Methods › Natural Language Processing › Transformers › MixLoRA
MixLoRA
Introduced by Dengchun Li et al. in MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
MixLoRA is a type of PEFT method which construct a resource-efficient sparse MoE model based on LoRA.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts 22 Apr 2024 · 2 repositories · arXiv:2404.15159Syntology ran 6 of 11 samples · 5 unverified
Tasks archive 2025-07-28
8 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Common Sense Reasoning | 1 |
| GPU | 1 |
| Mixture-of-Experts | 1 |
| Multi-Task Learning | 1 |
| Quantization | 1 |
| Question Answering | 1 |
| Sentence Completion | 1 |
| Text Classification | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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