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mradermacher/Tower-Plus-72B-ultra-uncensored-heretic-GGUF

mradermacher 72B GGUF second-order 33K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
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Response includes
  • classification m3
  • files 13
  • hub_downloads_all_time 2,070
  • author_summary 3324 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 · lifetime
2K
507 last 30d - stable
Likes
1
Model age
3mo ago
created 2026-06-15
Downloads over time
Now2.3K→from566↑300%
4381.1K1.8K2.4K566 on Jun 172.3K on Oct 11JunJulAugSepOct
Jun 17 → Oct 11 · 57 snapshots · spans 116 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.

Variants by this author 2 formats · 2K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

Languages
de nl is es fr pt uk hi zh ru cs ko ja it en da pl hu sv ro fi
Quantizations
IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf heretic uncensored decensored abliterated mpoa visual novels de nl is es

Related

Total size
485 GB
Files
13
Quantizations
8
Registered
2026-08-22 13:56
Last updated on HF
2026-06-16 09:46

Files by quantization

Q8_0 1 file 72.0 GB
Tower-Plus-72B-ultra-uncensored-heretic.Q8_0.gguf 72.0 GB 468ba216 download
Q6_K 1 file 59.9 GB
Tower-Plus-72B-ultra-uncensored-heretic.Q6_K.gguf 59.9 GB 9d3bc6cb download
Q5_K 2 files 98.6 GB
Tower-Plus-72B-ultra-uncensored-heretic.Q5_K_M.gguf 50.7 GB 75bb6442 download
Tower-Plus-72B-ultra-uncensored-heretic.Q5_K_S.gguf 47.8 GB e74de9d6 download
Q4_K 2 files 85.0 GB
Tower-Plus-72B-ultra-uncensored-heretic.Q4_K_M.gguf 44.2 GB 7ef17d35 download
Tower-Plus-72B-ultra-uncensored-heretic.Q4_K_S.gguf 40.9 GB 2dd763d8 download
IQ4 1 file 37.4 GB
Tower-Plus-72B-ultra-uncensored-heretic.IQ4_XS.gguf 37.4 GB 8833d895 download
Q3_K 3 files 104 GB
Tower-Plus-72B-ultra-uncensored-heretic.Q3_K_L.gguf 36.8 GB d9b0ebf0 download
Tower-Plus-72B-ultra-uncensored-heretic.Q3_K_M.gguf 35.1 GB 9f882c57 download
Tower-Plus-72B-ultra-uncensored-heretic.Q3_K_S.gguf 32.1 GB 08a7d902 download
Q2_K 1 file 27.8 GB
Tower-Plus-72B-ultra-uncensored-heretic.Q2_K.gguf 27.8 GB 5418fd25 download
Auxiliary files 2 files 6.50 KB
README.md 4.08 KB 88d34555 download
.gitattributes 2.42 KB 7b93192a download

README current version from Hugging Face


base_model: llmfan46/Tower-Plus-72B-ultra-uncensored-heretic
language:

  • de
  • nl
  • is
  • es
  • fr
  • pt
  • uk
  • hi
  • zh
  • ru
  • cs
  • ko
  • ja
  • it
  • en
  • da
  • pl
  • hu
  • sv
  • no
  • ro
  • fi
    library_name: transformers
    license: cc-by-nc-sa-4.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • heretic
  • uncensored
  • decensored
  • abliterated
  • mpoa
  • visual novels

About

static quants of https://huggingface.co/llmfan46/Tower-Plus-72B-ultra-uncensored-heretic

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Tower-Plus-72B-ultra-uncensored-heretic-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 Q2_K 29.9
GGUF Q3_K_S 34.6
GGUF Q3_K_M 37.8 lower quality
GGUF Q3_K_L 39.6
GGUF IQ4_XS 40.3
GGUF Q4_K_S 44.0 fast, recommended
GGUF Q4_K_M 47.5 fast, recommended
GGUF Q5_K_S 51.5
GGUF Q5_K_M 54.5
GGUF Q6_K 64.4 very good quality
GGUF Q8_0 77.4 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 7 versions

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

  1. 2026-06-16auto-patch README.mdce573bd4.1 KB
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  4. 2026-06-16auto-patch README.mda38ffa93.7 KB
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  5. 2026-06-15auto-patch README.md67ffada2.9 KB
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  6. 2026-06-15auto-patch README.md1ff92532.4 KB
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  7. 2026-06-15uploaded from marco65f56d2391 B
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