Unverified50% confidenceFactExact time
A 501B-parameter model requires approximately 1TB of VRAM for its full weights in FP16 format.
1
Sources
50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
Sources
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Related Claims
Unverified2.4万亿参数模型在BF16精度下考虑KV Cache和激活值后实际约需1.4-1.5TB显存73% similarUnverifiedLoading a model with N parameters at FP16 precision requires approximately 2N bytes of video memory.69% similarUnverifiedThe open-sourced model has a total of 305B parameters and is distributed in the form of 48 weight shards.64% similarUnverifiedThe maximum value of FP16 is approximately 65504; its dynamic range is smaller than that of BF16 and is prone to overflow issues.64% similarUnverifiedUnder FP4/INT4 quantization, the model size is approximately one-quarter of that under FP16.63% similar
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