Cross-Architecture Distillation Recipe for Mamba State Space Models
November 11, 2026
A new distillation method enables transferring knowledge from pretrained Transformers to Mamba-like architectures. This addresses previous failures where simple distillation procedures could not preserve the original performance of Transformer teacher models.
HOW THIS AFFECTS YOU
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builderYou might be able to run faster, lower-memory models that retain the intelligence of much larger Transformers.
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researcherYou can use this method to bridge the performance gap when training SSMs against Transformer teachers.