Unverified50% confidenceBenchmarkExact time
对于7B至13B参数级别的模型，4-bit量化后的输出质量与全精度版本差异很小
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Long-term
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8/26/2026
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Related Claims
Unverified在4-bit量化下，纯参数理论最小占用为：7B约3.26GiB，13B约6.05GiB，32B约14.90GiB，70B约32.60GiB77% similarUnverified万象模型提供了 1.3B 和 14B 参数量的不同规模版本77% similarUnverifiedThe MiniCPM series achieves performance close to 7B and even 13B models on multiple benchmarks with a parameter count at the 2B–4B level75% similarVerifiedThe larger the number of model parameters, the greater the robustness to quantization, allowing 70B-level models to maintain performance close to FP16 after 4-bit quantization.75% similarUnverified研究表明当模型参数规模达到3B以上时，1.58-bit模型在多项基准测试中表现可接近甚至匹配同等规模的全精度模型72% similar
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