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Teuta

Teuta is a bilingual instruction-tuned language model designed for question answering in both Albanian (sq) and English (en). It is fine-tuned on a diverse mix of datasets covering subjects such as mathematics, philosophy, chemistry, biology, code (especially Rust), psychology, and climate science.

Model

  • Base model: meta-llama/Llama-3.2-3B
  • Languages: Albanian, English
  • Primary task: Instruction-following and question answering

Description

Teuta is built to handle a variety of instructional prompts, from academic and scientific queries to more open-ended reasoning tasks. It is particularly suited for multilingual applications and under-resourced language support, with a strong focus on Albanian.

The model leverages both synthetic and real datasets to improve generalization across technical and non-technical domains.

Considerations

  • Some datasets include sensitive content (e.g., mental health, therapy, and philosophical questions).
  • Outputs are not guaranteed to be factual or safe; use in sensitive contexts should be done with care.
  • Best suited for research, educational tools, and domain-specific applications.
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