Motif 3 Tech Report: GDLA Attention and Router Noise Insights
eliebakouch · x · 2026-08-10
The author shared key plots from the open-source Motif 3 model's tech report, highlighting architectural and training details:
- Attention Mechanism: Ablations show performance ranking as MLA < GDA (Grouped Differential Attention) < GDLA.
- Training Stability: Introducing router noise helps stabilize early training phases, while Polynorm achieves better specialization than SwiGLU.
- Data & Precision: The pre-training corpus utilizes 70% Nemotron 3 mixture, employing a mixed precision scheme (MXFP8/BF16/BF32).
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