Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models

In three linesNovel 1-bit LLM quantization method leveraging pre-trained models. Uses consistent progressive training (forward/backward) with binary-aware initialization and dual-scaling compensation to convert weights to binarized representation. Reduces training costs and accuracy degradation versus existing approaches.

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