LoRA adapters for new tasks can be generated on a CPU by softmin-weighted mixing of a large bank of pre-trained adapters, using dataset distribution distances as weights.
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LoRA Fine-Tuning Without GPUs: A CPU-Efficient Meta-Generation Framework for LLMs
LoRA adapters for new tasks can be generated on a CPU by softmin-weighted mixing of a large bank of pre-trained adapters, using dataset distribution distances as weights.