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mradermacher/GPT-OSS-26B-abliterated-Preview-i1-GGUF

mradermacher Gpt-oss 26B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 13,342
  • 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='win10/GPT-OSS-26B-abliterated-Preview' (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
13K
2K last 30d - stable
Likes
1
Model age
14mo ago
created 2025-08-09
Downloads over time
Now13.6K→from5.4K↑154%
4.9K8.1K11.3K14.4K5.4K on Aug 13, 202513.6K on Oct 11Aug '25Oct '25Dec '25FebAprJunAugOct
Aug 13, 2025 → Oct 11 · 101 snapshots · spans 424 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 · 2K 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 unsloth abliterated mergekit gpt_oss en base_model:win10/GPT-OSS-26B-abliterated-Preview base_model:quantized:win10/GPT-OSS-26B-abliterated-Preview license:apache-2.0 endpoints_compatible

Related

Total size
351 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-01-01 02:07

Files by quantization

Q6_K 1 file 25.5 GB
GPT-OSS-26B-abliterated-Preview.i1-Q6_K.gguf 25.5 GB a8ee4d6e download
Q5_K 2 files 37.6 GB
GPT-OSS-26B-abliterated-Preview.i1-Q5_K_M.gguf 19.3 GB 3488ccda download
GPT-OSS-26B-abliterated-Preview.i1-Q5_K_S.gguf 18.3 GB ba3d3420 download
Q4_K 2 files 34.9 GB
GPT-OSS-26B-abliterated-Preview.i1-Q4_K_M.gguf 18.1 GB 29e0ae1b download
GPT-OSS-26B-abliterated-Preview.i1-Q4_K_S.gguf 16.8 GB 26d9fe2b download
Q4 2 files 29.2 GB
GPT-OSS-26B-abliterated-Preview.i1-Q4_1.gguf 15.3 GB ba9c96a5 download
GPT-OSS-26B-abliterated-Preview.i1-Q4_0.gguf 13.9 GB 57da89a0 download
Q3_K 3 files 43.9 GB
GPT-OSS-26B-abliterated-Preview.i1-Q3_K_L.gguf 15.3 GB 3a5b2a4e download
GPT-OSS-26B-abliterated-Preview.i1-Q3_K_M.gguf 14.8 GB 31b0a768 download
GPT-OSS-26B-abliterated-Preview.i1-Q3_K_S.gguf 13.8 GB 73f9b6ac download
IQ3 4 files 55.4 GB
GPT-OSS-26B-abliterated-Preview.i1-IQ3_M.gguf 14.0 GB ea484c7e download
GPT-OSS-26B-abliterated-Preview.i1-IQ3_S.gguf 13.8 GB 69cd29ea download
GPT-OSS-26B-abliterated-Preview.i1-IQ3_XS.gguf 13.8 GB 9e510511 download
GPT-OSS-26B-abliterated-Preview.i1-IQ3_XXS.gguf 13.8 GB 723b5937 download
Q2_K 2 files 27.7 GB
GPT-OSS-26B-abliterated-Preview.i1-Q2_K_S.gguf 13.9 GB e6a920fa download
GPT-OSS-26B-abliterated-Preview.i1-Q2_K.gguf 13.8 GB 57aee456 download
IQ4 1 file 13.9 GB
GPT-OSS-26B-abliterated-Preview.i1-IQ4_XS.gguf 13.9 GB fffdf2d6 download
IQ2 4 files 55.2 GB
GPT-OSS-26B-abliterated-Preview.i1-IQ2_M.gguf 13.8 GB 5b765da6 download
GPT-OSS-26B-abliterated-Preview.i1-IQ2_S.gguf 13.8 GB 69762a9b download
GPT-OSS-26B-abliterated-Preview.i1-IQ2_XS.gguf 13.8 GB b2275d1a download
GPT-OSS-26B-abliterated-Preview.i1-IQ2_XXS.gguf 13.8 GB c831eb80 download
IQ1 2 files 27.5 GB
GPT-OSS-26B-abliterated-Preview.i1-IQ1_M.gguf 13.8 GB 5d8e3bb3 download
GPT-OSS-26B-abliterated-Preview.i1-IQ1_S.gguf 13.8 GB d16d2093 download
Auxiliary files 3 files 33.5 MB
GPT-OSS-26B-abliterated-Preview.imatrix.gguf 33.5 MB 55b74342 download
README.md 6.49 KB 23239a24 download
.gitattributes 3.42 KB d31939ad download

README current version from Hugging Face


base_model: win10/GPT-OSS-26B-abliterated-Preview
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • vllm
  • unsloth
  • abliterated
  • mergekit
  • gpt_oss

About

weighted/imatrix quants of https://huggingface.co/win10/GPT-OSS-26B-abliterated-Preview

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-26B-abliterated-Preview-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 14.9 mostly desperate
GGUF i1-IQ1_S 14.9 for the desperate
GGUF i1-IQ2_XXS 14.9
GGUF i1-IQ2_XS 14.9
GGUF i1-Q3_K_S 14.9 IQ3_XS probably better
GGUF i1-IQ2_M 14.9
GGUF i1-IQ2_S 14.9
GGUF i1-IQ3_S 14.9 beats Q3_K*
GGUF i1-IQ3_XS 14.9
GGUF i1-IQ3_XXS 14.9 lower quality
GGUF i1-Q2_K 14.9 IQ3_XXS probably better
GGUF i1-IQ4_XS 15.0
GGUF i1-Q2_K_S 15.0 very low quality
GGUF i1-Q4_0 15.0 fast, low quality
GGUF i1-IQ3_M 15.1
GGUF i1-Q3_K_M 16.0 IQ3_S probably better
GGUF i1-Q3_K_L 16.5 IQ3_M probably better
GGUF i1-Q4_1 16.6
GGUF i1-Q4_K_S 18.1 optimal size/speed/quality
GGUF i1-Q4_K_M 19.5 fast, recommended
GGUF i1-Q5_K_S 19.7
GGUF i1-Q5_K_M 20.9
GGUF i1-Q6_K 27.5 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 3 versions

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

  1. 2026-01-01auto-patch README.mde360c696.5 KB
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  2. 2025-08-09auto-patch README.mdf8a081a6.5 KB
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  3. 2025-08-09uploaded from rich12b46939482 B
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