Q-La-LoRA: Quantized Layer-wise Adaptive Low-Rank Adaptation for Memory-Efficient LLM Fine-Tuning
Published: 15 April 2026| Version 1 | DOI: 10.17632/mckxyfjpv8.1
Contributor:
Arun Balaji VDescription
Code and experimental results supporting the paper "Q-La-LoRA". Includes training scripts, hyperparameter configurations, and benchmark accuracy results on 8 commonsense reasoning tasks using LLaMA-2-7B.
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Institutions
- Vellore Institute of Technology UniversityTamil Nadu, Vellore
Categories
Artificial Intelligence, Natural Language Processing, Machine Learning
Funders
- Vellore Institute of Technology UniversityTamil Nadu, Vellore