Quantizing a larger pretrained model preserves trustworthiness better than pruning, and it produces small models that score higher on trustworthiness than small models trained from scratch.
Sparsegpt: Massive language models can be accurately pruned in one-shot,
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Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed
Quantizing a larger pretrained model preserves trustworthiness better than pruning, and it produces small models that score higher on trustworthiness than small models trained from scratch.