Unverified60% confidenceFactTime unknown
The DeepSeek 8B model compresses the model file to approximately 4.7 GB through 4-bit quantization.
2
Sources
60%
Confidence
Long-term
Relevance
6/2/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedQuantized DeepSeek models require several GB of VRAM, and Stable Diffusion inference typically requires 4–8 GB of VRAM.79% similarUnverifiedDeepSeek-R1等模型的权重文件体积高达数百GB78% similarVerified4-bit quantization compresses each parameter to 0.5 bytes, theoretically compressing 140GB down to approximately 35–40GB.77% similarUnverifiedCombining pruning and quantization can compress a large model that originally required tens of GB of VRAM down to a few GB or even a few hundred MB, enabling it to run on edge devices.76% similarUnverifiedUnsloth 通过 4-bit/8-bit 量化感知训练与动态激活卸载技术，可将 7B 模型的微调显存需求压缩至约 4–6 GB75% similar
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