A whining sound in "Save Me Darling"

I've noticed a strange whining sound, fairly quiet, during "Save Me Darling" from the Cowboy album. It's at about 700 Hz and starts in the bridge at 2:40. It doesn't sound musical to me; it sounds like a mistake. It lasts a few seconds. Has anyone else noticed it? Is there any information about how it got there?

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u/MackTuesday — 17 hours ago

What happened to ConvertStringToComboNode?

ConvertStringToComboNode is described in the documentation. It is referred to as a "built-in node". But it isn't there. Why not? How is that a good idea?

Also, why can't I just give a file name to a LoRA loader node and have it load that LoRA? Why does the thing have to be a combo?

Also, are they trying to make this thing easy to use, or hard to use? I can't decide.

Sorry, just venting.

u/MackTuesday — 1 month ago

Could someone please help explain these results?

I'm running Qwen3.6-35B-A3B-UD-Q4_K_XL.gguf on 12 GB VRAM and 32 GB RAM via the TurboQuant variant of llama.cpp. I increased the --n-cpu-moe value from 8 to 30, and my inference rate doubled! (17 to 34 tok/s). Shouldn't it have slowed down from the CPU having to do so much more work? Here is the command I'm using:

llama-cli -m Qwen3.6-35B-A3B-UD-Q4_K_XL.gguf -ngl 999 --n-cpu-moe 30 -fa on --cache-type-k turbo4 --cache-type-v turbo3 -c 262144 -t 6 -b 2048 -ub 512 --temp 0.6 --top-k 20 --top-p 0.95 --min-p 0 --no-mmap

Increasing it further to 41 didn't touch the inference rate. What's going on?

And if you're feeling charitable, could you also tell me how I might squeeze a little more speed out of this setup, if possible?

Edit: I increased it further from 41 to 256, and if anything, inference sped up even more, and VRAM usage stayed the same. I'm flummoxed, I tell you. Flummoxed.

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u/MackTuesday — 1 month ago