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SAGE: Pushing 2-Bit Vector-Quantized LLMs toward Real-World Usability
Extreme low-bit weight-only quantization is an effective approach to reducing the deployment costs of large language models. Below 3 bits, scalar quantization often suffers severe accuracy loss, while vector quantization (VQ) better preserves accuracy through more expressive joint encoding. However,
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