Open-weight & owned stack · Quantization efficiency
PolarQuant Proposes Near-Lossless LLM Weight Compression
PolarQuant proposed Hadamard-rotation post-training quantization to compress LLM weights while preserving performance under Gaussian weight assumptions.
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