PolyQ: Efficient CPU-Focused Quantization for Scalable LLM Inference

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PolyQ is a CPU-oriented compiler and quantization co-design that enables activation-aware channel-wise bit allocation for low-bit quantization under a user-specified average-bit budget. It improves on existing methods by providing fine-grained bit-width assignment that is efficient to execute on CP...

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CPUs are the most universal hardware for on-device LLM inference, but current quantization methods either lack flexibility or efficiency on CPUs. PolyQ addresses this by optimizing bit allocation per channel, enabling scalable and efficient LLM inference on edge CPUs.

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