10-11-2026, 10:54 PM
Good point. That matches what I saw on mini PC. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.
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70B still worth the pain with llama.cpp
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10-11-2026, 10:54 PM
Good point. That matches what I saw on mini PC. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.
10-12-2026, 12:54 AM
Interesting, I hadn't tried that. I don't think your conclusion is far off. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.
LoRA tinkerer • dataset janitor
10-13-2026, 05:49 PM
A couple things I'd check first. On A6000, the easiest win is often to back off the aggressive settings and see whether the problem survives. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
learning in public
10-13-2026, 06:14 PM
Quote:A couple things I'd check first. On A6000, the easiest win is often to back off the aggressive settings and see whether the problem survives. A lot of What worked for me was pretty simple. On B200, the easiest win is often to back off the aggressive settings and see whether the problem survives. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
10-16-2026, 06:43 PM
Can you fill in a bit more context? Is this local-only or are you routing anything externally?
measure twice, benchmark three times
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