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inference_determinism
infrastructure-inference-determinis-batched-inference-with-vllm-using-float16-precisio-af831e05
IFBatched inference with vLLM using float16 precision produces inconsistent responses for the same prompt when batch size > 1, even with temperature=0 and a fixed seed.
THENSwitch to float32 precision by adding `--dtype float32` to the vLLM server launch command, or by setting `dtype='float32'` when initializing the LLM class. Alternatively, set `max_num_seqs=1` to force single-request processing, which avoids the non-deterministic floating-point accumulation across sequences in a batch.
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