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mradermacher/Huihui-Qwen3-Coder-Next-abliterated-i1-GGUF

mradermacher Qwen GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 46,961
  • 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-Coder-Next-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.

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Downloads · lifetime
47K
5K last 30d - stable
Likes
3
Model age
8mo ago
created 2026-02-12
Downloads over time
Now48.7K→from16.8K↑190%
15.2K27.5K39.7K51.9K16.8K on Feb 1148.7K on Oct 11FebAprJunAugOct
Feb 11 → Oct 11 · 76 snapshots · spans 242 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 · 8K 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
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored en base_model:huihui-ai/Huihui-Qwen3-Coder-Next-abliterated base_model:quantized:huihui-ai/Huihui-Qwen3-Coder-Next-abliterated license:apache-2.0 endpoints_compatible region:us imatrix conversational

Related

Total size
784 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-02-14 08:50

Files by quantization

Q6_K 1 file 61.0 GB
Huihui-Qwen3-Coder-Next-abliterated.i1-Q6_K.gguf 61.0 GB 696514b3 download
Q5_K 2 files 104 GB
Huihui-Qwen3-Coder-Next-abliterated.i1-Q5_K_M.gguf 52.9 GB c905a87f download
Huihui-Qwen3-Coder-Next-abliterated.i1-Q5_K_S.gguf 51.2 GB 8c75df41 download
Q4 2 files 88.8 GB
Huihui-Qwen3-Coder-Next-abliterated.i1-Q4_1.gguf 46.6 GB e0adda64 download
Huihui-Qwen3-Coder-Next-abliterated.i1-Q4_0.gguf 42.2 GB f7cd045f download
Q4_K 2 files 87.5 GB
Huihui-Qwen3-Coder-Next-abliterated.i1-Q4_K_M.gguf 45.2 GB cf415a38 download
Huihui-Qwen3-Coder-Next-abliterated.i1-Q4_K_S.gguf 42.4 GB de6a3de8 download
IQ4 1 file 39.7 GB
Huihui-Qwen3-Coder-Next-abliterated.i1-IQ4_XS.gguf 39.7 GB 312b2f85 download
Q3_K 3 files 106 GB
Huihui-Qwen3-Coder-Next-abliterated.i1-Q3_K_L.gguf 38.5 GB 8b751d37 download
Huihui-Qwen3-Coder-Next-abliterated.i1-Q3_K_M.gguf 35.6 GB 655d9851 download
Huihui-Qwen3-Coder-Next-abliterated.i1-Q3_K_S.gguf 32.2 GB 69545cf3 download
IQ3 4 files 124 GB
Huihui-Qwen3-Coder-Next-abliterated.i1-IQ3_M.gguf 32.7 GB fea1af69 download
Huihui-Qwen3-Coder-Next-abliterated.i1-IQ3_S.gguf 32.2 GB 014d94c3 download
Huihui-Qwen3-Coder-Next-abliterated.i1-IQ3_XS.gguf 30.5 GB 4b00487f download
Huihui-Qwen3-Coder-Next-abliterated.i1-IQ3_XXS.gguf 28.7 GB ba9677ab download
Q2_K 2 files 52.5 GB
Huihui-Qwen3-Coder-Next-abliterated.i1-Q2_K.gguf 27.1 GB e01a6dc3 download
Huihui-Qwen3-Coder-Next-abliterated.i1-Q2_K_S.gguf 25.4 GB 4185d6f3 download
IQ2 4 files 87.7 GB
Huihui-Qwen3-Coder-Next-abliterated.i1-IQ2_M.gguf 24.3 GB 562810c0 download
Huihui-Qwen3-Coder-Next-abliterated.i1-IQ2_S.gguf 22.0 GB 046608ee download
Huihui-Qwen3-Coder-Next-abliterated.i1-IQ2_XS.gguf 21.8 GB 8dc130d6 download
Huihui-Qwen3-Coder-Next-abliterated.i1-IQ2_XXS.gguf 19.6 GB ec19f52d download
IQ1 2 files 31.8 GB
Huihui-Qwen3-Coder-Next-abliterated.i1-IQ1_M.gguf 16.8 GB 0f55acaf download
Huihui-Qwen3-Coder-Next-abliterated.i1-IQ1_S.gguf 15.1 GB fd73089b download
Auxiliary files 3 files 436 MB
Huihui-Qwen3-Coder-Next-abliterated.imatrix.gguf 436 MB ca4d1c79 download
README.md 6.76 KB 93430591 download
.gitattributes 3.51 KB a5cd3b14 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Qwen3-Coder-Next-abliterated
language:


About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-Qwen3-Coder-Next-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-Coder-Next-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 35.2
GGUF i1-Q3_K_M 38.4 IQ3_S probably better
GGUF i1-Q3_K_L 41.4 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 48.6 fast, recommended
GGUF i1-Q4_1 50.1
GGUF i1-Q5_K_S 55.1
GGUF i1-Q5_K_M 56.9
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 13 versions

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

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  13. 2026-02-12uploaded from nico15174748491 B
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