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mradermacher/Qwen3.5-122B-A10B-abliterated-i1-GGUF

mradermacher Qwen 122B GGUF MoE second-order 262K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 35,715
  • 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='Chompa1422/Qwen3.5-122B-A10B-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
36K
2K last 30d - cooling
Likes
2
Model age
7mo ago
created 2026-03-03
Downloads over time
Now36.6K→from18.3K↑100%
17.4K24.4K31.4K38.5K18.3K on Mar 436.6K on Oct 12MarAprMayJunJulAugSepOct
Mar 4 → Oct 12 · 72 snapshots · spans 222 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 · 3K 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
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored pentest qwen3.5 moe en base_model:Chompa1422/Qwen3.5-122B-A10B-abliterated base_model:quantized:Chompa1422/Qwen3.5-122B-A10B-abliterated license:apache-2.0 endpoints_compatible

Related

Total size
1.17 TB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-03-04 17:13

Files by quantization

Q6_K 1 file 93.4 GB
Qwen3.5-122B-A10B-abliterated.i1-Q6_K.gguf 93.4 GB b363a3e8 download
Q5_K 2 files 159 GB
Qwen3.5-122B-A10B-abliterated.i1-Q5_K_M.gguf 81.0 GB faae9864 download
Qwen3.5-122B-A10B-abliterated.i1-Q5_K_S.gguf 78.4 GB 39d7d5c4 download
Q4 2 files 136 GB
Qwen3.5-122B-A10B-abliterated.i1-Q4_1.gguf 71.4 GB 0abf3486 download
Qwen3.5-122B-A10B-abliterated.i1-Q4_0.gguf 64.6 GB d1f4684d download
Q4_K 2 files 134 GB
Qwen3.5-122B-A10B-abliterated.i1-Q4_K_M.gguf 69.1 GB 178f12ab download
Qwen3.5-122B-A10B-abliterated.i1-Q4_K_S.gguf 64.9 GB a68b0200 download
IQ4 1 file 60.8 GB
Qwen3.5-122B-A10B-abliterated.i1-IQ4_XS.gguf 60.8 GB 90928856 download
Q3_K 3 files 163 GB
Qwen3.5-122B-A10B-abliterated.i1-Q3_K_L.gguf 58.8 GB ac620843 download
Qwen3.5-122B-A10B-abliterated.i1-Q3_K_M.gguf 54.6 GB 9e4ff36c download
Qwen3.5-122B-A10B-abliterated.i1-Q3_K_S.gguf 49.3 GB 31686bd0 download
IQ3 4 files 190 GB
Qwen3.5-122B-A10B-abliterated.i1-IQ3_M.gguf 50.1 GB 36b56093 download
Qwen3.5-122B-A10B-abliterated.i1-IQ3_S.gguf 49.3 GB a4ed8eb0 download
Qwen3.5-122B-A10B-abliterated.i1-IQ3_XS.gguf 46.7 GB 7e0f6e2b download
Qwen3.5-122B-A10B-abliterated.i1-IQ3_XXS.gguf 43.9 GB 0a6c507b download
Q2_K 2 files 80.4 GB
Qwen3.5-122B-A10B-abliterated.i1-Q2_K.gguf 41.5 GB 3c3e20a8 download
Qwen3.5-122B-A10B-abliterated.i1-Q2_K_S.gguf 38.9 GB e501ba4c download
IQ2 4 files 134 GB
Qwen3.5-122B-A10B-abliterated.i1-IQ2_M.gguf 37.2 GB 6db99a4f download
Qwen3.5-122B-A10B-abliterated.i1-IQ2_S.gguf 33.8 GB 53127f6f download
Qwen3.5-122B-A10B-abliterated.i1-IQ2_XS.gguf 33.4 GB fe5f91eb download
Qwen3.5-122B-A10B-abliterated.i1-IQ2_XXS.gguf 30.0 GB 36837153 download
IQ1 2 files 48.8 GB
Qwen3.5-122B-A10B-abliterated.i1-IQ1_M.gguf 25.7 GB 02a8771f download
Qwen3.5-122B-A10B-abliterated.i1-IQ1_S.gguf 23.1 GB 2d0c1fc1 download
Auxiliary files 3 files 342 MB
Qwen3.5-122B-A10B-abliterated.imatrix.gguf 342 MB 2c1dd807 download
README.md 6.56 KB 20a036cb download
.gitattributes 3.37 KB 410c5a9d download

README current version from Hugging Face


base_model: Chompa1422/Qwen3.5-122B-A10B-abliterated
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored
  • pentest
  • qwen3.5
  • moe

About

weighted/imatrix quants of https://huggingface.co/Chompa1422/Qwen3.5-122B-A10B-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Qwen3.5-122B-A10B-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 0.5 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 24.9 for the desperate
GGUF i1-IQ1_M 27.7 mostly desperate
GGUF i1-IQ2_XXS 32.3
GGUF i1-IQ2_XS 36.0
GGUF i1-IQ2_S 36.4
GGUF i1-IQ2_M 40.0
GGUF i1-Q2_K_S 41.8 very low quality
GGUF i1-Q2_K 44.7 IQ3_XXS probably better
GGUF i1-IQ3_XXS 47.2 lower quality
GGUF i1-IQ3_XS 50.3
GGUF i1-Q3_K_S 53.0 IQ3_XS probably better
GGUF i1-IQ3_S 53.0 beats Q3_K*
GGUF i1-IQ3_M 53.9
GGUF i1-Q3_K_M 58.7 IQ3_S probably better
GGUF i1-Q3_K_L 63.3 IQ3_M probably better
GGUF i1-IQ4_XS 65.3
GGUF i1-Q4_0 69.4 fast, low quality
GGUF i1-Q4_K_S 69.7 optimal size/speed/quality
GGUF i1-Q4_K_M 74.3 fast, recommended
GGUF i1-Q4_1 76.7
GGUF i1-Q5_K_S 84.3
GGUF i1-Q5_K_M 87.1
GGUF i1-Q6_K 100.4 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 7 versions

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

  1. 2026-03-04auto-patch README.md099fb576.6 KB
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  2. 2026-03-04auto-patch README.md1e66c155.1 KB
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  3. 2026-03-04auto-patch README.mda2ec16e4.5 KB
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  4. 2026-03-04auto-patch README.md99f37804 KB
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  5. 2026-03-03auto-patch README.md97023df3.5 KB
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  6. 2026-03-03auto-patch README.mdbd208673 KB
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  7. 2026-03-03uploaded from nico1f73d8f2486 B
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