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mradermacher/gpt-oss-120b-abliterated-i1-GGUF

mradermacher Gpt-oss 120B GGUF MoE second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 89,341
  • 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/gpt-oss-120b-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
89K
9K last 30d - cooling
Likes
11
Model age
5mo ago
created 2026-04-23
Downloads over time
Now91.8K→from43.8K↑110%
41.4K59.8K78.2K96.6K43.8K on Apr 2291.8K on Oct 11AprMayJunJulAugSepOct
Apr 22 → Oct 11 · 64 snapshots · spans 172 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 · 12K 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
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored moe gpt-oss mxfp4 direct-steering ega moe-router-suppression vllm-in-place-editing abliterix

Related

Total size
1.59 TB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-09-14 10:53

Files by quantization

Q6_K 1 file 116 GB
gpt-oss-120b-abliterated.i1-Q6_K.gguf 116 GB c5bedd7a download
Q5_K 2 files 169 GB
gpt-oss-120b-abliterated.i1-Q5_K_M.gguf 87.5 GB 4c8a2b8d download
gpt-oss-120b-abliterated.i1-Q5_K_S.gguf 81.9 GB 6abed2d5 download
Q4_K 2 files 157 GB
gpt-oss-120b-abliterated.i1-Q4_K_M.gguf 81.8 GB bd8dd0c9 download
gpt-oss-120b-abliterated.i1-Q4_K_S.gguf 75.4 GB 47d373ff download
Q4 2 files 130 GB
gpt-oss-120b-abliterated.i1-Q4_1.gguf 68.4 GB 5f16326b download
gpt-oss-120b-abliterated.i1-Q4_0.gguf 61.9 GB ab0dc266 download
Q3_K 3 files 196 GB
gpt-oss-120b-abliterated.i1-Q3_K_L.gguf 68.4 GB 45e57b76 download
gpt-oss-120b-abliterated.i1-Q3_K_M.gguf 66.2 GB 5f5b1fd7 download
gpt-oss-120b-abliterated.i1-Q3_K_S.gguf 61.6 GB b7022831 download
IQ3 4 files 247 GB
gpt-oss-120b-abliterated.i1-IQ3_M.gguf 62.2 GB 1e74860a download
gpt-oss-120b-abliterated.i1-IQ3_S.gguf 61.6 GB 65204eab download
gpt-oss-120b-abliterated.i1-IQ3_XS.gguf 61.6 GB 0ba4fb64 download
gpt-oss-120b-abliterated.i1-IQ3_XXS.gguf 61.6 GB 92f8f67d download
Q2_K 2 files 124 GB
gpt-oss-120b-abliterated.i1-Q2_K_S.gguf 62.1 GB 96befc29 download
gpt-oss-120b-abliterated.i1-Q2_K.gguf 61.6 GB 13929d49 download
IQ4 1 file 61.7 GB
gpt-oss-120b-abliterated.i1-IQ4_XS.gguf 61.7 GB 715455da download
IQ2 4 files 246 GB
gpt-oss-120b-abliterated.i1-IQ2_M.gguf 61.6 GB 8f624d34 download
gpt-oss-120b-abliterated.i1-IQ2_S.gguf 61.6 GB 22e7683f download
gpt-oss-120b-abliterated.i1-IQ2_XS.gguf 61.6 GB 47845192 download
gpt-oss-120b-abliterated.i1-IQ2_XXS.gguf 61.5 GB 00f596a0 download
IQ1 2 files 123 GB
gpt-oss-120b-abliterated.i1-IQ1_M.gguf 61.5 GB 981298c2 download
gpt-oss-120b-abliterated.i1-IQ1_S.gguf 61.5 GB 33041a8a download
Auxiliary files 4 files 59.2 GB
gpt-oss-120b-abliterated.i1-MXFP4_MOE.gguf 59.0 GB 9dc37877 download
gpt-oss-120b-abliterated.imatrix.gguf 154 MB 8f9a8569 download
README.md 6.24 KB 09b1b8a9 download
.gitattributes 3.33 KB 294d81a9 download

README current version from Hugging Face


base_model: wangzhang/gpt-oss-120b-abliterated
language:

  • en
  • zh
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored
  • moe
  • gpt-oss
  • mxfp4
  • direct-steering
  • ega
  • moe-router-suppression
  • vllm-in-place-editing
  • abliterix

About

weighted/imatrix quants of https://huggingface.co/wangzhang/gpt-oss-120b-abliterated

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

static quants are available at https://huggingface.co/mradermacher/gpt-oss-120b-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 0.3 imatrix file (for creating your own quants)
GGUF i1-IQ1_M 66.2 mostly desperate
GGUF i1-IQ1_S 66.2 for the desperate
GGUF i1-IQ2_XXS 66.2
GGUF i1-IQ2_XS 66.2
GGUF i1-Q3_K_S 66.2 IQ3_XS probably better
GGUF i1-IQ2_M 66.3
GGUF i1-IQ2_S 66.3
GGUF i1-IQ3_S 66.3 beats Q3_K*
GGUF i1-IQ3_XS 66.3
GGUF i1-IQ3_XXS 66.3 lower quality
GGUF i1-Q2_K 66.3 IQ3_XXS probably better
GGUF i1-IQ4_XS 66.3
GGUF i1-Q4_0 66.6 fast, low quality
GGUF i1-Q2_K_S 66.7 very low quality
GGUF i1-IQ3_M 66.8
GGUF i1-Q3_K_M 71.2 IQ3_S probably better
GGUF i1-Q3_K_L 73.5 IQ3_M probably better
GGUF i1-Q4_1 73.6
GGUF i1-Q4_K_S 81.0 optimal size/speed/quality
GGUF i1-Q4_K_M 88.0 fast, recommended
GGUF i1-Q5_K_S 88.1
GGUF i1-Q5_K_M 94.0
GGUF i1-Q6_K 124.3 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 19 versions

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

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