← back to catalog · registered 2026-10-28 09:01

mradermacher/Ostrich-27B-261028-Qwen3.8-Abliterated-GGUF

mradermacher 27B GGUF second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FOstrich-27B-261028-Qwen3.8-Abliterated-GGUF"
Response includes
  • classification m8
  • files 12
  • author_summary 3415 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='etemiz/Ostrich-27B-261028-Qwen3.8-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 · 30-day
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Likes
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Model age
today
created 2026-10-28

Genealogy 0 direct forks

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Variants by this author 2 formats · 0 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
Q2_K Q3_K Q4_K Q6_K Q8_0
Tags
transformers gguf #health #nutrition #medicinalherbs #fasting #faith #healing #bitcoin #nostr aha beneficial

Related

Total size
126 GB
Files
12
Quantizations
7
Registered
2026-10-28 09:01
Last updated on HF
2026-10-28 10:07

Files by quantization

Q8_0 2 files 27.6 GB
Ostrich-27B-261028-Qwen3.8-Abliterated.Q8_0.gguf 27.1 GB fa4b30c8 download
Ostrich-27B-261028-Qwen3.8-Abliterated.mmproj-Q8_0.gguf 600 MB 484511bb download
Q6_K 1 file 20.9 GB
Ostrich-27B-261028-Qwen3.8-Abliterated.Q6_K.gguf 20.9 GB 0441a542 download
Q4_K 2 files 30.4 GB
Ostrich-27B-261028-Qwen3.8-Abliterated.Q4_K_M.gguf 15.7 GB d61f938b download
Ostrich-27B-261028-Qwen3.8-Abliterated.Q4_K_S.gguf 14.7 GB 662462c1 download
Q3_K 3 files 37.5 GB
Ostrich-27B-261028-Qwen3.8-Abliterated.Q3_K_L.gguf 13.6 GB a835d19e download
Ostrich-27B-261028-Qwen3.8-Abliterated.Q3_K_M.gguf 12.6 GB 48187600 download
Ostrich-27B-261028-Qwen3.8-Abliterated.Q3_K_S.gguf 11.4 GB 170e828f download
Q2_K 1 file 10.1 GB
Ostrich-27B-261028-Qwen3.8-Abliterated.Q2_K.gguf 10.1 GB b8e1a98f download
F16 1 file 885 MB
Ostrich-27B-261028-Qwen3.8-Abliterated.mmproj-f16.gguf 885 MB 2c2c5a82 download
Auxiliary files 2 files 6.18 KB
README.md 3.84 KB 453b47a3 download
.gitattributes 2.34 KB 77c71bab download

README current version from Hugging Face


base_model: etemiz/Ostrich-27B-261028-Qwen3.8-Abliterated
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • '#health'
  • '#nutrition'
  • '#medicinalherbs'
  • '#fasting'
  • '#faith'
  • '#healing'
  • '#bitcoin'
  • '#nostr'
  • aha
  • beneficial
  • based
  • aligned
  • abliterated
  • uncensored

About

static quants of https://huggingface.co/etemiz/Ostrich-27B-261028-Qwen3.8-Abliterated

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 mmproj-Q8_0 0.7 multi-modal supplement
GGUF mmproj-f16 1.0 multi-modal supplement
GGUF Q2_K 11.0
GGUF Q3_K_S 12.4
GGUF Q3_K_M 13.6 lower quality
GGUF Q3_K_L 14.7
GGUF Q4_K_S 15.9 fast, recommended
GGUF Q6_K 22.5 very good quality
GGUF Q8_0 29.1 fast, best quality

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.

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