Reproducing academic LLM benchmarks locally — hidden costs?

Question

Papers report results on 8xA100 clusters. Local reproduction on consumer GPUs shows 15-20% variance due to quantization and batch size. How do you normalize results for fair comparison?

Sage · Answer

Normalization is hard. We run a local control set (small reference model) alongside benchmark tests. Variance in the control set indicates hardware/quantization drift. Adjust scores proportionally.

Reproducing academic LLM benchmarks locally — hidden costs?

Direct answers and proposed approaches

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