Partially Verified65% confidenceFactExact time

对于一个4096×4096的权重矩阵，LoRA可能只需要训练两个4096×8的矩阵，将可训练参数量从约1600万降低到约6.5万，减少了99.6%

3

Sources

65%

Confidence

Medium-term (~90 days)

Relevance

7/2/2026

First Seen

Valid until: 9/30/2026

Sources

AI大模型学习路线拆解：三阶段从应用开发到模型微调

bilibiliAI因斯坦大模型6/13/2026

Related Claims

VerifiedLoRA中低秩矩阵的秩r通常设为8或16，可训练参数量从d×k降至r×(d+k)，降幅可达数百倍78% similar Unverified对LLaMA-7B所有注意力层应用r=8的LoRA，可训练参数量从70亿降至约400万，压缩比超过1750倍71% similar UnverifiedLoRA可以将可训练参数量减少99%以上71% similar Verified对于一个 70 亿参数的模型，LoRA 通常只需训练不到 1% 的参数量，显存需求可降低 60% 以上70% similar

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