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mradermacher/Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning-i1-GGUF

mradermacher Glm 27B GGUF second-order 131K ctx
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  • files 26
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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
36K
2K last 30d - cooling
Likes
11
Model age
8mo ago
created 2026-02-02

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
Now36.7K→from305↑11,943%
013.5K26.9K40.4K305 on Jan 2836.7K on Oct 11JanMarMayJulSep
Jan 28 → Oct 11 · 78 snapshots · spans 256 days

Genealogy 0 direct forks

Full fork graph →

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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
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 All use cases bfloat16 creative creative writing fiction writing

Related

Total size
275 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-02-15 17:25

Files by quantization

Q6_K 1 file 20.6 GB
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-Q6_K.gguf 20.6 GB 38d6dd23 download
Q5_K 2 files 35.4 GB
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-Q5_K_M.gguf 17.9 GB 567201ce download
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-Q5_K_S.gguf 17.5 GB 10d51f86 download
Q4 2 files 30.5 GB
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-Q4_1.gguf 16.0 GB b2b11afe download
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-Q4_0.gguf 14.5 GB da65c7c0 download
Q4_K 2 files 30.0 GB
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-Q4_K_M.gguf 15.4 GB d9f99c82 download
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-Q4_K_S.gguf 14.6 GB 9a25b219 download
IQ4 1 file 13.8 GB
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-IQ4_XS.gguf 13.8 GB 5e40015a download
Q3_K 3 files 37.4 GB
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-Q3_K_L.gguf 13.5 GB 115646f8 download
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-Q3_K_M.gguf 12.5 GB 6bc2b9e4 download
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-Q3_K_S.gguf 11.3 GB 0290729b download
IQ3 4 files 43.8 GB
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-IQ3_M.gguf 11.7 GB 25c62ee1 download
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-IQ3_S.gguf 11.3 GB 54681741 download
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-IQ3_XS.gguf 10.8 GB d2590fc4 download
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-IQ3_XXS.gguf 9.98 GB e24a9fa3 download
Q2_K 2 files 18.9 GB
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-Q2_K.gguf 9.78 GB 85749271 download
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-Q2_K_S.gguf 9.09 GB 3e0e3889 download
IQ2 4 files 32.0 GB
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-IQ2_M.gguf 8.84 GB 1c12bc9c download
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-IQ2_S.gguf 8.18 GB c0196a08 download
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-IQ2_XS.gguf 7.86 GB f21bf08d download
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-IQ2_XXS.gguf 7.16 GB 3570272f download
IQ1 2 files 12.2 GB
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-IQ1_M.gguf 6.33 GB a1fed9b1 download
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.i1-IQ1_S.gguf 5.83 GB 2aa88756 download
Auxiliary files 3 files 12.5 MB
Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning.imatrix.gguf 12.5 MB 66377a70 download
README.md 8.38 KB fef0ae5e download
.gitattributes 4.05 KB 44906eef download

README current version from Hugging Face


base_model: DavidAU/Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning
datasets:

  • TeichAI/glm-4.7-2000x
    language:
  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • uncensored
  • heretic
  • abliterated
  • unsloth
  • finetune
  • All use cases
  • bfloat16
  • creative
  • creative writing
  • fiction writing
  • plot generation
  • sub-plot generation
  • fiction writing
  • story generation
  • scene continue
  • storytelling
  • fiction story
  • science fiction
  • romance
  • all genres
  • story
  • writing
  • vivid prosing
  • vivid writing
  • fiction

About

weighted/imatrix quants of https://huggingface.co/DavidAU/Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-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/Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-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 5 versions

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

  1. 2026-02-15auto-patch README.md0cba56b8.4 KB
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  2. 2026-02-12auto-patch README.md6ef37d48.2 KB
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  3. 2026-02-02auto-patch README.md7b4f78e8.4 KB
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  4. 2026-02-02auto-patch README.mdf64d5975.7 KB
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  5. 2026-02-02uploaded from nico133f9969512 B
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