Unverified50% confidenceBenchmarkExact time
Whisper large-v3 从 FP16 量化至 INT8 后显存需求约从10GB降至5GB，使其可在消费级8GB显卡上运行
1
Sources
50%
Confidence
Long-term
Relevance
7/10/2026
First Seen
Sources
视频转笔记+知识库：AI辅助学习工作流实战指南
bilibili罔人端7/5/2026
Related Claims
UnverifiedWhisper原始FP32版本的Tiny模型约150MB，经INT8量化后可压缩至约40MB，在树莓派4B上可实现实时转写77% similarUnverified本地运行 Whisper large 版本至少需要8GB 显存的 GPU75% similarVerified运行Stable Diffusion的最低显卡要求为NVIDIA 6GB显存，推荐8GB显存及以上74% similarUnverified千问3.5 9B模型约6.6GB，适合8GB显存的显卡74% similarUnverified140GB的FP16 70B模型经4-bit量化后可压缩至约35-40GB，通信开销降低约75%；2-bit量化可压缩至约18GB但带来精度损失73% similar
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