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tostideluxekaas/GEITje-7b-uncensored-GGUF

tostideluxekaas Mistral 7B GGUF second-order 33K ctx
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  • author_summary 4 models
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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.

What is a refusal direction? →
Downloads · lifetime
355
57 last 30d - stable
Likes
0
Model age
7mo ago
created 2026-02-26

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now392→from38↑932%
2015629242738 on Feb 25392 on Oct 11392 on Oct 9FebAprJunAugOct
Feb 25 → Oct 11 · 72 snapshots · spans 228 days

Genealogy 0 direct forks

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This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Variants by this author 2 formats · 57 downloads combined

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

Metadata

License
cc-by-4.0
Languages
nl en
Quantizations
F16 Q4_K Q8_0
Tags
gguf llama.cpp Dutch GGUF uncensored mistral 7b text-generation nl en dataset:tostideluxekaas/toxic-dpo-v0.2-dutch dataset:tostideluxekaas/toxic_sft_dutch

Related

Total size
24.7 GB
Files
5
Quantizations
4
Registered
2026-08-22 13:56
Last updated on HF
2026-02-27 05:27

Files by quantization

F16 1 file 13.5 GB
GEITje-7b-uncensored-GGUF-F16.gguf 13.5 GB 6a2c1894 download
Q8_0 1 file 7.17 GB
GEITje-7b-uncensored-GGUF-Q8_0.gguf 7.17 GB 9fdcf410 download
Q4_K 1 file 4.07 GB
GEITje-7b-uncensored-GGUF-Q4_K_M.gguf 4.07 GB b8974980 download
Auxiliary files 2 files 6.32 KB
README.md 4.62 KB e0f34b36 download
.gitattributes 1.70 KB 026df8b2 download

README current version from Hugging Face


tags:

  • gguf
  • llama.cpp
  • Dutch
  • GGUF
  • uncensored
  • mistral
  • 7b
    license: cc-by-4.0
    datasets:
  • tostideluxekaas/toxic-dpo-v0.2-dutch
  • tostideluxekaas/toxic_sft_dutch
    language:
  • nl
  • en
    base_model:
  • tostideluxekaas/GEITje-7b-uncensored-ultra
    pipeline_tag: text-generation

final

GEITje-uncensored-ultra-GGUF

GGUF builds for use with llama.cpp, ollama, LMstudio or/and compatible runtimes.

Free te use, heavily uncensored; use responsibly

This is a DUTCH uncensored LLM finetune, based off GEITje-7b-ultra by bramvanroy.It is trained on all dutch data with the use of automated
translation. It will almost never refuse any dutch prompt given.

Citation bramvanroy (geitje-7b-ultra)

@misc{vanroy2024geitje7bultraconversational,
  title        = {GEITje 7B Ultra: A Conversational Model for Dutch},
  author       = {Bram Vanroy},
  year         = {2024},
  eprint       = {2412.04092},
  archivePrefix= {arXiv},
  primaryClass = {s.CL},
  url          = {https://arxiv.org/abs/2412.04092},
}

Model

This is an dutch speaking and reading, nearly non-refusing and uncensored fine
-tune of GEITje-7b-ultra-uncensored, which is my ablitterated version of bramvanroy's
GEITje-7b-ultra. I fine-tuned the ablitteration on dutch toxic data and quantesized them to GGUF for usability. The data is available in REPO, the SFT data contains harmfull instructions and is not
intended to use unfiltered, therfore I gated it with requested ussage. The orpo set is available as it is.

GEITje-7b-ultra by bramvanroy is an conversational model based off
Mistral 7b. I experienced that multilingual/English uncensored/heretic models tend to still refuse a lot when prompting in dutch. This model
is fine-tuned only on dutch (toxic/edge-case/refusal) data. However the data is translated from chinese/Engelish
to Dutch so grammar can be off from time to time, on certain (uncensored) topics that is.

The model is also available as full transformer in this repo.
The model is ablitterated using the heretic tool. After ablitteration I translated an SFT dataset, and an DPO/ORPO dataset from English to Dutch using autom
ated translation. These datasets focus on unusual or edge case prompts. After making these I did a full epoch on the SFT set (large) , and I did 4 epochs on the DPO/ORPO
set (small) , using ORPO. After I trained the Lora I merged the lora with the ablitterated
basemodel (GEITje-7b-ultra-herretic).

Ethical

Use this model responsibly. It is highly uncensored and however tone adjusted can
still anwer questions containing different kinds of illegal or harmful content.The
system prompt ensured total freedom of use. However I made some refusal cases involving minors or instructions to fatal self-harm.

Remember that it's possible that a certain model version will not refuse these kind of prompts, so always use responsible. Make sure you filter the model pre production.

I am an fern believer that local unrestricted LLM-models outweigh possitives to neg
atives. Legal professionals, creators/artists, writers, people in oppresed regimes
or people affraid of BIASED information input all share a similar opinion.

Ussage

This GGUFF version is usable in applications like ollama or LMstudio. You can do this by downloading the model or finding it in the GUI of tool of choise. Make sure to cho
ose quant size and context settings to your hardware capabilitys!

NOTE

Can start talking giberish when chatting, to avoid this confront it in chat and ask it a basic question like 'who is elon musk'? it will act naturaly after this. This will be patched very soon!

LM Studio

You can use this model in LM Studio, an easy-to-use interface to locally run optimized models. Simply search for tostideluxekaas/GEITje-7B-ultra-GGUF, and download the available file.

Ollama

The model is available on ollama.

Files

  • Q4_K_M: good quality/speed tradeoff
  • Q8_0: higher quality, larger
  • F16: full size GGUF

Files

File Format Quant Size SHA256
GEITje-7b-uncensored-GGUF-F16.gguf GGUF F16 13.49 GB 6a2c189447f6533eb2c063794ac6d68dd0f8523c600a813fa7d3f6452b863863
GEITje-7b-uncensored-GGUF-Q4_K_M.gguf GGUF Q4_K_M 4.07 GB b89749801a23566c79b7a15f5f021dfee36d9a03b5fcd2b69017b0837cbe9007
GEITje-7b-uncensored-GGUF-Q8_0.gguf GGUF Q8_0 7.17 GB 9fdcf4104cd810a4792dbdf98b283192b110363610b152dad9837f7d7d94c8d8

Example (llama.cpp)

./llama-cli -m <MODEL>.gguf --chat-template chatml -p "Hoi!" -n 128

README history 10 versions

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

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  9. 2026-02-26Update README.md636ed493.4 KB
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  10. 2026-02-26Upload README.md with huggingface_hub42a1d2e2.7 KB
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