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Thought I'd post a small recipe because a lot of threads ask similar things.
Maybe useful as a starting point: Ollama on M3 Max, keeping reranking in mind from the start.
Feel free to tear it apart if you see something dumb.
My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.
I expected the biggest difference to come from the model, but the stack around it mattered at least as much.
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I think the bottleneck is somewhere else. I get why that seems right, but on 4090 the bottleneck felt elsewhere. Could be a workload difference, but I wouldn't generalize too fast from one setup.
team red, team patient
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Can you fill in a bit more context? Is this local-only or are you routing anything externally?
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Can you fill in a bit more context? Do you see the same thing with a smaller batch or shorter prompt?
If you post your exact settings, people here can probably narrow it down pretty fast.
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Quote:Can you fill in a bit more context? Do you see the same thing with a smaller batch or shorter prompt?
Good point. The pattern around prefill/decode split has been pretty similar for me. The biggest change for me was simplifying the stack instead of adding one more optimization layer.
7900 XTX / ROCm / somehow still optimistic
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A couple things I'd check first. Before rebuilding anything, I'd test one clean baseline with Mistral and compare from there. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
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Need a little more detail here. Are you testing this on 5090 or something else?
team red, team patient
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Tried to reproduce it just now. I couldn't reproduce the slowdown until I pushed context much higher. The main thing that moved was latency, not quality.
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that fixed it for me too.