TweakergeCompat

Fix the conflict between Tweakerge and other mods.

1.6K Downloads

forgeutility

Rent Server with this Mod

About this Mod

TweakergeCompat

Fix the conflict between Tweakerge and other mods.

Why not merge into Tweakerge?

This is a development level issue, simply because each mod uses different mappings, which could lead to development level complexity if merged. (loom's remap for mods that use mojmap is not too good)

Compat Patchs

Fix compat with TACZ.

Available Versions

0.1.1+mc1.18.2alpha

MC 1.18.2forge

September 10, 2024

0.1.0+mc1.18.2alpha

MC 1.18.2forge

August 26, 2024

How to Install TweakergeCompat on Your Server

Order Server

Order a Minecraft Java server with at least 3 GB RAM (4 GB recommended).

Set forge Loader

In the panel under "Egg", select the forge loader and matching Minecraft version (1.18.2).

Install Mod

Open the mod browser in the dashboard and search for "TweakergeCompat". Click "Install" – done! Alternatively, upload the .jar via SFTP to the /mods folder.

Compatibility

Mod Loaders

forge

Minecraft Versions

1.18.2

Server-side

✗ Unsupported

Recommended RAM

4 GB(min. 3 GB)

Frequently Asked Questions

TweakergeCompat server crashes on startup – what to do?

Most common cause: wrong forge version or insufficient RAM. Check the server log (latest.log) for "OutOfMemoryError" or "Mixin" errors. With Mado Hosting: ensure at least 3 GB RAM is allocated and the loader matches the mod version (1.18.2). You can switch loaders with one click in the panel.

Is TweakergeCompat compatible with forge?

TweakergeCompat officially supports forge for Minecraft 1.18.2. The Mado dashboard automatically detects incompatible loader combinations.

Server lagging with TweakergeCompat – how to optimize performance?

Recommended RAM: 4 GB (per 8 players). Use /spark profiler to check if TweakergeCompat consumes the most tick time. Common fixes: reduce server view-distance to 8-10, install "performant" or "starlight" as supplementary mods on Forge. With Mado Hosting, your server runs on NVMe SSDs with dedicated CPU cores for minimal latency.