’s needs, we have specially created this tutorial to teach you how to seamlessly integrate the Ollama model in the Smart Connection plugin of Obsidian. We hope this guide will provide inspiration and help to make your note-taking system more intelligent and efficient!
  • Published on
    Meta公司最近发布了Llama 3.1，[但在中文处理方面表现平平](https://www.ifb.me/blog/ai/cloudflarellama31-mi)。幸运的是，现在在Hugging Face上已经可以找到经过微调、支持中文的Llama 3.1版本。这篇文章将手把手教你如何在自己的Mac电脑上安装这个强大的模型，并进行详细测试，让你轻松享受流畅的中文AI体验。准备好了吗？让我们一起开始吧！
  • Published on
    在现代云原生应用的开发和部署过程中，Kubernetes 已成为最流行的容器编排工具。而 Ollama 作为一款高效安装大模型的工具，能与 Kubernetes 完美结合，实现高效、可扩展的大模型部署。本文将带你在 10 分钟内学会如何在 Kubernetes 中部署 Ollama。
  • Published on
    由于学校、公司或其他外部环境的限制，很多小伙伴无法使用诸如 OpenRouter、OpenAI 这样的外部闭源大模型。而最近也有不少人在留言中询问，如何在 Obsidian 的 Smart Connection 插件中使用自己搭建的 Ollama 模型。为了响应大家的需求，我们专门制作了这篇教程，教你如何在 Obsidian 的 Smart Connection 插件中无缝集成 Ollama 模型。希望这篇指南能为大家带来灵感和帮助，让你的笔记系统更加智能高效！ ## 本地下载 Ollama 并运行模型 ### 安装 Ollama #### macOS