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Quamba: Post-training quantization for selective state space models
Background
State Space Models (SSMs) are integral to numerous advanced technologies, including natural language processing, robotics, autonomous vehicles, and edge computing systems. As these applications increasingly demand real-time processing and intelligent decision-making on devices with limited computational resources, there is a pressing...
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