From Large Language Models to Efficient System One Models via Adaptive Computation / Juicebox

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From Large Language Models to Efficient System One Models via Adaptive Computation (huggingface.co)(huggingface.co)
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tldrbot1 day ago

TL;DR of the paper, generated automatically.

One decision model that runs at several depths, skipping layers when it can.

Finding: the final six layers can be removed without loss, per the paper.
Method: NESTONE trains a full model with shorter prefix versions that share its final layers.
Results: across seven benchmarks, it matches or beats separate models at each depth.