Verified65% confidenceFactExact time

INT4 achieves 4× storage compression compared to FP16.

3

Sources

65%

Confidence

Long-term

Relevance

7/12/2026

First Seen

Sources

INT4 ConvRot W4A4 Quantization: Running Large Image Models on Low-VRAM GPUs in ComfyUI

redditr/comfyui7/11/2026

Related Claims

Verified4-bit量化使模型存储空间缩减为FP16的约1/478% similar Unverified一张1024×1024的未压缩RGBA纹理占据4MB存储空间75% similar VerifiedQuantized KV caches (such as storing KV vectors in FP8 or INT4) can compress the cache size to 1/2 or even 1/4 of the original.75% similar

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