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mradermacher/Qwen3-VL-8B-Instruct-abliterated-v1-i1-GGUF

mradermacher Qwen 8B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 4,427
  • 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='prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v1' (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
4K
744 last 30d - stable
Likes
1
Model age
11mo ago
created 2025-11-14
Downloads over time
Now4.7K→from317↑1,388%
971.8K3.5K5.2K317 on Nov 12, 20254.7K on Oct 11Nov '25JanMarMayJulSep
Nov 12, 2025 → Oct 11 · 87 snapshots · spans 333 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
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf text-generation-inference abliterated v1.0 en base_model:prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v1 base_model:quantized:prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v1 license:apache-2.0 endpoints_compatible region:us imatrix

Related

Total size
89.8 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-05 06:23

Files by quantization

Q6_K 1 file 6.26 GB
Qwen3-VL-8B-Instruct-abliterated-v1.i1-Q6_K.gguf 6.26 GB 268263d8 download
Q5_K 2 files 10.8 GB
Qwen3-VL-8B-Instruct-abliterated-v1.i1-Q5_K_M.gguf 5.45 GB 93ae6bec download
Qwen3-VL-8B-Instruct-abliterated-v1.i1-Q5_K_S.gguf 5.33 GB b2af38f8 download
Q4 2 files 9.35 GB
Qwen3-VL-8B-Instruct-abliterated-v1.i1-Q4_1.gguf 4.89 GB 0194b65b download
Qwen3-VL-8B-Instruct-abliterated-v1.i1-Q4_0.gguf 4.46 GB c023ffa1 download
Q4_K 2 files 9.15 GB
Qwen3-VL-8B-Instruct-abliterated-v1.i1-Q4_K_M.gguf 4.68 GB 1ce5f37a download
Qwen3-VL-8B-Instruct-abliterated-v1.i1-Q4_K_S.gguf 4.47 GB 8d2acca2 download
IQ4 2 files 8.71 GB
Qwen3-VL-8B-Instruct-abliterated-v1.i1-IQ4_NL.gguf 4.46 GB 2ac598e9 download
Qwen3-VL-8B-Instruct-abliterated-v1.i1-IQ4_XS.gguf 4.25 GB cee5a003 download
Q3_K 3 files 11.5 GB
Qwen3-VL-8B-Instruct-abliterated-v1.i1-Q3_K_L.gguf 4.13 GB 4edecb70 download
Qwen3-VL-8B-Instruct-abliterated-v1.i1-Q3_K_M.gguf 3.84 GB b1cc5ece download
Qwen3-VL-8B-Instruct-abliterated-v1.i1-Q3_K_S.gguf 3.51 GB 4119e6a1 download
IQ3 4 files 13.7 GB
Qwen3-VL-8B-Instruct-abliterated-v1.i1-IQ3_M.gguf 3.63 GB c02817fe download
Qwen3-VL-8B-Instruct-abliterated-v1.i1-IQ3_S.gguf 3.53 GB 00082605 download
Qwen3-VL-8B-Instruct-abliterated-v1.i1-IQ3_XS.gguf 3.38 GB e96a286a download
Qwen3-VL-8B-Instruct-abliterated-v1.i1-IQ3_XXS.gguf 3.14 GB 298b067c download
Q2_K 2 files 5.93 GB
Qwen3-VL-8B-Instruct-abliterated-v1.i1-Q2_K.gguf 3.06 GB f4714a28 download
Qwen3-VL-8B-Instruct-abliterated-v1.i1-Q2_K_S.gguf 2.87 GB fd840bd2 download
IQ2 4 files 10.3 GB
Qwen3-VL-8B-Instruct-abliterated-v1.i1-IQ2_M.gguf 2.84 GB 35b246ca download
Qwen3-VL-8B-Instruct-abliterated-v1.i1-IQ2_S.gguf 2.67 GB ea9a59a8 download
Qwen3-VL-8B-Instruct-abliterated-v1.i1-IQ2_XS.gguf 2.51 GB 5b3bb3e9 download
Qwen3-VL-8B-Instruct-abliterated-v1.i1-IQ2_XXS.gguf 2.32 GB 4e5bd117 download
IQ1 2 files 4.07 GB
Qwen3-VL-8B-Instruct-abliterated-v1.i1-IQ1_M.gguf 2.10 GB 171a4cf1 download
Qwen3-VL-8B-Instruct-abliterated-v1.i1-IQ1_S.gguf 1.97 GB d1f5d7b8 download
Auxiliary files 3 files 5.11 MB
Qwen3-VL-8B-Instruct-abliterated-v1.imatrix.gguf 5.10 MB adfc878c download
README.md 7.04 KB 369ac369 download
.gitattributes 3.59 KB da79c6dc download

README current version from Hugging Face


base_model: prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v1
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • text-generation-inference
  • abliterated
  • v1.0

About

weighted/imatrix quants of https://huggingface.co/prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v1

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-abliterated-v1-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 5 versions

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

  1. 2025-12-05auto-patch README.md579c0af7 KB
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  2. 2025-11-14auto-patch README.mdb380e997 KB
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  3. 2025-11-14auto-patch README.md008709b4.1 KB
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  4. 2025-11-14auto-patch README.md6883ae74 KB
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  5. 2025-11-14uploaded from nico184328b1495 B
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