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

mradermacher/Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated-i1-GGUF

mradermacher Qwen 80B GGUF MoE second-order 262K ctx
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Response includes
  • classification m8
  • files 26
  • benchmarks 11 entries
  • hub_downloads_all_time 49,604
  • 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 layer-wise ablation 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='huihui-ai/Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated' (base is huihui-ai model (M3))
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
50K
20K last 30d - stable
Likes
6
Model age
9mo ago
created 2025-12-22
Downloads over time
Now53.6K→from7.9K↑575%
5.7K23.2K40.7K58.2K7.9K on Dec 24, 202553.6K on Oct 11Dec '25FebAprJunAugOct
Dec 24, 2025 → Oct 11 · 82 snapshots · spans 291 days

Benchmarks

Benchmark Score Source
Entertainment 1.3 UGI
Hazardous 3.5 UGI
Natural Intelligence 27.28 UGI
Political lean -17.8% UGI
Sensitive-Info 20.22 UGI
SocPol 1.7 UGI
UGI 41.81 UGI
Willingness (10) 8.5 UGI
W10-Adherence 10 UGI
W10-Direct 7 UGI
Writing 42.37 UGI

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 · 21K 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 license:mit endpoints_compatible region:us imatrix conversational

Related

Total size
783 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-23 03:00

Files by quantization

Q6_K 1 file 61.0 GB
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q6_K.gguf 61.0 GB c6cc7fbd download
Q5_K 2 files 104 GB
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q5_K_M.gguf 52.8 GB 9d64a710 download
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q5_K_S.gguf 51.2 GB 9ff6695e download
Q4 2 files 88.8 GB
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q4_1.gguf 46.6 GB 5cebd096 download
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q4_0.gguf 42.2 GB 77f50f8b download
Q4_K 2 files 87.4 GB
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q4_K_M.gguf 45.1 GB c33d04a1 download
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q4_K_S.gguf 42.4 GB d893c3ab download
IQ4 1 file 39.7 GB
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ4_XS.gguf 39.7 GB cd96ac69 download
Q3_K 3 files 106 GB
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q3_K_L.gguf 38.4 GB 9dfc09d4 download
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q3_K_M.gguf 35.6 GB 7227f06a download
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q3_K_S.gguf 32.2 GB f1ffa228 download
IQ3 4 files 124 GB
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ3_M.gguf 32.6 GB 9c56e15e download
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ3_S.gguf 32.2 GB 5651266e download
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ3_XS.gguf 30.5 GB 9af38503 download
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ3_XXS.gguf 28.7 GB 87ba2e15 download
Q2_K 2 files 52.5 GB
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q2_K.gguf 27.1 GB 1b0563f6 download
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q2_K_S.gguf 25.4 GB 3b66485d download
IQ2 4 files 87.7 GB
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ2_M.gguf 24.3 GB 6dbbe005 download
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ2_S.gguf 22.0 GB bde8c0c5 download
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ2_XS.gguf 21.8 GB d126b8bd download
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ2_XXS.gguf 19.6 GB 83401c11 download
IQ1 2 files 31.8 GB
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ1_M.gguf 16.8 GB 71b3056c download
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ1_S.gguf 15.1 GB a02be7ce download
Auxiliary files 3 files 436 MB
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated.imatrix.gguf 436 MB 238ec5d7 download
README.md 7.25 KB 5f7394b0 download
.gitattributes 3.77 KB d810b853 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated
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/huihui-ai/Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated-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 0.6 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 16.3 for the desperate
GGUF i1-IQ1_M 18.1 mostly desperate
GGUF i1-IQ2_XXS 21.1
GGUF i1-IQ2_XS 23.5
GGUF i1-IQ2_S 23.7
GGUF i1-IQ2_M 26.2
GGUF i1-Q2_K_S 27.4 very low quality
GGUF i1-Q2_K 29.2 IQ3_XXS probably better
GGUF i1-IQ3_XXS 30.9 lower quality
GGUF i1-IQ3_XS 32.8
GGUF i1-Q3_K_S 34.6 IQ3_XS probably better
GGUF i1-IQ3_S 34.6 beats Q3_K*
GGUF i1-IQ3_M 35.1
GGUF i1-Q3_K_M 38.3 IQ3_S probably better
GGUF i1-Q3_K_L 41.3 IQ3_M probably better
GGUF i1-IQ4_XS 42.7
GGUF i1-Q4_0 45.4 fast, low quality
GGUF i1-Q4_K_S 45.6 optimal size/speed/quality
GGUF i1-Q4_K_M 48.5 fast, recommended
GGUF i1-Q4_1 50.1
GGUF i1-Q5_K_S 55.1
GGUF i1-Q5_K_M 56.8
GGUF i1-Q6_K 65.6 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 16 versions

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

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