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Thealaskasky/Ministral-3-3B-Instruct-2512-Heresy-Unfiltered

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Downloads · 30-day
13
↑ 229% in 90 days
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Model age
6mo ago
created 2026-04-07
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Metadata

License
apache-2.0
Languages
en
Tags
safetensors mistral3 unfiltered visceral storytelling en base_model:MuXodious/Ministral-3-3B-Instruct-2512-absolute-heresy base_model:finetune:MuXodious/Ministral-3-3B-Instruct-2512-absolute-heresy license:apache-2.0 region:us

Related

Total size
7.17 GB
Files
8
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-07 01:23

Files by quantization

Auxiliary files 8 files 7.19 GB
model.safetensors 7.17 GB d1636d89 download
tokenizer.json 16.3 MB 57757562 download
tokenizer_config.json 194 KB eec39ba7 download
special_tokens_map.json 20.9 KB 5ee9972d download
config.json 2.73 KB 8fd4b8af download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.50 KB f3f4e1b0 download
chat_template.jinja 940 B 6a34a273 download

README current version from Hugging Face


license: apache-2.0
base_model: MuXodious/Ministral-3-3B-Instruct-2512-absolute-heresy
tags:

  • unfiltered
  • visceral
  • storytelling
    language:
  • en

Ministral-3B-Heresy (Unfiltered Edition)

This repository contains GGUF quantizations of the Ministral-3B-Heresy model. This model is a specialized fine-tune designed to bridge the gap between small-parameter efficiency and high-intensity, unfiltered narrative roleplay.

⚠️ CONTENT WARNING: NO FILTERS

This model has been specifically conditioned on "Heresy" datasets. It is designed to ignore standard safety guardrails and "assistant-like" refusals. It will generate visceral, intense, and explicit content without hesitation.

Model Highlights

  • Zero Refusals: Optimized to bypass moralizing "As an AI..." interjections.
  • Visceral Narrative: Focused on physical sensations, sensory details, and raw emotional dialogue.
  • Efficient Size: At only 3B parameters, this model runs at high speed on consumer GPUs and mobile devices while maintaining 7B-level roleplay logic.

Technical Background

This quantization project was executed in a CUDA-accelerated environment. Special attention was paid to preserving the custom tokenization required for the Ministral architecture, ensuring that multi-turn conversations remain stable and coherent.

Disclaimer

The creators of this quantization are not responsible for the content generated by the model. By downloading this model, you acknowledge the unfiltered nature of the underlying weights.

README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-04-07Duplicate from imbleach/Ministral-3-3B-Instruct-2512-Heresy-Unfilteredf27ffc31.5 KB
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