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Thursday, 5 March 2026
搭建基于nuxtjs的静态博客程序lzlb
首先fork此项目https://github.com/L33Z22L11/blog-v3,我fork后的项目地址是
https://github.com/ymbrite/lzlb,然后把项目 https://github.com/ymbrite/lzlb导入到
vercel.com/new . 在点击import按钮后,所跳转到的页面里,如下图那样填写build命令和install命令:
然后点击deploy按钮,等待部署完成。部署完成后,我得到网址https://lzlb.vercel.app/访问https://github.com/ymbrite/lzlb/tree/main/content/posts/2026,新建源帖fh.md,内容为
---
title: 战马
description: 这是一篇文章
date: 2026-03-03 18:17:00
updated: 2026-03-03 18:17:00
image: /assets/green.png
categories: [生活]
tags: [misc1, misc2, misc3]
---
此处写html codes或正文。
(详见 https://github.com/ymbrite/lzlb/blob/main/content/posts/2026/fh.md?plain=1。
green.png是我上传的,我上传到了这里:
https://github.com/ymbrite/lzlb/blob/main/public/assets/green.png。
在 https://github.com/ymbrite/lzlb/tree/main/public/assets处,进行上传)
约等2分钟,博客网站就会更新。
项目地址:
https://github.com/L33Z22L11/blog-v3
https://github.com/ymbrite/lzlb
演示博客:
https://lzlb.vercel.app/,支持分页。
https://lzlb.vercel.app/2026/fh ,所有的基于nuxt的静态博客都支持嵌入音视频。
---------------------------------------
类似的:
https://github.com/chansee97/nuxt-blog
https://github.com/ymbrite/nuxt-blog
https://nuxt-blog-roan.vercel.app/
Wednesday, 4 March 2026
Awesome-Documentation
A curated list of documentation based libraries that help build small and large-scale documentation website.
A curated list of awesome documentation-based libraries that help build small and large-scale applications with next.js.
Contents
- Technical Writing Courses By Google - Learn to write better technical documents with our courses and resources, including insights into the role of technical writers at Google.
- GitLab Technical Writing Fundamentals By GitLab - The GitLab Technical Writing Fundamentals course can help you improve your documentation by guiding grammar, writing, and topic selection.
- Creating Effective Documentation for Developers course by Linux Foundation - This course will help you understand how to write API documentation.
- How Google's Technical Writing Course Helped Me Become a Better Writer
- How to Write Your First Technical Book: Tools, Techniques, and Resources for First-time Developer Authors
- A practical guide to writing technical specs
- How to Start a Career in Technical Writing by Contributing to Open Source
- Mintlify - Mintlify is a modern standard platform to build a documentation site.
- GitBook - GitBook is a knowledge management platform for technical teams.
- Doocs - Publish a documentation site in minutes with a clean UI and powerful editor.
- Archbee - Build small and large documentation sites using modern tools and technology.
- Document360 - AI-Powered Knowledge Base Software That Scales With Your Product.
- Readme - Build a better documentation.
- Nuxt Studio - Nuxt Studio is a Git-based CMS for Nuxt that offers easy editing and limitless customization for your Nuxt Content website.
- GitHub Wiki - GitHub Wiki allows developers to create and manage documentation alongside their code in GitHub repositories.
- Hashnode Docs - Hashnode Docs helps developers and teams create and manage documentation for their product.
- Documentation.AI - The Official AI Documentation Platform. Create and publish improved documentation with Documentation AI today.
- Nextra - Nextra is a simple, powerful, and flexible site generation framework to build blogs and documents with Next.js and MDX.
- Markdoc - Markdoc is a powerful, flexible, Markdown-based authoring framework.
- Outstatic - Outstatic is a new static site content management system(CMS) built with Next.js. Special built for Next.js. It works with a page and app router.
- Content layer - The content layer works with nextjs and markdown and helps build the blog application.
- Docusaurus - Build optimized websites quickly, focus on your content.
- Lume - The fast & flexible static site generator for Deno.
- Docsify.js - A magical documentation site generator.
- Code doc - Code Doc is a simple, lightweight, easy-to-configure documentation generator for modern software documentation.
- Starlight - Build beautiful, accessible, high-performance documentation websites with Astro.
- Compodoc - Compodoc is a documentation tool for Angular applications that generates static documentation websites.
- Fumadocs - Fumadocs is a powerful framework for building documentation sites in Next.js using the power of Next.js App Router and React Component.
- MDXTS - The MDXTS is a content & documentation SDK for React and Nextjs. It helps to build a documentation website quickly and efficiently.
- Doks - Build a fantastic documentation website with Doks that is fast, accessible, and easy to use.
- Code Hike - Build rich content websites with Markdown and React.
- Type Docs - Generate the documentation for TypeScript.
- JsDoc - An API documentation generator for JavaScript.
- ReNoun - The ReNoun toolkit is documentation that matches the quality of your product.
- Docmost - Docmost is an open-source collaborative wiki and documentation software that enables effortless creation, collaboration, and sharing of knowledge.
- Docs Page - The
docs.pageis a free Open Source project, allowing you to create instant, fast, beautiful documentation with zero configuration. - Docus - Write beautiful documentation with Markdown.
- Rspress - Rspress is a fast React-based static site generator for modern documentation, blogs, and product websites.
from https://github.com/officialrajdeepsingh/awesome-documentation
Monday, 2 March 2026
小米开源2025年度报告
小米技术发布小米开源2025年度报告。小米开源继续秉持“尊重、回馈、价值”的核心价值观。在深耕AI领域的同时,进一步强化了对开源合规治理的重视。报告将重点回顾小米开源在技术突破、生态共建及人才激励三个维度的表现。
技术突破
大模型研发
2025年是小米开源技术布局收获的一年:
语言模型:发布了Xiaomi MiMo-7B模型,提升了大模型的推理性能。
多模态模型:推出跨域具身基座模型Xiaomi MiMo-Embodied,实现了自动驾驶与具身智能的统一建模。
语音模型:发布了Xiaomi MiMo-Audio模型,推动了语音交互技术的升级。
全屋智能:发布了Miloco智能家居未来探索方案。
生态共建
开源生态
开源项目:发布了MiDashengLM-7B语音理解大模型与MiMo-V2-Flash高情商模型。
合规治理:全年完成了11次开源合规业务沟通与30次项目评审,完善了开源治理体系。
AI生态
技术交流:举办了小米开源峰会暨开放原子园区行、openvela全球开发者大会等,展示了最新技术成果。
产业落地:推动了开源技术在AIoT等产业的一线落地,搭建了供需对接平台。
人才培养与未来展望
组织了多场openvela城市沙龙活动,吸引了产业界与学术界的人才参与,并通过内部评选激励了创新活力。小米开源将继续深化技术开放与生态共建,利用开源力量驱动产业创新,为全球开发者和合作伙伴创造更多价值。
原文:https://mp.weixin.qq.com/s/DHhqIb43z2Qu7AYaks4Bjg
iPhone 上跑通本地大语言模型- Fullmoon项目
Fullmoon项目是一款基于苹果生态的 iOS/macOS 本地大语言模型(LLM)聊天应用。它利用 Apple Silicon 强大的算力和 Apple 开源的 MLX Swift 框架,实现了在设备端离线运行 LLM,保证了数据隐私的安全性。遵循 MIT 开源协议.项目不仅提供了 iOS 客户端,还包含了 macOS 和 visionOS 的适配代码。
Fullmoon 核心定位是 “私有 LLM 的最简使用方式”。与传统的云端 AI 不同,Fullmoon 允许用户在 iPhone、iPad、Mac 甚至 Vision Pro 等 Apple 设备上,完全离线 地运行大语言模型。这意味着用户的对话内容不会发送到服务器,而是安全地保存在本地,摆脱了对网络连接的依赖。
Fullmoon 的实现得益于苹果对机器学习框架的深度优化。它基于 Apple 官方开源的 MLX Swift 框架。
MLX Swift:这是 Apple 在 WWDC 2025 推出的机器学习框架,专为 Apple Silicon 设计。它允许开发者在 Swift 环境中直接调用机器学习模型,利用 Metal 3 图形框架进行高效计算。
硬件加速:Fullmoon 通过底层调用 Metal,直接在 iPhone、iPad 或 Mac 的 GPU 上运行模型,提供了比传统 CPU 推理更快的速度,同时大幅降低了能耗。
为了在移动设备上流畅运行,Fullmoon 支持了多种经过量化处理的模型。
Llama-3.2 系列:支持 1B 和 3B 参数的 Instruct 版本,且采用了 4-bit 量化技术(如 Llama-3.2-1B-Instruct-4bit),极大地减少了模型大小和内存占用。
DeepSeek 系列:如 DeepSeek-R1-Distill-Qwen-1.5B-4bit 等,这些模型在保持相对较小体积的同时,仍然具备较强的推理能力。
Fullmoon 不仅仅是一个运行模型的容器,它在用户体验上也下了很大功夫:
主题与自定义:用户可以调整应用的主题颜色、字体大小,甚至自定义系统提示(system prompt),个性化程度高。
快捷指令(Shortcuts)集成:Fullmoon 支持 iOS Shortcuts,用户可以将模型的输出作为其他自动化操作的输入,实现更灵活的工作流。
离线完整体验:即便在无网络环境下,Fullmoon 依然可以调用本地模型进行对话,适合出差、旅行等场景。
源代码:https://github.com/mainframecomputer/fullmoon-ios
Apple 商店:https://apps.apple.com/us/app/fullmoon-local-intelligence/id6727014156
