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

mradermacher/Warlock-7B-v3-Uncensored-i1-GGUF

mradermacher Mistral 7B 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%2FWarlock-7B-v3-Uncensored-i1-GGUF"
Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 5,823
  • 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='Naphula/Warlock-7B-v3-Uncensored' (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
6K
1K last 30d - stable
Likes
3
Model age
8mo ago
created 2026-01-19
Downloads over time
Now6.1K→from566↑985%
2872.4K4.6K6.7K566 on Jan 216.1K on Oct 11JanMarMayJulSep
Jan 21 → Oct 11 · 77 snapshots · spans 263 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 karcher mistral merge mergekit en base_model:Naphula/Warlock-7B-v3-Uncensored base_model:quantized:Naphula/Warlock-7B-v3-Uncensored license:apache-2.0 endpoints_compatible region:us

Related

Total size
76.1 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-01-19 08:00

Files by quantization

Q6_K 1 file 5.53 GB
Warlock-7B-v3-Uncensored.i1-Q6_K.gguf 5.53 GB 6b01765e download
Q5_K 2 files 9.43 GB
Warlock-7B-v3-Uncensored.i1-Q5_K_M.gguf 4.78 GB c8f7e276 download
Warlock-7B-v3-Uncensored.i1-Q5_K_S.gguf 4.65 GB 66701495 download
Q4 2 files 8.08 GB
Warlock-7B-v3-Uncensored.i1-Q4_1.gguf 4.24 GB f834e7ff download
Warlock-7B-v3-Uncensored.i1-Q4_0.gguf 3.84 GB 6d95e094 download
Q4_K 2 files 7.92 GB
Warlock-7B-v3-Uncensored.i1-Q4_K_M.gguf 4.07 GB 2e2541b0 download
Warlock-7B-v3-Uncensored.i1-Q4_K_S.gguf 3.86 GB 2bafe336 download
IQ4 2 files 7.48 GB
Warlock-7B-v3-Uncensored.i1-IQ4_NL.gguf 3.84 GB 9581f413 download
Warlock-7B-v3-Uncensored.i1-IQ4_XS.gguf 3.64 GB 573de3b7 download
Q3_K 3 files 9.78 GB
Warlock-7B-v3-Uncensored.i1-Q3_K_L.gguf 3.56 GB 11644f6d download
Warlock-7B-v3-Uncensored.i1-Q3_K_M.gguf 3.28 GB c2e411ad download
Warlock-7B-v3-Uncensored.i1-Q3_K_S.gguf 2.95 GB e5ecf959 download
IQ3 4 files 11.5 GB
Warlock-7B-v3-Uncensored.i1-IQ3_M.gguf 3.06 GB 6ce5fc85 download
Warlock-7B-v3-Uncensored.i1-IQ3_S.gguf 2.96 GB 88100869 download
Warlock-7B-v3-Uncensored.i1-IQ3_XS.gguf 2.81 GB cd1db763 download
Warlock-7B-v3-Uncensored.i1-IQ3_XXS.gguf 2.63 GB 972aaca1 download
Q2_K 2 files 4.89 GB
Warlock-7B-v3-Uncensored.i1-Q2_K.gguf 2.53 GB a4b73e9d download
Warlock-7B-v3-Uncensored.i1-Q2_K_S.gguf 2.36 GB 7fbfae29 download
IQ2 4 files 8.38 GB
Warlock-7B-v3-Uncensored.i1-IQ2_M.gguf 2.33 GB 1e3dc98b download
Warlock-7B-v3-Uncensored.i1-IQ2_S.gguf 2.15 GB 1b5676db download
Warlock-7B-v3-Uncensored.i1-IQ2_XS.gguf 2.05 GB 3539b3e6 download
Warlock-7B-v3-Uncensored.i1-IQ2_XXS.gguf 1.85 GB 5c4c1085 download
IQ1 2 files 3.14 GB
Warlock-7B-v3-Uncensored.i1-IQ1_M.gguf 1.63 GB 59761721 download
Warlock-7B-v3-Uncensored.i1-IQ1_S.gguf 1.50 GB 79967781 download
Auxiliary files 3 files 4.79 MB
Warlock-7B-v3-Uncensored.imatrix.gguf 4.78 MB f64a01c0 download
README.md 6.27 KB 0e4d443c download
.gitattributes 3.33 KB 739a1562 download

README current version from Hugging Face


base_model: Naphula/Warlock-7B-v3-Uncensored
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • karcher
  • mistral
  • merge
  • mergekit

About

weighted/imatrix quants of https://huggingface.co/Naphula/Warlock-7B-v3-Uncensored

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

static quants are available at https://huggingface.co/mradermacher/Warlock-7B-v3-Uncensored-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 1.7 for the desperate
GGUF i1-IQ1_M 1.9 mostly desperate
GGUF i1-IQ2_XXS 2.1
GGUF i1-IQ2_XS 2.3
GGUF i1-IQ2_S 2.4
GGUF i1-IQ2_M 2.6
GGUF i1-Q2_K_S 2.6 very low quality
GGUF i1-Q2_K 2.8 IQ3_XXS probably better
GGUF i1-IQ3_XXS 2.9 lower quality
GGUF i1-IQ3_XS 3.1
GGUF i1-Q3_K_S 3.3 IQ3_XS probably better
GGUF i1-IQ3_S 3.3 beats Q3_K*
GGUF i1-IQ3_M 3.4
GGUF i1-Q3_K_M 3.6 IQ3_S probably better
GGUF i1-Q3_K_L 3.9 IQ3_M probably better
GGUF i1-IQ4_XS 4.0
GGUF i1-Q4_0 4.2 fast, low quality
GGUF i1-IQ4_NL 4.2 prefer IQ4_XS
GGUF i1-Q4_K_S 4.2 optimal size/speed/quality
GGUF i1-Q4_K_M 4.5 fast, recommended
GGUF i1-Q4_1 4.7
GGUF i1-Q5_K_S 5.1
GGUF i1-Q5_K_M 5.2
GGUF i1-Q6_K 6.0 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 6 versions

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

  1. 2026-01-19auto-patch README.mdc428c5b6.3 KB
    Loading...
  2. 2026-01-19auto-patch README.md55fb7cd5.8 KB
    Loading...
  3. 2026-01-19auto-patch README.md9beb58d2.9 KB
    Loading...
  4. 2026-01-19auto-patch README.md745b36a2.6 KB
    Loading...
  5. 2026-01-19auto-patch README.mdea69a272.4 KB
    Loading...
  6. 2026-01-19uploaded from marcofbe9c91478 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