Papers with Romanian dataset
RoQLlama: A Lightweight Romanian Adapted Language Model (2024.findings-emnlp)
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| Challenge: | Currently, open-source large language models are limited to tasks involving the English language. |
| Approach: | They propose to use QLoRA to train a Romanian-adapted LLM with 7 billion parameters and quantized to 4 bits to improve model's performance. |
| Outcome: | The proposed model outperforms the other LLMs on four out of the seven tasks investigated using zero-shot prompting. |