Unverified60% confidenceFactExact time
70B模型在INT4精度下可压缩至约35GB
2
Sources
60%
Confidence
Long-term
Relevance
7/20/2026
First Seen
Sources
Related Claims
UnverifiedINT4 量化模型有望在 8GB 乃至更低显存的显卡上完成原本需要 16GB 或 24GB 显存的模型推理83% similarUnverified140GB的FP16 70B模型经4-bit量化后可压缩至约35-40GB，通信开销降低约75%；2-bit量化可压缩至约18GB但带来精度损失81% similarVerified32B参数规模的模型在量化后通常可以压缩到约16-20GB显存占用，一张NVIDIA RTX 4090（24GB显存）就能运行80% 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80% similarVerified一个70B参数的FP16模型大约需要140GB显存，INT8量化后约需70GB，INT4量化后约需35-40GB77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/566568API
curl https://kongchang.com/api/v1/knowledge/claims/566568MCP
get_claim(id=566568)