They finetuned QwQ to perform well on a benchmark. For the past two years there has been a constant stream of "X fine-tune beats Y closed model on Z benchmark". This isn't interesting and has never been interesting, see Goodhart's Law. If you're actually using local models day to day you will quickly find that finetunes are almost universally a waste of time. Even when it comes to something like smutty roleplay gaslighting a model can often lead to more interesting and consistent results because finetunes are basically always overfit to the training data.