Unverified85% confidenceFactTime unknown
经过SVDQuant的4-bit量化后，FLUX模型显存需求可从约24GB降至约6GB
1
Sources
85%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
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Related Claims
UnverifiedA 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.76% similarUnverifiedINT4 quantized models are expected to complete on GPUs with 8 GB or even less VRAM the model inference that originally required 16 GB or 24 GB of VRAM.75% similarUnverifiedOllama uses quantization schemes such as Q4_K_M by default, reducing the VRAM requirement for a 31B-parameter model from approximately 62GB (FP16) to approximately 20GB.75% similarUnverifiedQ3_K_M compresses each weight to approximately 3 bits, reducing the weight size of a 27B model to approximately 12–13 GB.75% similar
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