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QTEA: Ternary LLMs with Sparse Residual Salient Weight and By-Column Optimization
Weight-only post-training quantization (PTQ) can alleviate the computational burden of serving large language models (LLMs) at scale. However, existing PTQ methods often fail to generalize across models and suffer severe accuracy loss below 2 bits. Many leverage unstructured sparsity to mitigate thi
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