← back to catalog · registered 2026-10-04 13:58

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

mradermacher 27B GGUF second-order
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Response includes
  • classification m3
  • files 15
  • author_summary 3307 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 · 30-day
0
Likes
0
Model age
today
created 2026-10-04

Genealogy 0 direct forks

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Variants by this author 2 formats · 0 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 ara en base_model:llmfan46/Qwen3.5-27B-uncensored-heretic-v1 base_model:quantized:llmfan46/Qwen3.5-27B-uncensored-heretic-v1 license:apache-2.0 endpoints_compatible

Related

Total size
174 GB
Files
15
Quantizations
9
Registered
2026-10-04 13:58
Last updated on HF
2026-10-04 14:05

Files by quantization

Q8_0 2 files 27.2 GB
Qwen3.5-27B-uncensored-heretic-v1.Q8_0.gguf 26.6 GB 7978e155 download
Qwen3.5-27B-uncensored-heretic-v1.mmproj-Q8_0.gguf 600 MB 466396bd download
Q6_K 1 file 20.6 GB
Qwen3.5-27B-uncensored-heretic-v1.Q6_K.gguf 20.6 GB c460fc79 download
Q5_K 2 files 35.3 GB
Qwen3.5-27B-uncensored-heretic-v1.Q5_K_M.gguf 17.9 GB 27cbcff1 download
Qwen3.5-27B-uncensored-heretic-v1.Q5_K_S.gguf 17.4 GB 8bc27d09 download
Q4_K 2 files 29.9 GB
Qwen3.5-27B-uncensored-heretic-v1.Q4_K_M.gguf 15.4 GB 3432c343 download
Qwen3.5-27B-uncensored-heretic-v1.Q4_K_S.gguf 14.5 GB 1447270a download
IQ4 1 file 14.2 GB
Qwen3.5-27B-uncensored-heretic-v1.IQ4_XS.gguf 14.2 GB 07659fd6 download
Q3_K 3 files 37.0 GB
Qwen3.5-27B-uncensored-heretic-v1.Q3_K_L.gguf 13.4 GB 83b48e7f download
Qwen3.5-27B-uncensored-heretic-v1.Q3_K_M.gguf 12.4 GB 1134b0b3 download
Qwen3.5-27B-uncensored-heretic-v1.Q3_K_S.gguf 11.2 GB d7c81bd2 download
Q2_K 1 file 9.98 GB
Qwen3.5-27B-uncensored-heretic-v1.Q2_K.gguf 9.98 GB 556c1d5a download
F16 1 file 885 MB
Qwen3.5-27B-uncensored-heretic-v1.mmproj-f16.gguf 885 MB 3f61792f download
Auxiliary files 2 files 6.89 KB
README.md 4.36 KB 0a9d070c download
.gitattributes 2.53 KB 7d9053d7 download

README current version from Hugging Face


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


About

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

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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.

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