---
license: apache-2.0
language:
  - ca
  - es
  - en
base_model: gplsi/Aitana-2B-S-base-1.0
tags:
  - valencian
  - catalan
  - spanish
  - english
  - text-generation
  - tourism
  - alia
  - gplsi
datasets:
  - gplsi/alia_tourism
library_name: transformers
pipeline_tag: text-generation
---

# Aitana-2B-S-tourism-base-1.0

**Aitana-2B-S-tourism-base-1.0** is a generative language model from the **Aitana family**, developed by the [GPLSI (Language and Information System Group)](https://gplsi.dlsi.ua.es/) at the University of Alicante. This model is based on [gplsi/Aitana-2B-S-base-1.0](https://huggingface.co/gplsi/Aitana-2B-S-base-1.0) and has been further trained on tourism domain data to enhance performance in tourism-related text generation.

## Table of Contents

- [Model Description](#model-description)
- [Training Data](#training-data)
- [Intended Uses](#intended-uses)
- [How to Use](#how-to-use)
- [GGUF for LM Studio](#gguf-for-lm-studio)
- [Additional Information](#additional-information)

## Model Description

| Property | Value |
|----------|-------|
| **Base Model** | [gplsi/Aitana-2B-S-base-1.0](https://huggingface.co/gplsi/Aitana-2B-S-base-1.0) |
| **Architecture** | Transformer decoder-only |
| **Parameters** | ~2.25B |
| **Languages** | Valencian, Spanish, English |
| **License** | Apache 2.0 |

Aitana-2B-S-tourism-base-1.0 extends the Aitana-2B-S-base-1.0 foundation with additional training on tourism domain data. This specialized training makes it particularly well-suited for tourism-related applications in Valencian, Spanish, and English.

## Training Data

This model was trained on the following tourism domain dataset:

| Dataset ID | Name | Language | Source |
|------------|------|----------|--------|
| dc7 | tourism_va_2025 | Valencian | [gplsi/alia_tourism](https://huggingface.co/datasets/gplsi/alia_tourism) |
| dc7 | tourism_es_2025 | Spanish | [gplsi/alia_tourism](https://huggingface.co/datasets/gplsi/alia_tourism) |
| dc7 | tourism_en_2025 | English | [gplsi/alia_tourism](https://huggingface.co/datasets/gplsi/alia_tourism) |

### Data Source

- **Tourism**: Multilingual tourism domain content covering tourist information, destinations, accommodations, cultural sites, and travel-related text in Valencian, Spanish, and English.

## Intended Uses

This model can be used for:

- **Tourism text generation** in Valencian, Spanish, and English
- **Travel content creation** and assistance
- **Fine-tuning** for specific tourism downstream tasks
- **Domain adaptation** for hospitality and travel applications

> **Note**: This model is specifically optimized for tourism domain content. For general-purpose or administrative/legal text, consider using other models in the Aitana family.

## How to Use

### Transformers

```python
import torch
from transformers import pipeline, AutoTokenizer

model_id = "gplsi/Aitana-2B-S-tourism-base-1.0"
tokenizer = AutoTokenizer.from_pretrained(model_id)

generator = pipeline(
    "text-generation",
    model=model_id,
    tokenizer=tokenizer,
    torch_dtype=torch.bfloat16,
    device_map="auto",
)

# Tourism example in Spanish
text = "El turismo en la Comunidad Valenciana ofrece"
result = generator(text, do_sample=True, top_k=10, max_new_tokens=100)
print(result[0]['generated_text'])

# Tourism example in Valencian
text = "Les platges de la Costa Blanca són"
result = generator(text, do_sample=True, top_k=10, max_new_tokens=100)
print(result[0]['generated_text'])

# Tourism example in English
text = "The best beaches in Valencia include"
result = generator(text, do_sample=True, top_k=10, max_new_tokens=100)
print(result[0]['generated_text'])
```

## GGUF for LM Studio

This repository includes a GGUF version for use with [LM Studio](https://lmstudio.ai/), [Ollama](https://ollama.ai/), and other llama.cpp-based tools.

| File | Precision | Size |
|------|-----------|------|
| `Aitana-s2b-c0dc7-f16.gguf` | F16 | ~4.5 GB |

### Using with llama-cpp-python

```python
from llama_cpp import Llama

llm = Llama.from_pretrained(
    repo_id="gplsi/Aitana-2B-S-tourism-base-1.0",
    filename="Aitana-s2b-c0dc7-f16.gguf",
)

output = llm("El turismo en Valencia ofrece", max_tokens=100)
print(output["choices"][0]["text"])
```


## Additional Information

### Author

The model has been developed by the **Language and [Information Systems Group (GPLSI)](https://gplsi.dlsi.ua.es/)** and the **[Centro de Inteligencia Digital (CENID)](https://cenid.es)**, both part of the **[University of Alicante (UA)](https://www.ua.es/es/)**, as part of their ongoing research in **Natural Language Processing (NLP)**.


### Funding

This work is funded by the **Ministerio para la Transformación Digital y de la Función Pública**, co-financed by the **EU – NextGenerationEU**, within the framework of the project *Desarrollo de Modelos ALIA*.

### Acknowledgments

We would like to express our gratitude to all individuals and institutions that have contributed to the development of this work.

Special thanks to:
- [Language Technologies Laboratory at Barcelona Supercomputing Center](https://www.bsc.es/es/discover-bsc/organisation/research-structure/language-technologies-laboratory) 
- [Centro Vasco de Tecnología de la Lengua (HiTZ)](https://www.hitz.eus/es)
- [Centro Singular de Investigación en Tecnologías Inteligentes (CiTIUS)](https://citius.gal/)
- [Sistemas Inteligentes de Acceso a la Información (SINAI)](https://www.ujaen.es/investigacion-y-transferencia/grupos-de-investigacion/sistemas-inteligentes-de-acceso-la-informacion-sinai)
- [Instituto Universitario de Investigación Informática (IUII)](https://web.ua.es/es/iuii/)
- [Leonardo HPC System](https://leonardo-supercomputer.cineca.eu/)
- [European supercomputing ecosystem (EUROHPC)](https://www.eurohpc-ju.europa.eu/)

We also acknowledge the financial, technical, and scientific support of the **Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project Desarrollo de Modelos ALIA**, whose contribution has been essential to the completion of this research.


### License

[Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0)

### Disclaimer

This model is intended for general purposes and is available under a permissive Apache License 2.0. Be aware that the model may have biases and/or undesirable outputs. Users deploying systems based on this model are responsible for mitigating risks and complying with applicable AI regulations.


### Reference
```bibtex
@misc{gplsi-aitana-2B-S-base-1.0,
  author       = {Estevanell-Valladares, Ernesto L. and Yáñez-Romero, Fabio and Sepúlveda-Torres, Robiert and Galeano, Santiago and Consuegra-Ayala, Juan Pablo and Miró Maestre, María and Martínez-Murillo, Iván and Grande, Eduardo and Canal-Esteve, Miquel and Bonora, Mar and Gutierrez, Yoan and Abreu Salas, José Ignacio and Lloret, Elena and Montoyo, Andrés and Muñoz-Guillena and Palomar, Manuel},
  title        = {Aitana 2B base: Continually pre-trained on Valencian},
  year         = {2025},
  institution  = {Language and Information Systems Group (GPLSI) and Centro de Inteligencia Digital (CENID), University of Alicante (UA)},
  howpublished = {\url{https://huggingface.co/gplsi/gplsi/Aitana-2B-S-base-1.0}},
  note         = {Accessed: 2025-12-12}
}
```

---

**Copyright © 2026 Language and Information Systems Group (GPLSI) and Centro de Inteligencia Digital (CENID), University of Alicante (UA). Distributed under the Apache License 2.0.**