SDFP: Speculative Decoding with FIT-Pruned Models for Training-Free and Plug-and-Play LLM Acceleration
SDFP: Speculative Decoding with FIT-Pruned Models for Training-Free and Plug-and-Play LLM Acceleration explores SDFP offers a training-free framework to accelerate LLMs by layer pruning, optimizing low-latency multimedia applications.. Commercial viability score: 7/10 in LLM Acceleration.
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