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mradermacher/Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning-i1-GGUF

mradermacher Gemma 27B GGUF second-order 131K ctx
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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
2
Model age
8mo ago
created 2026-01-28

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
Now8.4K→from538↑1,455%
1473.1K6.1K9.1K538 on Jan 288.4K on Oct 11JanMarMayJulSep
Jan 28 → Oct 11 · 76 snapshots · spans 256 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
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf uncensored heretic abliterated unsloth finetune en dataset:TeichAI/gemini-3-pro-preview-high-reasoning-250x base_model:DavidAU/Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning base_model:quantized:DavidAU/Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning license:apache-2.0

Related

Total size
275 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-01-28 12:37

Files by quantization

Q6_K 1 file 20.6 GB
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-Q6_K.gguf 20.6 GB 837ecc88 download
Q5_K 2 files 35.4 GB
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-Q5_K_M.gguf 17.9 GB f320d9a8 download
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-Q5_K_S.gguf 17.5 GB bfe2aee2 download
Q4 2 files 30.5 GB
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-Q4_1.gguf 16.0 GB cf42de8e download
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-Q4_0.gguf 14.5 GB e68e2fc4 download
Q4_K 2 files 30.0 GB
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-Q4_K_M.gguf 15.4 GB 5d97cae8 download
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-Q4_K_S.gguf 14.6 GB 0603499d download
IQ4 1 file 13.8 GB
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-IQ4_XS.gguf 13.8 GB dfca3d09 download
Q3_K 3 files 37.4 GB
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-Q3_K_L.gguf 13.5 GB fadb9d30 download
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-Q3_K_M.gguf 12.5 GB c8886cb5 download
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-Q3_K_S.gguf 11.3 GB e6e9addf download
IQ3 4 files 43.8 GB
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-IQ3_M.gguf 11.7 GB c629949a download
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-IQ3_S.gguf 11.3 GB 9d97fe70 download
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-IQ3_XS.gguf 10.8 GB 36d9079a download
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-IQ3_XXS.gguf 9.98 GB 1b8e7bd9 download
Q2_K 2 files 18.9 GB
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-Q2_K.gguf 9.78 GB 0c15a652 download
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-Q2_K_S.gguf 9.09 GB abb97510 download
IQ2 4 files 32.0 GB
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-IQ2_M.gguf 8.84 GB 6e1db86b download
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-IQ2_S.gguf 8.18 GB a1f4e4bc download
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-IQ2_XS.gguf 7.86 GB d3c1b762 download
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-IQ2_XXS.gguf 7.16 GB bd8b306a download
IQ1 2 files 12.2 GB
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-IQ1_M.gguf 6.33 GB 821e2a9f download
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.i1-IQ1_S.gguf 5.83 GB d1e7ce03 download
Auxiliary files 3 files 12.5 MB
Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning.imatrix.gguf 12.5 MB ec4fda12 download
README.md 7.96 KB 5a6a9c7f download
.gitattributes 3.98 KB f53e6f03 download

README current version from Hugging Face


base_model: DavidAU/Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning
datasets:

  • TeichAI/gemini-3-pro-preview-high-reasoning-250x
    language:
  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • uncensored
  • heretic
  • abliterated
  • unsloth
  • finetune

About

weighted/imatrix quants of https://huggingface.co/DavidAU/Gemma-3-27b-it-Uncensored-HERETIC-Gemini-Deep-Reasoning

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-Uncensored-HERETIC-Gemini-Deep-Reasoning-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 6 versions

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

  1. 2026-01-28auto-patch README.md9b14a1c8 KB
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  3. 2026-01-28auto-patch README.md68f02c86.4 KB
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  4. 2026-01-28auto-patch README.mdc85a7cb4.9 KB
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  5. 2026-01-28auto-patch README.md8f88f373.3 KB
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  6. 2026-01-28uploaded from nico10160b6a509 B
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