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

mradermacher/Qwen3-VL-4B-Instruct-c_abliterated-v2-i1-GGUF

mradermacher Qwen 4B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 5,902
  • author_summary 3328 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-4B-Instruct-c_abliterated-v2' (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
6K
867 last 30d - stable
Likes
1
Model age
8mo ago
created 2026-02-11
Downloads over time
Now6.1K→from2.8K↑116%
2.6K3.9K5.2K6.4K2.8K on Feb 116.1K 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 · 5K 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 v2.0 code refusal en base_model:prithivMLmods/Qwen3-VL-4B-Instruct-c_abliterated-v2 base_model:quantized:prithivMLmods/Qwen3-VL-4B-Instruct-c_abliterated-v2 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
2026-02-11 11:51

Files by quantization

Q6_K 1 file 3.08 GB
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-Q6_K.gguf 3.08 GB 2cb9ee54 download
Q5_K 2 files 5.32 GB
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-Q5_K_M.gguf 2.69 GB 970f2220 download
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-Q5_K_S.gguf 2.63 GB 989c2e07 download
Q4 2 files 4.63 GB
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-Q4_1.gguf 2.42 GB 06cc84f3 download
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-Q4_0.gguf 2.21 GB c2754eb1 download
Q4_K 2 files 4.55 GB
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-Q4_K_M.gguf 2.33 GB 9d5cc521 download
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-Q4_K_S.gguf 2.22 GB 722bf368 download
IQ4 2 files 4.33 GB
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-IQ4_NL.gguf 2.22 GB 671fbaa0 download
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-IQ4_XS.gguf 2.11 GB c00ad872 download
Q3_K 3 files 5.78 GB
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-Q3_K_L.gguf 2.09 GB 1b614260 download
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-Q3_K_M.gguf 1.93 GB 0d98dc3b download
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-Q3_K_S.gguf 1.76 GB cb11e709 download
IQ3 4 files 6.84 GB
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-IQ3_M.gguf 1.83 GB 378e9de5 download
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-IQ3_S.gguf 1.77 GB b96b3090 download
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-IQ3_XS.gguf 1.69 GB 631001be download
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-IQ3_XXS.gguf 1.56 GB e037a392 download
Q2_K 2 files 3.01 GB
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-Q2_K.gguf 1.55 GB 92fc69e6 download
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-Q2_K_S.gguf 1.46 GB ec7360cd download
IQ2 4 files 5.15 GB
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-IQ2_M.gguf 1.41 GB 53f8b4a8 download
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-IQ2_S.gguf 1.32 GB 45adbe07 download
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-IQ2_XS.gguf 1.26 GB 8b0bf0d6 download
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-IQ2_XXS.gguf 1.16 GB b6c1620d download
IQ1 2 files 2.03 GB
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-IQ1_M.gguf 1.05 GB bc818df8 download
Qwen3-VL-4B-Instruct-c_abliterated-v2.i1-IQ1_S.gguf 1006 MB e4e9dbe4 download
Auxiliary files 3 files 3.70 MB
Qwen3-VL-4B-Instruct-c_abliterated-v2.imatrix.gguf 3.69 MB 57e62172 download
README.md 7.16 KB 6762919a download
.gitattributes 3.64 KB f88dbb70 download

README current version from Hugging Face


base_model: prithivMLmods/Qwen3-VL-4B-Instruct-c_abliterated-v2
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • text-generation-inference
  • c_abliterated
  • v2.0
  • code
  • refusal

About

weighted/imatrix quants of https://huggingface.co/prithivMLmods/Qwen3-VL-4B-Instruct-c_abliterated-v2

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-c_abliterated-v2-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 3 versions

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

  1. 2026-02-11auto-patch README.md1e416cc7.2 KB
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  2. 2026-02-11auto-patch README.md1cba0597.2 KB
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  3. 2026-02-11uploaded from nico1275abb0497 B
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