distillation-validated-across-full-scale-spectrum-v2

IN premise

Created 2026-08-24T19:08:10+00:00

Knowledge distillation has been demonstrated at widely separated model scales: from BERT-scale (DistilBERT retaining 95% of benchmark performance at 60% of parameters) to frontier-scale (Llama 4 Maverick codistilled from the unreleased ~2T-parameter Behemoth), suggesting the technique is not confined to a narrow range of model sizes, though these two data points do not establish it as universally scale-invariant.

Summary

Distillation is a working technique at both the small end of the model-size spectrum and the very large frontier end, which means the system can rely on it as a general-purpose tool rather than a trick that only fits one particular size range. However, only two concrete examples have been shown, so the system should treat it as strongly supported but not as a proven, scale-independent law.