ResearchDatasetsReasoning QAT Calibration DatasetFollowBenchmarksTask NameDataset NameSOTA MethodSortMost resultsRecently updatedMost papersApplyTask NameDataset NameSOTA ResultTrendResultsQuantization-Aware Training Efficiency AnalysisReasoning QAT Calibration Dataset 4,096 samples, length 2,048 (train)285.2Training Tokens9
Quantization-Aware Training Efficiency AnalysisReasoning QAT Calibration Dataset 4,096 samples, length 2,048 (train)285.2Training Tokens9