README.md

metadata

license: apache-2.0
language:
  - en
  - it
base_model:
  - dphn/Dolphin-Mistral-24B-Venice-Edition
pipeline_tag: text-generation
library_name: transformers
tags:
  - ita
  - italian
  - anita
  - magistral
  - 24b
  - uniba
  - bari
  - italy
  - italia
  - Conversational
  - LLaMantino

---

"Built on dphn/Dolphin-Mistral-24B-Venice-Edition"

ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA is a Thinking Model of the ANITA - Large Language Models family. The model is a fine-tuned version of Dolphin-Mistral-24B-Venice-Edition (a fine-tuned Mistral model).

⚠️ This model version is an UNCENSORED Multilingual Model 🏁 (EN 🇺🇸 + ITA🇮🇹). It means the model can have dangerous/unethical/offensive behaviours.

❗❗❗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🌟 *(Advanced Natural-based interaction for the ITAlian 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-Dolphin-Mistral-UNCENSORED-ITA

---

For OLLAMA Inference follow the Huggingface Documentation.

---

Citation instructions

@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}
}

@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}
}