Unverified85% confidenceFactTime unknown
LoRA可以将可训练参数量减少99%以上
1
Sources
85%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
大模型学习路线：七大板块从入门到项目实战全解析
bilibili全栈AI开发
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Related Claims
UnverifiedLoRA等参数高效微调技术可将显存需求降低60%以上76% similarUnverifiedLoRA将可训练参数量从d²降低到2dr，其中r通常为4-6475% similarUnverifiedLoRA微调只需训练不到1%的参数即可达到接近全参微调的效果，显存需求大幅降低至单张消费级显卡可承受范围74% similarPartially Verified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%71% similarVerified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68% similar
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