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m-polignano/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-GGUF

m-polignano Mistral 24B GGUF 41K ctx
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Response includes
  • classification m-uncensored
  • files 11
  • benchmarks 11 entries
  • hub_downloads_all_time 1,862
  • author_summary 2 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · lifetime
2K
5 last 30d - cooling
Likes
9
Model age
11mo ago
created 2025-10-21
Downloads over time
Now1.9K→from68↑2,638%
06801.4K2K68 on Oct 22, 20251.9K on Oct 121.9K on Sep 26Oct '25Dec '25FebAprJunAugOct
Oct 22, 2025 → Oct 12 · 91 snapshots · spans 355 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Entertainment 1.6 UGI
Hazardous 3.5 UGI
Natural Intelligence 24.41 UGI
Political lean -15.4% UGI
Sensitive-Info 22.44 UGI
SocPol 2 UGI
UGI 40.79 UGI
Willingness (10) 7.8 UGI
W10-Adherence 8.5 UGI
W10-Direct 7 UGI
Writing 32.21 UGI

Genealogy 0 direct forks

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Variants by this author 2 formats · 60 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
apache-2.0
Languages
en it
Tags
transformers gguf mistral text-generation ita italian anita magistral 24b uniba bari italy

Related

Total size
80.6 GB
Files
11
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-10-21 12:44

Files by quantization

Auxiliary files 11 files 80.6 GB
F16.gguf 43.9 GB ******** download
Q8_0.gguf 23.3 GB ******** download
Q4_K_M.gguf 13.3 GB ******** download
tekken.json 18.5 MB ******** download
tokenizer.json 16.3 MB ******** download
tokenizer_config.json 193 KB 2be7e051 download
special_tokens_map.json 20.9 KB 3c99d883 download
README.md 2.90 KB 1a26477e download
SYSTEM_PROMPT.txt 877 B 4ae0a92b download
config.json 624 B e1dd50e7 download
generation_config.json 223 B f79144d9 download

README current version from Hugging Face


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

anita_next

"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}
}
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