Unverified50% confidenceFactExact time
Consumer-grade graphics cards (such as those with 16GB of VRAM) can usually run 7B~14B quantized models; larger models require multiple cards or CPU offloading, and speed drops noticeably.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
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Related Claims
Unverified在12GB显存的显卡上运行9B模型时，通常采用4-bit量化（如Q4_K_M格式）以降低显存占用78% similarUnverifiedThis solution allows a GPU with 16GB of VRAM to run a 27B-class model with a 192K context and vision capability, but the speed ceiling is constrained by hardware bandwidth.77% similarVerifiedConsumer-grade graphics cards typically have only 8–24 GB of VRAM, which limits the scale of models that can be run.76% similarVerifiedA 30B parameter model that originally required 60 GB of VRAM can run on consumer-grade GPUs with 16 GB or even 8 GB of VRAM after quantization.75% similar
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