---
library_name: transformers
tags:
- SmolLM-3B
- Arabic
language:
- ar
metrics:
- chrf
base_model:
- HuggingFaceTB/SmolLM3-3B
pipeline_tag: 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](https://github.com/drvenabili/mtfinetune_amiya/tree/main)
- **Paper:** [https://arxiv.org/abs/2602.16290](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.