Loopie uses recurrent MoE layers to beat a compute-matched 30B baseline
burny_tech · x · 2026-07-21
The paper ‘Loopie’ presents a recurrent Transformer approach that is compute-efficient as well as parameter-efficient.
- The family includes a 20B-parameter MoE model with 2B active parameters and a 6B model with 0.6B active parameters.
- Instead of simply stacking more layers, each MoE layer loops twice before moving on.
- The design saves activation memory, improves throughput, and lets the model reinvest compute into capacity.
- According to the post, a compute-matched Loopie-20B-A2B beats a vanilla 30B-A3B MoE baseline and reaches gold-level IMO/IPhO performance without tools.
Related event: Loopie Looping Transformers Match Larger Models at Fraction of Cost(7 posts)→
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