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Search / Retrieval / Reranking discussion with vLLM
#1
Thought I'd post a small recipe because a lot of threads ask similar things.

Just sharing a setup that ended up working reasonably well: Phi, SGLang, A6000, with a lot of attention on token cost.

If someone wants the exact settings I can clean them up and post them.

This is mostly for local work rather than public serving.
image models by night, local pipelines by day
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#2
That matches what I was seeing. The pattern around continuous batching has been pretty similar for me. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.
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#3
What worked for me was pretty simple. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at reranking. The logs were somehow calmer than I was.
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