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X-MoD: Practical Scaling Laws for Sparse-Depth Routing Beyond Mixture-of-Depths
Mixture-of-Depths (MoD) enables conditional computation across Transformer depth by routing only a subset of tokens through selected layers, but its original one-sparse--one-dense alternation tightly couples total capacity to active capacity and limits sparse-depth scaling. We introduce X-MoD, a sca
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