- Downloads
- 4.5K
- Mod loaders
- fabric
- Minecraft versions
- 1.21, 1.20.6, 1.20.1
- Categories
- lightweight, optimization
Smooth FPS screenshots

About this modpack
Welcome to the Smooth FPS Modpack!
this meticulously curated modpack is designed to deliver a seamless and optimized Minecraft adventure. Focusing on somewhat improved performance, a smoother interface, and select quality-of-life enhancements, Smooth FPS offers an elevated gameplay experience without overwhelming your system. Key Features: ________________________________________________________________
Optimized Performance: Enjoy a slight boost in FPS with a collection of performance-enhancing mods, ensuring a smooth and lag-free experience. ________________________________________________________________
Smoother Interface: Quite literally, a smoother interface. Everything you do is designed to feel smooth and fluid. ________________________________________________________________
Quality of Life Improvements: Benefit from carefully selected mods that add convenience and efficiency to your gameplay, including Zoom, Improved Sounds, Fancy Eating Animations, and more. ________________________________________________________________
Lightweight and Efficient: Designed to run efficiently on a wide range of systems, Smooth FPS ensures you can enjoy a rich Minecraft experience without the need for high-end hardware. ________________________________________________________________
Dive into Smooth FPS and rediscover Minecraft with slight improved performance, a smoother interface, and enhanced convenience. Whether you're a seasoned player or new to Minecraft, this modpack offers the perfect blend of simplicity and added details without costing you any performance.
-made by kirbyiskool (1.20+) IF ANYTHING BREAKS DM ME ON DISCORD: kirbyoui
Modpack wiki coverage
Orca uses the project's published metadata and version files as the source of truth. Item, block, mob, recipe, structure, dimension, GUI, and mechanic pages are added after their included mod files are extracted and attributed.