QLLM introduces non-transformer architecture with O(1) inference
July 8, 2026
QLLM is a new model architecture that avoids transformer and Mamba structures to achieve O(1) inference complexity. The research, co-authored with academics from Berkeley and Indiana, aims to reduce the high costs of LLM execution.
HOW THIS AFFECTS YOU
●
builderIf the O(1) scaling claims hold, this could significantly lower the cost of running large-scale models.
●
researcherThis offers a new architectural direction for exploring non-transformer efficiency.