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mradermacher/qqWen-32B-RL-Reasoning-abliterated-i1-GGUF

mradermacher 32B GGUF second-order 33K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 6,007
  • 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='nicoboss/qqWen-32B-RL-Reasoning-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
6K
644 last 30d - stable
Likes
0
Model age
13mo ago
created 2025-08-21
Downloads over time
Now6.2K→from299↑1,964%
52.3K4.5K6.8K299 on Aug 20, 20256.2K on Oct 11Aug '25Oct '25Dec '25FebAprJunAugOct
Aug 20, 2025 → Oct 11 · 99 snapshots · spans 417 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

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf en base_model:nicoboss/qqWen-32B-RL-Reasoning-abliterated base_model:quantized:nicoboss/qqWen-32B-RL-Reasoning-abliterated endpoints_compatible region:us imatrix conversational

Related

Total size
327 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-16 02:57

Files by quantization

Q6_K 1 file 25.0 GB
qqWen-32B-RL-Reasoning-abliterated.i1-Q6_K.gguf 25.0 GB 7d808ee2 download
Q5_K 2 files 42.7 GB
qqWen-32B-RL-Reasoning-abliterated.i1-Q5_K_M.gguf 21.7 GB 4b667eb6 download
qqWen-32B-RL-Reasoning-abliterated.i1-Q5_K_S.gguf 21.1 GB d411392d download
Q4 2 files 36.6 GB
qqWen-32B-RL-Reasoning-abliterated.i1-Q4_1.gguf 19.2 GB 99d163a7 download
qqWen-32B-RL-Reasoning-abliterated.i1-Q4_0.gguf 17.4 GB 5f7badc0 download
Q4_K 2 files 36.0 GB
qqWen-32B-RL-Reasoning-abliterated.i1-Q4_K_M.gguf 18.5 GB 7f5435f8 download
qqWen-32B-RL-Reasoning-abliterated.i1-Q4_K_S.gguf 17.5 GB 59e5801e download
IQ4 1 file 16.5 GB
qqWen-32B-RL-Reasoning-abliterated.i1-IQ4_XS.gguf 16.5 GB e5c68919 download
Q3_K 3 files 44.3 GB
qqWen-32B-RL-Reasoning-abliterated.i1-Q3_K_L.gguf 16.1 GB 43f73888 download
qqWen-32B-RL-Reasoning-abliterated.i1-Q3_K_M.gguf 14.8 GB 55dc424f download
qqWen-32B-RL-Reasoning-abliterated.i1-Q3_K_S.gguf 13.4 GB bd41f1e5 download
IQ3 4 files 52.0 GB
qqWen-32B-RL-Reasoning-abliterated.i1-IQ3_M.gguf 13.8 GB 68c8165a download
qqWen-32B-RL-Reasoning-abliterated.i1-IQ3_S.gguf 13.4 GB 6400e36f download
qqWen-32B-RL-Reasoning-abliterated.i1-IQ3_XS.gguf 12.8 GB 1badcf7f download
qqWen-32B-RL-Reasoning-abliterated.i1-IQ3_XXS.gguf 12.0 GB 758c1631 download
Q2_K 2 files 22.2 GB
qqWen-32B-RL-Reasoning-abliterated.i1-Q2_K.gguf 11.5 GB 15f898fc download
qqWen-32B-RL-Reasoning-abliterated.i1-Q2_K_S.gguf 10.7 GB 0aac3fc8 download
IQ2 4 files 37.8 GB
qqWen-32B-RL-Reasoning-abliterated.i1-IQ2_M.gguf 10.5 GB dcb5f716 download
qqWen-32B-RL-Reasoning-abliterated.i1-IQ2_S.gguf 9.67 GB 62e441ca download
qqWen-32B-RL-Reasoning-abliterated.i1-IQ2_XS.gguf 9.27 GB 1350a6ad download
qqWen-32B-RL-Reasoning-abliterated.i1-IQ2_XXS.gguf 8.41 GB 61e94fab download
IQ1 2 files 14.2 GB
qqWen-32B-RL-Reasoning-abliterated.i1-IQ1_M.gguf 7.39 GB 27d98040 download
qqWen-32B-RL-Reasoning-abliterated.i1-IQ1_S.gguf 6.77 GB 8507afd3 download
Auxiliary files 3 files 14.3 MB
qqWen-32B-RL-Reasoning-abliterated.imatrix.gguf 14.3 MB 38debcb6 download
README.md 6.57 KB 07772be3 download
.gitattributes 3.49 KB 269487f9 download

README current version from Hugging Face


base_model: nicoboss/qqWen-32B-RL-Reasoning-abliterated
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/nicoboss/qqWen-32B-RL-Reasoning-abliterated

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

static quants are available at https://huggingface.co/mradermacher/qqWen-32B-RL-Reasoning-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 3 versions

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

  1. 2025-12-16auto-patch README.mdbd36bed6.6 KB
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  2. 2025-08-22auto-patch README.mda1ad1cc6.6 KB
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  3. 2025-08-21uploaded from nico1bcdc458488 B
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