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mradermacher/Qwen3-235B-A22B-abliterated-i1-GGUF

mradermacher Qwen 235B GGUF MoE second-order 41K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 36,752
  • 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='null-space/Qwen3-235B-A22B-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.

What is a refusal direction? →
Downloads · lifetime
37K
6K last 30d - stable
Likes
3
Model age
7mo ago
created 2026-03-15
Downloads over time
Now37.8K→from14K↑171%
12.8K21.9K31.1K40.2K14K on Mar 1837.8K on Oct 11MarAprMayJunJulAugSepOct
Mar 18 → Oct 11 · 69 snapshots · spans 207 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 · 8K 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 zh ja ko fr de es pt ru ar th vi
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored qwen3 moe ablation en zh ja ko fr

Related

Total size
2.25 TB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-03-19 13:04

Files by quantization

Q6_K 1 file 180 GB
Qwen3-235B-A22B-abliterated.i1-Q6_K.gguf 180 GB cfaea106 download
Q5_K 2 files 306 GB
Qwen3-235B-A22B-abliterated.i1-Q5_K_M.gguf 155 GB b1deffdf download
Qwen3-235B-A22B-abliterated.i1-Q5_K_S.gguf 151 GB 08fc9381 download
Q4 2 files 261 GB
Qwen3-235B-A22B-abliterated.i1-Q4_1.gguf 137 GB 0b5bca1a download
Qwen3-235B-A22B-abliterated.i1-Q4_0.gguf 124 GB a7cc708b download
Q4_K 2 files 257 GB
Qwen3-235B-A22B-abliterated.i1-Q4_K_M.gguf 132 GB 9881da2c download
Qwen3-235B-A22B-abliterated.i1-Q4_K_S.gguf 125 GB 33e4614c download
IQ4 1 file 117 GB
Qwen3-235B-A22B-abliterated.i1-IQ4_XS.gguf 117 GB 017e19b7 download
Q3_K 3 files 313 GB
Qwen3-235B-A22B-abliterated.i1-Q3_K_L.gguf 113 GB 4e9f5160 download
Qwen3-235B-A22B-abliterated.i1-Q3_K_M.gguf 105 GB d02aaf59 download
Qwen3-235B-A22B-abliterated.i1-Q3_K_S.gguf 94.5 GB 7a30f191 download
IQ3 4 files 364 GB
Qwen3-235B-A22B-abliterated.i1-IQ3_M.gguf 96.0 GB bedfedb8 download
Qwen3-235B-A22B-abliterated.i1-IQ3_S.gguf 94.5 GB 9caa4a89 download
Qwen3-235B-A22B-abliterated.i1-IQ3_XS.gguf 89.4 GB 13eb9169 download
Qwen3-235B-A22B-abliterated.i1-IQ3_XXS.gguf 84.2 GB f929125e download
Q2_K 2 files 154 GB
Qwen3-235B-A22B-abliterated.i1-Q2_K.gguf 79.8 GB 4ae4d46c download
Qwen3-235B-A22B-abliterated.i1-Q2_K_S.gguf 74.3 GB 581e9239 download
IQ2 4 files 259 GB
Qwen3-235B-A22B-abliterated.i1-IQ2_M.gguf 71.9 GB e0440a6f download
Qwen3-235B-A22B-abliterated.i1-IQ2_S.gguf 65.4 GB ac3fd055 download
Qwen3-235B-A22B-abliterated.i1-IQ2_XS.gguf 64.1 GB ea69edf2 download
Qwen3-235B-A22B-abliterated.i1-IQ2_XXS.gguf 57.6 GB 79b07f0f download
IQ1 2 files 94.1 GB
Qwen3-235B-A22B-abliterated.i1-IQ1_M.gguf 49.5 GB 7d271080 download
Qwen3-235B-A22B-abliterated.i1-IQ1_S.gguf 44.7 GB 89b17f39 download
Auxiliary files 3 files 456 MB
Qwen3-235B-A22B-abliterated.imatrix.gguf 456 MB 9516dca6 download
README.md 6.37 KB f3ce1f38 download
.gitattributes 3.32 KB cc74cee3 download

README current version from Hugging Face


base_model: null-space/Qwen3-235B-A22B-abliterated
language:

  • en
  • zh
  • ja
  • ko
  • fr
  • de
  • es
  • pt
  • ru
  • ar
  • th
  • vi
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored
  • qwen3
  • moe
  • ablation

About

weighted/imatrix quants of https://huggingface.co/null-space/Qwen3-235B-A22B-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Qwen3-235B-A22B-abliterated-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 imatrix 0.6 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 48.0 for the desperate
GGUF i1-IQ1_M 53.2 mostly desperate
GGUF i1-IQ2_XXS 61.9
GGUF i1-IQ2_XS 68.9
GGUF i1-IQ2_S 70.3
GGUF i1-IQ2_M 77.3
GGUF i1-Q2_K_S 79.9 very low quality
GGUF i1-Q2_K 85.8 IQ3_XXS probably better
GGUF i1-IQ3_XXS 90.5 lower quality
GGUF i1-IQ3_XS 96.1
GGUF i1-Q3_K_S 101.5 IQ3_XS probably better
GGUF i1-IQ3_S 101.6 beats Q3_K*
GGUF i1-IQ3_M 103.2
GGUF i1-Q3_K_M 112.5 IQ3_S probably better
GGUF i1-Q3_K_L 121.9 IQ3_M probably better
GGUF i1-IQ4_XS 125.4
GGUF i1-Q4_0 133.2 fast, low quality
GGUF i1-Q4_K_S 133.8 optimal size/speed/quality
GGUF i1-Q4_K_M 142.3 fast, recommended
GGUF i1-Q4_1 147.3
GGUF i1-Q5_K_S 162.0
GGUF i1-Q5_K_M 166.9
GGUF i1-Q6_K 193.1 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 13 versions

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

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  13. 2026-03-15uploaded from rich1b983210484 B
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