jdjg-dalek-tardis

This adds a new TARDIS interior to Dalek Mod and is designed for what daleks would likely use.

1.5K Downloads

datapackforgedecoration

Rent Server with this Mod

Screenshots

About this Mod

This adds a new interior designed for what the daleks would likely use.

Available Versions

Test Release 3release

MC 1.16.5forge

November 27, 2023

Test Release 3release

MC 1.16.5datapack

November 27, 2023

Test release 2release

MC 1.16.5forge

November 27, 2023

Test release 2release

MC 1.16.5datapack

November 27, 2023

How to Install jdjg-dalek-tardis on Your Server

Order Server

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

Set datapack Loader

In the panel under "Egg", select the datapack loader and matching Minecraft version (1.16.5).

Install Mod

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

Compatibility

Mod Loaders

datapackforge

Minecraft Versions

1.16.5

Server-side

✓ Required

Recommended RAM

4 GB(min. 3 GB)

Frequently Asked Questions

jdjg-dalek-tardis server crashes on startup – what to do?

Most common cause: wrong datapack 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 (1.16.5). You can switch loaders with one click in the panel.

Is jdjg-dalek-tardis compatible with datapack and forge?

jdjg-dalek-tardis officially supports datapack, forge for Minecraft 1.16.5. The Mado dashboard automatically detects incompatible loader combinations.

Server lagging with jdjg-dalek-tardis – how to optimize performance?

Recommended RAM: 4 GB (per 8 players). Use /spark profiler to check if jdjg-dalek-tardis 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.