Unverified50% confidenceFactExact time
int8量化将参数从16位压缩至8位，理论上减少约50%显存占用；int4将显存占用降低至原始的25%左右
1
Sources
50%
Confidence
Long-term
Relevance
7/16/2026
First Seen
Sources
Related Claims
Unverified通过INT8或INT4量化，可将模型显存占用降低50%至75%81% similarUnverifiedINT8 quantization loses approximately 0.5% accuracy while halving VRAM usage; INT4 quantization compresses VRAM to 1/4 of the original with an accuracy loss of approximately 1–3%.81% similarVerifiedINT4 quantization compresses neural network weights from FP32 to a 4-bit integer representation, reducing model size by approximately 8 times.77% similarUnverified4-bit quantization reduces model size to 1/8 of the original at the cost of approximately 1–3% accuracy loss.76% similar
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