← back to catalog · registered 2026-08-22 13:56

mradermacher/Qwen3-Next-352E-Abliterated-Instruct-i1-GGUF

mradermacher Qwen GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 3,980
  • 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='blascotobasco/Qwen3-Next-352E-Abliterated-Instruct' (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
4K
609 last 30d - stable
Likes
0
Model age
8mo ago
created 2026-01-18
Downloads over time
Now4.3K→from2.9K↑47%
2.8K3.3K3.9K4.4K2.9K on Jan 214.3K on Oct 12JanMarMayJulSep
Jan 21 → Oct 12 · 78 snapshots · spans 264 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 · 851 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
mit
Languages
en zh
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored chat en zh base_model:blascotobasco/Qwen3-Next-352E-Abliterated-Instruct base_model:quantized:blascotobasco/Qwen3-Next-352E-Abliterated-Instruct license:mit endpoints_compatible region:us

Related

Total size
547 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-01-19 16:41

Files by quantization

Q6_K 1 file 42.5 GB
Qwen3-Next-352E-Abliterated-Instruct.i1-Q6_K.gguf 42.5 GB 02fad187 download
Q5_K 2 files 72.6 GB
Qwen3-Next-352E-Abliterated-Instruct.i1-Q5_K_M.gguf 36.9 GB 37b65f94 download
Qwen3-Next-352E-Abliterated-Instruct.i1-Q5_K_S.gguf 35.7 GB f347715d download
Q4 2 files 61.9 GB
Qwen3-Next-352E-Abliterated-Instruct.i1-Q4_1.gguf 32.5 GB 322c8739 download
Qwen3-Next-352E-Abliterated-Instruct.i1-Q4_0.gguf 29.4 GB 0305499a download
Q4_K 2 files 61.0 GB
Qwen3-Next-352E-Abliterated-Instruct.i1-Q4_K_M.gguf 31.5 GB 1c02599e download
Qwen3-Next-352E-Abliterated-Instruct.i1-Q4_K_S.gguf 29.5 GB 22675659 download
IQ4 1 file 27.7 GB
Qwen3-Next-352E-Abliterated-Instruct.i1-IQ4_XS.gguf 27.7 GB 73759bd5 download
Q3_K 3 files 74.1 GB
Qwen3-Next-352E-Abliterated-Instruct.i1-Q3_K_L.gguf 26.8 GB 5b8a3590 download
Qwen3-Next-352E-Abliterated-Instruct.i1-Q3_K_M.gguf 24.9 GB fe66c611 download
Qwen3-Next-352E-Abliterated-Instruct.i1-Q3_K_S.gguf 22.4 GB 1da37979 download
IQ3 4 files 86.5 GB
Qwen3-Next-352E-Abliterated-Instruct.i1-IQ3_M.gguf 22.8 GB ee507152 download
Qwen3-Next-352E-Abliterated-Instruct.i1-IQ3_S.gguf 22.4 GB 83be7af0 download
Qwen3-Next-352E-Abliterated-Instruct.i1-IQ3_XS.gguf 21.3 GB 5c7a83e9 download
Qwen3-Next-352E-Abliterated-Instruct.i1-IQ3_XXS.gguf 20.0 GB 2e0f609b download
Q2_K 2 files 36.6 GB
Qwen3-Next-352E-Abliterated-Instruct.i1-Q2_K.gguf 18.9 GB 9cebe237 download
Qwen3-Next-352E-Abliterated-Instruct.i1-Q2_K_S.gguf 17.7 GB b1ba90ae download
IQ2 4 files 61.3 GB
Qwen3-Next-352E-Abliterated-Instruct.i1-IQ2_M.gguf 16.9 GB 1c13407d download
Qwen3-Next-352E-Abliterated-Instruct.i1-IQ2_S.gguf 15.4 GB a8a8dfa5 download
Qwen3-Next-352E-Abliterated-Instruct.i1-IQ2_XS.gguf 15.2 GB 79c2331d download
Qwen3-Next-352E-Abliterated-Instruct.i1-IQ2_XXS.gguf 13.7 GB de7aa4ee download
IQ1 2 files 22.3 GB
Qwen3-Next-352E-Abliterated-Instruct.i1-IQ1_M.gguf 11.7 GB ecf769e2 download
Qwen3-Next-352E-Abliterated-Instruct.i1-IQ1_S.gguf 10.6 GB 027816f0 download
Auxiliary files 3 files 301 MB
Qwen3-Next-352E-Abliterated-Instruct.imatrix.gguf 301 MB a3ae3bd9 download
README.md 6.75 KB 6454c121 download
.gitattributes 3.53 KB e784de84 download

README current version from Hugging Face


base_model: blascotobasco/Qwen3-Next-352E-Abliterated-Instruct
language:

  • en
  • zh
    library_name: transformers
    license: mit
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored
  • chat

About

weighted/imatrix quants of https://huggingface.co/blascotobasco/Qwen3-Next-352E-Abliterated-Instruct

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

static quants are available at https://huggingface.co/mradermacher/Qwen3-Next-352E-Abliterated-Instruct-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 0.4 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 11.4 for the desperate
GGUF i1-IQ1_M 12.7 mostly desperate
GGUF i1-IQ2_XXS 14.8
GGUF i1-IQ2_XS 16.5
GGUF i1-IQ2_S 16.6
GGUF i1-IQ2_M 18.3
GGUF i1-Q2_K_S 19.1 very low quality
GGUF i1-Q2_K 20.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 21.6 lower quality
GGUF i1-IQ3_XS 22.9
GGUF i1-Q3_K_S 24.2 IQ3_XS probably better
GGUF i1-IQ3_S 24.2 beats Q3_K*
GGUF i1-IQ3_M 24.6
GGUF i1-Q3_K_M 26.8 IQ3_S probably better
GGUF i1-Q3_K_L 28.9 IQ3_M probably better
GGUF i1-IQ4_XS 29.8
GGUF i1-Q4_0 31.7 fast, low quality
GGUF i1-Q4_K_S 31.8 optimal size/speed/quality
GGUF i1-Q4_K_M 33.9 fast, recommended
GGUF i1-Q4_1 35.0
GGUF i1-Q5_K_S 38.4
GGUF i1-Q5_K_M 39.7
GGUF i1-Q6_K 45.7 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 9 versions

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

  1. 2026-01-19auto-patch README.md94762816.7 KB
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  6. 2026-01-19auto-patch README.mdefedb233.6 KB
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  7. 2026-01-19auto-patch README.md4c5d0572.9 KB
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  8. 2026-01-18auto-patch README.mdc1bbdac2.7 KB
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  9. 2026-01-18uploaded from marcod762ca0496 B
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