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
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% similarVerifiedThe minimum GPU requirement for running Stable Diffusion is an NVIDIA GPU with 6 GB VRAM, with 8 GB VRAM or above recommended.74% similarUnverifiedThe Qwen 3.5 9B model is approximately 6.6 GB and is suited for GPUs with 8 GB of VRAM74% similarUnverifiedA 140 GB FP16 70B model can be compressed to approximately 35–40 GB after 4-bit quantization, reducing communication overhead by about 75%; 2-bit quantization can compress it to approximately 18 GB but introduces accuracy loss.73% similar
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