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mradermacher/Qwen3.6-27B-abliterated-v1-i1-GGUF

mradermacher 27B GGUF second-order 262K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FQwen3.6-27B-abliterated-v1-i1-GGUF"
Response includes
  • classification m8
  • files 19
  • hub_downloads_all_time 3,750
  • author_summary 3411 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='wangzhang/Qwen3.6-27B-abliterated-v1' (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
4K
1K last 30d - stable
Likes
0
Model age
8w ago
created 2026-08-30
Downloads over time
Now4.8K→from0↑0%
01.7K3.5K5.2K0 on Aug 304.8K on Oct 26AugSepOct
Aug 30 → Oct 26 · 58 snapshots · spans 57 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 zh
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored dense qwen3.6 hybrid-attention gated-deltanet vlm lora-search-merged-release abliterix en

Related

Total size
193 GB
Files
19
Quantizations
10
Registered
2026-08-30 14:03
Last updated on HF
2026-08-30 15:00

Files by quantization

Q6_K 1 file 20.6 GB
Qwen3.6-27B-abliterated-v1.i1-Q6_K.gguf 20.6 GB aad24bac download
Q5_K 1 file 17.4 GB
Qwen3.6-27B-abliterated-v1.i1-Q5_K_S.gguf 17.4 GB 9f67f3c9 download
Q4_K 2 files 29.9 GB
Qwen3.6-27B-abliterated-v1.i1-Q4_K_M.gguf 15.4 GB 74f70772 download
Qwen3.6-27B-abliterated-v1.i1-Q4_K_S.gguf 14.5 GB 45d033c1 download
IQ4 1 file 14.0 GB
Qwen3.6-27B-abliterated-v1.i1-IQ4_XS.gguf 14.0 GB 044d7b3e download
Q3_K 3 files 37.0 GB
Qwen3.6-27B-abliterated-v1.i1-Q3_K_L.gguf 13.4 GB 07db7fe0 download
Qwen3.6-27B-abliterated-v1.i1-Q3_K_M.gguf 12.4 GB 0ebda798 download
Qwen3.6-27B-abliterated-v1.i1-Q3_K_S.gguf 11.2 GB bd52b4a2 download
IQ3 2 files 22.1 GB
Qwen3.6-27B-abliterated-v1.i1-IQ3_M.gguf 11.7 GB 415c6a74 download
Qwen3.6-27B-abliterated-v1.i1-IQ3_XXS.gguf 10.4 GB b78335ae download
Q2_K 2 files 19.5 GB
Qwen3.6-27B-abliterated-v1.i1-Q2_K.gguf 9.98 GB 6ecbc25f download
Qwen3.6-27B-abliterated-v1.i1-Q2_K_S.gguf 9.54 GB 84944464 download
IQ2 3 files 25.6 GB
Qwen3.6-27B-abliterated-v1.i1-IQ2_M.gguf 9.32 GB 1e8d05f5 download
Qwen3.6-27B-abliterated-v1.i1-IQ2_XS.gguf 8.47 GB 9130d0e3 download
Qwen3.6-27B-abliterated-v1.i1-IQ2_XXS.gguf 7.85 GB b410e63e download
IQ1 1 file 7.11 GB
Qwen3.6-27B-abliterated-v1.i1-IQ1_M.gguf 7.11 GB 19f27dde download
Auxiliary files 3 files 13.0 MB
Qwen3.6-27B-abliterated-v1.imatrix.gguf 13.0 MB 13ac9118 download
.gitattributes 2.77 KB 25e2e479 download
README.md 2.69 KB d76d1f72 download

README current version from Hugging Face


base_model: wangzhang/Qwen3.6-27B-abliterated-v1
language:

  • en
  • zh
    library_name: transformers
    license: apache-2.0
    license_link: LICENSE
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored
  • dense
  • qwen3.6
  • hybrid-attention
  • gated-deltanet
  • vlm
  • lora-search-merged-release
  • abliterix

About

weighted/imatrix quants of https://huggingface.co/wangzhang/Qwen3.6-27B-abliterated-v1

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

static quants are available at https://huggingface.co/mradermacher/Qwen3.6-27B-abliterated-v1-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 4 versions

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

  1. 2026-08-30auto-patch README.mdd8893b26.5 KB
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  2. 2026-08-30auto-patch README.md179edec6.2 KB
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  3. 2026-08-30auto-patch README.mde044eb82.7 KB
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  4. 2026-08-30uploaded from rich185f01fa483 B
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