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Joined 2 years ago
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Cake day: June 8th, 2023

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  • What I’ve ultimately converged to without any rigorous testing is:

    • using Q6 if it fits in VRAM+RAM (anything higher is a waste of memory and compute for barely any gain), otherwise either some small quant (rarely) or ignoring the model altogether;
    • not really using IQ quants - afair they depend on a dataset and I don’t want the model’s behaviour to be affected by some additional dataset;
    • other than the Q6 thing, in any trade-offs between speed and quality I choose quality - my usage volumes are low and I’d better wait for a good result;
    • I load as much as I can into VRAM, leaving 1-3GB for the system and context.



  • Audalin@lemmy.worldOPtoPixel Dungeon@lemmy.worldDid 6 challenges
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    5 months ago

    Oh, forgot about healing wells, thanks for the reminder. You should probably be able to throw the ankh directly too? But I don’t encounter them every run (e.g. didn’t have any this one) so they aren’t reliable.

    I know ascending is easy (did it many times, though only with 0-1 challenges, none of them Swarm Intelligence) and adds a 1.25 multiplier and I’ll do it when I go for that badge - but I didn’t plan for it (thought 6 challenges would be 2-3x harder than it turned out) so I wasn’t prepared to ascend this run. I’d have probably died in the 21-24 zone.

    So you think it should be On Diet? Hmm, maybe. But exploration with both On Diet and Into Darkness will be challenging.











  • Because we have tons of ground-level sensors, but not a lot in the upper layers of the atmosphere, I think?

    Why is this important? Weather processes are usually modelled as a set of differential equations, and you want to know the border conditions in order to solve them and obtain the state of the entire atmosphere. The atmosphere has two boundaries: the lower, which is the planet’s surface, and the upper, which is where the atmosphere ends. And since we don’t seem to have a lot of data from the upper layers, it reduces the quality of all predictions.