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SignRoundV2: Toward Closing the Performance Gap in Extremely Low-Bit Post-Training Quantization for LLMs
LLM极低比特量化新突破：SignRoundV2大幅缩小性能差距，实现高效训练后量化
arXiv:2512.04746v2 Announce Type: replace Abstract: Extremely low-bit quantization is critical for efficiently deploying Large Language Models (LLMs),…