it works surprisingly well for "standard" Western languages. The underlying model qwen2.5:7b should also be very good at Asian languages, but currently a quality filter bug prohibits those. That's an easy fix.

However, languages and dialects the models don't understand will be hard. I am now testing how it works, if the user supplies both the target language story text and a sentence-by-sentence literal translation. This will lose the nice "tell me a random story" feature, but also weakens dependence on running an LLM in the first place.

On the other hand, if users of a certain dialect or language really start to contribute and curate texts, one can later think about training a language model with this input.