2024-10-07

study ways to get rid of more modules in transformers

bounded activations to remove normalization layers

get rid of softmax and sequence level compute everywhere (ex: siglip and sigmoid attention)

don’t normalize

• [2406.15786] What Matters in Transformers? Not All Attention is Needed
• [2407.15516] Attention Is All You Need But You Don’t Need All Of It For Inference of Large Language Models
• SKIP-ATTENTION: IMPROVING VISION TRANSFORMERS BY PAYING LESS ATTENTION