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    Deep learning· 2023

    QLoRA: Efficient Finetuning of Quantized LLMs

    Tim Dettmers (first author) · 2023

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    DOI 10.52202/075280-0441arXiv 2305.14314OpenAlex W7133233472

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    Why it matters

    Combined 4-bit quantization with LoRA, democratizing fine-tuning of very large models.

    Condensed from the expert lists' notes.

    The record

    First released
    2023 (from arXiv 2305.14314)
    Citations
    6,016 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Also relevant to
    Language, speech & LLMs
    Score
    0.615 · computed rank 136 · consensus 0.79, must-read 0.5, citations percentile 0.938 (2020s · deep-learning), awards 0, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.