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linuxServerOptimization

作者:lordarifco

A performance-focused Fabric modpack built for low-latency multiplayer and vanilla-style gameplay, featuring FPS and quality-of-life enhancements.

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介绍

中文介绍正在准备中,下面暂时显示原文。

Overview

This modpack is built for optimized performance and seamless multiplayer experience. This pack is ideal for private SMP servers, lightweight survival playthroughs, or anyone who wants better performance without sacrificing vanilla mechanics on their servers. This pack also contains some QoL mods. This pack is intended for server-side use, and as such does not include any fps specific improvment mods.

Performance Enhancements

  • Fabric API – required base for Fabric mods
  • FerriteCore – reduces and optimizes memory usage
  • Lithium – optimizes game logic for better server/client performance
  • C2ME – improves chunk performance and generation
  • (Removed until 1.21.11 Support) Krypton – speeds up networking for improved latency and connection stability

Quality of Life

  • ShulkerBox Tooltip – view contents of shulker boxes in your inventory
  • AppleSkin – shows hunger/saturation values for food
  • Text Formatting Everywhere – allows color codes in signs, books, and more
  • Disconnect Packet Fix – prevents rare disconnect bugs and improves stability

Multiplayer

  • (Removed until 1.21.11 Support) Global Villager Discounts – applies Hero of the Village discounts globally
  • Chunky – allows for the pregeneration of chunks

包含的模组 9 个

绿色边框的模组本站有收录,点进去看中文介绍;其余跳转到 Modrinth。

常见问题

linuxServerOptimization 支持哪些 Minecraft 版本?

linuxServerOptimization 支持 Minecraft Java 版 1.21.5–26.2,共 5 个版本,可用的加载器:Fabric。下载时注意选择和你游戏版本一致的文件。

linuxServerOptimization 怎么安装?

点本页「前往下载」拿到整合包文件(Modrinth 的是 .mrpack,CurseForge 的是 .zip),在 PCL2 或 HMCL 启动器里选择「导入整合包」,启动器会自动装好 Minecraft、加载器和全部模组。这个整合包有 9 个模组,建议在启动器里给游戏分配 4–6 GB 内存。

linuxServerOptimization 开服需要多大内存?

推荐服务器内存 12 GB。在线人数多、或者建了大量机器和区块加载器时,可以再加 2–4 GB。

怎么和朋友一起玩 linuxServerOptimization?

点本页的「一键开服」,选好配置后会自动安装 linuxServerOptimization 的服务端,几分钟就能开好。把服务器地址发给朋友,大家用同一个版本的整合包连进去就行。

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