Unverified50% confidenceFactExact time
Meta 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200GB
1
Sources
50%
Confidence
Long-term
Relevance
7/16/2026
First Seen
Sources
Related Claims
UnverifiedMeta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202GB78% similarUnverified一个1T参数模型以BF16精度存储需要约2TB显存，INT4量化压缩也需500GB以上77% similarUnverifiedLlama 3 70B量化版（Q4精度）仍需约35GB内存76% similarVerifiedThe weights alone of the Llama-3 70B model require approximately 140 GB of VRAM at FP16 precision.75% similarVerifiedA GPT-4-class model with 175 billion parameters requires approximately 175 GB of VRAM even when stored at fp8 precision.75% similar
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