How Tencent Packed a 770B-Parameter Model into 214 GiB
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How Tencent Packed a 770B-Parameter Model into 214 GiB Shrinking Hy4 preview's weights from roughly 1.5TB to 214 GiB is one challenge. Preserving useful capabilities and practical inference speed is another. How did @TencentHunyuan tackle both? Zhihu contributor yghstill, a member of Tencent Hunyuan's quantization team, explains the engineering behind it. The parameter count remains 770B; the compression changes how those weights are represented. Four weights, five bits Sherry is the quantization algorithm, STQ1_0 the storage format, and MIX-STQ1_0 the mixed-precision allocation scheme. Each
Posted by Zhihu Frontier (12.2k followers) 18 h ago · 38 likes · 6.9k views · view the original post on X. Kept by the Dev Radar as Other.
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