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mradermacher/Qwen2.5-Coder-7B-Abliterated-i1-GGUF

mradermacher Qwen 7B GGUF second-order 33K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 21,225
  • 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='sci4ai/Qwen2.5-Coder-7B-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
21K
826 last 30d - cooling
Likes
1
Model age
6mo ago
created 2026-04-01
Downloads over time
Now21.4K→from10↑214,170%
07.9K15.7K23.6K10 on Apr 121.4K on Oct 12AprMayJunJulAugSepOct
Apr 1 → Oct 12 · 68 snapshots · spans 194 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 · 1K 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 qwen2.5 code en base_model:sci4ai/Qwen2.5-Coder-7B-Abliterated base_model:quantized:sci4ai/Qwen2.5-Coder-7B-Abliterated license:apache-2.0 endpoints_compatible region:us

Related

Total size
82.9 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-04-13 06:48

Files by quantization

Q6_K 1 file 5.82 GB
Qwen2.5-Coder-7B-Abliterated.i1-Q6_K.gguf 5.82 GB 41f02220 download
Q5_K 2 files 10.0 GB
Qwen2.5-Coder-7B-Abliterated.i1-Q5_K_M.gguf 5.07 GB 92336e6f download
Qwen2.5-Coder-7B-Abliterated.i1-Q5_K_S.gguf 4.95 GB 3c17b8ac download
Q4 2 files 8.68 GB
Qwen2.5-Coder-7B-Abliterated.i1-Q4_1.gguf 4.54 GB b00c8a97 download
Qwen2.5-Coder-7B-Abliterated.i1-Q4_0.gguf 4.14 GB 13353559 download
Q4_K 2 files 8.51 GB
Qwen2.5-Coder-7B-Abliterated.i1-Q4_K_M.gguf 4.36 GB 807d29b3 download
Qwen2.5-Coder-7B-Abliterated.i1-Q4_K_S.gguf 4.15 GB 8441e751 download
IQ4 2 files 8.06 GB
Qwen2.5-Coder-7B-Abliterated.i1-IQ4_NL.gguf 4.13 GB 1762c1d5 download
Qwen2.5-Coder-7B-Abliterated.i1-IQ4_XS.gguf 3.93 GB a1b3cda4 download
Q3_K 3 files 10.6 GB
Qwen2.5-Coder-7B-Abliterated.i1-Q3_K_L.gguf 3.81 GB b4afe118 download
Qwen2.5-Coder-7B-Abliterated.i1-Q3_K_M.gguf 3.55 GB 9ef375a4 download
Qwen2.5-Coder-7B-Abliterated.i1-Q3_K_S.gguf 3.25 GB 08fa93d5 download
IQ3 4 files 12.6 GB
Qwen2.5-Coder-7B-Abliterated.i1-IQ3_M.gguf 3.33 GB 967a6354 download
Qwen2.5-Coder-7B-Abliterated.i1-IQ3_S.gguf 3.26 GB fa1304f3 download
Qwen2.5-Coder-7B-Abliterated.i1-IQ3_XS.gguf 3.12 GB a269c31a download
Qwen2.5-Coder-7B-Abliterated.i1-IQ3_XXS.gguf 2.90 GB 007f830d download
Q2_K 2 files 5.45 GB
Qwen2.5-Coder-7B-Abliterated.i1-Q2_K.gguf 2.81 GB 1799b978 download
Qwen2.5-Coder-7B-Abliterated.i1-Q2_K_S.gguf 2.64 GB 56a17fca download
IQ2 4 files 9.42 GB
Qwen2.5-Coder-7B-Abliterated.i1-IQ2_M.gguf 2.59 GB 9e80da31 download
Qwen2.5-Coder-7B-Abliterated.i1-IQ2_S.gguf 2.42 GB 5f6bbd3d download
Qwen2.5-Coder-7B-Abliterated.i1-IQ2_XS.gguf 2.30 GB 18338751 download
Qwen2.5-Coder-7B-Abliterated.i1-IQ2_XXS.gguf 2.12 GB e557fb12 download
IQ1 2 files 3.67 GB
Qwen2.5-Coder-7B-Abliterated.i1-IQ1_M.gguf 1.90 GB 400206d3 download
Qwen2.5-Coder-7B-Abliterated.i1-IQ1_S.gguf 1.77 GB 0153a923 download
Auxiliary files 3 files 4.36 MB
Qwen2.5-Coder-7B-Abliterated.imatrix.gguf 4.35 MB 9cfb9e5d download
README.md 6.49 KB b3bdd30e download
.gitattributes 3.42 KB b221b6f9 download

README current version from Hugging Face


base_model: sci4ai/Qwen2.5-Coder-7B-Abliterated
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored
  • qwen2.5
  • code

About

weighted/imatrix quants of https://huggingface.co/sci4ai/Qwen2.5-Coder-7B-Abliterated

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

static quants are available at https://huggingface.co/mradermacher/Qwen2.5-Coder-7B-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 2.0 for the desperate
GGUF i1-IQ1_M 2.1 mostly desperate
GGUF i1-IQ2_XXS 2.4
GGUF i1-IQ2_XS 2.6
GGUF i1-IQ2_S 2.7
GGUF i1-IQ2_M 2.9
GGUF i1-Q2_K_S 2.9 very low quality
GGUF i1-Q2_K 3.1 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.2 lower quality
GGUF i1-IQ3_XS 3.4
GGUF i1-Q3_K_S 3.6 IQ3_XS probably better
GGUF i1-IQ3_S 3.6 beats Q3_K*
GGUF i1-IQ3_M 3.7
GGUF i1-Q3_K_M 3.9 IQ3_S probably better
GGUF i1-Q3_K_L 4.2 IQ3_M probably better
GGUF i1-IQ4_XS 4.3
GGUF i1-IQ4_NL 4.5 prefer IQ4_XS
GGUF i1-Q4_0 4.5 fast, low quality
GGUF i1-Q4_K_S 4.6 optimal size/speed/quality
GGUF i1-Q4_K_M 4.8 fast, recommended
GGUF i1-Q4_1 5.0
GGUF i1-Q5_K_S 5.4
GGUF i1-Q5_K_M 5.5
GGUF i1-Q6_K 6.4 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 4 versions

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

  1. 2026-04-13auto-patch README.md2fdd8e96.5 KB
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  2. 2026-04-01auto-patch README.mdcacaf956.5 KB
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  3. 2026-04-01auto-patch README.md79cdbad2.8 KB
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  4. 2026-04-01uploaded from marcod41c785482 B
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