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• LoRDS provides element-wise quantization that is as efficient as block-wise scaling while offering strictly superior expressive power.method 90%
• LoRDS achieves up to 27.0% accuracy improvement at 3 bits over NormalFloat quantization on Llama3-8B.result 95%
• LoRDS delivers 1.5x inference speedup on NVIDIA RTX 4090 compared to state-of-the-art baselines.result 90%
• LoRDS enables high-rank weight updates within a low-rank budget while incurring no additional inference overhead.technical 85%
• LoRDS enhances PEFT performance by 9.6% on downstream tasks over 4bit QLoRA.result 90%
• The method relies on continuous optimization which may not be feasible in certain hardware environments.limitation 80%
• LoRDS consistently outperforms state-of-the-art baselines across various model families in both quantization and downstream fine-tuning tasks.result 85%
• LoRDS provides a unified framework that rethinks quantization granularity through low-rank decomposition of scaling matrices.method 90%

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