Expired80% confidenceFactExact time
A standard FP32 model occupies 4 bytes per parameter, while INT4 quantization compresses this to 0.5 bytes, theoretically achieving an 8x memory saving.
4
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
GPT 5.6 Internal Testing Codename Revealed, Google Pays SpaceX $920M Monthly for Computing Power
bilibiliinfinite灵感港6/6/2026
Related Claims
VerifiedINT4 achieves 4× storage compression compared to FP16.80% similarVerified4-bit量化使模型存储空间缩减为FP16的约1/480% similarVerified4-bit量化理论上可将模型体积缩小8倍（相比32位存储）78% similarUnverifiedTernary representation theoretically requires only about 1.58 bits per parameter, which can yield nearly a 10x storage compression compared to FP16.78% similar
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