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mradermacher/Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking-i1-GGUF

mradermacher Gemma 27B GGUF second-order 131K ctx
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  • classification m3
  • files 26
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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
7K
815 last 30d - stable
Likes
1
Model age
7mo ago
created 2026-02-27

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
Now7.2K→from2.3K↑211%
2.1K4K5.8K7.7K2.3K on Feb 257.2K on Oct 11FebAprJunAugOct
Feb 25 → Oct 11 · 72 snapshots · spans 228 days

Genealogy 0 direct forks

Full fork graph →

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Variants by this author 2 formats · 1K 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
2026-04-30 18:28

Files by quantization

Q6_K 1 file 20.6 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-Q6_K.gguf 20.6 GB 849edf11 download
Q5_K 2 files 35.4 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-Q5_K_M.gguf 17.9 GB f9bd74f2 download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-Q5_K_S.gguf 17.5 GB 4c80de90 download
Q4 2 files 30.5 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-Q4_1.gguf 16.0 GB def7ad8d download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-Q4_0.gguf 14.5 GB 6c0188d2 download
Q4_K 2 files 30.0 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-Q4_K_M.gguf 15.4 GB 055dd818 download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-Q4_K_S.gguf 14.6 GB b081a475 download
IQ4 1 file 13.8 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-IQ4_XS.gguf 13.8 GB 7e797d0f download
Q3_K 3 files 37.4 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-Q3_K_L.gguf 13.5 GB ce801997 download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-Q3_K_M.gguf 12.5 GB e12ae718 download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-Q3_K_S.gguf 11.3 GB 2f7e1c4d download
IQ3 4 files 43.8 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-IQ3_M.gguf 11.7 GB df886878 download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-IQ3_S.gguf 11.3 GB 12ff2f23 download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-IQ3_XS.gguf 10.8 GB d41e2686 download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-IQ3_XXS.gguf 9.98 GB 01380fd6 download
Q2_K 2 files 18.9 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-Q2_K.gguf 9.78 GB d39627ec download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-Q2_K_S.gguf 9.09 GB 3ef6f71a download
IQ2 4 files 32.0 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-IQ2_M.gguf 8.84 GB a41fb6b3 download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-IQ2_S.gguf 8.18 GB 61ea2e95 download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-IQ2_XS.gguf 7.86 GB 95ca2a8f download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-IQ2_XXS.gguf 7.16 GB b3098083 download
IQ1 2 files 12.2 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-IQ1_M.gguf 6.33 GB 3b6cf279 download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.i1-IQ1_S.gguf 5.83 GB c0f3c002 download
Auxiliary files 3 files 12.5 MB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.imatrix.gguf 12.5 MB b95334fb download
README.md 8.50 KB 853499bb download
.gitattributes 4.19 KB 2ee7c05e download

README current version from Hugging Face


base_model: DavidAU/Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking
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/Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking

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-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking-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 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 4 versions

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

  1. 2026-04-30auto-patch README.md53f5bbc8.5 KB
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  2. 2026-02-27auto-patch README.mdb67b6d58.7 KB
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  3. 2026-02-27auto-patch README.mdb7d6f976.6 KB
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  4. 2026-02-27uploaded from nico1bc0546d518 B
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