HILO assigns shallow layers fewer and lower-rank LoRA experts and deeper layers more and higher-rank experts, reporting accuracy gains with 37.5 percent fewer trainable or active parameters on Llama 2-7B.
Loramoe: Alleviating world knowledge forgetting in large language models via moe-style plugin
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Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning
HILO assigns shallow layers fewer and lower-rank LoRA experts and deeper layers more and higher-rank experts, reporting accuracy gains with 37.5 percent fewer trainable or active parameters on Llama 2-7B.