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

mradermacher/Qwen3-Next-480E-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 14,120
  • 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-480E-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
14K
531 last 30d - cooling
Likes
0
Model age
8mo ago
created 2026-01-19
Downloads over time
Now14.2K→from8.2K↑73%
7.9K10.2K12.5K14.8K8.2K on Jan 2114.2K on Oct 1114.2K on Oct 10JanMarMayJulSep
Jan 21 → Oct 11 · 77 snapshots · spans 263 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 · 744 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-480E-Abliterated-Instruct base_model:quantized:blascotobasco/Qwen3-Next-480E-Abliterated-Instruct license:mit endpoints_compatible region:us

Related

Total size
736 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-01-20 23:57

Files by quantization

Q6_K 1 file 57.3 GB
Qwen3-Next-480E-Abliterated-Instruct.i1-Q6_K.gguf 57.3 GB 54688d89 download
Q5_K 2 files 97.8 GB
Qwen3-Next-480E-Abliterated-Instruct.i1-Q5_K_M.gguf 49.7 GB fa1965d1 download
Qwen3-Next-480E-Abliterated-Instruct.i1-Q5_K_S.gguf 48.1 GB 80a3593e download
Q4 2 files 83.4 GB
Qwen3-Next-480E-Abliterated-Instruct.i1-Q4_1.gguf 43.8 GB c4587798 download
Qwen3-Next-480E-Abliterated-Instruct.i1-Q4_0.gguf 39.6 GB c6dee281 download
Q4_K 2 files 82.2 GB
Qwen3-Next-480E-Abliterated-Instruct.i1-Q4_K_M.gguf 42.4 GB ea2627fb download
Qwen3-Next-480E-Abliterated-Instruct.i1-Q4_K_S.gguf 39.8 GB c89bb892 download
IQ4 1 file 37.3 GB
Qwen3-Next-480E-Abliterated-Instruct.i1-IQ4_XS.gguf 37.3 GB 3f2aaf2d download
Q3_K 3 files 99.9 GB
Qwen3-Next-480E-Abliterated-Instruct.i1-Q3_K_L.gguf 36.1 GB 24d05ddc download
Qwen3-Next-480E-Abliterated-Instruct.i1-Q3_K_M.gguf 33.5 GB 95cf1897 download
Qwen3-Next-480E-Abliterated-Instruct.i1-Q3_K_S.gguf 30.2 GB d85b8717 download
IQ3 4 files 117 GB
Qwen3-Next-480E-Abliterated-Instruct.i1-IQ3_M.gguf 30.7 GB 2eda7a85 download
Qwen3-Next-480E-Abliterated-Instruct.i1-IQ3_S.gguf 30.2 GB f57228de download
Qwen3-Next-480E-Abliterated-Instruct.i1-IQ3_XS.gguf 28.6 GB 4059970a download
Qwen3-Next-480E-Abliterated-Instruct.i1-IQ3_XXS.gguf 26.9 GB 2415c593 download
Q2_K 2 files 49.3 GB
Qwen3-Next-480E-Abliterated-Instruct.i1-Q2_K.gguf 25.5 GB 892d67a7 download
Qwen3-Next-480E-Abliterated-Instruct.i1-Q2_K_S.gguf 23.8 GB b2bb68a7 download
IQ2 4 files 82.4 GB
Qwen3-Next-480E-Abliterated-Instruct.i1-IQ2_M.gguf 22.8 GB 76ddd768 download
Qwen3-Next-480E-Abliterated-Instruct.i1-IQ2_S.gguf 20.7 GB 3ba858d1 download
Qwen3-Next-480E-Abliterated-Instruct.i1-IQ2_XS.gguf 20.5 GB ea741ab2 download
Qwen3-Next-480E-Abliterated-Instruct.i1-IQ2_XXS.gguf 18.4 GB 91999afc download
IQ1 2 files 29.9 GB
Qwen3-Next-480E-Abliterated-Instruct.i1-IQ1_M.gguf 15.8 GB 0e0f6e49 download
Qwen3-Next-480E-Abliterated-Instruct.i1-IQ1_S.gguf 14.2 GB ed2d055a download
Auxiliary files 3 files 409 MB
Qwen3-Next-480E-Abliterated-Instruct.imatrix.gguf 409 MB 863cd05c download
README.md 6.75 KB 99babaff download
.gitattributes 3.53 KB 906091cb download

README current version from Hugging Face


base_model: blascotobasco/Qwen3-Next-480E-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-480E-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-480E-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 0.5 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 15.3 for the desperate
GGUF i1-IQ1_M 17.0 mostly desperate
GGUF i1-IQ2_XXS 19.8
GGUF i1-IQ2_XS 22.1
GGUF i1-IQ2_S 22.3
GGUF i1-IQ2_M 24.6
GGUF i1-Q2_K_S 25.7 very low quality
GGUF i1-Q2_K 27.5 IQ3_XXS probably better
GGUF i1-IQ3_XXS 29.0 lower quality
GGUF i1-IQ3_XS 30.8
GGUF i1-Q3_K_S 32.6 IQ3_XS probably better
GGUF i1-IQ3_S 32.6 beats Q3_K*
GGUF i1-IQ3_M 33.1
GGUF i1-Q3_K_M 36.1 IQ3_S probably better
GGUF i1-Q3_K_L 38.9 IQ3_M probably better
GGUF i1-IQ4_XS 40.1
GGUF i1-Q4_0 42.6 fast, low quality
GGUF i1-Q4_K_S 42.8 optimal size/speed/quality
GGUF i1-Q4_K_M 45.6 fast, recommended
GGUF i1-Q4_1 47.1
GGUF i1-Q5_K_S 51.8
GGUF i1-Q5_K_M 53.4
GGUF i1-Q6_K 61.7 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 7 versions

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

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  6. 2026-01-19auto-patch README.mdb2da5192.5 KB
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  7. 2026-01-19uploaded from rich14f9052e496 B
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