73 lines
2.8 KiB
Markdown
73 lines
2.8 KiB
Markdown
---
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license: apache-2.0
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language:
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- en
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- it
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base_model:
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- mistralai/Magistral-Small-2506
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- ita
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- italian
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- anita
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- magistral
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- 24b
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- uniba
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- bari
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- italy
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- italia
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- Conversational
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- LLaMantino
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---
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<img src="https://huggingface.co/m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA/resolve/main/Anita-Next_full.png" alt="anita_next" border="0" width="600px">
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<hr>
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<!--<img src="https://i.ibb.co/6mHSRm3/llamantino53.jpg" width="200"/>-->
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<h3><i>"Built on <b>mistral/Magistral-Small-2506</b>"</i></i></h3>
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<p style="text-align:justify;"><b>ANITA-NEXT-24B-Magistral-2506-ITA</b> is a <b>Thinking Model</b> of the <a href="https://arxiv.org/abs/2405.07101"><b>ANITA</b></a> - <i>Large Language Models family</i>.
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The model is a fine-tuned version of <a href="https://huggingface.co/mistralai/Magistral-Small-2506"><b>Magistral-Small-2506</b></a> (a fine-tuned <b>Mistral model</b>).
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This model version aims to be the a <b>Multilingual Model</b> 🏁 (EN 🇺🇸 + ITA🇮🇹) to further fine-tuning on Specific Tasks in Italian.</p>
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❗❗❗Use at your own risk. The model may generate hallucinations, incorrect, invented, offensive, unethical or dangerous responses. We are not responsible for any dangerous/offensive/criminal use. The model is release for research only purposes.❗❗❗
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The 🌟**ANITA project**🌟 *(**A**dvanced **N**atural-based interaction for the **ITA**lian language)*
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wants to provide Italian NLP researchers with an improved model for the Italian Language 🇮🇹 use cases.
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The **NEXT** family includes **four models**:
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- m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA - **General Purpose**
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- m-polignano/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA - **Uncensored**
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- m-polignano/ANITA-NEXT-24B-Magistral-2506-VISION-ITA - **Vision-Language**
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- m-polignano/ANITA-NEXT-20B-gpt-oss-ITA - **Agentic Ready**
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<hr>
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**Full Model**: [m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA](https://huggingface.co/m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA)
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<hr>
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For *OLLAMA Inference* follow the [Huggingface Documentation](https://huggingface.co/docs/hub/ollama).
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<hr>
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## Citation instructions
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```bibtex
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@misc{polignano2024advanced,
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title={Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA},
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author={Marco Polignano and Pierpaolo Basile and Giovanni Semeraro},
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year={2024},
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eprint={2405.07101},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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```bibtex
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@article{rastogi2025magistral,
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title={Magistral},
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author={Rastogi, Abhinav and Jiang, Albert Q and Lo, Andy and Berrada, Gabrielle and Lample, Guillaume and Rute, Jason and Barmentlo, Joep and Yadav, Karmesh and Khandelwal, Kartik and Chandu, Khyathi Raghavi and others},
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journal={arXiv preprint arXiv:2506.10910},
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year={2025}
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}
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``` |