LLaMA-13B

'LLaMA-13B' is a large language model benchmark used to evaluate the performance and robustness of fine-tuning methods, particularly in the context of low-rank adaptation techniques.

Papers using LLaMA-13B (2)

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation2025LLM-BIP: Structured Pruning for Large Language Models with Block-Wise Forward Importance Propagation2024