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mradermacher/Qwen2.5-Coder-32B-Instruct-NP-Abliterated-i1-GGUF

mradermacher Qwen 32B GGUF second-order 33K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 6,561
  • 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='Nabbers1999/Qwen2.5-Coder-32B-Instruct-NP-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
7K
1K last 30d - stable
Likes
0
Model age
9mo ago
created 2026-01-02
Downloads over time
Now6.9K→from333↑1,966%
62.5K5K7.5K333 on Dec 31, 20256.9K on Oct 11Dec '25FebAprJunAugOct
Dec 31, 2025 → Oct 11 · 80 snapshots · spans 284 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 qwen qwen-2.5 text-generation conversational abliterated en base_model:Nabbers1999/Qwen2.5-Coder-32B-Instruct-NP-Abliterated base_model:quantized:Nabbers1999/Qwen2.5-Coder-32B-Instruct-NP-Abliterated license:apache-2.0 endpoints_compatible

Related

Total size
327 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-01-02 02:59

Files by quantization

Q6_K 1 file 25.0 GB
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-Q6_K.gguf 25.0 GB d14dbb67 download
Q5_K 2 files 42.7 GB
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-Q5_K_M.gguf 21.7 GB c94dddba download
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-Q5_K_S.gguf 21.1 GB 8101b23b download
Q4 2 files 36.6 GB
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-Q4_1.gguf 19.2 GB f37824c0 download
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-Q4_0.gguf 17.4 GB 55680772 download
Q4_K 2 files 36.0 GB
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-Q4_K_M.gguf 18.5 GB 750f9000 download
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-Q4_K_S.gguf 17.5 GB 532feaae download
IQ4 1 file 16.5 GB
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-IQ4_XS.gguf 16.5 GB 9786ab75 download
Q3_K 3 files 44.3 GB
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-Q3_K_L.gguf 16.1 GB 40348d0c download
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-Q3_K_M.gguf 14.8 GB 7975753b download
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-Q3_K_S.gguf 13.4 GB 54e5cd3f download
IQ3 4 files 52.0 GB
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-IQ3_M.gguf 13.8 GB 4bdf0fe9 download
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-IQ3_S.gguf 13.4 GB f774888a download
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-IQ3_XS.gguf 12.8 GB b07679b8 download
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-IQ3_XXS.gguf 12.0 GB f4e4b0ea download
Q2_K 2 files 22.2 GB
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-Q2_K.gguf 11.5 GB 58cc19dc download
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-Q2_K_S.gguf 10.7 GB 430d5c5d download
IQ2 4 files 37.8 GB
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-IQ2_M.gguf 10.5 GB 2c553b33 download
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-IQ2_S.gguf 9.67 GB 01d46a60 download
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-IQ2_XS.gguf 9.27 GB b9657793 download
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-IQ2_XXS.gguf 8.41 GB 6ee5fec8 download
IQ1 2 files 14.2 GB
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-IQ1_M.gguf 7.39 GB 41be6571 download
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.i1-IQ1_S.gguf 6.77 GB c38d697a download
Auxiliary files 3 files 14.3 MB
Qwen2.5-Coder-32B-Instruct-NP-Abliterated.imatrix.gguf 14.3 MB ecfd0b51 download
README.md 7.03 KB f40b5b4f download
.gitattributes 3.65 KB c2143cb2 download

README current version from Hugging Face


base_model: Nabbers1999/Qwen2.5-Coder-32B-Instruct-NP-Abliterated
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • qwen
  • qwen-2.5
  • text-generation
  • conversational
  • abliterated

About

weighted/imatrix quants of https://huggingface.co/Nabbers1999/Qwen2.5-Coder-32B-Instruct-NP-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-32B-Instruct-NP-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 7.4 for the desperate
GGUF i1-IQ1_M 8.0 mostly desperate
GGUF i1-IQ2_XXS 9.1
GGUF i1-IQ2_XS 10.1
GGUF i1-IQ2_S 10.5
GGUF i1-IQ2_M 11.4
GGUF i1-Q2_K_S 11.6 very low quality
GGUF i1-Q2_K 12.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 12.9 lower quality
GGUF i1-IQ3_XS 13.8
GGUF i1-Q3_K_S 14.5 IQ3_XS probably better
GGUF i1-IQ3_S 14.5 beats Q3_K*
GGUF i1-IQ3_M 14.9
GGUF i1-Q3_K_M 16.0 IQ3_S probably better
GGUF i1-Q3_K_L 17.3 IQ3_M probably better
GGUF i1-IQ4_XS 17.8
GGUF i1-Q4_0 18.8 fast, low quality
GGUF i1-Q4_K_S 18.9 optimal size/speed/quality
GGUF i1-Q4_K_M 20.0 fast, recommended
GGUF i1-Q4_1 20.7
GGUF i1-Q5_K_S 22.7
GGUF i1-Q5_K_M 23.4
GGUF i1-Q6_K 27.0 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. 2026-01-02auto-patch README.md2b4666d7 KB
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  2. 2026-01-02auto-patch README.md354463b5.7 KB
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  3. 2026-01-02auto-patch README.md27fbbc23.1 KB
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  4. 2026-01-02uploaded from nico1ee8c094499 B
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