EuroLLM-9B showcases exceptional performance tailored for European languages, demonstrating superior translation capabilities and efficiency compared to both European and non-European models.
The EuroLLM-9B model's tokenizer, built with a vocabulary of 128,000 word pieces, contributes significantly to its robustness in processing the myriad of European languages.
Post-training fine-tuning utilized publicly available datasets to enhance EuroLLM-9B's capability for multi-turn conversations, positioning it as an adaptive instruction-following model.
Benchmark assessments highlighted EuroLLM-9B's strong performance in both European and English languages, often outperforming other linguistic models, establishing its prominence in the LLM landscape.
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