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mradermacher/SuperQwen3.8-27b-abliterated-i1-GGUF

mradermacher Qwen 27B GGUF multimodal second-order 262K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FSuperQwen3.8-27b-abliterated-i1-GGUF"
Response includes
  • classification m8
  • files 6
  • hub_downloads_all_time 4,954
  • 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='Jiunsong/SuperQwen3.8-27b-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
5K
979 last 30d - stable
Likes
2
Model age
6w ago
created 2026-08-24
Downloads over time
Now5.2K→from2.2K↑139%
2K3.2K4.3K5.5K2.2K on Aug 265.2K on Oct 11AugSepOct
Aug 26 → Oct 11 · 47 snapshots · spans 46 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 · 3K 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 ko
Quantizations
IQ3 Q2_K Q4_K
Tags
transformers gguf qwen3.8 qwen3.5 multimodal image-text-to-text reasoning tool-calling long-context 262k-context uncensored abliterated

Related

Total size
36.8 GB
Files
6
Quantizations
4
Registered
2026-08-24 15:02
Last updated on HF
2026-08-25 18:00

Files by quantization

Q4_K 1 file 14.7 GB
SuperQwen3.8-27b-abliterated.i1-Q4_K_S.gguf 14.7 GB 02b03e51 download
IQ3 1 file 11.9 GB
SuperQwen3.8-27b-abliterated.i1-IQ3_M.gguf 11.9 GB 56ea2ba8 download
Q2_K 1 file 10.1 GB
SuperQwen3.8-27b-abliterated.i1-Q2_K.gguf 10.1 GB b74884f4 download
Auxiliary files 3 files 13.0 MB
SuperQwen3.8-27b-abliterated.imatrix.gguf 13.0 MB 7cced7f9 download
README.md 2.74 KB a4f521ee download
.gitattributes 1.79 KB 9ec2a770 download

README current version from Hugging Face


base_model: Jiunsong/SuperQwen3.8-27b-abliterated
language:

  • en
  • ko
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • qwen3.8
  • qwen3.5
  • multimodal
  • image-text-to-text
  • reasoning
  • tool-calling
  • long-context
  • 1m-context
  • uncensored
  • abliterated
  • obliteratus
  • supertune
  • vllm
  • bf16
  • full-precision

About

weighted/imatrix quants of https://huggingface.co/Jiunsong/SuperQwen3.8-27b-abliterated

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

static quants are available at https://huggingface.co/mradermacher/SuperQwen3.8-27b-abliterated-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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)

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 8 versions

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

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  8. 2026-08-24uploaded from leia7f9d9fb483 B
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