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LayerNorm Tuning for Multi-Modal LLMs by d-fbuser-482384650 is a document available to read on EtoBox.

This paper presents an efficient method for fine-tuning Large Language Models (LLMs) into Multi-Modal Large Language Models (MLLMs) by tuning only the LayerNorm within attention blocks, resulting in significant performance improvements and reduced computational costs. Compared to traditional tuning methods, this approach enhances performance by over 20% while decreasing trainable parameters and GPU memory usage. The findings suggest that LayerNorm tuning not only improves efficiency but also increases the m

Author

d-fbuser-482384650

Language

EN