ResearchDatasetsReasoning QAT Calibration DatasetReasoning QAT Calibration DatasetFollowBenchmarksTaskDatasetSOTA methodSortMost resultsRecently updatedMost papersApplyTaskDatasetSOTA 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