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Algebraic Integer Quantization for Machine Learning Applications
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quantizationlarge language modelsinteger arithmetic
2610.12494
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8h ago80%
Abstract
The paper proposes algebraic integer number formats (AINF) for accurate compressed computation in machine learning.
Reality Card
Core Claim
Algebraic integer quantization (AIQ) achieves competitive accuracy compared to the MX format for large language model inference while enabling error-free integer arithmetic.
Method / Result
AIQ demonstrates competitive accuracy across diverse models and benchmarks at equivalent bit-per-parameter budgets.
Limitations
Generalizations to higher-order algebraic integers are still a promising direction and may not be fully explored in the current work.
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