10-18-2026, 11:20 AM
A couple questions before I guess too hard. What model, what runtime, and roughly what context size?
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dedicated AI gadgets you actually use
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10-18-2026, 11:20 AM
A couple questions before I guess too hard. What model, what runtime, and roughly what context size?
10-18-2026, 08:26 PM
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.
10-18-2026, 11:09 PM
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
10-19-2026, 12:25 AM
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
10-19-2026, 03:03 AM
What exact setup are you running? Are you testing this on mini PC or something else?
10-19-2026, 05:46 AM
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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