Kanghyun Noh

QTALE: Quantization-Robust Token-Adaptive Layer Execution for LLMs

Large language models (LLMs) demand substantial computational and memory resources, posing challenges for efficient deployment. Two complementary approaches have emerged to address these issues: token-adaptive layer execution, which reduces floating-point operations (FLOPs) by selectively bypassing …