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dedicated AI gadgets you actually use
#11
A couple questions before I guess too hard. What model, what runtime, and roughly what context size?
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#12
Thanks, that helps. The pattern around VRAM headroom has been pretty similar for me. The biggest change for me was simplifying the stack instead of adding one more optimization layer.
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#13
I'd approach it in a boring order. If you're on Ollama, I'd confirm the version first and then reduce variables until the behavior is obvious.
learning in public
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#14
Ran a quick check on my box. My result was mixed: first run looked bad, second run looked normal. I expected the model choice to matter more than it did.
team red, team patient
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#15
What exact setup are you running? Are you testing this on mini PC or something else?
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#16
Quote:A couple questions before I guess too hard. What model, what runtime, and roughly what context size?

A couple things I'd check first. Before rebuilding anything, I'd test one clean baseline with Gemma and compare from there.
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