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Forum structure feedback thread on 4090
#1
Thought I'd post a small recipe because a lot of threads ask similar things.

This isn't revolutionary, but the combination of LM Studio and M3 Max felt surprisingly usable once I tuned around continuous batching.

If someone wants the exact settings I can clean them up and post them.
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#2
subscribed, curious where this lands.
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#3
I tested this tonight. On A6000 with TensorRT-LLM, I saw basically the same behavior.
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#4
Tried to reproduce it just now. I couldn't reproduce the slowdown until I pushed context much higher. The surprise was that memory pressure showed up before throughput collapsed.
context windows are not a product strategy
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#5
Quote:Tried to reproduce it just now. I couldn't reproduce the slowdown until I pushed context much higher. The surprise was that memory pressure showed up

A couple questions before I guess too hard. What model, what runtime, and roughly what context size?
small models can still be good
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#6
Quote:[quote]Tried to reproduce it just now. I couldn't reproduce the slowdown until I pushed context much higher. The surprise was that memory pressure sho

What worked for me was pretty simple. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at token cost. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
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#7
that fixed it for me too.
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#8
What worked for me was pretty simple. If you're on LM Studio, I'd confirm the version first and then reduce variables until the behavior is obvious. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
curious and caffeinated
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#9
Good point. That matches what I saw on dual 3090.
trying not to rebuild again
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#10
Not sure I agree there. The reported numbers can look compelling, but in ordinary usage I didn't see the same benefit. Worth testing the simpler explanation before adopting the more interesting one.
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