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mradermacher/Qwen3.5-35B-A3B-uncensored-heretic-GGUF

mradermacher Qwen 35B GGUF MoE second-order 262K ctx
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Response includes
  • classification m3
  • files 15
  • benchmarks 11 entries
  • hub_downloads_all_time 2,834
  • 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
3K
695 last 30d - stable
Likes
0
Model age
5mo ago
created 2026-05-03
Downloads over time
Now3K→from1.2K↑157%
1.1K1.8K2.4K3.1K1.2K on May 63K on Oct 11MayJunJulAugSepOct
May 6 → Oct 11 · 62 snapshots · spans 158 days

Benchmarks

Benchmark Score Source
Entertainment 1.4 UGI
Hazardous 2.4 UGI
Natural Intelligence 27.72 UGI
Political lean -16.0% UGI
Sensitive-Info 14.44 UGI
SocPol 0.7 UGI
UGI 42.13 UGI
Willingness (10) 9.8 UGI
W10-Adherence 9.5 UGI
W10-Direct 10 UGI
Writing 39.52 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 · 4K 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
IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf heretic uncensored decensored abliterated en base_model:llmfan46/Qwen3.5-35B-A3B-uncensored-heretic base_model:quantized:llmfan46/Qwen3.5-35B-A3B-uncensored-heretic license:apache-2.0 endpoints_compatible region:us

Related

Total size
221 GB
Files
15
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2026-05-03 06:42

Files by quantization

Q8_0 2 files 34.9 GB
Qwen3.5-35B-A3B-uncensored-heretic.Q8_0.gguf 34.4 GB c096266e download
Qwen3.5-35B-A3B-uncensored-heretic.mmproj-Q8_0.gguf 586 MB b110ed03 download
Q6_K 1 file 26.6 GB
Qwen3.5-35B-A3B-uncensored-heretic.Q6_K.gguf 26.6 GB 387b2cc2 download
Q5_K 2 files 45.4 GB
Qwen3.5-35B-A3B-uncensored-heretic.Q5_K_M.gguf 23.0 GB c2dd720f download
Qwen3.5-35B-A3B-uncensored-heretic.Q5_K_S.gguf 22.3 GB a7e1855c download
Q4_K 2 files 38.2 GB
Qwen3.5-35B-A3B-uncensored-heretic.Q4_K_M.gguf 19.7 GB cb40f775 download
Qwen3.5-35B-A3B-uncensored-heretic.Q4_K_S.gguf 18.5 GB 376bb091 download
IQ4 1 file 17.6 GB
Qwen3.5-35B-A3B-uncensored-heretic.IQ4_XS.gguf 17.6 GB 2ebf23e0 download
Q3_K 3 files 46.6 GB
Qwen3.5-35B-A3B-uncensored-heretic.Q3_K_L.gguf 16.9 GB 1b10d360 download
Qwen3.5-35B-A3B-uncensored-heretic.Q3_K_M.gguf 15.6 GB 072dc252 download
Qwen3.5-35B-A3B-uncensored-heretic.Q3_K_S.gguf 14.1 GB 0e5563b2 download
Q2_K 1 file 12.1 GB
Qwen3.5-35B-A3B-uncensored-heretic.Q2_K.gguf 12.1 GB e5f9b6c3 download
F16 1 file 858 MB
Qwen3.5-35B-A3B-uncensored-heretic.mmproj-f16.gguf 858 MB 645b44e0 download
Auxiliary files 2 files 6.82 KB
README.md 4.28 KB 93d4bce1 download
.gitattributes 2.54 KB dd448d60 download

README current version from Hugging Face


base_model: llmfan46/Qwen3.5-35B-A3B-uncensored-heretic
language:


About

static quants of https://huggingface.co/llmfan46/Qwen3.5-35B-A3B-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/Qwen3.5-35B-A3B-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 mmproj-Q8_0 0.7 multi-modal supplement
GGUF mmproj-f16 1.0 multi-modal supplement
GGUF Q2_K 13.0
GGUF Q3_K_S 15.3
GGUF Q3_K_M 16.9 lower quality
GGUF Q3_K_L 18.2
GGUF IQ4_XS 19.0
GGUF Q4_K_S 20.0 fast, recommended
GGUF Q4_K_M 21.3 fast, recommended
GGUF Q5_K_S 24.1
GGUF Q5_K_M 24.8
GGUF Q6_K 28.6 very good quality
GGUF Q8_0 37.0 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 4 versions

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

  1. 2026-05-03auto-patch README.md39604c34.3 KB
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  2. 2026-05-03auto-patch README.md83583124.1 KB
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  3. 2026-05-03auto-patch README.md42493963.4 KB
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  4. 2026-05-03uploaded from nico18a620d4386 B
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