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mradermacher/Huihui-Qwen3-4B-Thinking-2507-abliterated-i1-GGUF

mradermacher Qwen 4B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 6,996
  • 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-Qwen3-4B-Thinking-2507-abliterated' (base is huihui-ai model (M3))
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Downloads · lifetime
7K
1K last 30d - stable
Likes
1
Model age
14mo ago
created 2025-08-08
Downloads over time
Now7.4K→from427↑1,630%
792.7K5.4K8.1K427 on Aug 6, 20257.4K on Oct 12Aug '25Oct '25Dec '25FebAprJunAugOct
Aug 6, 2025 → Oct 12 · 102 snapshots · spans 432 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 · 2K 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-Qwen3-4B-Thinking-2507-abliterated base_model:quantized:huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated license:apache-2.0 endpoints_compatible region:us imatrix conversational

Related

Total size
44.7 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-30 18:01

Files by quantization

Q6_K 1 file 3.08 GB
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-Q6_K.gguf 3.08 GB 4c3af48d download
Q5_K 2 files 5.32 GB
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-Q5_K_M.gguf 2.69 GB e2c2e9e2 download
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-Q5_K_S.gguf 2.63 GB 208fb1ff download
Q4 2 files 4.63 GB
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-Q4_1.gguf 2.42 GB be1ac5d0 download
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-Q4_0.gguf 2.21 GB acbe5984 download
Q4_K 2 files 4.55 GB
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-Q4_K_M.gguf 2.33 GB ec3ab8a4 download
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-Q4_K_S.gguf 2.22 GB 4b15940f download
IQ4 2 files 4.33 GB
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-IQ4_NL.gguf 2.22 GB 00819569 download
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-IQ4_XS.gguf 2.11 GB 4bcaba4f download
Q3_K 3 files 5.78 GB
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-Q3_K_L.gguf 2.09 GB 7417a87b download
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-Q3_K_M.gguf 1.93 GB 534c40c4 download
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-Q3_K_S.gguf 1.76 GB 76254c68 download
IQ3 4 files 6.84 GB
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-IQ3_M.gguf 1.83 GB 3f3d1ff1 download
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-IQ3_S.gguf 1.77 GB 9581dee6 download
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-IQ3_XS.gguf 1.69 GB 523b61f1 download
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-IQ3_XXS.gguf 1.56 GB ddb2bcc8 download
Q2_K 2 files 3.01 GB
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-Q2_K.gguf 1.55 GB 16b98463 download
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-Q2_K_S.gguf 1.46 GB f90c0b30 download
IQ2 4 files 5.15 GB
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-IQ2_M.gguf 1.41 GB 884c0aac download
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-IQ2_S.gguf 1.32 GB 89fa97f5 download
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-IQ2_XS.gguf 1.26 GB d4d2bae6 download
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-IQ2_XXS.gguf 1.16 GB 187c7445 download
IQ1 2 files 2.03 GB
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-IQ1_M.gguf 1.05 GB 1ad6cbcb download
Huihui-Qwen3-4B-Thinking-2507-abliterated.i1-IQ1_S.gguf 1006 MB a353f3c1 download
Auxiliary files 3 files 3.70 MB
Huihui-Qwen3-4B-Thinking-2507-abliterated.imatrix.gguf 3.69 MB d3d03a74 download
README.md 7.24 KB b4362b10 download
.gitattributes 3.74 KB e820e23c download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated
language:


About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-Qwen3-4B-Thinking-2507-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-Qwen3-4B-Thinking-2507-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 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 1.2 for the desperate
GGUF i1-IQ1_M 1.2 mostly desperate
GGUF i1-IQ2_XXS 1.3
GGUF i1-IQ2_XS 1.5
GGUF i1-IQ2_S 1.5
GGUF i1-IQ2_M 1.6
GGUF i1-Q2_K_S 1.7 very low quality
GGUF i1-Q2_K 1.8 IQ3_XXS probably better
GGUF i1-IQ3_XXS 1.8 lower quality
GGUF i1-IQ3_XS 1.9
GGUF i1-Q3_K_S 2.0 IQ3_XS probably better
GGUF i1-IQ3_S 2.0 beats Q3_K*
GGUF i1-IQ3_M 2.1
GGUF i1-Q3_K_M 2.2 IQ3_S probably better
GGUF i1-Q3_K_L 2.3 IQ3_M probably better
GGUF i1-IQ4_XS 2.4
GGUF i1-Q4_0 2.5 fast, low quality
GGUF i1-IQ4_NL 2.5 prefer IQ4_XS
GGUF i1-Q4_K_S 2.5 optimal size/speed/quality
GGUF i1-Q4_K_M 2.6 fast, recommended
GGUF i1-Q4_1 2.7
GGUF i1-Q5_K_S 2.9
GGUF i1-Q5_K_M 3.0
GGUF i1-Q6_K 3.4 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 3 versions

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

  1. 2025-12-30auto-patch README.md9eccec57.2 KB
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  2. 2025-08-08auto-patch README.md04258767.2 KB
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  3. 2025-08-08uploaded from rich1ff1832b496 B
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