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#machine learning Preprint Sep 2026

OPEN-1B: A Fully Auditable Training Run

Open-source language models have a reproducibility problem. Despite releasing weights, training data, and recipes, none of them are provably reproducible due to the non-associativity of floating-point arithmetic. Deep learning frameworks often offer a deterministic execution mode, allowing reproducible operations on th...

John Donaghy, B. Wilcox, Oğuzhan Ersoy et al. · 0 citations

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