Open the folder named 5: SD Card install or 6: NAND install .
A common source of confusion is region incompatibility between these pieces. If your base game is from the USA region, your update, Sunbreak DLC, and DLC pack must all be for the USA region as well. Using a JPN DLC pack on a USA base game will likely not work.
| Format | Best For | Size (Base Game) | Install Method | |--------|--------------------------------------------|------------------|---------------------------| | NSP | eShop digital backup, updates, DLC | ~10–13 GB | Install via Tinfoil/DBI | | XCI | Physical cartridge dump (single file) | ~10–13 GB | Run directly via SX OS or install as NSP | monster hunter rise switch nsp xci usa jpn dl install
This is a dump of a physical game cartridge. Many collectors prefer XCI because it can "bundle" the base game, updates, and DLC into a single file, making management easier.
Built primarily for the Japanese market, but often includes multi-language support (including English text) depending on the specific revision. Save File and DLC Compatibility Open the folder named 5: SD Card install or 6: NAND install
Select the Monster Hunter Rise NSP/NSZ file to start the installation. Method C: Playing XCI Files (XCI)
Disclaimer: This article is for informational purposes for users with custom firmware on their own consoles. Downloading games you do not own is illegal. Using a JPN DLC pack on a USA base game will likely not work
on the Nintendo Switch, covering everything from official digital downloads to physical cartridge setups. Official Installation Methods
If the transfer cuts off midway, check if your microSD card has dropped offline or if you have exceeded the file size limit on a poorly formatted card.
A simpler alternative to C++ programming: use the Python language to exploit the capabilities of Chrono.
PyChrono is the Python wrapper of the Chrono simulation library. It is cross-platform, open source, and distributed as pre-compiled binaries using Anaconda. Using Chrono in Python is as easy as installing the Anaconda PyChrono package and typing import pychrono in your preferred Python IDE.
You can use PyChrono together with many other Python libraries: plot using MayaVi, postprocess with NumPy, train AI neural networks with TensorFlow, etc.