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mradermacher/Qwen3.8-31B-Looping-Transformer-Ablit-Heretic-ARA-Uncensored-i1-GGUF

mradermacher 31B GGUF second-order
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  • classification m3
  • files 6
  • author_summary 3529 models
  • readme_text full
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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 · 30-day
0
Likes
0
Model age
today
created 2026-11-10

Genealogy 0 direct forks

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Variants by this author 2 formats · 0 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
IQ3 Q2_K Q4_K
Tags
transformers gguf looping-transformer experimental qwen3_8 abliterated ara heretic uncensored qwen3_6 finetune Cold Fusion

Related

Total size
40.7 GB
Files
6
Quantizations
4
Registered
2026-11-10 15:03
Last updated on HF
2026-11-10 15:42

Files by quantization

Q4_K 1 file 16.3 GB
Qwen3.8-31B-Looping-Transformer-Ablit-Heretic-ARA-Uncensored.i1-Q4_K_S.gguf 16.3 GB e2220336 download
IQ3 1 file 13.2 GB
Qwen3.8-31B-Looping-Transformer-Ablit-Heretic-ARA-Uncensored.i1-IQ3_M.gguf 13.2 GB 3e334845 download
Q2_K 1 file 11.2 GB
Qwen3.8-31B-Looping-Transformer-Ablit-Heretic-ARA-Uncensored.i1-Q2_K.gguf 11.2 GB 77238b01 download
Auxiliary files 3 files 29.3 MB
Qwen3.8-31B-Looping-Transformer-Ablit-Heretic-ARA-Uncensored.imatrix.gguf 29.3 MB 94a0821a download
README.md 4.17 KB 8f8ec038 download
.gitattributes 1.92 KB 043367e3 download

README current version from Hugging Face


base_model: DavidAU/Qwen3.8-31B-Looping-Transformer-Ablit-Heretic-ARA-Uncensored
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • looping-transformer
  • experimental
  • qwen3_8
  • abliterated
  • ara
  • heretic
  • uncensored
  • heretic
  • qwen3_8
  • qwen3_6
  • uncensored
  • heretic
  • abliterated
  • finetune
  • Cold Fusion
  • GAIN Training
  • Multi-stage tuning
  • all use cases
  • unsloth
  • 27 reasoning modes
  • 27 instruct modes
  • 15 AI Constructs
  • 5 Super AI Constructs
  • Brainstorm AI Construct
  • Brainstorm Business AI Construct
  • Universal Teacher AI Construct
  • Agent AI Construct
  • Coder AI Construct
  • Turbo-Brilliance
  • 9 Xhigh reasoning modes
  • unsloth
  • fine tune
  • multi-stage tuned
  • thinking
  • reasoning
  • all use cases
  • coder
  • creative
  • creative writing
  • all genres
  • story
  • writing
  • fiction
  • roleplaying
  • bfloat16
  • all use cases

About

weighted/imatrix quants of https://huggingface.co/DavidAU/Qwen3.8-31B-Looping-Transformer-Ablit-Heretic-ARA-Uncensored

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/Qwen3.8-31B-Looping-Transformer-Ablit-Heretic-ARA-Uncensored-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-Q2_K 12.1 IQ3_XXS probably better
GGUF i1-IQ3_M 14.2
GGUF i1-Q4_K_S 17.7 optimal size/speed/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. 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.

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