In this competition, we challenge participants to create teams of 8 agents to complete a variety of tasks involving foraging, combat, tool acquisition and usage, and item trading in Neural MMO 2.0, a simulated environment featuring 128 players and procedurally generated maps. The competition includes two tracks focused on multi-agent reinforcement learning and curriculum generation, respectively. This is the fourth challenge on Neural MMO, and the previous competitions have all yielded state-of-the-art performance on earlier versions of this environment as well as more general improvements to learning methods. We will provide the full source code of the environment, an easy to use starter kit, baselines for both tracks, and 200,000 A100 hours of GPU time for training and evaluating participants' submissions. Success in this competition would produce robust, task-conditional learning methods and establish a new benchmark for the same.