Unverified50% confidenceFactExact time
The 406M model's peak inference memory is less than half that of the 1.2B system, its parameter count is approximately one-third, and the two are comparable in performance.
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50%
Confidence
Long-term
Relevance
9/23/2026
First Seen
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Related Claims
UnverifiedFor the 7B model, accuracy with the solver was 75.31% versus 72.02% for direct calculation, a paired improvement of +3.29 percentage points, with a 95% cluster interval of [-3.49, 10.38] crossing zero, making the advantage non-significant.71% similarUnverifiedThe computational load of a single inference pass for a 2B parameter model is approximately one thirty-fifth that of a 70B model.70% similarUnverifiedAt this compression ratio, the model retains 74.2% top-1% accuracy69% similarUnverifiedUnder the DeepSuite V1.1 benchmark, the same model's scores fluctuate from 69.8% to 74.2% across different harnesses.68% similarUnverified即使模型标称支持128K甚至1M token的上下文窗口，其有效利用能力往往远低于标称值，实际可靠工作范围可能只有标称值的几分之一67% similar
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