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Quick Review: SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

SpQR: A Sparse-Quantized Representation for Near-Lossless Large Language Model Weight Compression

Core Approach:

  • GPTQ without Outliers: Focuses on eliminating outliers during the GPTQ process, enabling more efficient and accurate weight compression for large language models.
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