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Qift quantization method targets W2A4/KV4 LLM inference

Arxiv CS.LG (machine learning)

Proposes a shift-friendly no-zero two-bit weight level set for rotated W2A4/KV4 LLM inference, addressing collapse issues in standard W2 quantization. The method studies scalar level-set geometry to improve memory efficiency.

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8 days ago
Qift quantization method targets W2A4/KV4 LLM inference — AIBriefs