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mradermacher/Qwen3.5-27B-ultra-uncensored-heretic-v1-GGUF

mradermacher Qwen 27B GGUF second-order 262K ctx
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Response includes
  • classification m3
  • files 15
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  • author_summary 3324 models
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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
474 last 30d - stable
Likes
0
Model age
6mo ago
created 2026-04-02
Downloads over time
Now2.5K→from1.4K↑84%
1.3K1.7K2.2K2.6K1.4K on Apr 152.5K on Oct 11AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 65 snapshots · spans 179 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 · 2K 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 heretic uncensored decensored abliterated en base_model:llmfan46/Qwen3.5-27B-ultra-uncensored-heretic-v1 base_model:quantized:llmfan46/Qwen3.5-27B-ultra-uncensored-heretic-v1 license:apache-2.0 endpoints_compatible region:us

Related

Total size
174 GB
Files
15
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2026-04-02 08:55

Files by quantization

Q8_0 2 files 27.2 GB
Qwen3.5-27B-ultra-uncensored-heretic-v1.Q8_0.gguf 26.6 GB 32b29f8d download
Qwen3.5-27B-ultra-uncensored-heretic-v1.mmproj-Q8_0.gguf 600 MB 8a874415 download
Q6_K 1 file 20.6 GB
Qwen3.5-27B-ultra-uncensored-heretic-v1.Q6_K.gguf 20.6 GB ef4a9248 download
Q5_K 2 files 35.3 GB
Qwen3.5-27B-ultra-uncensored-heretic-v1.Q5_K_M.gguf 17.9 GB b19ac6eb download
Qwen3.5-27B-ultra-uncensored-heretic-v1.Q5_K_S.gguf 17.4 GB 591362fc download
Q4_K 2 files 29.9 GB
Qwen3.5-27B-ultra-uncensored-heretic-v1.Q4_K_M.gguf 15.4 GB fce0510d download
Qwen3.5-27B-ultra-uncensored-heretic-v1.Q4_K_S.gguf 14.5 GB e48f62ef download
IQ4 1 file 14.2 GB
Qwen3.5-27B-ultra-uncensored-heretic-v1.IQ4_XS.gguf 14.2 GB c11af076 download
Q3_K 3 files 37.0 GB
Qwen3.5-27B-ultra-uncensored-heretic-v1.Q3_K_L.gguf 13.4 GB 55ba7cbf download
Qwen3.5-27B-ultra-uncensored-heretic-v1.Q3_K_M.gguf 12.4 GB be1b4319 download
Qwen3.5-27B-ultra-uncensored-heretic-v1.Q3_K_S.gguf 11.2 GB aab2e7fc download
Q2_K 1 file 9.98 GB
Qwen3.5-27B-ultra-uncensored-heretic-v1.Q2_K.gguf 9.98 GB a4434aa0 download
F16 1 file 885 MB
Qwen3.5-27B-ultra-uncensored-heretic-v1.mmproj-f16.gguf 885 MB fcf8b6ea download
Auxiliary files 2 files 7.03 KB
README.md 4.42 KB 44dfc5a8 download
.gitattributes 2.60 KB bd121bd3 download

README current version from Hugging Face


base_model: llmfan46/Qwen3.5-27B-ultra-uncensored-heretic-v1
language:


About

static quants of https://huggingface.co/llmfan46/Qwen3.5-27B-ultra-uncensored-heretic-v1

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3.5-27B-ultra-uncensored-heretic-v1-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 mmproj-Q8_0 0.7 multi-modal supplement
GGUF mmproj-f16 1.0 multi-modal supplement
GGUF Q2_K 10.8
GGUF Q3_K_S 12.2
GGUF Q3_K_M 13.4 lower quality
GGUF Q3_K_L 14.4
GGUF IQ4_XS 15.3
GGUF Q4_K_S 15.7 fast, recommended
GGUF Q4_K_M 16.6 fast, recommended
GGUF Q5_K_S 18.8
GGUF Q5_K_M 19.3
GGUF Q6_K 22.2 very good quality
GGUF Q8_0 28.7 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 4 versions

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

  1. 2026-04-02auto-patch README.mdcd44f954.4 KB
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  2. 2026-04-02auto-patch README.md4a63eb64.5 KB
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  3. 2026-04-02auto-patch README.mdd19d1734.4 KB
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  4. 2026-04-02uploaded from nico1e1135a2391 B
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