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Elastic Selective Spectral Hybrids for Train-Once, Export-Many Budgeted Inference
Deploying a language model under different computing and latency budgets calls for compact models with different quality-cost trade-offs. Towards this end, elastic spectral state space models provide ordered and temporally decomposed channels that can be truncated, but they are associated with linea
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