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

mradermacher/Qwen3-VL-8B-Instruct-c_abliterated-v3-i1-GGUF

mradermacher Qwen 8B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 9,821
  • 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-c_abliterated-v3' (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
10K
1K last 30d - stable
Likes
2
Model age
8mo ago
created 2026-02-12
Downloads over time
Now10.2K→from5.8K↑76%
5.5K7.2K8.9K10.6K5.8K on Feb 1110.2K on Oct 12FebAprJunAugOct
Feb 11 → Oct 12 · 75 snapshots · spans 243 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 text-generation-inference c_abliterated v3.0 code refusal en base_model:prithivMLmods/Qwen3-VL-8B-Instruct-c_abliterated-v3 base_model:quantized:prithivMLmods/Qwen3-VL-8B-Instruct-c_abliterated-v3 license:apache-2.0 endpoints_compatible

Related

Total size
89.8 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-02-12 18:28

Files by quantization

Q6_K 1 file 6.26 GB
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-Q6_K.gguf 6.26 GB 6189fc83 download
Q5_K 2 files 10.8 GB
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-Q5_K_M.gguf 5.45 GB d8d29a11 download
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-Q5_K_S.gguf 5.33 GB a4bb4976 download
Q4 2 files 9.35 GB
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-Q4_1.gguf 4.89 GB f62cc7de download
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-Q4_0.gguf 4.46 GB a7605798 download
Q4_K 2 files 9.15 GB
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-Q4_K_M.gguf 4.68 GB 722f65ea download
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-Q4_K_S.gguf 4.47 GB 3f4de3bd download
IQ4 2 files 8.71 GB
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-IQ4_NL.gguf 4.46 GB 68b39f5f download
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-IQ4_XS.gguf 4.25 GB 062c859c download
Q3_K 3 files 11.5 GB
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-Q3_K_L.gguf 4.13 GB c0a697d3 download
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-Q3_K_M.gguf 3.84 GB 03f4d1c1 download
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-Q3_K_S.gguf 3.51 GB 446ee6dc download
IQ3 4 files 13.7 GB
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-IQ3_M.gguf 3.63 GB 5a365aa9 download
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-IQ3_S.gguf 3.53 GB 8f5e25c6 download
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-IQ3_XS.gguf 3.38 GB 8ee251ce download
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-IQ3_XXS.gguf 3.14 GB 01ffe21a download
Q2_K 2 files 5.93 GB
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-Q2_K.gguf 3.06 GB 1f030721 download
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-Q2_K_S.gguf 2.87 GB 2aafa7c3 download
IQ2 4 files 10.3 GB
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-IQ2_M.gguf 2.84 GB 21994238 download
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-IQ2_S.gguf 2.67 GB 26dcbee1 download
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-IQ2_XS.gguf 2.51 GB 7d5c97bb download
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-IQ2_XXS.gguf 2.32 GB 771e408c download
IQ1 2 files 4.07 GB
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-IQ1_M.gguf 2.10 GB 5e69b31a download
Qwen3-VL-8B-Instruct-c_abliterated-v3.i1-IQ1_S.gguf 1.97 GB 212a2bfb download
Auxiliary files 3 files 5.11 MB
Qwen3-VL-8B-Instruct-c_abliterated-v3.imatrix.gguf 5.10 MB 4c52581c download
README.md 7.16 KB 92065f63 download
.gitattributes 3.64 KB 8c987d45 download

README current version from Hugging Face


base_model: prithivMLmods/Qwen3-VL-8B-Instruct-c_abliterated-v3
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • text-generation-inference
  • c_abliterated
  • v3.0
  • code
  • refusal

About

weighted/imatrix quants of https://huggingface.co/prithivMLmods/Qwen3-VL-8B-Instruct-c_abliterated-v3

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-c_abliterated-v3-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. 2026-02-12auto-patch README.mdca840617.2 KB
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  2. 2026-02-12auto-patch README.md6873cbf7 KB
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  3. 2026-02-12auto-patch README.mdc36bf677.2 KB
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  4. 2026-02-12auto-patch README.md6512b0a4.2 KB
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  5. 2026-02-12uploaded from nico15b401d9497 B
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