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mradermacher/Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking-i1-GGUF

mradermacher Gemma 1B GGUF second-order 33K ctx
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Response includes
  • classification m3
  • files 27
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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
11K
821 last 30d - cooling
Likes
4
Model age
8mo ago
created 2026-02-01

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
Now11.2K→from2.2K↑411%
1.7K5.2K8.6K12.1K2.2K on Feb 411.2K on Oct 11FebAprJunAugOct
Feb 4 → Oct 11 · 75 snapshots · spans 249 days

Genealogy 0 direct forks

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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
16.2 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-02-01 09:43

Files by quantization

Q6_K 1 file 965 MB
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-Q6_K.gguf 965 MB fae8580b download
Q5_K 2 files 1.57 GB
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-Q5_K_M.gguf 812 MB c113d99d download
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-Q5_K_S.gguf 798 MB 36439ebb download
Q4_K 2 files 1.48 GB
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-Q4_K_M.gguf 769 MB 04eeb5e6 download
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-Q4_K_S.gguf 745 MB c188b106 download
Q4 2 files 1.38 GB
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-Q4_1.gguf 729 MB b5cba8d1 download
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-Q4_0.gguf 688 MB 43d9d459 download
Q3_K 3 files 2.01 GB
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-Q3_K_L.gguf 717 MB 41348f5f download
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-Q3_K_M.gguf 689 MB 2c51f573 download
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-Q3_K_S.gguf 657 MB 2b1c0028 download
IQ4 2 files 1.34 GB
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-IQ4_NL.gguf 688 MB 79753bf1 download
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-IQ4_XS.gguf 681 MB ea49875b download
IQ3 4 files 2.57 GB
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-IQ3_M.gguf 665 MB e6867206 download
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-IQ3_S.gguf 658 MB 010f8c5a download
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-IQ3_XS.gguf 658 MB 89db1008 download
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-IQ3_XXS.gguf 649 MB 5f8f2132 download
Q2_K 2 files 1.27 GB
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-Q2_K.gguf 658 MB b230c01c download
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-Q2_K_S.gguf 640 MB 0646060f download
IQ2 4 files 2.46 GB
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-IQ2_M.gguf 639 MB cecc95af download
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-IQ2_S.gguf 633 MB d61bf2f4 download
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-IQ2_XS.gguf 627 MB ed33e613 download
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-IQ2_XXS.gguf 621 MB 31bc85e4 download
IQ1 2 files 1.19 GB
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-IQ1_M.gguf 614 MB 97a3035e download
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.i1-IQ1_S.gguf 610 MB cf5d8405 download
Auxiliary files 3 files 1.40 MB
Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking.imatrix.gguf 1.39 MB 0d9f3532 download
README.md 8.25 KB 3b4cc705 download
.gitattributes 4.08 KB 38c451da download

README current version from Hugging Face


base_model: DavidAU/Gemma-3-1B-it-GLM-4.7-Flash-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-3-1B-it-GLM-4.7-Flash-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-3-1B-it-GLM-4.7-Flash-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 0.7 for the desperate
GGUF i1-IQ1_M 0.7 mostly desperate
GGUF i1-IQ2_XXS 0.8
GGUF i1-IQ2_XS 0.8
GGUF i1-IQ2_S 0.8
GGUF i1-IQ2_M 0.8
GGUF i1-Q2_K_S 0.8 very low quality
GGUF i1-IQ3_XXS 0.8 lower quality
GGUF i1-Q3_K_S 0.8 IQ3_XS probably better
GGUF i1-IQ3_S 0.8 beats Q3_K*
GGUF i1-IQ3_XS 0.8
GGUF i1-Q2_K 0.8 IQ3_XXS probably better
GGUF i1-IQ3_M 0.8
GGUF i1-IQ4_XS 0.8
GGUF i1-IQ4_NL 0.8 prefer IQ4_XS
GGUF i1-Q4_0 0.8 fast, low quality
GGUF i1-Q3_K_M 0.8 IQ3_S probably better
GGUF i1-Q3_K_L 0.9 IQ3_M probably better
GGUF i1-Q4_1 0.9
GGUF i1-Q4_K_S 0.9 optimal size/speed/quality
GGUF i1-Q4_K_M 0.9 fast, recommended
GGUF i1-Q5_K_S 0.9
GGUF i1-Q5_K_M 1.0
GGUF i1-Q6_K 1.1 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 2 versions

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

  1. 2026-02-01auto-patch README.md6b80a648.3 KB
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  2. 2026-02-01uploaded from rainbb45a1a509 B
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