QuantaSpike: Short-Window Spike-Driven Quantization for Large Language Models
Large language models (LLMs) achieve strong performance across many tasks but rely on dense multiply-accumulate (MAC) operations during inference, resulting in high energy cost. Spiking neural networks (SNNs) offer an event-driven alternative in which synaptic integration uses lightweight accumulation. However, spike-d...
Bang Hu, Guo-Wei Zhu, Changze Lv et al.
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