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mradermacher/Devstral-Small-2-24B-Instruct-abliterated-i1-GGUF

mradermacher Mistral 24B GGUF second-order 393K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 8,407
  • 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 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='wangzhang/Devstral-Small-2-24B-Instruct-abliterated' (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 · lifetime
8K
3K last 30d - stable
Likes
0
Model age
6mo ago
created 2026-03-24
Downloads over time
Now9K→from1.6K↑445%
1.3K4.1K6.9K9.7K1.6K on Mar 259K on Oct 11MarAprMayJunJulAugSepOct
Mar 25 → Oct 11 · 69 snapshots · spans 200 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 · 5K 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 zh
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterix uncensored decensored abliterated mistral code en zh base_model:wangzhang/Devstral-Small-2-24B-Instruct-abliterated base_model:quantized:wangzhang/Devstral-Small-2-24B-Instruct-abliterated

Related

Total size
236 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-09-13 21:20

Files by quantization

Q6_K 1 file 18.0 GB
Devstral-Small-2-24B-Instruct-abliterated.i1-Q6_K.gguf 18.0 GB b0b27c4a download
Q5_K 2 files 30.8 GB
Devstral-Small-2-24B-Instruct-abliterated.i1-Q5_K_M.gguf 15.6 GB aa16fa28 download
Devstral-Small-2-24B-Instruct-abliterated.i1-Q5_K_S.gguf 15.2 GB 2a47accb download
Q4 2 files 26.4 GB
Devstral-Small-2-24B-Instruct-abliterated.i1-Q4_1.gguf 13.9 GB eb84e292 download
Devstral-Small-2-24B-Instruct-abliterated.i1-Q4_0.gguf 12.6 GB f52a24d5 download
Q4_K 2 files 26.0 GB
Devstral-Small-2-24B-Instruct-abliterated.i1-Q4_K_M.gguf 13.3 GB 8b123f41 download
Devstral-Small-2-24B-Instruct-abliterated.i1-Q4_K_S.gguf 12.6 GB 4e27c7a7 download
IQ4 1 file 11.9 GB
Devstral-Small-2-24B-Instruct-abliterated.i1-IQ4_XS.gguf 11.9 GB 9ea85959 download
Q3_K 3 files 31.9 GB
Devstral-Small-2-24B-Instruct-abliterated.i1-Q3_K_L.gguf 11.5 GB 0b1c5ebe download
Devstral-Small-2-24B-Instruct-abliterated.i1-Q3_K_M.gguf 10.7 GB 5bc57be2 download
Devstral-Small-2-24B-Instruct-abliterated.i1-Q3_K_S.gguf 9.69 GB ca38a5d9 download
IQ3 4 files 37.5 GB
Devstral-Small-2-24B-Instruct-abliterated.i1-IQ3_M.gguf 9.92 GB abb9abad download
Devstral-Small-2-24B-Instruct-abliterated.i1-IQ3_S.gguf 9.71 GB 2eb929e3 download
Devstral-Small-2-24B-Instruct-abliterated.i1-IQ3_XS.gguf 9.23 GB f316a6de download
Devstral-Small-2-24B-Instruct-abliterated.i1-IQ3_XXS.gguf 8.64 GB 16a602bd download
Q2_K 2 files 16.0 GB
Devstral-Small-2-24B-Instruct-abliterated.i1-Q2_K.gguf 8.28 GB f677d4bf download
Devstral-Small-2-24B-Instruct-abliterated.i1-Q2_K_S.gguf 7.75 GB 625a775d download
IQ2 4 files 27.3 GB
Devstral-Small-2-24B-Instruct-abliterated.i1-IQ2_M.gguf 7.56 GB 909fb424 download
Devstral-Small-2-24B-Instruct-abliterated.i1-IQ2_S.gguf 6.96 GB 04ef7217 download
Devstral-Small-2-24B-Instruct-abliterated.i1-IQ2_XS.gguf 6.71 GB f57db4a7 download
Devstral-Small-2-24B-Instruct-abliterated.i1-IQ2_XXS.gguf 6.10 GB cf963c75 download
IQ1 2 files 10.3 GB
Devstral-Small-2-24B-Instruct-abliterated.i1-IQ1_M.gguf 5.36 GB fd3f567c download
Devstral-Small-2-24B-Instruct-abliterated.i1-IQ1_S.gguf 4.91 GB 60682dd8 download
Auxiliary files 3 files 9.58 MB
Devstral-Small-2-24B-Instruct-abliterated.imatrix.gguf 9.57 MB 5e5c8073 download
README.md 7.19 KB ec66f9ab download
.gitattributes 3.65 KB 68142d37 download

README current version from Hugging Face


base_model: wangzhang/Devstral-Small-2-24B-Instruct-abliterated
language:

  • en
  • zh
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterix
  • uncensored
  • decensored
  • abliterated
  • mistral
  • code

About

weighted/imatrix quants of https://huggingface.co/wangzhang/Devstral-Small-2-24B-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/Devstral-Small-2-24B-Instruct-abliterated-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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 5.4 for the desperate
GGUF i1-IQ1_M 5.9 mostly desperate
GGUF i1-IQ2_XXS 6.6
GGUF i1-IQ2_XS 7.3
GGUF i1-IQ2_S 7.6
GGUF i1-IQ2_M 8.2
GGUF i1-Q2_K_S 8.4 very low quality
GGUF i1-Q2_K 9.0 IQ3_XXS probably better
GGUF i1-IQ3_XXS 9.4 lower quality
GGUF i1-IQ3_XS 10.0
GGUF i1-Q3_K_S 10.5 IQ3_XS probably better
GGUF i1-IQ3_S 10.5 beats Q3_K*
GGUF i1-IQ3_M 10.8
GGUF i1-Q3_K_M 11.6 IQ3_S probably better
GGUF i1-Q3_K_L 12.5 IQ3_M probably better
GGUF i1-IQ4_XS 12.9
GGUF i1-Q4_0 13.6 fast, low quality
GGUF i1-Q4_K_S 13.6 optimal size/speed/quality
GGUF i1-Q4_K_M 14.4 fast, recommended
GGUF i1-Q4_1 15.0
GGUF i1-Q5_K_S 16.4
GGUF i1-Q5_K_M 16.9
GGUF i1-Q6_K 19.4 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 5 versions

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

  1. 2026-09-13auto-patch README.mde76733b7.2 KB
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  2. 2026-03-30auto-patch README.md446a0f87.2 KB
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  3. 2026-03-24auto-patch README.md3e020777.2 KB
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  4. 2026-03-24auto-patch README.mdc90c0976.6 KB
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  5. 2026-03-24uploaded from nico17e08f64498 B
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