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mradermacher/Huihui-SmolLM3-3B-abliterated-i1-GGUF

mradermacher 3B GGUF second-order 66K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 6,120
  • 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 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-SmolLM3-3B-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
6K
1K last 30d - stable
Likes
3
Model age
15mo ago
created 2025-07-15
Downloads over time
Now6.4K→from334↑1,814%
312.4K4.7K7K334 on Jul 16, 20256.4K on Oct 11Jul '25Sep '25Nov '25JanMarMayJulSep
Jul 16, 2025 → Oct 11 · 104 snapshots · spans 452 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 fr es it pt zh ar ru
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored en fr es it pt zh ar ru

Related

Total size
33.9 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-07-15 23:00

Files by quantization

Q6_K 1 file 2.36 GB
Huihui-SmolLM3-3B-abliterated.i1-Q6_K.gguf 2.36 GB 36254f94 download
Q5_K 2 files 4.07 GB
Huihui-SmolLM3-3B-abliterated.i1-Q5_K_M.gguf 2.06 GB b0904b58 download
Huihui-SmolLM3-3B-abliterated.i1-Q5_K_S.gguf 2.01 GB ed367eca download
Q4 2 files 3.53 GB
Huihui-SmolLM3-3B-abliterated.i1-Q4_1.gguf 1.85 GB 6eb0c5b7 download
Huihui-SmolLM3-3B-abliterated.i1-Q4_0.gguf 1.69 GB 3ac1920b download
Q4_K 2 files 3.48 GB
Huihui-SmolLM3-3B-abliterated.i1-Q4_K_M.gguf 1.78 GB 0c2f1c65 download
Huihui-SmolLM3-3B-abliterated.i1-Q4_K_S.gguf 1.69 GB 53a7a12e download
IQ4 2 files 3.29 GB
Huihui-SmolLM3-3B-abliterated.i1-IQ4_NL.gguf 1.69 GB 7146f9e3 download
Huihui-SmolLM3-3B-abliterated.i1-IQ4_XS.gguf 1.61 GB c947597b download
Q3_K 3 files 4.37 GB
Huihui-SmolLM3-3B-abliterated.i1-Q3_K_L.gguf 1.57 GB 4b45a204 download
Huihui-SmolLM3-3B-abliterated.i1-Q3_K_M.gguf 1.46 GB a33b9c78 download
Huihui-SmolLM3-3B-abliterated.i1-Q3_K_S.gguf 1.33 GB 56c20db3 download
IQ3 4 files 5.16 GB
Huihui-SmolLM3-3B-abliterated.i1-IQ3_M.gguf 1.37 GB 584e6018 download
Huihui-SmolLM3-3B-abliterated.i1-IQ3_S.gguf 1.34 GB 97df977c download
Huihui-SmolLM3-3B-abliterated.i1-IQ3_XS.gguf 1.28 GB 638e3f43 download
Huihui-SmolLM3-3B-abliterated.i1-IQ3_XXS.gguf 1.18 GB e3f60820 download
Q2_K 2 files 2.26 GB
Huihui-SmolLM3-3B-abliterated.i1-Q2_K.gguf 1.17 GB 3f98f56d download
Huihui-SmolLM3-3B-abliterated.i1-Q2_K_S.gguf 1.10 GB 4e48b2b2 download
IQ2 4 files 3.84 GB
Huihui-SmolLM3-3B-abliterated.i1-IQ2_M.gguf 1.05 GB 0f291000 download
Huihui-SmolLM3-3B-abliterated.i1-IQ2_S.gguf 998 MB d818d996 download
Huihui-SmolLM3-3B-abliterated.i1-IQ2_XS.gguf 969 MB 7b82281f download
Huihui-SmolLM3-3B-abliterated.i1-IQ2_XXS.gguf 889 MB 028ddf7e download
IQ1 2 files 1.50 GB
Huihui-SmolLM3-3B-abliterated.i1-IQ1_M.gguf 794 MB 6503a54d download
Huihui-SmolLM3-3B-abliterated.i1-IQ1_S.gguf 738 MB 476ae330 download
Auxiliary files 3 files 3.22 MB
imatrix.dat 3.21 MB ef358f26 download
README.md 6.13 KB 5460ad17 download
.gitattributes 3.42 KB 27434abb download

README current version from Hugging Face


base_model: huihui-ai/Huihui-SmolLM3-3B-abliterated
language:

  • en
  • fr
  • es
  • it
  • pt
  • zh
  • ar
  • ru
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-SmolLM3-3B-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-SmolLM3-3B-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 i1-IQ1_S 0.9 for the desperate
GGUF i1-IQ1_M 0.9 mostly desperate
GGUF i1-IQ2_XXS 1.0
GGUF i1-IQ2_XS 1.1
GGUF i1-IQ2_S 1.1
GGUF i1-IQ2_M 1.2
GGUF i1-Q2_K_S 1.3 very low quality
GGUF i1-Q2_K 1.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 1.4 lower quality
GGUF i1-IQ3_XS 1.5
GGUF i1-Q3_K_S 1.5 IQ3_XS probably better
GGUF i1-IQ3_S 1.5 beats Q3_K*
GGUF i1-IQ3_M 1.6
GGUF i1-Q3_K_M 1.7 IQ3_S probably better
GGUF i1-Q3_K_L 1.8 IQ3_M probably better
GGUF i1-IQ4_XS 1.8
GGUF i1-IQ4_NL 1.9 prefer IQ4_XS
GGUF i1-Q4_0 1.9 fast, low quality
GGUF i1-Q4_K_S 1.9 optimal size/speed/quality
GGUF i1-Q4_K_M 2.0 fast, recommended
GGUF i1-Q4_1 2.1
GGUF i1-Q5_K_S 2.3
GGUF i1-Q5_K_M 2.3
GGUF i1-Q6_K 2.6 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 2 versions

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

  1. 2025-07-15auto-patch README.md0bf2fd66.1 KB
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  2. 2025-07-15uploaded from back11afe85247 B
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