<ul><li>Scaling Mamba beyond small models could lead to new challenges.</li><li>The selection mechanism in state space models (SSMs) overcomes weaknesses on discrete modalities such as text and DNA but can impede performance on data that linear time-invariant SSMs excel on.</li><li>The empirical evaluation of Mamba is limited to small model sizes, and it remains to be seen how well it compares at larger sizes.</li><li>Scaling SSMs may involve further engineering challenges and adjustments to the model.</li></ul>

Why Scaling Mamba Beyond Small Models Could Lead to New Challenges

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