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

mradermacher/Qwen3-VL-4B-Instruct-Uncensored-i1-GGUF

mradermacher Qwen 4B GGUF multimodal second-order 262K 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%2FQwen3-VL-4B-Instruct-Uncensored-i1-GGUF"
Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 10,008
  • 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='Felldude/Qwen3-VL-4B-Instruct-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
10K
1K last 30d - stable
Likes
6
Model age
3mo ago
created 2026-06-29
Downloads over time
Now10.3K→from2.9K↑259%
2.5K5.3K8.2K11K2.9K on Jul 110.3K on Oct 11JulAugSepOct
Jul 1 → Oct 11 · 54 snapshots · spans 102 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 · 3K 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 fp32 vision qwen qwen3 vl image to text en base_model:Felldude/Qwen3-VL-4B-Instruct-Uncensored base_model:quantized:Felldude/Qwen3-VL-4B-Instruct-Uncensored license:apache-2.0 endpoints_compatible

Related

Total size
44.7 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-07-01 12:14

Files by quantization

Q6_K 1 file 3.08 GB
Qwen3-VL-4B-Instruct-Uncensored.i1-Q6_K.gguf 3.08 GB bcbe69ff download
Q5_K 2 files 5.32 GB
Qwen3-VL-4B-Instruct-Uncensored.i1-Q5_K_M.gguf 2.69 GB 7ce7da0d download
Qwen3-VL-4B-Instruct-Uncensored.i1-Q5_K_S.gguf 2.63 GB f8c8d99e download
Q4 2 files 4.63 GB
Qwen3-VL-4B-Instruct-Uncensored.i1-Q4_1.gguf 2.42 GB fbe90f23 download
Qwen3-VL-4B-Instruct-Uncensored.i1-Q4_0.gguf 2.21 GB 802491d1 download
Q4_K 2 files 4.55 GB
Qwen3-VL-4B-Instruct-Uncensored.i1-Q4_K_M.gguf 2.33 GB d22bb231 download
Qwen3-VL-4B-Instruct-Uncensored.i1-Q4_K_S.gguf 2.22 GB a8ceb0b7 download
IQ4 2 files 4.33 GB
Qwen3-VL-4B-Instruct-Uncensored.i1-IQ4_NL.gguf 2.22 GB 5d6a57bf download
Qwen3-VL-4B-Instruct-Uncensored.i1-IQ4_XS.gguf 2.11 GB 90297cb1 download
Q3_K 3 files 5.78 GB
Qwen3-VL-4B-Instruct-Uncensored.i1-Q3_K_L.gguf 2.09 GB 5788ee52 download
Qwen3-VL-4B-Instruct-Uncensored.i1-Q3_K_M.gguf 1.93 GB ea779a2d download
Qwen3-VL-4B-Instruct-Uncensored.i1-Q3_K_S.gguf 1.76 GB 3cef1900 download
IQ3 4 files 6.84 GB
Qwen3-VL-4B-Instruct-Uncensored.i1-IQ3_M.gguf 1.83 GB 7f7a07ee download
Qwen3-VL-4B-Instruct-Uncensored.i1-IQ3_S.gguf 1.77 GB b4ea4041 download
Qwen3-VL-4B-Instruct-Uncensored.i1-IQ3_XS.gguf 1.69 GB 01cda3f1 download
Qwen3-VL-4B-Instruct-Uncensored.i1-IQ3_XXS.gguf 1.56 GB e224a914 download
Q2_K 2 files 3.01 GB
Qwen3-VL-4B-Instruct-Uncensored.i1-Q2_K.gguf 1.55 GB 2d7c296b download
Qwen3-VL-4B-Instruct-Uncensored.i1-Q2_K_S.gguf 1.46 GB 03019d97 download
IQ2 4 files 5.15 GB
Qwen3-VL-4B-Instruct-Uncensored.i1-IQ2_M.gguf 1.41 GB d023e0fa download
Qwen3-VL-4B-Instruct-Uncensored.i1-IQ2_S.gguf 1.32 GB 391cf9a1 download
Qwen3-VL-4B-Instruct-Uncensored.i1-IQ2_XS.gguf 1.26 GB 9fba9b36 download
Qwen3-VL-4B-Instruct-Uncensored.i1-IQ2_XXS.gguf 1.16 GB cce24cf3 download
IQ1 2 files 2.03 GB
Qwen3-VL-4B-Instruct-Uncensored.i1-IQ1_M.gguf 1.05 GB 29184916 download
Qwen3-VL-4B-Instruct-Uncensored.i1-IQ1_S.gguf 1006 MB 3cc02946 download
Auxiliary files 3 files 3.70 MB
Qwen3-VL-4B-Instruct-Uncensored.imatrix.gguf 3.69 MB cc259d54 download
README.md 6.81 KB 9d7832f0 download
.gitattributes 3.50 KB b7693e86 download

README current version from Hugging Face


base_model: Felldude/Qwen3-VL-4B-Instruct-Uncensored
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • fp32
  • vision
  • qwen
  • qwen3 vl
  • image to text

About

weighted/imatrix quants of https://huggingface.co/Felldude/Qwen3-VL-4B-Instruct-Uncensored

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

static quants are available at https://huggingface.co/mradermacher/Qwen3-VL-4B-Instruct-Uncensored-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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 1.2 for the desperate
GGUF i1-IQ1_M 1.2 mostly desperate
GGUF i1-IQ2_XXS 1.3
GGUF i1-IQ2_XS 1.5
GGUF i1-IQ2_S 1.5
GGUF i1-IQ2_M 1.6
GGUF i1-Q2_K_S 1.7 very low quality
GGUF i1-Q2_K 1.8 IQ3_XXS probably better
GGUF i1-IQ3_XXS 1.8 lower quality
GGUF i1-IQ3_XS 1.9
GGUF i1-Q3_K_S 2.0 IQ3_XS probably better
GGUF i1-IQ3_S 2.0 beats Q3_K*
GGUF i1-IQ3_M 2.1
GGUF i1-Q3_K_M 2.2 IQ3_S probably better
GGUF i1-Q3_K_L 2.3 IQ3_M probably better
GGUF i1-IQ4_XS 2.4
GGUF i1-Q4_0 2.5 fast, low quality
GGUF i1-IQ4_NL 2.5 prefer IQ4_XS
GGUF i1-Q4_K_S 2.5 optimal size/speed/quality
GGUF i1-Q4_K_M 2.6 fast, recommended
GGUF i1-Q4_1 2.7
GGUF i1-Q5_K_S 2.9
GGUF i1-Q5_K_M 3.0
GGUF i1-Q6_K 3.4 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. 2026-07-01auto-patch README.md653ec196.8 KB
    Loading...
  2. 2026-06-30auto-patch README.mdd3bae3c6.7 KB
    Loading...
  3. 2026-06-29auto-patch README.md0d86a346.8 KB
    Loading...
  4. 2026-06-29uploaded from nico14ca7f81486 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