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containment for model-driven automation for Gemma
#1
Thought I'd post a small recipe because a lot of threads ask similar things.

This isn't revolutionary, but the combination of Ollama and 7900 XTX felt surprisingly usable once I tuned around tool calling.

If someone wants the exact settings I can clean them up and post them.
Mostly CUDA, sometimes wrong, usually measured
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#2
I don't think that's the whole story. I get why that seems right, but on mini PC the bottleneck felt elsewhere. Not saying you're wrong, just that I wouldn't lock that in as the lesson yet.

There are a few different conversations hiding inside this thread, so being explicit about the goal helps.
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#3
Tried to reproduce it just now. On dual 3090 with SGLang, I saw basically the same behavior.
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#4
What worked for me was pretty simple. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at consumer GPUs. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
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#5
Good point. That matches what I saw on 4090. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.
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#6
That matches what I was seeing. The pattern around tokens/sec has been pretty similar for me.
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