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Measuring and Reducing Cross-Vendor Mismatch in Language Models

Fuadi, Erland Hilman et al.
arXiv (All) · Papers
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and-cluster-computingdistributedmachine-learningparallel
Running the same language model on different graphics processing unit (GPU) vendors can produce different logits, even when the model weights and inputs are the same. We analyze cross-vendor mismatch in two dense and two mixture-of-experts (MoE) models with five metric families, namely bitwise equal
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