Model Card for AMALIA-RacioCiência-PT
Model description
This model is a European Portuguese scientific question-answering assistant fine-tuned from AMALIA, more specifically, amalia-llm/AMALIA-9B-1225-SFT . It answers questions using scientific evidence supplied in the prompt and cites the relevant evidence identifiers.
The model is primarily intended for European Portuguese (pt-PT) and its training data covered three specific scientific domains:
- Engineering and Technology (
EngTec) - Exact and Natural Sciences (
ExaNat) - Medical and Health Sciences (
MedSau)
Intended use
Use the model to explain, compare, or synthesize information from scientific
passages that you provide. Every factual answer should be grounded in those
excerpts using citations such as [E1] and [E2].
The model does not retrieve or verify documents by itself, nor was it directly fine-tuned for tool usage. A retrieval system or the user must supply the evidence.
Prompt example
System:
És um especialista em raciocínio científico em português europeu. Responde apenas com base na evidência fornecida e cita os identificadores relevantes.
User:
Pergunta:
<question>
Evidência Científica:
[E1]
Documento: <document identifier>
Secção: <section title>
Texto:
<scientific excerpt>
[E2]
Documento: <document identifier>
Secção: <section title>
Texto:
<scientific excerpt>
Expected output:
<raciocinio>
Reasoning grounded in the supplied evidence, with citations such as [E1].
</raciocinio>
<resposta>
Final evidence-grounded answer, with citations such as [E1] and [E2].
</resposta>
If the evidence is insufficient, the model should state that explicitly rather than fill the gap with external knowledge.
Training data
The model is fine-tuned on the training split of amalia-llm/EGSciQA-ptPT-V1. The training set contains 12,571 examples.
Limitations
- The model can still produce unsupported statements or incorrect citations.
- Citations identify supplied evidence blocks; they are not independently verified bibliographic references.
- Performance is strongest in the represented domains and in European Portuguese.
- The reasoning traces originate from model-generated supervision and may contain imperfections.
- The model should not be used as the sole basis for medical, safety-critical, legal, or other high-stakes decisions.
Users should inspect the cited excerpts and validate important conclusions against the original documents.