For a 9B model like EuroLLM, fine tuning the base model is pretty viable. You don't need a lot of samples, on the order of 300 high quality examples can produce

For a 9B model like EuroLLM, fine tuning the base model is pretty viable. You don't need a lot of samples, on the order of 300 high quality examples can produce good results, and the GPU time is pretty manageable with rented GPU instances Just the base model and a template like "English: {text}\n{language}:" can also work with a bit of filter and retry logic