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metadata
license: apache-2.0
language:
  - en
  - it
base_model:
  - openai/gpt-oss-20b
pipeline_tag: text-generation
library_name: transformers
tags:
  - ita
  - italian
  - anita
  - magistral
  - 24b
  - uniba
  - bari
  - italy
  - italia
  - Conversational
  - LLaMantino
  - Agentic
  - Agents
anita_next

"Built on openai/gpt-oss-20b"

ANITA-NEXT-20B-gpt-oss-ITA is a Thinking Model of the ANITA - Large Language Models family. The model is a fine-tuned version of openai/gpt-oss-20b (a fine-tuned OpenAI OSS model). This model version aims to be the an Agentic-Ready 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🌟 *(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-20B-openai-gpt-oss-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}
}
@misc{openai2025gptoss,
  author       = {{OpenAI}},
  title        = {Introducing gpt‑oss},
  howpublished = {\url{https://openai.com/en-EN/index/introducing-gpt-oss/}},
  year         = {2025},
  month        = aug,
  day          = {5},
  note         = {Accessed: 16 August 2025},
}