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Home » The Huawei Zurich laboratory unveils Sinq, an open source quantification method which, according to her, can reduce the use of LLM memory from 60 to 70% without significant loss of quality (Carl Franzen / Venturebeat)
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The Huawei Zurich laboratory unveils Sinq, an open source quantification method which, according to her, can reduce the use of LLM memory from 60 to 70% without significant loss of quality (Carl Franzen / Venturebeat)

Stacey D. WallsBy Stacey D. WallsOctober 4, 2025No Comments
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Carl Franzen / Venture::

Zurich Lab of Huawei reveals Sinq, an open source quantification method which, according to her, can reduce the use of LLM memory from 60 to 70% without significant quality loss– – Double axis scale: instead of using a single scale factor to quantify a matrix, SINQ uses separate scaling vectors for lines and columns.



Carl Franzen Huawei Laboratory LLM loss memory method Open quality quantification reduce significant Sinq source unveils Venturebeat Zurich
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Global DRAM supply is expected to meet only 60% of demand through 2027; memory will reach around 40% of low-end smartphone manufacturing costs by mid-2026, up from 20% currently (Nikkei Asia)

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