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mradermacher/Forgotten-Abomination-36B-v4.1-ultra-uncensored-heretic-GGUF

mradermacher 36B GGUF second-order 33K ctx
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Response includes
  • classification m3
  • files 13
  • hub_downloads_all_time 1,802
  • author_summary 3324 models
  • readme_text full
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · lifetime
2K
368 last 30d - stable
Likes
0
Model age
6mo ago
created 2026-03-26
Downloads over time
Now1.9K→from845↑120%
7941.2K1.6K2K845 on Mar 251.9K on Oct 11MarAprMayJunJulAugSepOct
Mar 25 → Oct 11 · 68 snapshots · spans 200 days

Genealogy 0 direct forks

Full fork graph →

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 · 1K 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
Quantizations
IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf nsfw explicit roleplay unaligned dangerous ERP heretic uncensored decensored abliterated

Related

Total size
235 GB
Files
13
Quantizations
8
Registered
2026-08-22 13:56
Last updated on HF
2026-03-26 16:26

Files by quantization

Q8_0 1 file 36.5 GB
Forgotten-Abomination-36B-v4.1-ultra-uncensored-heretic.Q8_0.gguf 36.5 GB 00e9f604 download
Q6_K 1 file 28.2 GB
Forgotten-Abomination-36B-v4.1-ultra-uncensored-heretic.Q6_K.gguf 28.2 GB b724c45b download
Q5_K 2 files 48.1 GB
Forgotten-Abomination-36B-v4.1-ultra-uncensored-heretic.Q5_K_M.gguf 24.4 GB fa590cd8 download
Forgotten-Abomination-36B-v4.1-ultra-uncensored-heretic.Q5_K_S.gguf 23.7 GB 2cf3a44e download
Q4_K 2 files 40.5 GB
Forgotten-Abomination-36B-v4.1-ultra-uncensored-heretic.Q4_K_M.gguf 20.8 GB de0cc5d4 download
Forgotten-Abomination-36B-v4.1-ultra-uncensored-heretic.Q4_K_S.gguf 19.7 GB 1ffe2b62 download
IQ4 1 file 18.7 GB
Forgotten-Abomination-36B-v4.1-ultra-uncensored-heretic.IQ4_XS.gguf 18.7 GB e7e306cb download
Q3_K 3 files 49.7 GB
Forgotten-Abomination-36B-v4.1-ultra-uncensored-heretic.Q3_K_L.gguf 18.0 GB a426c6de download
Forgotten-Abomination-36B-v4.1-ultra-uncensored-heretic.Q3_K_M.gguf 16.6 GB b8e551db download
Forgotten-Abomination-36B-v4.1-ultra-uncensored-heretic.Q3_K_S.gguf 15.0 GB 6138486e download
Q2_K 1 file 12.8 GB
Forgotten-Abomination-36B-v4.1-ultra-uncensored-heretic.Q2_K.gguf 12.8 GB 23488fa4 download
Auxiliary files 2 files 7.01 KB
README.md 4.42 KB 88cdcd90 download
.gitattributes 2.59 KB ab53611a download

README current version from Hugging Face


base_model: llmfan46/Forgotten-Abomination-36B-v4.1-ultra-uncensored-heretic
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • nsfw
  • explicit
  • roleplay
  • unaligned
  • dangerous
  • ERP
  • heretic
  • uncensored
  • decensored
  • abliterated
  • ara

About

static quants of https://huggingface.co/llmfan46/Forgotten-Abomination-36B-v4.1-ultra-uncensored-heretic

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Forgotten-Abomination-36B-v4.1-ultra-uncensored-heretic-i1-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs
for
more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link Type Size/GB Notes
GGUF Q2_K 13.9
GGUF Q3_K_S 16.2
GGUF Q3_K_M 18.0 lower quality
GGUF Q3_K_L 19.4
GGUF IQ4_XS 20.2
GGUF Q4_K_S 21.2 fast, recommended
GGUF Q4_K_M 22.5 fast, recommended
GGUF Q5_K_S 25.6
GGUF Q5_K_M 26.3
GGUF Q6_K 30.4 very good quality
GGUF Q8_0 39.3 fast, best quality

Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

image.png

And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.

README history 5 versions

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

  1. 2026-03-26auto-patch README.md091fd694.4 KB
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  2. 2026-03-26auto-patch README.mdde31d474.5 KB
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  3. 2026-03-26auto-patch README.md174f2713.9 KB
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  4. 2026-03-26auto-patch README.md8d5a7c02.4 KB
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  5. 2026-03-26uploaded from rich17fd4779407 B
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