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Carnegie Mellon University, Work done while the author was at Google Research.
CMU Machine Learning2
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5
Why pick just one token mixer when you can have them all, dynamically switching between attention and linear recurrences for optimal efficiency and performance?
Mamba-3 delivers a 1.8 point accuracy boost over competing models in downstream language tasks, proving that SSM-inspired techniques can unlock substantial performance gains without sacrificing inference efficiency.