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deterministic_generation
ai-agents-deterministic-genera-when-using-vllm-with-float16-fp16-precision-and-ba-d40fb2b0
IFWhen using vLLM with float16 (FP16) precision and batch size > 1, even with temperature=0 and fixed seed, responses for the same prompt are inconsistent (differ by a few words).
THENUse float32 precision instead of float16 for deterministic batching (e.g., pass `--dtype float32` when starting the vLLM server). Alternatively, set `max_num_seqs=1` to process requests sequentially, which eliminates batching non-determinism. If FP16 is required, consider sorting requests by prompt to maintain consistent ordering, though this may not fully resolve the issue due to floating-point non-associativity.
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