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Reasoning on CMMLU

Reasoning on CMMLU

0.5695Accuracy (Reasoning)FP16

Updated 4mo ago

Evaluation results

Method	Links
FP162026.06		0.5695
LC-QAT2026.06		0.3646
PV-TUNING2026.06		0.3556

State-of-the-art paper

FP16

LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization

Dataset

CMMLU

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Related benchmarks

Zero-shot Question Answering on Reasoning Suite (ARC-C, ARC-E, BoolQ, HellaSwag, PIQA, WinoGrande)Reasoning on CEVAL

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