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@@ -115,8 +115,7 @@ This section contains libraries that are well-made and useful, but have not nece
 - [QDax](https://github.com/adaptive-intelligent-robotics/QDax) - Quality Diversity optimization in Jax. <img src="https://img.shields.io/github/stars/adaptive-intelligent-robotics/QDax?style=social" align="center">
 - [JAX Toolbox](https://github.com/NVIDIA/JAX-Toolbox) - Nightly CI and optimized examples for JAX on NVIDIA GPUs using libraries such as T5x, Paxml, and Transformer Engine. <img src="https://img.shields.io/github/stars/NVIDIA/JAX-Toolbox?style=social" align="center">
 - [Pgx](http://github.com/sotetsuk/pgx) - Vectorized board game environments for RL with an AlphaZero example. <img src="https://img.shields.io/github/stars/sotetsuk/pgx?style=social" align="center">
-- [EasyDeL](https://github.com/erfanzar/EasyDeL) - EasyDeL 🔮 is an OpenSource Library to make your training faster and more Optimized With cool Options for training and
-  serving (Llama, MPT, Mixtral, Falcon ...) in JAX <img src="https://img.shields.io/github/stars/erfanzar/EasyDeL?style=social" align="center">
+- [EasyDeL](https://github.com/erfanzar/EasyDeL) - EasyDeL 🔮 is an OpenSource Library to make your training faster and more Optimized With cool Options for training and serving (Llama, MPT, Mixtral, Falcon, etc) in JAX <img src="https://img.shields.io/github/stars/erfanzar/EasyDeL?style=social" align="center">
 - [XLB](https://github.com/Autodesk/XLB) - A Differentiable Massively Parallel Lattice Boltzmann Library in Python for Physics-Based Machine Learning. <img src="https://img.shields.io/github/stars/Autodesk/XLB?style=social" align="center">
 - [dynamiqs](https://github.com/dynamiqs/dynamiqs) - High-performance and differentiable simulations of quantum systems with JAX. <img src="https://img.shields.io/github/stars/dynamiqs/dynamiqs?style=social" align="center">