/Clinical-Language-Model-Distillation-Pruning-Quantization

OptimCLM enhances clinical decision-making and management by optimizing clinical language models for patient outcome predictions, achieving up to 22.88× compression and 28.7× speedup with minimal performance loss, using techniques like knowledge distillation, pruning, and quantization on MIMIC-III data.

Primary LanguageJupyter NotebookMIT LicenseMIT

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