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mradermacher/GPT-OSS-20E-Abliterated-i1-GGUF

mradermacher Gpt-oss GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 28
  • hub_downloads_all_time 6,837
  • 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='blascotobasco/GPT-OSS-20E-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
7K
839 last 30d - stable
Likes
1
Model age
7mo ago
created 2026-02-18
Downloads over time
Now7K→from5.1K↑37%
5K5.7K6.4K7.2K5.1K on Feb 187K on Oct 11FebAprJunAugOct
Feb 18 → Oct 11 · 73 snapshots · spans 235 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 · 1K 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 vllm generated_from_trainer trl sft abliterated uncensored en base_model:blascotobasco/GPT-OSS-20E-Abliterated base_model:quantized:blascotobasco/GPT-OSS-20E-Abliterated license:apache-2.0

Related

Total size
204 GB
Files
28
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-02-18 15:20

Files by quantization

Q6_K 1 file 13.6 GB
GPT-OSS-20E-Abliterated.i1-Q6_K.gguf 13.6 GB 49322053 download
Q5_K 2 files 20.2 GB
GPT-OSS-20E-Abliterated.i1-Q5_K_M.gguf 10.4 GB 3cb5b698 download
GPT-OSS-20E-Abliterated.i1-Q5_K_S.gguf 9.78 GB 0fc66a21 download
Q4_K 2 files 18.7 GB
GPT-OSS-20E-Abliterated.i1-Q4_K_M.gguf 9.70 GB b29f08c2 download
GPT-OSS-20E-Abliterated.i1-Q4_K_S.gguf 9.03 GB d26bd1b6 download
Q4 2 files 15.8 GB
GPT-OSS-20E-Abliterated.i1-Q4_1.gguf 8.27 GB 863c967b download
GPT-OSS-20E-Abliterated.i1-Q4_0.gguf 7.53 GB c9b5eafe download
Q3_K 3 files 23.7 GB
GPT-OSS-20E-Abliterated.i1-Q3_K_L.gguf 8.24 GB b62b1e04 download
GPT-OSS-20E-Abliterated.i1-Q3_K_M.gguf 7.98 GB 9ffb4122 download
GPT-OSS-20E-Abliterated.i1-Q3_K_S.gguf 7.47 GB 20d21aef download
IQ3 4 files 30.0 GB
GPT-OSS-20E-Abliterated.i1-IQ3_M.gguf 7.56 GB f53e04f0 download
GPT-OSS-20E-Abliterated.i1-IQ3_S.gguf 7.47 GB a10e5962 download
GPT-OSS-20E-Abliterated.i1-IQ3_XS.gguf 7.47 GB faab98ce download
GPT-OSS-20E-Abliterated.i1-IQ3_XXS.gguf 7.47 GB 6ee81e54 download
IQ4 2 files 15.0 GB
GPT-OSS-20E-Abliterated.i1-IQ4_NL.gguf 7.51 GB 9e0d1ced download
GPT-OSS-20E-Abliterated.i1-IQ4_XS.gguf 7.50 GB 11eceff5 download
Q2_K 2 files 15.0 GB
GPT-OSS-20E-Abliterated.i1-Q2_K_S.gguf 7.50 GB c520789e download
GPT-OSS-20E-Abliterated.i1-Q2_K.gguf 7.47 GB 75e937db download
IQ2 4 files 29.8 GB
GPT-OSS-20E-Abliterated.i1-IQ2_M.gguf 7.47 GB b30b1b82 download
GPT-OSS-20E-Abliterated.i1-IQ2_S.gguf 7.47 GB 130a91d3 download
GPT-OSS-20E-Abliterated.i1-IQ2_XS.gguf 7.43 GB f7c8d05d download
GPT-OSS-20E-Abliterated.i1-IQ2_XXS.gguf 7.42 GB 9ed17294 download
IQ1 2 files 14.8 GB
GPT-OSS-20E-Abliterated.i1-IQ1_M.gguf 7.42 GB be5ae117 download
GPT-OSS-20E-Abliterated.i1-IQ1_S.gguf 7.42 GB 4f3d387a download
Auxiliary files 4 files 7.74 GB
GPT-OSS-20E-Abliterated.i1-MXFP4_MOE.gguf 7.72 GB 40514de5 download
GPT-OSS-20E-Abliterated.imatrix.gguf 17.3 MB dafa614f download
README.md 6.28 KB 7529e1e2 download
.gitattributes 3.38 KB 87d4215d download

README current version from Hugging Face


base_model: blascotobasco/GPT-OSS-20E-Abliterated
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • vllm
  • generated_from_trainer
  • trl
  • sft
  • abliterated
  • uncensored

About

weighted/imatrix quants of https://huggingface.co/blascotobasco/GPT-OSS-20E-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-20E-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 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_M 8.1 mostly desperate
GGUF i1-IQ1_S 8.1 for the desperate
GGUF i1-IQ2_XXS 8.1
GGUF i1-IQ2_XS 8.1
GGUF i1-Q3_K_S 8.1 IQ3_XS probably better
GGUF i1-IQ2_M 8.1
GGUF i1-IQ2_S 8.1
GGUF i1-IQ3_S 8.1 beats Q3_K*
GGUF i1-IQ3_XS 8.1
GGUF i1-IQ3_XXS 8.1 lower quality
GGUF i1-Q2_K 8.1 IQ3_XXS probably better
GGUF i1-IQ4_XS 8.2
GGUF i1-Q2_K_S 8.2 very low quality
GGUF i1-IQ4_NL 8.2 prefer IQ4_XS
GGUF i1-Q4_0 8.2 fast, low quality
GGUF i1-IQ3_M 8.2
GGUF i1-Q3_K_M 8.7 IQ3_S probably better
GGUF i1-Q3_K_L 8.9 IQ3_M probably better
GGUF i1-Q4_1 9.0
GGUF i1-Q4_K_S 9.8 optimal size/speed/quality
GGUF i1-Q4_K_M 10.5 fast, recommended
GGUF i1-Q5_K_S 10.6
GGUF i1-Q5_K_M 11.2
GGUF i1-Q6_K 14.7 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 5 versions

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

  1. 2026-02-18auto-patch README.md4f33d386.3 KB
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  2. 2026-02-18auto-patch README.md35573da5.5 KB
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  3. 2026-02-18auto-patch README.md1471be52.9 KB
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  4. 2026-02-18auto-patch README.mdb277b472.5 KB
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  5. 2026-02-18uploaded from rich19a60443492 B
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