Torch Key [Forge]

Adds a hotkey to place a torch from your hotbar.

768 Downloads

forgeutility

Rent Server with this Mod

About this Mod

Adds a hotkey to place a torch from your hotbar.
This is forge version of Torchkey.

List of items which must be used as torches you can find and edit in config file.

Available Versions

1.0.1release

MC 1.7.10forge

April 6, 2023

1.0.0release

MC 1.7.10forge

April 3, 2023

1.2.0release

MC 1.19.3forge

April 2, 2023

1.1.0release

MC 1.18.1, 1.18.2forge

April 2, 2023

How to Install Torch Key [Forge] 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 (1.19.3).

Install Mod

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

Compatibility

Mod Loaders

forge

Minecraft Versions

1.19.3, 1.18.2, 1.18.1 (+2 more)

Server-side

✗ Unsupported

Recommended RAM

4 GB(min. 3 GB)

Frequently Asked Questions

Torch Key [Forge] 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 (1.19.3). You can switch loaders with one click in the panel.

Is Torch Key [Forge] compatible with forge?

Torch Key [Forge] officially supports forge for Minecraft 1.19.3, 1.18.2, 1.18.1. The Mado dashboard automatically detects incompatible loader combinations.

Server lagging with Torch Key [Forge] – how to optimize performance?

Recommended RAM: 4 GB (per 8 players). Use /spark profiler to check if Torch Key [Forge] 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.