From 167cd2b53d82a39cd037f7eebaabdb7a02f6ad5a Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Tue, 14 Jul 2026 01:45:09 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: gplsi/Aitana-2B-SI-Instruct Source: Original Platform --- .gitattributes | 36 ++ README.md | 295 +++++++++++ chat_template.jinja | 9 + config.json | 29 + model.safetensors | 3 + special_tokens_map.json | 28 + tokenizer.json | 3 + tokenizer.model | 3 + tokenizer_config.json | 1104 +++++++++++++++++++++++++++++++++++++++ 9 files changed, 1510 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 model.safetensors create mode 100644 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer.model create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..cc1911c --- /dev/null +++ b/README.md @@ -0,0 +1,295 @@ +--- +license: apache-2.0 +language: +- ca +- es +- en +tags: +- valencian +- spanish +- english +- text-generation +- instruct +- alia +- gplsi +datasets: +- OpenAssistant/oasst2 +- OpenAssistant/oasst1 +- BSC-LT/m-personas +- projecte-aina/RAG_Multilingual +- facebook/flores +- CohereLabs/aya_dataset +- Unbabel/TowerBlocks-v0.2 +- projecte-aina/MentorES +- databricks/databricks-dolly-15k +- tatsu-lab/alpaca +- openai/gsm8k +- Open-Orca/OpenOrca +- HuggingFaceH4/no_robots +- projecte-aina/CoQCat +- gplsi/boua_parallel +- allenai/scifact +- somosnlp/LingComp_QA +- somosnlp/instruct-legal-refugiados-es +library_name: transformers +pipeline_tag: text-generation +--- +# Aitana-2B-SI-Instruct + +**Aitana-2B-SI-Instruct** is an instruction-tuned generative language model from the **Aitana family**, developed by the [GPLSI (Language and Information Systems Group)](https://gplsi.dlsi.ua.es/) at the University of Alicante. Built on [gplsi/Aitana-2B-S-base-1.0](https://huggingface.co/gplsi/Aitana-2B-S-base-1.0), this model has been fine-tuned to follow instructions effectively across Valencian, Spanish, and English, with particular emphasis on enhancing Valencian language capabilities. + +## Table of Contents + +- [Model Description](#model-description) +- [Evaluation](#evaluation) +- [Training Data](#training-data) +- [Intended Uses](#intended-uses) +- [How to Use](#how-to-use) +- [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-SI-Instruct is an instruction-tuned variant of Aitana-2B-S-base-1.0, fine-tuned on multilingual instruction data to follow user prompts and generate helpful responses across Valencian, Spanish, and English. The model was NOT instruction-tuned on Catalan data, though it retains some Catalan capabilities from its base model. + +## Training Data + +This model was instruction fine-tuned on the ALIA Instruction/v12 dataset, composed of the following sources: + +| Dataset ID | Name | Languages | Source | +|------------|------|-----------|--------| +| ins1 | OpenAssistant2 (OASST2) | CA, EN, ES, VA | [OpenAssistant/oasst2](https://huggingface.co/datasets/OpenAssistant/oasst2) | +| ins2 | OpenAssistant1 (OASST1) | CA, VA | [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) | +| ins3 | M-Personas | CA, EN, ES, VA | [BSC-LT/m-personas](https://huggingface.co/datasets/BSC-LT/m-personas) | +| ins4 | RAG Multilingual | CA, EN, ES, VA | [projecte-aina/RAG_Multilingual](https://huggingface.co/datasets/projecte-aina/RAG_Multilingual) | +| ins5 | FLORES | CA, EN, ES | [facebook/flores](https://huggingface.co/datasets/facebook/flores) | +| ins6 | Aya Dataset | EN, ES, VA | [CohereLabs/aya_dataset](https://huggingface.co/datasets/CohereLabs/aya_dataset) | +| ins7 | TowerBlocks | EN, ES | [Unbabel/TowerBlocks-v0.2](https://huggingface.co/datasets/Unbabel/TowerBlocks-v0.2) | +| ins8 | Mentor / Mentores | CA, ES, VA | [projecte-aina/MentorES](https://huggingface.co/datasets/projecte-aina/MentorES) / [projecte-aina/MentorCA](https://huggingface.co/datasets/projecte-aina/MentorCA) | +| ins9 | Dolly / Dolly 3K | CA, EN, VA | [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) | +| ins10 | Alpaca | EN, VA | [tatsu-lab/alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca) | +| ins11 | GSM8K | EN, VA | [openai/gsm8k](https://huggingface.co/datasets/openai/gsm8k) | +| ins12 | OpenOrca | EN | [Open-Orca/OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca) | +| ins13 | No Robots | EN | [HuggingFaceH4/no_robots](https://huggingface.co/datasets/HuggingFaceH4/no_robots) | +| ins14 | CoQCA / CoQCat | CA, VA | [projecte-aina/CoQCat](https://huggingface.co/datasets/projecte-aina/CoQCat) | +| ins15 | BOUA | ES | [gplsi/boua_parallel](https://huggingface.co/datasets/gplsi/boua_parallel) | +| ins16 | SciFact | VA | [allenai/scifact](https://huggingface.co/datasets/allenai/scifact) | +| ins17 | LingComp QA | VA | [somosnlp/LingComp_QA](https://huggingface.co/datasets/somosnlp/LingComp_QA) | +| ins18 | Instruct Legal Refugiados | VA | [somosnlp/instruct-legal-refugiados-es](https://huggingface.co/datasets/somosnlp/instruct-legal-refugiados-es) | +| ins19 | Amic-Paralelo | ES | [gplsi/amic_parallel](https://huggingface.co/datasets/gplsi/amic_parallel) | + +Catalan data was removed from the instruction tuning to focus on Valencian, Spanish, and English, though some Catalan appears in multilingual datasets. + +## Intended Uses + +This model can be used for: + +- **Instruction following** in Valencian, Spanish, and English +- **Chat and conversational applications** requiring multilingual support +- **Text generation** with task-specific prompting +- **Domain-specific applications** in administrative, legal, or tourism contexts + +> **Note**: As an instruction-tuned model, it is designed to follow user prompts and generate helpful responses. It is not intended for use as a factual knowledge base. + +## How to Use + +### Transformers + +```python +import torch +from transformers import pipeline, AutoTokenizer + +model_id = "gplsi/Aitana-2B-SI-Instruct" +tokenizer = AutoTokenizer.from_pretrained(model_id) +generator = pipeline( + "text-generation", + model=model_id, + tokenizer=tokenizer, + torch_dtype=torch.bfloat16, + device_map="auto", +) +# Valencian example +text = "Explica què són les Corts Valencianes i quina funció tenen." +result = generator(text, do_sample=True, top_k=10, max_new_tokens=100) +print(result[0]['generated_text']) +# Spanish example +text = "Describe las principales funciones del gobierno autonómico valenciano." +result = generator(text, do_sample=True, top_k=10, max_new_tokens=100) +print(result[0]['generated_text']) +# English example +text = "Explain the role of tourism in the Valencian Community economy." +result = generator(text, do_sample=True, top_k=10, max_new_tokens=100) +print(result[0]['generated_text']) +``` + +## Evaluation + +In the following tables, we present the results obtained with different benchmarks from [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) in comparison with [Salamandra-2B-Instruct](https://huggingface.co/BSC-LT/Salamandra-2B-Instruct). The results reflect the instruction-tuned performance of both models. + +### Valencian + +#### Classification Benchmarks + +| Dataset | Lang. | Task | Metric | Salamandra-2B-Instruct | Aitana-2B-S-Instruct | +|------------------------------|--------|----------------------------|-------------|---------------|-----------------------| +| XNLI | va |Natural Language Inference | acc | **0.520** | 0.508 | + +#### Generation Benchmarks + +| Dataset | Lang. | Task | Metric | Salamandra-2B-Instruct | Aitana-2B-S-Instruct | +|------------------------------|--------|----------------------------|-------------|---------------|-----------------------| +| Cocoteros | va |Reading Comprehension | bleu | 2.796 | **3.121** | +| Phrases ca-va | va-ca |Translation - Adaptation | bleu | 58.425 | **76.427** | +| Phrases va-ca | va-ca |Translation - Adaptation | bleu | **70.660** | 68.902 | +| Phrases va-es | va-es |Translation | bleu | 65.427 | **69.694** | +| Phrases es-va | es-va |Translation | bleu | 45.688 | **55.725** | +| Truthfulqa_va | va | Truthfulness | bleu_acc | 0.409 | **0.415** | + +### Catalan + +#### Classification Benchmarks + +| Dataset | Lang. | Task | Metric | Salamandra-2B-Instruct | Aitana-2B-S-Instruct | +|------------------------------|--------|---------------------------|-------------|---------------|-----------------------| +| Belebele Cat_latn | ca | Reading Comprehension | acc | **0.287** | 0.274 | +| COPA | ca | Commonsense Reasoning | acc | **0.708** | 0.704 | +| XStoryCloze | ca | Commonsense Reasoning | acc | **0.616** | 0.615 | +| OpenBookQA | ca | Question Answering | acc | 0.296 | **0.300** | +| PAWS | ca | Paraphrasing | acc | 0.602 | **0.608** | +| PiQA | ca | Question Answering | acc | 0.638 | **0.655** | +| SiQA | ca | Question Answering | acc | **0.422** | 0.419 | +| ARC Easy | ca | Question Answering | acc | 0.516 | **0.527** | +| ARC Challenge | ca | Question Answering | acc | 0.298 | **0.305** | +| XNLI | ca | Natural Language Inference| acc | 0.513 | **0.516** | +| Teca | ca | Natural Language Inference| acc | 0.486 | **0.499** | +| WNLI | ca | Natural Language Inference| acc | **0.563** | 0.451 | +| Catcola | ca | Linguistic Acceptability | acc | 0.492 | **0.585** | +| Catcola | ca | Linguistic Acceptability | mcc | **0.097** | -0.042 | +| Catalanqa | ca | Question Answering | F1 | **0.516** | 0.397 | +| Mgsm direct | ca | Math | exact match | 0.000 | **0.004** | +| Catalanqa | ca | Question Answering | exact match | **0.182** | 0.029 | +| Xquad | ca | Question Answering | exact match | **0.103** | 0.030 | +| Xquad | ca | Question Answering | F1 | **0.394** | 0.303 | + +#### Generation Benchmarks + +| Dataset | Lang. | Task | Metric | Salamandra-2B-Instruct | Aitana-2B-S-Instruct | +|------------------------------|--------|--------------------------|--------|----------------|-----------------------| +| Cabreu abstractive | ca | Summarization | bleu | 7.610 | **9.199** | +| Cabreu extractive | ca | Summarization | bleu | **38.002** | 14.869 | +| Cabreu extreme | ca | Summarization | bleu | 2.733 | **4.209** | + +### Spanish + +#### Classification Benchmarks + +| Dataset | Lang. | Task | Metric | Salamandra-2B-Instruct | Aitana-2B-S-Instruct | +|------------------------------|--------|---------------------------|-------------|---------------|-----------------------| +| Belebele | es | Reading Comprehension | acc | **0.268** | 0.260 | +| PAWS | es | Paraphrasing | acc | 0.566 | **0.622** | +| XNLI | es | Natural Language Inference| acc | **0.463** | 0.419 | +| WNLI | es | Natural Language Inference| acc | 0.479 | **0.549** | +| XStoryCloze | es | Commonsense Reasoning | acc | 0.617 | **0.619** | +| Escola | es | Linguistic Acceptability | acc | 0.293 | **0.655** | +| Escola | es | Linguistic Acceptability | mcc | 0.020 | **0.087** | +| OpenbookQA | es | Question Answering | acc | 0.286 | **0.320** | +| MGSM Direct | es | Math | exact match | 0.020 | **0.032** | +| XQUAD | es | Question Answering | exact match | **0.066** | 0.039 | +| XQUAD | es | Question Answering | F1 | **0.355** | 0.305 | + +#### Generation Benchmarks + +| Dataset | Lang. | Task | Metric | Salamandra-2B-Instruct | Aitana-2B-S-Instruct | +|------------------------------|--------|---------------------|---------|----------------|-----------------------| +| Cocoteros | es |Reading Comprehension| bleu | **3.308** | 2.508 | +| XLSum | es | Summarization | bleu | 1.695 | **1.694** | + +### English + +#### Classification Benchmarks + +| Dataset | Lang. | Task | Metric | Salamandra-2B-Instruct | Aitana-2B-S-Instruct | +|------------------------------|--------|----------------------------|-------------|---------------|-----------------------| +| Arc Challenge | en | Question Answering | acc | 0.354 | **0.362** | +| Arc Easy | en | Question Answering | acc | 0.681 | **0.704** | +| Belebele | en | Reading Comprehension | acc | 0.260 | **0.273** | +| PAWS | en | Paraphrasing | acc | 0.597 | **0.610** | +| XNLI | en | Natural Language Inference | acc | 0.512 | **0.553** | +| XStoryCloze | en | Commonsense Reasoning | acc | **0.662** | 0.661 | +| OpenBookQA | en | Question Answering | acc | 0.298 | **0.314** | +| PiQA | en | Question Answering | acc | 0.715 | **0.720** | +| Social iqa | en | Question Answering | acc | **0.453** | 0.431 | +| WNLI | en | Natural Language Inference | acc | **0.535** | 0.451 | +| MGSM Direct | en | Math | exact match | 0.008 | **0.088** | +| TriviaQA | en | Question Answering | exact match | 0.076 | **0.170** | + +### Judge Evaluation + +The model was also evaluated using an LLM-as-judge approach across different task categories. The scores below represent the average rating (1-5 scale, 5 being best) and standard deviation for each task category, comparing Aitana-2B-S-Instruct against Salamandra-2B-Instruct. + +| Task Category | Salamandra-2B-Instruct | Aitana-2B-S-Instruct | +|---------------|------------------------|---------------------------| +| CommonSense reasoning | **2.277 / 1.151** | 2.237 / 1.054 | +| Maths | 1.060 / 0.124 | **1.105 / 0.209** | +| Paraphrasing | **3.518 / 1.308** | 3.517 / 1.151 | +| Reading comprehension | **2.966 / 1.111** | 2.740 / 1.348 | +| Summarization | 2.217 / 1.068 | **2.267 / 0.967** | +| Translation | **3.557 / 0.760** | 3.497 / 0.988 | +| **Overall Avg** | **2.599 / 0.920** | 2.560 / 0.953 | + +## 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*. This work has also been partially supported by Project HEART-NLP (PID2024-156263OB-C22). + +### 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, Version 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-SI-Instruct, + author = {Martínez-Murillo, Iván and Sepúlveda-Torres, Robiert and Grande, Eduardo and Galiano, Santiago and Estevanell-Valladares, Ernesto L. and Consuegra-Ayala, Juan Pablo and Miró Maestre, María and Canal-Esteve, Miquel and Bonora, Mar and Gutierrez, Yoan and Abreu Salas, José Ignacio and Lloret, Elena and Montoyo, Andrés and Muñoz-Guillena, Rafael and Palomar, Manuel}, + title = {Aitana-2B-SI-Instruct: Instruction-tuned model for Valencian, Spanish and English}, + year = {2026}, + institution = {Language and Information Systems Group (GPLSI) and Centro de Inteligencia Digital (CENID), University of Alicante (UA)}, + howpublished = {\url{https://huggingface.co/gplsi/Aitana-2B-SI-Instruct}}, + note = {Accessed: 2026-05-11} +} +``` + +--- + +**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.** \ No newline at end of file diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..f69fbc7 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,9 @@ +{%- if not date_string is defined %}{%- set date_string = "2025-12-09" %}{%- endif %}{%- set base_system_message = "I am Aitana, experimental model developed at the University of Alicante by the Language and Information Systems Group (GPLSI). My knowledge base was last updated on November 2025. Always respond in a friendly manner and following the user's instructions. Today Date: "+ date_string +" +Soy Aitana, un modelo experimental desarrollado en la Universidad de Alicante por el Grupo de Procesamiento del Lenguaje y Sistemas de Información (GPLSI). Mi base de conocimiento se actualizó por última vez en noviembre de 2025. Responde siempre de manera amigable y siguiendo las indicaciones del usuario. +Soc Aitana, un model experimental desenvolupat a la Universitat d'Alacant pel Grup de Processament del Llenguatge i Sistemes d'Informació (GPLSI). La meua base de coneixement es va actualitzar per última vegada en novembre del 2025. Respon sempre de manera amigable i seguint les indicacions de l'usuari." -%}{%- if messages and messages[0].role == "system" -%}{%- set task_system = messages[0].content -%}{%- set messages = messages[1:] -%}{%- else -%}{%- set task_system = "" -%}{%- endif -%}{%- if task_system -%}{%- set system_message = base_system_message + " +" + task_system -%}{%- else -%}{%- set system_message = base_system_message -%}{%- endif -%}{{ "<|im_start|>system +" + system_message + "<|im_end|> +" }}{% for message in messages %}{{'<|im_start|>' + message['role'] + ' +' + message['content'] + '<|im_end|>' + ' +'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant +' }}{% endif %} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..1bbbbc7 --- /dev/null +++ b/config.json @@ -0,0 +1,29 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 1, + "dtype": "bfloat16", + 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