Campuslounge Hardcore Challenge
A small hardcore challenge modpack, that adds some quality of live improvements and a point system.
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介绍

This pack is designed for an two player hardcore challenge run. The goal for these two players is to gather as much points as possible, before one of them dies. The tasks that give points can be found on an custom advancements page.
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The pack was originally created for the hardcore challenge runs on the german twitch channel hsrt_campuslounge with the idea being, that multiple teams could play against each other. To compare how well the teams did, a custom point system was implemented through a datapack.
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Since this pack is a vanilla plus hardcore challenge, it does not add any extra gameplay features, besides a point system. It only enhances features of the game, that already exists. Therefore some of the feature highlights are:
- Custom point system with a custom datapack
- Better world generation with Geophilic, Structory, Towns and Towers
- Better end with Nullscape and Moog’s End Structures
- Overhauld visuals with Complementary Shader and many included resourcepacks
- Many quality of life improvements
- And more!
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A special thanks goes to the whole CampusLounge twitch team for giving me the chance to create and publish this modpack. I also want to thank all of the teams that are going to play this pack on stream, since for me it is very special to have other people playing the stuff I create.
包含的模组 104 个
展开全部 104 个
左侧绿标的模组本站有收录,点进去看中文介绍;其余跳转到 Modrinth。
常见问题
Campuslounge Hardcore Challenge 支持哪些 Minecraft 版本?
Campuslounge Hardcore Challenge 基于 Minecraft Java 版 1.21.5,使用 Fabric 加载器。
Campuslounge Hardcore Challenge 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 104 个模组,建议在启动器里给游戏分配 4–6 GB 内存。
Campuslounge Hardcore Challenge 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 Campuslounge Hardcore Challenge?
点本页的「一键开服」,选好配置后会自动安装 Campuslounge Hardcore Challenge 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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