QuickSilver claims 39.6% FLOP reduction in frozen LLMs via token halting, KV skipping, token fusion, and entropy-based quantization, but internal inconsistencies and missing artifacts weaken the evidence.
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QuickSilver -- Speeding up LLM Inference through Dynamic Token Halting, KV Skipping, Contextual Token Fusion, and Adaptive Matryoshka Quantization
QuickSilver claims 39.6% FLOP reduction in frozen LLMs via token halting, KV skipping, token fusion, and entropy-based quantization, but internal inconsistencies and missing artifacts weaken the evidence.