Verified65% confidenceFactExact time
A 70B model can be compressed to approximately 35GB at INT4 precision.
3
Sources
65%
Confidence
Long-term
Relevance
7/20/2026
First Seen
Sources
Related Claims
VerifiedA 140 GB FP16 70B model can be compressed to approximately 35–40 GB after 4-bit quantization, reducing communication overhead by about 75%; 2-bit quantization can compress it to approximately 18 GB but introduces accuracy loss.81% similarVerifiedModels with 32B parameters can typically be compressed to approximately 16–20 GB of VRAM usage after quantization, and can be run on a single NVIDIA RTX 4090 (24 GB VRAM).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% similarVerifiedA 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.77% similar
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