library_name, tags, language, metrics, base_model, pipeline_tag

library_name	tags	language	metrics	base_model	pipeline_tag
transformers	SmolLM-3B Arabic	ar	chrf	HuggingFaceTB/SmolLM3-3B	text-generation

Model Card for unige-fti/Aladdin-3B

Multidialectal Arabic generation and translation model fine-tuned for dialect fidelity and diglossia.

Model Details

Model Description

• Base model: SmolLM3-3B
• Architecture: Decoder-only causal transformer (SmolLM architecture)
• Parameters: ~3B
• Language coverage: Arabic dialects, Modern Standard Arabic (MSA), English

Primary tasks:

• Dialectal Arabic generation
• Bidirectional translation (DA ↔ MSA ↔ English)
• Controlled generation conditioned on dialect instructions

This model was fine-tuned by the Aladdin-FTI team for the AMIYA shared task to jointly optimize:

• Machine translation (semantic adequacy & diglossia)

Instruction-formatted prompts:

Translate from English into Egyptian Arabic:
<SOURCE>

• Instruction-conditioned generation (dialect fidelity)

Complete the sentence in Moroccan Arabic:
<PREFIX>

The objective balances meaning preservation and dialect naturalness in Arabic diglossia settings.

Model Sources

• Repository: Github repository
• Paper: https://arxiv.org/abs/2602.16290

How to Get Started with the Model

TODO

Training Details

Training Data: Closed-track training data only.

Datasets span multiple dialect regions and domains

Parallel corpora:

• SauDial
• Casablanca corpus
• JODA
• UFAL Levantine
• DODA
• Atlas

Monolingual dialect corpora:

• MADAR
• Shami
• Saudi Tweets
• EDGAD / EDC
• HABIBI lyrics

Citation

If you use this model in your research, please cite the following paper:

@inproceedings{mutal2026aladdinfti,
  title     = {Aladdin-FTI @ AMIYA: Three Wishes for Arabic NLP: Fidelity, Diglossia, and Multidialectal Generation},
  author    = {Mutal, Jonathan and Al Almaoui, Perla and Hengchen, Simon and Bouillon, Pierrette},
  booktitle = {Proceedings of the AMIYA Shared Task, co-located with VarDial at EACL 2026},
  year      = {2026},
  address   = {Rabat, Morocco},
  publisher = {Association for Computational Linguistics},
}

Compute infrastructure

The computations were performed at the University of Geneva using the Baobab HPC service.