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mradermacher/Qwen3-VL-8B-Instruct-Uncensored-i1-GGUF

mradermacher Qwen 8B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 3,127
  • 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='Felldude/Qwen3-VL-8B-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.

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Downloads · lifetime
3K
666 last 30d - stable
Likes
0
Model age
6mo ago
created 2026-03-17
Downloads over time
Now3.3K→from680↑379%
5511.5K2.5K3.5K680 on Mar 183.3K on Oct 11MarAprMayJunJulAugSepOct
Mar 18 → Oct 11 · 69 snapshots · spans 207 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 es ja
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf en es ja base_model:Felldude/Qwen3-VL-8B-Instruct-Uncensored base_model:quantized:Felldude/Qwen3-VL-8B-Instruct-Uncensored license:apache-2.0 endpoints_compatible region:us imatrix conversational

Related

Total size
89.8 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-03-17 07:41

Files by quantization

Q6_K 1 file 6.26 GB
Qwen3-VL-8B-Instruct-Uncensored.i1-Q6_K.gguf 6.26 GB d0a80cfe download
Q5_K 2 files 10.8 GB
Qwen3-VL-8B-Instruct-Uncensored.i1-Q5_K_M.gguf 5.45 GB 21f99ab7 download
Qwen3-VL-8B-Instruct-Uncensored.i1-Q5_K_S.gguf 5.33 GB f1f921c5 download
Q4 2 files 9.35 GB
Qwen3-VL-8B-Instruct-Uncensored.i1-Q4_1.gguf 4.89 GB 90bdc379 download
Qwen3-VL-8B-Instruct-Uncensored.i1-Q4_0.gguf 4.46 GB 8277a87a download
Q4_K 2 files 9.15 GB
Qwen3-VL-8B-Instruct-Uncensored.i1-Q4_K_M.gguf 4.68 GB 0b97a054 download
Qwen3-VL-8B-Instruct-Uncensored.i1-Q4_K_S.gguf 4.47 GB d26b426c download
IQ4 2 files 8.71 GB
Qwen3-VL-8B-Instruct-Uncensored.i1-IQ4_NL.gguf 4.46 GB 9f278ba2 download
Qwen3-VL-8B-Instruct-Uncensored.i1-IQ4_XS.gguf 4.25 GB a093dd38 download
Q3_K 3 files 11.5 GB
Qwen3-VL-8B-Instruct-Uncensored.i1-Q3_K_L.gguf 4.13 GB e877e3ff download
Qwen3-VL-8B-Instruct-Uncensored.i1-Q3_K_M.gguf 3.84 GB eb916216 download
Qwen3-VL-8B-Instruct-Uncensored.i1-Q3_K_S.gguf 3.51 GB 4ac81faa download
IQ3 4 files 13.7 GB
Qwen3-VL-8B-Instruct-Uncensored.i1-IQ3_M.gguf 3.63 GB b2f47400 download
Qwen3-VL-8B-Instruct-Uncensored.i1-IQ3_S.gguf 3.53 GB 769088ac download
Qwen3-VL-8B-Instruct-Uncensored.i1-IQ3_XS.gguf 3.38 GB 8aed857c download
Qwen3-VL-8B-Instruct-Uncensored.i1-IQ3_XXS.gguf 3.14 GB 291b5428 download
Q2_K 2 files 5.93 GB
Qwen3-VL-8B-Instruct-Uncensored.i1-Q2_K.gguf 3.06 GB c98416e6 download
Qwen3-VL-8B-Instruct-Uncensored.i1-Q2_K_S.gguf 2.87 GB 453a01d6 download
IQ2 4 files 10.3 GB
Qwen3-VL-8B-Instruct-Uncensored.i1-IQ2_M.gguf 2.84 GB a85595d7 download
Qwen3-VL-8B-Instruct-Uncensored.i1-IQ2_S.gguf 2.67 GB 7144c51e download
Qwen3-VL-8B-Instruct-Uncensored.i1-IQ2_XS.gguf 2.51 GB fa8aaf7b download
Qwen3-VL-8B-Instruct-Uncensored.i1-IQ2_XXS.gguf 2.32 GB 91ad9a0a download
IQ1 2 files 4.07 GB
Qwen3-VL-8B-Instruct-Uncensored.i1-IQ1_M.gguf 2.10 GB 1f9f20d0 download
Qwen3-VL-8B-Instruct-Uncensored.i1-IQ1_S.gguf 1.97 GB 11052ffa download
Auxiliary files 3 files 5.11 MB
Qwen3-VL-8B-Instruct-Uncensored.imatrix.gguf 5.10 MB 84434f02 download
README.md 6.77 KB 9a840324 download
.gitattributes 3.50 KB 50685ed8 download

README current version from Hugging Face


base_model: Felldude/Qwen3-VL-8B-Instruct-Uncensored
language:

  • en
  • es
  • ja
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/Felldude/Qwen3-VL-8B-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-8B-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 2.2 for the desperate
GGUF i1-IQ1_M 2.4 mostly desperate
GGUF i1-IQ2_XXS 2.6
GGUF i1-IQ2_XS 2.8
GGUF i1-IQ2_S 3.0
GGUF i1-IQ2_M 3.2
GGUF i1-Q2_K_S 3.2 very low quality
GGUF i1-Q2_K 3.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.5 lower quality
GGUF i1-IQ3_XS 3.7
GGUF i1-Q3_K_S 3.9 IQ3_XS probably better
GGUF i1-IQ3_S 3.9 beats Q3_K*
GGUF i1-IQ3_M 4.0
GGUF i1-Q3_K_M 4.2 IQ3_S probably better
GGUF i1-Q3_K_L 4.5 IQ3_M probably better
GGUF i1-IQ4_XS 4.7
GGUF i1-Q4_0 4.9 fast, low quality
GGUF i1-IQ4_NL 4.9 prefer IQ4_XS
GGUF i1-Q4_K_S 4.9 optimal size/speed/quality
GGUF i1-Q4_K_M 5.1 fast, recommended
GGUF i1-Q4_1 5.3
GGUF i1-Q5_K_S 5.8
GGUF i1-Q5_K_M 6.0
GGUF i1-Q6_K 6.8 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 2 versions

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

  1. 2026-03-17auto-patch README.md75bd89c6.8 KB
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  2. 2026-03-17uploaded from nico1ee7734c486 B
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