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

mradermacher/Qwen3-Next-256E-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 18,597
  • 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-256E-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
19K
1K last 30d - cooling
Likes
1
Model age
8mo ago
created 2026-01-17
Downloads over time
Now18.8K→from0↑0%
06.9K13.8K20.7K0 on Jan 1418.8K on Oct 11JanMarMayJulSep
Jan 14 → Oct 11 · 78 snapshots · spans 270 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 · 1K 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-256E-Abliterated-Instruct base_model:quantized:blascotobasco/Qwen3-Next-256E-Abliterated-Instruct license:mit endpoints_compatible region:us

Related

Total size
405 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-01-17 22:27

Files by quantization

Q6_K 1 file 31.4 GB
Qwen3-Next-256E-Abliterated-Instruct.i1-Q6_K.gguf 31.4 GB b7bf44b4 download
Q5_K 2 files 53.6 GB
Qwen3-Next-256E-Abliterated-Instruct.i1-Q5_K_M.gguf 27.2 GB 893c878f download
Qwen3-Next-256E-Abliterated-Instruct.i1-Q5_K_S.gguf 26.4 GB 291cc350 download
Q4 2 files 45.7 GB
Qwen3-Next-256E-Abliterated-Instruct.i1-Q4_1.gguf 24.0 GB 0477697b download
Qwen3-Next-256E-Abliterated-Instruct.i1-Q4_0.gguf 21.7 GB d848f5f0 download
Q4_K 2 files 45.1 GB
Qwen3-Next-256E-Abliterated-Instruct.i1-Q4_K_M.gguf 23.3 GB 3821082c download
Qwen3-Next-256E-Abliterated-Instruct.i1-Q4_K_S.gguf 21.8 GB 3dac9eef download
IQ4 1 file 20.5 GB
Qwen3-Next-256E-Abliterated-Instruct.i1-IQ4_XS.gguf 20.5 GB 8c52dd22 download
Q3_K 3 files 54.8 GB
Qwen3-Next-256E-Abliterated-Instruct.i1-Q3_K_L.gguf 19.8 GB d89e87b2 download
Qwen3-Next-256E-Abliterated-Instruct.i1-Q3_K_M.gguf 18.4 GB 2a445906 download
Qwen3-Next-256E-Abliterated-Instruct.i1-Q3_K_S.gguf 16.6 GB 72cdf119 download
IQ3 4 files 64.1 GB
Qwen3-Next-256E-Abliterated-Instruct.i1-IQ3_M.gguf 16.9 GB 57559839 download
Qwen3-Next-256E-Abliterated-Instruct.i1-IQ3_S.gguf 16.6 GB 01344ace download
Qwen3-Next-256E-Abliterated-Instruct.i1-IQ3_XS.gguf 15.8 GB 503fb93f download
Qwen3-Next-256E-Abliterated-Instruct.i1-IQ3_XXS.gguf 14.8 GB 70683cc1 download
Q2_K 2 files 27.1 GB
Qwen3-Next-256E-Abliterated-Instruct.i1-Q2_K.gguf 14.0 GB 0ed3f209 download
Qwen3-Next-256E-Abliterated-Instruct.i1-Q2_K_S.gguf 13.1 GB e3c1f8f5 download
IQ2 4 files 45.4 GB
Qwen3-Next-256E-Abliterated-Instruct.i1-IQ2_M.gguf 12.6 GB 71d311c3 download
Qwen3-Next-256E-Abliterated-Instruct.i1-IQ2_S.gguf 11.4 GB 2c5a4f87 download
Qwen3-Next-256E-Abliterated-Instruct.i1-IQ2_XS.gguf 11.3 GB 0490e05f download
Qwen3-Next-256E-Abliterated-Instruct.i1-IQ2_XXS.gguf 10.1 GB b69f4677 download
IQ1 2 files 16.6 GB
Qwen3-Next-256E-Abliterated-Instruct.i1-IQ1_M.gguf 8.71 GB be68aa7a download
Qwen3-Next-256E-Abliterated-Instruct.i1-IQ1_S.gguf 7.85 GB abc8138e download
Auxiliary files 3 files 220 MB
Qwen3-Next-256E-Abliterated-Instruct.imatrix.gguf 220 MB 5eaa06f9 download
README.md 6.74 KB dd332114 download
.gitattributes 3.53 KB da9cafa4 download

README current version from Hugging Face


base_model: blascotobasco/Qwen3-Next-256E-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-256E-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-256E-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 0.3 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 8.5 for the desperate
GGUF i1-IQ1_M 9.5 mostly desperate
GGUF i1-IQ2_XXS 11.0
GGUF i1-IQ2_XS 12.2
GGUF i1-IQ2_S 12.4
GGUF i1-IQ2_M 13.6
GGUF i1-Q2_K_S 14.2 very low quality
GGUF i1-Q2_K 15.1 IQ3_XXS probably better
GGUF i1-IQ3_XXS 16.0 lower quality
GGUF i1-IQ3_XS 17.0
GGUF i1-Q3_K_S 17.9 IQ3_XS probably better
GGUF i1-IQ3_S 17.9 beats Q3_K*
GGUF i1-IQ3_M 18.2
GGUF i1-Q3_K_M 19.9 IQ3_S probably better
GGUF i1-Q3_K_L 21.4 IQ3_M probably better
GGUF i1-IQ4_XS 22.1
GGUF i1-Q4_0 23.4 fast, low quality
GGUF i1-Q4_K_S 23.5 optimal size/speed/quality
GGUF i1-Q4_K_M 25.1 fast, recommended
GGUF i1-Q4_1 25.9
GGUF i1-Q5_K_S 28.4
GGUF i1-Q5_K_M 29.4
GGUF i1-Q6_K 33.8 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 11 versions

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

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  11. 2026-01-17uploaded from rich1e83aa3a496 B
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