LLM providers are in the stone age with sampling today and it's on purpose because better sampling algorithms make the diversity of synthetic generated data too high, thus meaning your model is especially vulnerable to distillation attacks.

This is why we use top_p/top_k on the big 3 closed source models despite min_p and far better LLM sampling algorithms existing since 2023 (or in TFS case, since 2019)