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mradermacher/smollm2-1.7b-uncensored-i1-GGUF

mradermacher 1.7B GGUF second-order
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Response includes
  • classification m8
  • files 27
  • author_summary 3334 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='ElementMerc/smollm2-1.7b-uncensored' (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 · 30-day
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Likes
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Model age
today
created 2026-10-13

Genealogy 0 direct forks

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Variants by this author 2 formats · 0 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 refusal-removal interpretability senbonzakura en base_model:ElementMerc/smollm2-1.7b-uncensored base_model:quantized:ElementMerc/smollm2-1.7b-uncensored license:apache-2.0 endpoints_compatible

Related

Total size
18.5 GB
Files
27
Quantizations
11
Registered
2026-10-13 01:59
Last updated on HF
2026-10-13 01:28

Files by quantization

Q6_K 1 file 1.31 GB
smollm2-1.7b-uncensored.i1-Q6_K.gguf 1.31 GB d7537682 download
Q5_K 2 files 2.25 GB
smollm2-1.7b-uncensored.i1-Q5_K_M.gguf 1.14 GB 5a40723c download
smollm2-1.7b-uncensored.i1-Q5_K_S.gguf 1.11 GB c470ce5f download
Q4 2 files 1.94 GB
smollm2-1.7b-uncensored.i1-Q4_1.gguf 1.02 GB f9e65c9d download
smollm2-1.7b-uncensored.i1-Q4_0.gguf 948 MB 106bc301 download
Q4_K 2 files 1.91 GB
smollm2-1.7b-uncensored.i1-Q4_K_M.gguf 1007 MB 34b87a93 download
smollm2-1.7b-uncensored.i1-Q4_K_S.gguf 953 MB 9eaccfaf download
IQ4 2 files 1.80 GB
smollm2-1.7b-uncensored.i1-IQ4_NL.gguf 945 MB 4863bb10 download
smollm2-1.7b-uncensored.i1-IQ4_XS.gguf 897 MB d8f292e2 download
Q3_K 3 files 2.39 GB
smollm2-1.7b-uncensored.i1-Q3_K_L.gguf 889 MB 99263ade download
smollm2-1.7b-uncensored.i1-Q3_K_M.gguf 820 MB a15584ad download
smollm2-1.7b-uncensored.i1-Q3_K_S.gguf 741 MB e78017f0 download
IQ3 4 files 2.80 GB
smollm2-1.7b-uncensored.i1-IQ3_M.gguf 773 MB 39fd8fab download
smollm2-1.7b-uncensored.i1-IQ3_S.gguf 741 MB f3291a39 download
smollm2-1.7b-uncensored.i1-IQ3_XS.gguf 705 MB 38b53bd8 download
smollm2-1.7b-uncensored.i1-IQ3_XXS.gguf 649 MB 7f15c653 download
Q2_K 2 files 1.21 GB
smollm2-1.7b-uncensored.i1-Q2_K.gguf 643 MB d28ca4ed download
smollm2-1.7b-uncensored.i1-Q2_K_S.gguf 596 MB 28504475 download
IQ2 4 files 2.07 GB
smollm2-1.7b-uncensored.i1-IQ2_M.gguf 586 MB f8c8876e download
smollm2-1.7b-uncensored.i1-IQ2_S.gguf 546 MB af9d3a4e download
smollm2-1.7b-uncensored.i1-IQ2_XS.gguf 518 MB eb7c63a9 download
smollm2-1.7b-uncensored.i1-IQ2_XXS.gguf 474 MB 085588c9 download
IQ1 2 files 817 MB
smollm2-1.7b-uncensored.i1-IQ1_M.gguf 424 MB 72aaa5df download
smollm2-1.7b-uncensored.i1-IQ1_S.gguf 393 MB be6129ea download
Auxiliary files 3 files 1.91 MB
smollm2-1.7b-uncensored.imatrix.gguf 1.90 MB f983a665 download
README.md 6.27 KB 9e55e670 download
.gitattributes 3.30 KB 6d43d21b download

README current version from Hugging Face


base_model: ElementMerc/smollm2-1.7b-uncensored
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored
  • refusal-removal
  • interpretability
  • senbonzakura

About

weighted/imatrix quants of https://huggingface.co/ElementMerc/smollm2-1.7b-uncensored

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

static quants are available at https://huggingface.co/mradermacher/smollm2-1.7b-uncensored-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 0.5 for the desperate
GGUF i1-IQ1_M 0.5 mostly desperate
GGUF i1-IQ2_XXS 0.6
GGUF i1-IQ2_XS 0.6
GGUF i1-IQ2_S 0.7
GGUF i1-IQ2_M 0.7
GGUF i1-Q2_K_S 0.7 very low quality
GGUF i1-Q2_K 0.8 IQ3_XXS probably better
GGUF i1-IQ3_XXS 0.8 lower quality
GGUF i1-IQ3_XS 0.8
GGUF i1-IQ3_S 0.9 beats Q3_K*
GGUF i1-Q3_K_S 0.9 IQ3_XS probably better
GGUF i1-IQ3_M 0.9
GGUF i1-Q3_K_M 1.0 IQ3_S probably better
GGUF i1-Q3_K_L 1.0 IQ3_M probably better
GGUF i1-IQ4_XS 1.0
GGUF i1-IQ4_NL 1.1 prefer IQ4_XS
GGUF i1-Q4_0 1.1 fast, low quality
GGUF i1-Q4_K_S 1.1 optimal size/speed/quality
GGUF i1-Q4_K_M 1.2 fast, recommended
GGUF i1-Q4_1 1.2
GGUF i1-Q5_K_S 1.3
GGUF i1-Q5_K_M 1.3
GGUF i1-Q6_K 1.5 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.

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