Unverified50% confidenceFactExact time
At BF16 precision, each model parameter requires 2 bytes of storage.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedThe model weights alone of a 175-billion-parameter model (in BF16 precision) require 350 GB of storage, and the Adam optimizer must maintain two sets of states—first-order moments and second-order moments—totaling more than 1 TB.76% similarUnverifiedFP16格式下，大模型显存需求的估算公式为：参数量 × 2 = 所需显存（GB），即每个参数以16位（2字节）浮点数存储76% similarVerifiedUsing float16 precision as a baseline, each parameter occupies approximately 2 bytes, meaning a 7B model requires approximately 14GB of VRAM/memory, and a 70B model requires approximately 140GB.74% similarUnverifiedUnder BF16, weight updates occupy 2 bytes per parameter, meaning the raw data volume of a single weight update for a large model with tens of billions of parameters can reach tens of gigabytes.71% similarUnverifiedInferencing a 1T-parameter MoE model requires hundreds of gigabytes of VRAM even with BF16 half-precision storage, far exceeding the capacity limit of consumer-grade GPUs.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1058473API
curl https://kongchang.com/api/v1/knowledge/claims/1058473MCP
get_claim(id=1058473)