Actually, yes.
It's been my experience in using models from DavidAU that the abliterated ones seem much less concerned about finding the one perfect, satisfy all requirements answer, when there's a "good enough" solution.
The reason that matters is that in the earlier qwen models, trying to find a perfect solution would often cause loops, whereas a good enough solution would be good enough.
That can come in useful in all sorts of logic puzzles, reasoning etc.
I can't say for sure that this applies to all abliterated models, but certainly his hive mind series have that distinct ability. Eg:
Unfortunately, their tool calling abilities were poor, so overall it's a bit of a wash.
I suppose it boils down to what you need the thing for.