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mradermacher/GPT-OSS-26E-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 12,249
  • author_summary 3328 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-26E-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
12K
958 last 30d - cooling
Likes
0
Model age
7mo ago
created 2026-02-18
Downloads over time
Now12.3K→from9.4K↑32%
9.2K10.4K11.5K12.6K9.4K on Feb 1812.3K on Oct 12FebAprJunAugOct
Feb 18 → Oct 12 · 74 snapshots · spans 236 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-26E-Abliterated base_model:quantized:blascotobasco/GPT-OSS-26E-Abliterated license:apache-2.0

Related

Total size
256 GB
Files
28
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-02-18 14:40

Files by quantization

Q6_K 1 file 17.1 GB
GPT-OSS-26E-Abliterated.i1-Q6_K.gguf 17.1 GB d6656743 download
Q5_K 2 files 25.3 GB
GPT-OSS-26E-Abliterated.i1-Q5_K_M.gguf 13.1 GB dbfae49e download
GPT-OSS-26E-Abliterated.i1-Q5_K_S.gguf 12.3 GB fe822271 download
Q4_K 2 files 23.5 GB
GPT-OSS-26E-Abliterated.i1-Q4_K_M.gguf 12.2 GB fb8a712c download
GPT-OSS-26E-Abliterated.i1-Q4_K_S.gguf 11.3 GB d9674348 download
Q4 2 files 19.8 GB
GPT-OSS-26E-Abliterated.i1-Q4_1.gguf 10.4 GB ca2064ae download
GPT-OSS-26E-Abliterated.i1-Q4_0.gguf 9.42 GB 49522d5c download
Q3_K 3 files 29.7 GB
GPT-OSS-26E-Abliterated.i1-Q3_K_L.gguf 10.3 GB a44f1eed download
GPT-OSS-26E-Abliterated.i1-Q3_K_M.gguf 10.0 GB 3e68847e download
GPT-OSS-26E-Abliterated.i1-Q3_K_S.gguf 9.35 GB dbbdb6c8 download
IQ3 4 files 37.5 GB
GPT-OSS-26E-Abliterated.i1-IQ3_M.gguf 9.46 GB f579556d download
GPT-OSS-26E-Abliterated.i1-IQ3_S.gguf 9.35 GB 56412fe2 download
GPT-OSS-26E-Abliterated.i1-IQ3_XS.gguf 9.35 GB 6ba1d52b download
GPT-OSS-26E-Abliterated.i1-IQ3_XXS.gguf 9.35 GB d733ba9a download
Q2_K 2 files 18.8 GB
GPT-OSS-26E-Abliterated.i1-Q2_K_S.gguf 9.40 GB 46185c94 download
GPT-OSS-26E-Abliterated.i1-Q2_K.gguf 9.35 GB 3b6baa1c download
IQ4 2 files 18.8 GB
GPT-OSS-26E-Abliterated.i1-IQ4_NL.gguf 9.39 GB edb90912 download
GPT-OSS-26E-Abliterated.i1-IQ4_XS.gguf 9.38 GB 05a23480 download
IQ2 4 files 37.3 GB
GPT-OSS-26E-Abliterated.i1-IQ2_M.gguf 9.35 GB 2be745b0 download
GPT-OSS-26E-Abliterated.i1-IQ2_S.gguf 9.35 GB 468b0c2b download
GPT-OSS-26E-Abliterated.i1-IQ2_XS.gguf 9.32 GB e9b7514f download
GPT-OSS-26E-Abliterated.i1-IQ2_XXS.gguf 9.31 GB a76472a9 download
IQ1 2 files 18.6 GB
GPT-OSS-26E-Abliterated.i1-IQ1_M.gguf 9.31 GB 9a6500e3 download
GPT-OSS-26E-Abliterated.i1-IQ1_S.gguf 9.31 GB 1868d892 download
Auxiliary files 4 files 9.52 GB
GPT-OSS-26E-Abliterated.i1-MXFP4_MOE.gguf 9.50 GB 7dfd4cbb download
GPT-OSS-26E-Abliterated.imatrix.gguf 22.0 MB 6437d01c download
README.md 6.29 KB 8ffa5c32 download
.gitattributes 3.38 KB aff14d0f download

README current version from Hugging Face


base_model: blascotobasco/GPT-OSS-26E-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-26E-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-26E-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 10.1 mostly desperate
GGUF i1-IQ1_S 10.1 for the desperate
GGUF i1-IQ2_XXS 10.1
GGUF i1-IQ2_XS 10.1
GGUF i1-Q3_K_S 10.1 IQ3_XS probably better
GGUF i1-IQ2_M 10.1
GGUF i1-IQ2_S 10.1
GGUF i1-IQ3_S 10.1 beats Q3_K*
GGUF i1-IQ3_XS 10.1
GGUF i1-IQ3_XXS 10.1 lower quality
GGUF i1-Q2_K 10.1 IQ3_XXS probably better
GGUF i1-IQ4_XS 10.2
GGUF i1-IQ4_NL 10.2 prefer IQ4_XS
GGUF i1-Q2_K_S 10.2 very low quality
GGUF i1-Q4_0 10.2 fast, low quality
GGUF i1-IQ3_M 10.3
GGUF i1-Q3_K_M 10.8 IQ3_S probably better
GGUF i1-Q3_K_L 11.2 IQ3_M probably better
GGUF i1-Q4_1 11.2
GGUF i1-Q4_K_S 12.3 optimal size/speed/quality
GGUF i1-Q4_K_M 13.2 fast, recommended
GGUF i1-Q5_K_S 13.3
GGUF i1-Q5_K_M 14.1
GGUF i1-Q6_K 18.5 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 4 versions

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

  1. 2026-02-18auto-patch README.mdf300fe36.3 KB
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  2. 2026-02-18auto-patch README.md09b55563.9 KB
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  3. 2026-02-18auto-patch README.md2916b8e3.3 KB
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  4. 2026-02-18uploaded from rich1191596e492 B
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