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Model: unige-fti/Aladdin-3B
Source: Original Platform

README.md

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+---
+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.