← back to catalog · registered 2026-08-22 13:56

mradermacher/QwQ-32B-Preview-abliterated-linear50-GGUF

mradermacher Qwen 32B GGUF second-order 33K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FQwQ-32B-Preview-abliterated-linear50-GGUF"
Response includes
  • classification m8
  • files 13
  • hub_downloads_all_time 1,356
  • author_summary 3324 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
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='pipihand01/QwQ-32B-Preview-abliterated-linear50' (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.

What is a refusal direction? →
Downloads · lifetime
1K
248 last 30d - stable
Likes
0
Model age
21mo ago
created 2025-01-03
Downloads over time
Now1.4K→from289↑400%
05291.1K1.6K289 on Jan 1, 20251.4K on Oct 11Jan '25Apr '25Jul '25Oct '25JanAprJulOct
Jan 1, 2025 → Oct 11 · 132 snapshots · spans 648 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.

Metadata

License
apache-2.0
Languages
en
Quantizations
IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf chat abliterated uncensored mergekit merge en base_model:pipihand01/QwQ-32B-Preview-abliterated-linear50 base_model:quantized:pipihand01/QwQ-32B-Preview-abliterated-linear50 license:apache-2.0 endpoints_compatible

Related

Total size
209 GB
Files
13
Quantizations
8
Registered
2026-08-22 13:56
Last updated on HF
2025-01-03 05:15

Files by quantization

Q8_0 1 file 32.4 GB
QwQ-32B-Preview-abliterated-linear50.Q8_0.gguf 32.4 GB 79b375f2 download
Q6_K 1 file 25.0 GB
QwQ-32B-Preview-abliterated-linear50.Q6_K.gguf 25.0 GB c2a849cc download
Q5_K 2 files 42.7 GB
QwQ-32B-Preview-abliterated-linear50.Q5_K_M.gguf 21.7 GB f45ded79 download
QwQ-32B-Preview-abliterated-linear50.Q5_K_S.gguf 21.1 GB 6513df04 download
Q4_K 2 files 36.0 GB
QwQ-32B-Preview-abliterated-linear50.Q4_K_M.gguf 18.5 GB 92e08298 download
QwQ-32B-Preview-abliterated-linear50.Q4_K_S.gguf 17.5 GB 2613e897 download
IQ4 1 file 16.6 GB
QwQ-32B-Preview-abliterated-linear50.IQ4_XS.gguf 16.6 GB 2cdd81eb download
Q3_K 3 files 44.3 GB
QwQ-32B-Preview-abliterated-linear50.Q3_K_L.gguf 16.1 GB fdc85f71 download
QwQ-32B-Preview-abliterated-linear50.Q3_K_M.gguf 14.8 GB 5f97fc50 download
QwQ-32B-Preview-abliterated-linear50.Q3_K_S.gguf 13.4 GB 43ac7e4b download
Q2_K 1 file 11.5 GB
QwQ-32B-Preview-abliterated-linear50.Q2_K.gguf 11.5 GB 7a67fc02 download
Auxiliary files 2 files 6.14 KB
README.md 3.75 KB f247d65b download
.gitattributes 2.39 KB e7c4064d download

README current version from Hugging Face


base_model: pipihand01/QwQ-32B-Preview-abliterated-linear50
language:


About

static quants of https://huggingface.co/pipihand01/QwQ-32B-Preview-abliterated-linear50

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 Q2_K 12.4
GGUF Q3_K_S 14.5
GGUF Q3_K_M 16.0 lower quality
GGUF Q3_K_L 17.3
GGUF IQ4_XS 18.0
GGUF Q4_K_S 18.9 fast, recommended
GGUF Q4_K_M 20.0 fast, recommended
GGUF Q5_K_S 22.7
GGUF Q5_K_M 23.4
GGUF Q6_K 27.0 very good quality
GGUF Q8_0 34.9 fast, best quality

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.

README history 3 versions

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

  1. 2025-01-03auto-patch README.mdb56b7ef3.8 KB
    Loading...
  2. 2025-01-03auto-patch README.md9b0b1cd3.3 KB
    Loading...
  3. 2025-01-03uploaded from marcod00b88d237 B
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration