An Efficient Sparse Fine-Tuning with Low Quantization Error via Neural Network Pruning

arXiv:2502.11439 · cs.CL, cs.AI, cs.LG · Submitted 2025-02-17 · Read on arXiv

cs.CL, cs.AI, cs.LG

Submitted: 2025-02-17

Updated: 2026-08-29

Comments: Published in Transactions on Machine Learning Research (TMLR), November 2025. Updated to the final published version

Journal ref: Transactions on Machine Learning Research, 2025

Code: https://github.com/CenjhihLi/sparsity_finetuning

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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