Infrastructure & deployment
What We Observe as LLM Behavior Can Be a Side-effect of Inference Backend
Benchmark scores can change with the inference backend—even when decoding is greedy and sampling-noise-free.
Why it matters: A benchmark score is not necessarily a property of the model alone. Reporting the backend and matching generation configurations makes comparisons easier to interpret and helps avoid attributing backend-related differences to the model.