Taylor-Calibrate: Principled Initialization for Hybrid Linear Attention Distillation
Hybrid linear attention models can be improved through a novel initialization technique that enhances conversion from pretrained Transformers by leveraging teacher attention statis…
Hugging Face · Daily Papers
·Zhongzhu Zhou, Qingyang Wu
·
·▲ 5 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Zhongzhu Zhou, Qingyang Wu, Junxiong Wang, Mayank Mishra, Shuaiwen Leon Song, Ben Athiwaratkun
- 5 upvotes da comunidade
- Temas: hybrid linear attention models, full softmax attention, Gated DeltaNet, teacher-student learning, Taylor-guided initialization, memory timescale
Resumo
Resumo original (em inglês), extraído do paper:
Hybrid linear attention models can be improved through a novel initialization technique that enhances conversion from pretrained Transformers by leveraging teacher attention statistics and alignment steps.
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