SQ-LoRA: Memory-Efficient Language Model Compression Through Stable-Rank-Guided Quantization for Edge Computing Applications

Seda Bayat Toksöz, Gültekin Işik

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DOI: 10.3390/app16042113
Published: 2026-02-21
Container: Applied Sciences
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/app16042113,
  title = {SQ-LoRA: Memory-Efficient Language Model Compression Through Stable-Rank-Guided Quantization for Edge Computing Applications},
  author = {Seda Bayat Toksöz and Gültekin Işik},
  year = {2026},
  journal = {Applied Sciences},
  doi = {10.3390/app16042113},
  url = {https://doi.org/10.3390/app16042113}
}

RIS

TY  - JOUR
TI  - SQ-LoRA: Memory-Efficient Language Model Compression Through Stable-Rank-Guided Quantization for Edge Computing Applications
AU  - Seda Bayat Toksöz
AU  - Gültekin Işik
PY  - 2026
JO  - Applied Sciences
DO  - 10.3390/app16042113
UR  - https://doi.org/10.3390/app16042113
ER  -

APA

Toksöz, S. B., & Işik, G. (2026). SQ-LoRA: Memory-Efficient Language Model Compression Through Stable-Rank-Guided Quantization for Edge Computing Applications. Applied Sciences. https://doi.org/10.3390/app16042113

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crossref · retrieved 2026-09-26T04:09:53.184Z