Fully Nested Transformers: A New Architecture
adityakusupati · x · 2026-07-10
A post highlights a new architecture called Fully Nested Transformers. By utilizing block triangular weights, it nests an entire family of sub-models within a single model, supporting capabilities like token-adaptive routing and self-distillation inference. The original post emphasizes that this makes it possible to "train a family of sub-models" and "use them simultaneously."
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