--- license: apache-2.0 language: - en - it base_model: - mistralai/Magistral-Small-2506 pipeline_tag: text-generation library_name: transformers tags: - ita - italian - anita - magistral - 24b - uniba - bari - italy - italia - Conversational - LLaMantino --- anita_next

"Built on mistral/Magistral-Small-2506"

ANITA-NEXT-24B-Magistral-2506-ITA is a Thinking Model of the ANITA - Large Language Models family. The model is a fine-tuned version of Magistral-Small-2506 (a fine-tuned Mistral model). This model version aims to be the a Multilingual Model 🏁 (EN 🇺🇸 + ITA🇮🇹) to further fine-tuning on Specific Tasks in Italian.

❗❗❗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.❗❗❗ The 🌟**ANITA project**🌟 *(**A**dvanced **N**atural-based interaction for the **ITA**lian language)* wants to provide Italian NLP researchers with an improved model for the Italian Language 🇮🇹 use cases. The **NEXT** family includes **four models**: - m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA - **General Purpose** - m-polignano/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA - **Uncensored** - m-polignano/ANITA-NEXT-24B-Magistral-2506-VISION-ITA - **Vision-Language** - m-polignano/ANITA-NEXT-20B-gpt-oss-ITA - **Agentic Ready**
**Full Model**: [m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA](https://huggingface.co/m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA)
For *OLLAMA Inference* follow the [Unsloth Documentation](https://docs.unsloth.ai/basics/running-and-saving-models/saving-to-ollama).
## Citation instructions ```bibtex @misc{polignano2024advanced, title={Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA}, author={Marco Polignano and Pierpaolo Basile and Giovanni Semeraro}, year={2024}, eprint={2405.07101}, archivePrefix={arXiv}, primaryClass={cs.CL} } ``` ```bibtex @article{rastogi2025magistral, title={Magistral}, 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}, journal={arXiv preprint arXiv:2506.10910}, year={2025} } ```