← back to catalog · registered 2026-08-22 13:56

mradermacher/Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2-i1-GGUF

mradermacher 27B GGUF second-order 262K ctx
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Response includes
  • classification m3
  • files 26
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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
4K
1K last 30d - stable
Likes
3
Model age
6mo ago
created 2026-03-24

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
Now4.6K→from744↑522%
5502K3.5K5K744 on Mar 254.6K on Oct 11MarAprMayJunJulAugSepOct
Mar 25 → Oct 11 · 68 snapshots · spans 200 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

License
mit
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf heretic uncensored decensored abliterated ara en dataset:zerofata/Instruct-Anime dataset:zerofata/Gemini-3.1-Pro-SmallWiki dataset:zerofata/Gemini-3.1-Pro-GLM5-Characters dataset:zerofata/Roleplay-Anime-Characters

Related

Total size
280 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-03-24 13:39

Files by quantization

Q6_K 1 file 20.6 GB
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-Q6_K.gguf 20.6 GB a0114aba download
Q5_K 2 files 35.3 GB
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-Q5_K_M.gguf 17.9 GB 8c686cf9 download
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-Q5_K_S.gguf 17.4 GB a2d612fa download
Q4 2 files 30.4 GB
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-Q4_1.gguf 15.9 GB 0ef81968 download
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-Q4_0.gguf 14.5 GB e9e8e5f3 download
Q4_K 2 files 29.9 GB
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-Q4_K_M.gguf 15.4 GB 4b87767f download
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-Q4_K_S.gguf 14.5 GB ac8102fc download
IQ4 1 file 14.0 GB
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-IQ4_XS.gguf 14.0 GB a003ba14 download
Q3_K 3 files 37.0 GB
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-Q3_K_L.gguf 13.4 GB db512a6b download
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-Q3_K_M.gguf 12.4 GB b6d98947 download
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-Q3_K_S.gguf 11.2 GB 3acf781e download
IQ3 4 files 44.8 GB
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-IQ3_M.gguf 11.7 GB 20853d2d download
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-IQ3_S.gguf 11.6 GB 4d3b3eaa download
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-IQ3_XS.gguf 11.1 GB 2e6a3457 download
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-IQ3_XXS.gguf 10.4 GB 9b461c1e download
Q2_K 2 files 19.5 GB
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-Q2_K.gguf 9.98 GB f8a2fb76 download
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-Q2_K_S.gguf 9.54 GB 7216af08 download
IQ2 4 files 34.4 GB
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-IQ2_M.gguf 9.32 GB 64a26917 download
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-IQ2_S.gguf 8.72 GB a63af846 download
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-IQ2_XS.gguf 8.47 GB 56d41134 download
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-IQ2_XXS.gguf 7.85 GB 24b25db5 download
IQ1 2 files 13.8 GB
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-IQ1_M.gguf 7.11 GB 50a165a9 download
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.i1-IQ1_S.gguf 6.66 GB a6e52939 download
Auxiliary files 3 files 13.0 MB
Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2.imatrix.gguf 13.0 MB cff935bb download
README.md 7.68 KB bf1811b4 download
.gitattributes 3.81 KB 7bc43632 download

README current version from Hugging Face


base_model: llmfan46/Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2
datasets:

  • zerofata/Instruct-Anime
  • zerofata/Gemini-3.1-Pro-SmallWiki
  • zerofata/Gemini-3.1-Pro-GLM5-Characters
  • zerofata/Roleplay-Anime-Characters
    language:
  • en
    library_name: transformers
    license: mit
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • heretic
  • uncensored
  • decensored
  • abliterated
  • ara

About

weighted/imatrix quants of https://huggingface.co/llmfan46/Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2

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

static quants are available at https://huggingface.co/mradermacher/Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2-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 7.2 for the desperate
GGUF i1-IQ1_M 7.7 mostly desperate
GGUF i1-IQ2_XXS 8.5
GGUF i1-IQ2_XS 9.2
GGUF i1-IQ2_S 9.5
GGUF i1-IQ2_M 10.1
GGUF i1-Q2_K_S 10.3 very low quality
GGUF i1-Q2_K 10.8 IQ3_XXS probably better
GGUF i1-IQ3_XXS 11.3 lower quality
GGUF i1-IQ3_XS 12.1
GGUF i1-Q3_K_S 12.2 IQ3_XS probably better
GGUF i1-IQ3_S 12.5 beats Q3_K*
GGUF i1-IQ3_M 12.7
GGUF i1-Q3_K_M 13.4 IQ3_S probably better
GGUF i1-Q3_K_L 14.4 IQ3_M probably better
GGUF i1-IQ4_XS 15.2
GGUF i1-Q4_0 15.6 fast, low quality
GGUF i1-Q4_K_S 15.7 optimal size/speed/quality
GGUF i1-Q4_K_M 16.6 fast, recommended
GGUF i1-Q4_1 17.2
GGUF i1-Q5_K_S 18.8
GGUF i1-Q5_K_M 19.3
GGUF i1-Q6_K 22.2 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. 2026-03-24auto-patch README.md7900a887.7 KB
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  2. 2026-03-24auto-patch README.md740030b4 KB
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  3. 2026-03-24uploaded from nico1d6495f6503 B
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