Unverified50% confidenceFactExact time

Meta的Llama 3.1 70B参数模型以FP16加载约需140GB，405B参数模型以FP16加载约需810GB，INT4量化后约202GB

1

Sources

50%

Confidence

Long-term

Relevance

7/14/2026

First Seen

Sources

苹果M7 Ultra芯片曝光：1.5TB统一内存能否重塑本地AI推理格局

Related Claims

VerifiedA 70B-parameter FP16 model requires approximately 140 GB of video memory, approximately 70 GB after INT8 quantization, and approximately 35–40 GB after INT4 quantization.83% similar UnverifiedMeta Llama 3的405B参数版本以BF16精度加载需约810GB内存，量化至INT4精度需约200GB78% similar

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