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mradermacher/Qwen3.6-35B-A3B-abliterated-i1-GGUF

mradermacher Qwen 35B GGUF MoE second-order 262K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 30,361
  • author_summary 3324 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=mradermacher (M8 quantization producer, never originator)
  • is_gguf=1
  • base_model='wangzhang/Qwen3.6-35B-A3B-abliterated' (base has 'abliterated' marker, assume M1 default)
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · lifetime
30K
9K last 30d - stable
Likes
6
Model age
5mo ago
created 2026-04-18
Downloads over time
Now30.9K→from0↑0%
011.3K22.7K34K0 on Apr 1530.9K on Oct 11AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 66 snapshots · spans 179 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 · 18K downloads combined

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

Metadata

License
other
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored qwen3 moe abliterix en base_model:wangzhang/Qwen3.6-35B-A3B-abliterated base_model:quantized:wangzhang/Qwen3.6-35B-A3B-abliterated license:apache-2.0 endpoints_compatible

Related

Total size
345 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-09-08 19:17

Files by quantization

Q6_K 1 file 26.6 GB
Qwen3.6-35B-A3B-abliterated.i1-Q6_K.gguf 26.6 GB 4d5a6961 download
Q5_K 2 files 45.4 GB
Qwen3.6-35B-A3B-abliterated.i1-Q5_K_M.gguf 23.0 GB 3d3b9255 download
Qwen3.6-35B-A3B-abliterated.i1-Q5_K_S.gguf 22.3 GB d07ed22a download
Q4 2 files 38.8 GB
Qwen3.6-35B-A3B-abliterated.i1-Q4_1.gguf 20.3 GB ae864165 download
Qwen3.6-35B-A3B-abliterated.i1-Q4_0.gguf 18.4 GB d21720e6 download
Q4_K 2 files 38.2 GB
Qwen3.6-35B-A3B-abliterated.i1-Q4_K_M.gguf 19.7 GB 964bac6c download
Qwen3.6-35B-A3B-abliterated.i1-Q4_K_S.gguf 18.5 GB fc277b6c download
IQ4 1 file 17.4 GB
Qwen3.6-35B-A3B-abliterated.i1-IQ4_XS.gguf 17.4 GB d711108c download
Q3_K 3 files 46.6 GB
Qwen3.6-35B-A3B-abliterated.i1-Q3_K_L.gguf 16.9 GB 2d5ab013 download
Qwen3.6-35B-A3B-abliterated.i1-Q3_K_M.gguf 15.6 GB d361210f download
Qwen3.6-35B-A3B-abliterated.i1-Q3_K_S.gguf 14.1 GB fef07419 download
IQ3 4 files 54.8 GB
Qwen3.6-35B-A3B-abliterated.i1-IQ3_M.gguf 14.4 GB d1500df8 download
Qwen3.6-35B-A3B-abliterated.i1-IQ3_S.gguf 14.2 GB 6cf479c4 download
Qwen3.6-35B-A3B-abliterated.i1-IQ3_XS.gguf 13.5 GB e7e4567e download
Qwen3.6-35B-A3B-abliterated.i1-IQ3_XXS.gguf 12.7 GB 66c88ae7 download
Q2_K 2 files 23.4 GB
Qwen3.6-35B-A3B-abliterated.i1-Q2_K.gguf 12.1 GB 68768b96 download
Qwen3.6-35B-A3B-abliterated.i1-Q2_K_S.gguf 11.3 GB 0a847d3c download
IQ2 4 files 39.4 GB
Qwen3.6-35B-A3B-abliterated.i1-IQ2_M.gguf 10.9 GB 0ff8c6a2 download
Qwen3.6-35B-A3B-abliterated.i1-IQ2_S.gguf 9.92 GB 1b1bee90 download
Qwen3.6-35B-A3B-abliterated.i1-IQ2_XS.gguf 9.79 GB 33ae2b8c download
Qwen3.6-35B-A3B-abliterated.i1-IQ2_XXS.gguf 8.85 GB c4a187f1 download
IQ1 2 files 14.6 GB
Qwen3.6-35B-A3B-abliterated.i1-IQ1_M.gguf 7.67 GB de609ab0 download
Qwen3.6-35B-A3B-abliterated.i1-IQ1_S.gguf 6.97 GB 5156bf14 download
Auxiliary files 3 files 183 MB
Qwen3.6-35B-A3B-abliterated.imatrix.gguf 183 MB 7ff275c2 download
README.md 6.48 KB 6e8cae31 download
.gitattributes 3.32 KB 295f4032 download

README current version from Hugging Face


base_model: wangzhang/Qwen3.6-35B-A3B-abliterated
language:

  • en
    library_name: transformers
    license: other
    license_name: tongyi-qianwen
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored
  • qwen3
  • moe
  • abliterix

About

weighted/imatrix quants of https://huggingface.co/wangzhang/Qwen3.6-35B-A3B-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Qwen3.6-35B-A3B-abliterated-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 0.3 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 7.6 for the desperate
GGUF i1-IQ1_M 8.3 mostly desperate
GGUF i1-IQ2_XXS 9.6
GGUF i1-IQ2_XS 10.6
GGUF i1-IQ2_S 10.8
GGUF i1-IQ2_M 11.8
GGUF i1-Q2_K_S 12.3 very low quality
GGUF i1-Q2_K 13.0 IQ3_XXS probably better
GGUF i1-IQ3_XXS 13.7 lower quality
GGUF i1-IQ3_XS 14.6
GGUF i1-Q3_K_S 15.3 IQ3_XS probably better
GGUF i1-IQ3_S 15.4 beats Q3_K*
GGUF i1-IQ3_M 15.5
GGUF i1-Q3_K_M 16.9 IQ3_S probably better
GGUF i1-Q3_K_L 18.2 IQ3_M probably better
GGUF i1-IQ4_XS 18.8
GGUF i1-Q4_0 19.9 fast, low quality
GGUF i1-Q4_K_S 20.0 optimal size/speed/quality
GGUF i1-Q4_K_M 21.3 fast, recommended
GGUF i1-Q4_1 21.9
GGUF i1-Q5_K_S 24.1
GGUF i1-Q5_K_M 24.8
GGUF i1-Q6_K 28.6 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 7 versions

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

  1. 2026-09-08auto-patch README.md19388186.5 KB
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  2. 2026-04-19auto-patch README.md7fb226c6.5 KB
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  3. 2026-04-18auto-patch README.md929cf976.3 KB
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  4. 2026-04-18auto-patch README.md21f6a1c5.2 KB
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  5. 2026-04-18auto-patch README.mdf01113b4.2 KB
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  6. 2026-04-18auto-patch README.mdf438c0d3 KB
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  7. 2026-04-18uploaded from nico11b56433484 B
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