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mradermacher/Ostrich-27B-Qwen3.8-260816-Abliterated-GGUF

mradermacher Qwen 27B GGUF second-order 262K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
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Response includes
  • classification m8
  • files 13
  • hub_downloads_all_time 1,107
  • 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='etemiz/Ostrich-27B-Qwen3.8-260816-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.

What is a refusal direction? →
Downloads · lifetime
1K
350 last 30d - stable
Likes
0
Model age
7w ago
created 2026-08-18
Downloads over time
Now1.2K→from434↑177%
3966909841.3K434 on Aug 191.2K on Oct 11AugSepOct
Aug 19 → Oct 11 · 48 snapshots · spans 53 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
IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf #health #nutrition #medicinalherbs #fasting #faith #healing #bitcoin #nostr aha beneficial

Related

Total size
176 GB
Files
13
Quantizations
8
Registered
2026-08-22 13:56
Last updated on HF
2026-08-18 05:53

Files by quantization

Q8_0 1 file 27.1 GB
Ostrich-27B-Qwen3.8-260816-Abliterated.Q8_0.gguf 27.1 GB 08c4307f download
Q6_K 1 file 20.9 GB
Ostrich-27B-Qwen3.8-260816-Abliterated.Q6_K.gguf 20.9 GB 7c10ee33 download
Q5_K 2 files 35.9 GB
Ostrich-27B-Qwen3.8-260816-Abliterated.Q5_K_M.gguf 18.2 GB 0d321641 download
Ostrich-27B-Qwen3.8-260816-Abliterated.Q5_K_S.gguf 17.7 GB 33071772 download
Q4_K 2 files 30.4 GB
Ostrich-27B-Qwen3.8-260816-Abliterated.Q4_K_M.gguf 15.7 GB 45ac22f7 download
Ostrich-27B-Qwen3.8-260816-Abliterated.Q4_K_S.gguf 14.7 GB e071e372 download
IQ4 1 file 14.4 GB
Ostrich-27B-Qwen3.8-260816-Abliterated.IQ4_XS.gguf 14.4 GB 451bdd58 download
Q3_K 3 files 37.5 GB
Ostrich-27B-Qwen3.8-260816-Abliterated.Q3_K_L.gguf 13.6 GB 0b73c1f2 download
Ostrich-27B-Qwen3.8-260816-Abliterated.Q3_K_M.gguf 12.6 GB 3df3a345 download
Ostrich-27B-Qwen3.8-260816-Abliterated.Q3_K_S.gguf 11.4 GB a1b39bb3 download
Q2_K 1 file 10.1 GB
Ostrich-27B-Qwen3.8-260816-Abliterated.Q2_K.gguf 10.1 GB 26c60d47 download
Auxiliary files 2 files 6.45 KB
README.md 4.04 KB 836d7c9d download
.gitattributes 2.41 KB 4e24fea3 download

README current version from Hugging Face


base_model: etemiz/Ostrich-27B-Qwen3.8-260816-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-Qwen3.8-260816-Abliterated

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Ostrich-27B-Qwen3.8-260816-Abliterated-i1-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 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 IQ4_XS 15.5
GGUF Q4_K_S 15.9 fast, recommended
GGUF Q4_K_M 16.9 fast, recommended
GGUF Q5_K_S 19.1
GGUF Q5_K_M 19.6
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.

README history 3 versions

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

  1. 2026-08-18auto-patch README.mda164b084 KB
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  2. 2026-08-18auto-patch README.md9e950d13.9 KB
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  3. 2026-08-18uploaded from nico15fb4025389 B
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