Meta FAIR Studies Looping Transformer Weights for Depth Without Extra Parameters

Meta FAIR published "How to Loop Your Transformer," systematically studying scaling laws of recurrent Transformers that reuse the same weights across up to 32 loops to gain depth without adding parameters, identifying a saturation reversal point and fixing parallel inference.

2026-10-31 ~ 2026-10-31 · 2 related posts

• Meta paper: looping transformer weights adds depth without more parameters, up to 32 loops — iScienceLuvr · 2026-10-31
• Meta's looped transformer paper: 32 loops, saturation points, and a fix for parallel inference — iScienceLuvr · 2026-10-31