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

mradermacher Gemma 27B GGUF second-order 131K ctx
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Response includes
  • classification m3
  • files 15
  • hub_downloads_all_time 3,847
  • author_summary 3324 models
  • readme_text full
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What "m3" means · taxonomy
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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
M1 Direct removal →
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)
How we label → About M3 →
Refusal direction extracted via
Extraction technique

Difference-of-means

FromArditi et al. (2024) ↗
Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
What is a refusal direction? → Read the paper ↗
Downloads · lifetime
4K
595 last 30d - stable
Likes
1
Model age
7mo ago
created 2026-02-26

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.

TeichAI/glm-4.7-2000x
Downloads over time
Now4K→from834↑382%
6751.9K3.1K4.3K834 on Feb 254K on Oct 11FebAprJunAugOct
Feb 25 → Oct 11 · 72 snapshots · spans 228 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.

DavidAU/Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking this lineage
mradermacher/Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking-GGUF↓ 595

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
IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf uncensored heretic abliterated unsloth finetune All use cases bfloat16 creative creative writing fiction writing

Related

Other by mradermacher
Ornith-1.5-9B-uncensored-GGUF 1.5M Qwen3-VL-8B-Instruct-abliterated-GGUF 667K Qwen3.8-Flash-Next-Uncensored-i1-GGUF 153K gemma-4-26B-A4B-it-ultra-uncensored-heretic-i1-GGUF 138K Qwen3.8-9B-heretic-uncensored-GGUF 106K
Same base model
mradermacher/Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking-i1-GGUF 815
Total size
174 GB
Files
15
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2026-02-27 08:46
Source huggingface.co/mradermacher/Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking-GGUF ↗ Base model DavidAU/Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking ↗

Files by quantization

Q8_0 2 files 27.3 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.Q8_0.gguf 26.7 GB 6d63dabb download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.mmproj-Q8_0.gguf 570 MB f0fdb5f9 download
Q6_K 1 file 20.6 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.Q6_K.gguf 20.6 GB b0c5f252 download
Q5_K 2 files 35.4 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.Q5_K_M.gguf 17.9 GB d193b169 download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.Q5_K_S.gguf 17.5 GB a18b857f download
Q4_K 2 files 30.0 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.Q4_K_M.gguf 15.4 GB 0df224ea download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.Q4_K_S.gguf 14.6 GB 343a43d9 download
IQ4 1 file 13.9 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.IQ4_XS.gguf 13.9 GB 7cbcf7c0 download
Q3_K 3 files 37.4 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.Q3_K_L.gguf 13.5 GB 65e3a6fc download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.Q3_K_M.gguf 12.5 GB 249df578 download
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.Q3_K_S.gguf 11.3 GB 800a7a3b download
Q2_K 1 file 9.78 GB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.Q2_K.gguf 9.78 GB 4ac132a4 download
F16 1 file 818 MB
Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking.mmproj-f16.gguf 818 MB e19b5188 download
Auxiliary files 2 files 8.34 KB
README.md 5.42 KB 100c2f94 download
.gitattributes 2.92 KB fea1c5d2 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

static 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.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking-i1-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 mmproj-Q8_0 0.7 multi-modal supplement
GGUF mmproj-f16 1.0 multi-modal supplement
GGUF Q2_K 10.6
GGUF Q3_K_S 12.3
GGUF Q3_K_M 13.5 lower quality
GGUF Q3_K_L 14.6
GGUF IQ4_XS 15.0
GGUF Q4_K_S 15.8 fast, recommended
GGUF Q4_K_M 16.6 fast, recommended
GGUF Q5_K_S 18.9
GGUF Q5_K_M 19.4
GGUF Q6_K 22.3 very good quality
GGUF Q8_0 28.8 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.

README history 4 versions

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

  1. 2026-02-27auto-patch README.md4d2bede5.4 KB
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  2. 2026-02-26auto-patch README.mda039de95.5 KB
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  3. 2026-02-26auto-patch README.mde69a22b5.3 KB
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  4. 2026-02-26uploaded from nico1ad9dd48415 B
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