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FidelityQ: Preserving Predictive Fidelity in Ultra-Low-Bit Language Model Quantization
Ultra-low-bit scalar quantization offers a regular arithmetic structure for efficient deployment of large language models, but preserving predictive behavior at extreme precision remains challenging: with only a few reconstruction levels, accurate weight representation must translate into consistent
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