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SYS · ONLINEUPTIME · 100%2026 · operator-owned
RUNLOCALAI · v38
Glossary / Transformer & LLM components / Deterministic Decoding
Transformer & LLM components

Deterministic Decoding

Deterministic decoding means same prompt → same output, every time. Achieved by setting temperature to 0 (always pick the highest-probability token) and pinning the random seed for any tiebreaks.

Sounds simple, isn't. Even at temperature 0, GPU floating-point non-associativity can produce different logits across runs (especially with batch-size variation), which can flip ties. True bit-exact reproducibility requires single-batch, deterministic kernels (CUBLAS_DETERMINISTIC, cuDNN deterministic mode), and pinned seed everywhere.

For local AI evaluation, "deterministic enough" usually means temperature 0 + single batch + same hardware/runtime version. Cross-runtime reproducibility (llama.cpp ↔ vLLM) is essentially never bit-exact even with identical sampling settings.

Related terms

Random SeedTemperature 0 (Greedy Sampling)Sampling (Decoding)

Reviewed by Fredoline Eruo. See our editorial policy.

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