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mradermacher/gemma-3-27b-it-ultra-uncensored-heretic-i1-GGUF

mradermacher Gemma 27B GGUF second-order 131K ctx
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Response includes
  • classification m3
  • files 26
  • benchmarks 11 entries
  • hub_downloads_all_time 7,823
  • 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
8K
2K last 30d - stable
Likes
6
Model age
6mo ago
created 2026-03-17
Downloads over time
Now8.5K→from799↑968%
4123.4K6.3K9.3K799 on Mar 188.5K on Oct 11MarAprMayJunJulAugSepOct
Mar 18 → Oct 11 · 71 snapshots · spans 207 days

Benchmarks

Benchmark Score Source
Entertainment 1.4 UGI
Hazardous 1.8 UGI
Natural Intelligence 30.96 UGI
Political lean -14.7% UGI
Sensitive-Info 17.41 UGI
SocPol 2.2 UGI
UGI 44.94 UGI
Willingness (10) 10 UGI
W10-Adherence 10 UGI
W10-Direct 10 UGI
Writing 40.09 UGI

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 · 3K downloads combined

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

Metadata

License
gemma
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf heretic uncensored decensored abliterated ara en base_model:llmfan46/gemma-3-27b-it-ultra-uncensored-heretic base_model:quantized:llmfan46/gemma-3-27b-it-ultra-uncensored-heretic license:gemma endpoints_compatible

Related

Total size
275 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-03-17 13:58

Files by quantization

Q6_K 1 file 20.6 GB
gemma-3-27b-it-ultra-uncensored-heretic.i1-Q6_K.gguf 20.6 GB 7635258b download
Q5_K 2 files 35.4 GB
gemma-3-27b-it-ultra-uncensored-heretic.i1-Q5_K_M.gguf 17.9 GB e4d42654 download
gemma-3-27b-it-ultra-uncensored-heretic.i1-Q5_K_S.gguf 17.5 GB c116d791 download
Q4 2 files 30.5 GB
gemma-3-27b-it-ultra-uncensored-heretic.i1-Q4_1.gguf 16.0 GB 41bd916c download
gemma-3-27b-it-ultra-uncensored-heretic.i1-Q4_0.gguf 14.5 GB eac8f457 download
Q4_K 2 files 30.0 GB
gemma-3-27b-it-ultra-uncensored-heretic.i1-Q4_K_M.gguf 15.4 GB ae4d30b0 download
gemma-3-27b-it-ultra-uncensored-heretic.i1-Q4_K_S.gguf 14.6 GB 408ea643 download
IQ4 1 file 13.8 GB
gemma-3-27b-it-ultra-uncensored-heretic.i1-IQ4_XS.gguf 13.8 GB e36daf9c download
Q3_K 3 files 37.4 GB
gemma-3-27b-it-ultra-uncensored-heretic.i1-Q3_K_L.gguf 13.5 GB 39bded97 download
gemma-3-27b-it-ultra-uncensored-heretic.i1-Q3_K_M.gguf 12.5 GB ac2720c3 download
gemma-3-27b-it-ultra-uncensored-heretic.i1-Q3_K_S.gguf 11.3 GB 06b64ca4 download
IQ3 4 files 43.8 GB
gemma-3-27b-it-ultra-uncensored-heretic.i1-IQ3_M.gguf 11.7 GB 8f9edaee download
gemma-3-27b-it-ultra-uncensored-heretic.i1-IQ3_S.gguf 11.3 GB f0c4b7b2 download
gemma-3-27b-it-ultra-uncensored-heretic.i1-IQ3_XS.gguf 10.8 GB ba2b8609 download
gemma-3-27b-it-ultra-uncensored-heretic.i1-IQ3_XXS.gguf 9.98 GB 3dc158c3 download
Q2_K 2 files 18.9 GB
gemma-3-27b-it-ultra-uncensored-heretic.i1-Q2_K.gguf 9.78 GB 7aaee99a download
gemma-3-27b-it-ultra-uncensored-heretic.i1-Q2_K_S.gguf 9.09 GB 17851224 download
IQ2 4 files 32.0 GB
gemma-3-27b-it-ultra-uncensored-heretic.i1-IQ2_M.gguf 8.84 GB 1522bcb2 download
gemma-3-27b-it-ultra-uncensored-heretic.i1-IQ2_S.gguf 8.18 GB 83c02c4b download
gemma-3-27b-it-ultra-uncensored-heretic.i1-IQ2_XS.gguf 7.86 GB 3994255f download
gemma-3-27b-it-ultra-uncensored-heretic.i1-IQ2_XXS.gguf 7.16 GB 6a3af7e0 download
IQ1 2 files 12.2 GB
gemma-3-27b-it-ultra-uncensored-heretic.i1-IQ1_M.gguf 6.33 GB 01935e37 download
gemma-3-27b-it-ultra-uncensored-heretic.i1-IQ1_S.gguf 5.83 GB b5e3150b download
Auxiliary files 3 files 12.5 MB
gemma-3-27b-it-ultra-uncensored-heretic.imatrix.gguf 12.5 MB 9c337f21 download
README.md 7.07 KB 565103fc download
.gitattributes 3.60 KB 3b8db511 download

README current version from Hugging Face


base_model: llmfan46/gemma-3-27b-it-ultra-uncensored-heretic
language:

  • en
    library_name: transformers
    license: gemma
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • heretic
  • uncensored
  • decensored
  • abliterated
  • ara

About

weighted/imatrix quants of https://huggingface.co/llmfan46/gemma-3-27b-it-ultra-uncensored-heretic

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

static quants are available at https://huggingface.co/mradermacher/gemma-3-27b-it-ultra-uncensored-heretic-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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 imatrix 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 6.4 for the desperate
GGUF i1-IQ1_M 6.9 mostly desperate
GGUF i1-IQ2_XXS 7.8
GGUF i1-IQ2_XS 8.5
GGUF i1-IQ2_S 8.9
GGUF i1-IQ2_M 9.6
GGUF i1-Q2_K_S 9.9 very low quality
GGUF i1-Q2_K 10.6 IQ3_XXS probably better
GGUF i1-IQ3_XXS 10.8 lower quality
GGUF i1-IQ3_XS 11.7
GGUF i1-IQ3_S 12.3 beats Q3_K*
GGUF i1-Q3_K_S 12.3 IQ3_XS probably better
GGUF i1-IQ3_M 12.6
GGUF i1-Q3_K_M 13.5 IQ3_S probably better
GGUF i1-Q3_K_L 14.6 IQ3_M probably better
GGUF i1-IQ4_XS 14.9
GGUF i1-Q4_0 15.7 fast, low quality
GGUF i1-Q4_K_S 15.8 optimal size/speed/quality
GGUF i1-Q4_K_M 16.6 fast, recommended
GGUF i1-Q4_1 17.3
GGUF i1-Q5_K_S 18.9
GGUF i1-Q5_K_M 19.4
GGUF i1-Q6_K 22.3 practically like static Q6_K

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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

README history 3 versions

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

  1. 2026-03-17auto-patch README.md5fb32b07.1 KB
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  2. 2026-03-17auto-patch README.md8f49c2b6.7 KB
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  3. 2026-03-17uploaded from nico15cd6dda494 B
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