← back to catalog · registered 2026-08-31 10:03

mradermacher/granite-4.2-8b-decensored-GGUF

mradermacher 8B GGUF
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%2Fgranite-4.2-8b-decensored-GGUF"
Response includes
  • classification m8
  • files 14
  • author_summary 3344 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)

No other method signals detected in this model.
Confidence
HIGH
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)
  • is_gguf=1
  • base_model='qcokvd1/granite-4.2-8b-decensored' (source unknown method)
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 · 30-day
317
Likes
0
Model age
6w ago
created 2026-08-31
Downloads over time
Now820→from0↑0%
03016019020 on Aug 31820 on Oct 16AugSepOct
Aug 31 → Oct 16 · 47 snapshots · spans 46 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
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf granite uncensored abliterated heretic en base_model:qcokvd1/granite-4.2-8b-decensored base_model:quantized:qcokvd1/granite-4.2-8b-decensored license:apache-2.0 endpoints_compatible region:us

Related

Total size
72.8 GB
Files
14
Quantizations
9
Registered
2026-08-31 10:03
Last updated on HF
2026-08-31 10:41

Files by quantization

F16 1 file 16.4 GB
granite-4.2-8b-decensored.f16.gguf 16.4 GB 57d8022a download
Q8_0 1 file 8.70 GB
granite-4.2-8b-decensored.Q8_0.gguf 8.70 GB 6a8b672b download
Q6_K 1 file 6.72 GB
granite-4.2-8b-decensored.Q6_K.gguf 6.72 GB bdb4414d download
Q5_K 2 files 11.5 GB
granite-4.2-8b-decensored.Q5_K_M.gguf 5.82 GB e6278261 download
granite-4.2-8b-decensored.Q5_K_S.gguf 5.68 GB 490d2999 download
Q4_K 2 files 9.72 GB
granite-4.2-8b-decensored.Q4_K_M.gguf 4.98 GB cb2e4d3b download
granite-4.2-8b-decensored.Q4_K_S.gguf 4.74 GB 4005ad17 download
IQ4 1 file 4.53 GB
granite-4.2-8b-decensored.IQ4_XS.gguf 4.53 GB a35093d6 download
Q3_K 3 files 12.1 GB
granite-4.2-8b-decensored.Q3_K_L.gguf 4.38 GB 7f2f75bc download
granite-4.2-8b-decensored.Q3_K_M.gguf 4.05 GB aa13ab66 download
granite-4.2-8b-decensored.Q3_K_S.gguf 3.67 GB a824e9a2 download
Q2_K 1 file 3.18 GB
granite-4.2-8b-decensored.Q2_K.gguf 3.18 GB 45cb7e7d download
Auxiliary files 2 files 5.45 KB
README.md 3.11 KB 65834e66 download
.gitattributes 2.34 KB 775d8f9a download

README current version from Hugging Face


base_model: qcokvd1/granite-4.2-8b-decensored
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • granite
  • uncensored
  • abliterated
  • heretic

About

static quants of https://huggingface.co/qcokvd1/granite-4.2-8b-decensored

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

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 3.5
GGUF Q3_K_S 4.0
GGUF Q3_K_M 4.4 lower quality
GGUF Q4_K_S 5.2 fast, recommended
GGUF Q6_K 7.3 very good quality
GGUF Q8_0 9.4 fast, best quality
GGUF f16 17.7 16 bpw, overkill

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. 2026-08-31auto-patch README.mde0f72a23.7 KB
    Loading...
  2. 2026-08-31auto-patch README.md7659eda3.1 KB
    Loading...
  3. 2026-08-31uploaded from marco96d818f376 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