Ask HN: Good small LLM for text correction?

I’ve been playing with local models for handling text correction, aka grammar and spelling in multilingual text.

Most models with less than 20b parameters struggle to do that, even instruct models. For example, they tend to answer questions from the text instead of correcting the mistakes. Strict prompting not to do so only partially helps. They always tend to add or remove sentences of there own.

Are there any good small models for text correction or is that just not a task LLM are good at?