Models
Qwen3-1.7B
A 1.7‑billion‑parameter reasoning language model used to test ThinkBit.
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- ThinkBit Two-bit compression keeps AI reasoning sharp while cutting inference costs 8דWhen tested on the 1.7-billion-parameter Qwen3-1.7B model, the recalibrated checkpoint scored 46.7 on the MATH-500 benchmark (a set of 500 math problems), compared with 30.0 for another method called EfficientQAT trained”