Open LLMs shift from full attention to hybrid architectures, Raschka says
Overview
Sebastian Raschka says open LLM architectures moved from full attention models toward hybrids in 2025 and 2026.
He reports a 50/50 split in the second half of 2026 between hybrid models and models with no full attention layers. Raschka says this trend makes long contexts cheaper, because it requires less attention computation and less memory to retain context.
Written by AI from the articles below · updated Nov 10, 11:43 AM ET
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Sebastian Raschka@rasbtXSebastian Raschka says open LLMs are moving away from full attentionAISebastian Raschka says open LLM architectures shifted from full attention models toward hybrids in 2025 and 2026. In the second half of 2026, he reports a 50/50 split between hybrid models and models with no full attention layers. He says the trend makes long contexts cheaper, through less attention computation and less memory for retaining context.

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