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mradermacher/Magistral-Small-2509-ultra-uncensored-heretic-v1-i1-GGUF

mradermacher GGUF second-order 131K ctx
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Response includes
  • classification m3
  • files 26
  • benchmarks 11 entries
  • hub_downloads_all_time 4,894
  • 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
5K
1K last 30d - stable
Likes
0
Model age
6mo ago
created 2026-03-21
Downloads over time
Now5K→from3K↑67%
2.9K3.7K4.5K5.2K3K on Mar 255K on Oct 115K on Oct 10MarAprMayJunJulAugSepOct
Mar 25 → Oct 11 · 68 snapshots · spans 200 days

Benchmarks

Benchmark Score Source
Entertainment 1.5 UGI
Hazardous 2.9 UGI
Natural Intelligence 23.78 UGI
Political lean -19.5% UGI
Sensitive-Info 22.83 UGI
SocPol 2.7 UGI
UGI 43.55 UGI
Willingness (10) 8.5 UGI
W10-Adherence 9 UGI
W10-Direct 8 UGI
Writing 31.64 UGI

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

License
apache-2.0
Languages
en fr de es pt it ja ko ru zh ar fa id ms ne pl ro sr sv tr uk vi hi bn
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf vllm mistral-common heretic uncensored decensored abliterated ara en fr de

Related

Total size
236 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-03-21 16:26

Files by quantization

Q6_K 1 file 18.0 GB
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-Q6_K.gguf 18.0 GB 9ffe5871 download
Q5_K 2 files 30.8 GB
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-Q5_K_M.gguf 15.6 GB d48d5da8 download
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-Q5_K_S.gguf 15.2 GB 989aeb9c download
Q4 2 files 26.4 GB
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-Q4_1.gguf 13.9 GB 25ce696f download
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-Q4_0.gguf 12.6 GB 6699ed65 download
Q4_K 2 files 26.0 GB
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-Q4_K_M.gguf 13.3 GB 1e35a7d8 download
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-Q4_K_S.gguf 12.6 GB 8433bd76 download
IQ4 1 file 11.9 GB
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-IQ4_XS.gguf 11.9 GB 87f61f7f download
Q3_K 3 files 31.9 GB
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-Q3_K_L.gguf 11.5 GB f8296ce9 download
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-Q3_K_M.gguf 10.7 GB 581661f3 download
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-Q3_K_S.gguf 9.69 GB f8a943ac download
IQ3 4 files 37.5 GB
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-IQ3_M.gguf 9.92 GB c4d89a10 download
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-IQ3_S.gguf 9.71 GB 130f0791 download
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-IQ3_XS.gguf 9.23 GB cd3e84e6 download
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-IQ3_XXS.gguf 8.64 GB 48209039 download
Q2_K 2 files 16.0 GB
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-Q2_K.gguf 8.28 GB def8b0f2 download
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-Q2_K_S.gguf 7.75 GB f629c458 download
IQ2 4 files 27.3 GB
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-IQ2_M.gguf 7.56 GB a19cf901 download
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-IQ2_S.gguf 6.96 GB 202a7fdd download
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-IQ2_XS.gguf 6.71 GB aeb11a3b download
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-IQ2_XXS.gguf 6.10 GB 848e44bb download
IQ1 2 files 10.3 GB
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-IQ1_M.gguf 5.36 GB ffa85b49 download
Magistral-Small-2509-ultra-uncensored-heretic-v1.i1-IQ1_S.gguf 4.91 GB ca3a04e4 download
Auxiliary files 3 files 9.58 MB
Magistral-Small-2509-ultra-uncensored-heretic-v1.imatrix.gguf 9.57 MB b12daeed download
README.md 7.67 KB 801f4a23 download
.gitattributes 3.81 KB 1de60774 download

README current version from Hugging Face


base_model: llmfan46/Magistral-Small-2509-ultra-uncensored-heretic-v1
language:

  • en
  • fr
  • de
  • es
  • pt
  • it
  • ja
  • ko
  • ru
  • zh
  • ar
  • fa
  • id
  • ms
  • ne
  • pl
  • ro
  • sr
  • sv
  • tr
  • uk
  • vi
  • hi
  • bn
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • vllm
  • mistral-common
  • heretic
  • uncensored
  • decensored
  • abliterated
  • ara

About

weighted/imatrix quants of https://huggingface.co/llmfan46/Magistral-Small-2509-ultra-uncensored-heretic-v1

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

static quants are available at https://huggingface.co/mradermacher/Magistral-Small-2509-ultra-uncensored-heretic-v1-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-IQ1_S 5.4 for the desperate
GGUF i1-IQ1_M 5.9 mostly desperate
GGUF i1-IQ2_XXS 6.6
GGUF i1-IQ2_XS 7.3
GGUF i1-IQ2_S 7.6
GGUF i1-IQ2_M 8.2
GGUF i1-Q2_K_S 8.4 very low quality
GGUF i1-Q2_K 9.0 IQ3_XXS probably better
GGUF i1-IQ3_XXS 9.4 lower quality
GGUF i1-IQ3_XS 10.0
GGUF i1-Q3_K_S 10.5 IQ3_XS probably better
GGUF i1-IQ3_S 10.5 beats Q3_K*
GGUF i1-IQ3_M 10.8
GGUF i1-Q3_K_M 11.6 IQ3_S probably better
GGUF i1-Q3_K_L 12.5 IQ3_M probably better
GGUF i1-IQ4_XS 12.9
GGUF i1-Q4_0 13.6 fast, low quality
GGUF i1-Q4_K_S 13.6 optimal size/speed/quality
GGUF i1-Q4_K_M 14.4 fast, recommended
GGUF i1-Q4_1 15.0
GGUF i1-Q5_K_S 16.4
GGUF i1-Q5_K_M 16.9
GGUF i1-Q6_K 19.4 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 3 versions

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

  1. 2026-03-21auto-patch README.mdbff53d97.7 KB
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  2. 2026-03-21auto-patch README.md41ac8e75.8 KB
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  3. 2026-03-21uploaded from nico1d883c95503 B
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