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Qift: Shift-Friendly No-Zero W2 Post-Training Quantization for Rotated W2A4/KV4 LLM Inference

arXiv cs.LG · 2d ago Cached

This paper introduces Qift, a fixed no-zero two-bit weight quantization level set designed for Hadamard-rotated LLMs, achieving improved W2A4/KV4 inference by leveraging the near-zero-centered Gaussian-like distribution of rotated weights. Experiments on LLaMA-2-7B and LLaMA-3.1-8B show consistent perplexity gains over standard W2 quantization.

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