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mradermacher/Qwen2.5-VL-7B-Abliterated-Caption-it-GGUF

mradermacher Qwen 7B GGUF second-order 128K ctx
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Response includes
  • classification m8
  • files 16
  • hub_downloads_all_time 109,294
  • 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/Qwen2.5-VL-7B-Abliterated-Caption-it' (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
109K
7K last 30d - cooling
Likes
79
Model age
14mo ago
created 2025-07-23

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now113.4K→from485↑23,281%
041.6K83.1K124.7K485 on Jul 23, 2025113.4K on Oct 11Jul '25Sep '25Nov '25JanMarMayJulSep
Jul 23, 2025 → Oct 11 · 112 snapshots · spans 445 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 · 14K 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 zh th
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf text-generation-inference uncensored image-captioning vlm visual-understanding caption image-to-text en zh th

Related

Total size
63.5 GB
Files
16
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2025-08-01 06:52

Files by quantization

F16 2 files 15.5 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.f16.gguf 14.2 GB b0f91256 download
Qwen2.5-VL-7B-Abliterated-Caption-it.mmproj-f16.gguf 1.26 GB 375a1bc1 download
Q8_0 2 files 8.34 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.Q8_0.gguf 7.54 GB abca2052 download
Qwen2.5-VL-7B-Abliterated-Caption-it.mmproj-Q8_0.gguf 814 MB dc69886e download
Q6_K 1 file 5.82 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.Q6_K.gguf 5.82 GB 33e898b6 download
Q5_K 2 files 10.0 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.Q5_K_M.gguf 5.07 GB b48a51ef download
Qwen2.5-VL-7B-Abliterated-Caption-it.Q5_K_S.gguf 4.95 GB 3904726a download
Q4_K 2 files 8.51 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.Q4_K_M.gguf 4.36 GB 8ec61993 download
Qwen2.5-VL-7B-Abliterated-Caption-it.Q4_K_S.gguf 4.15 GB 739197d5 download
IQ4 1 file 3.96 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.IQ4_XS.gguf 3.96 GB 70c7b499 download
Q3_K 3 files 10.6 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.Q3_K_L.gguf 3.81 GB dd6692ea download
Qwen2.5-VL-7B-Abliterated-Caption-it.Q3_K_M.gguf 3.55 GB 8cb6ca97 download
Qwen2.5-VL-7B-Abliterated-Caption-it.Q3_K_S.gguf 3.25 GB ad8d21f1 download
Q2_K 1 file 2.81 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.Q2_K.gguf 2.81 GB de9596ba download
Auxiliary files 2 files 7.09 KB
README.md 4.45 KB 70e68cf6 download
.gitattributes 2.65 KB a6ea5508 download

README current version from Hugging Face


base_model: prithivMLmods/Qwen2.5-VL-7B-Abliterated-Caption-it
datasets:

  • prithivMLmods/blip3o-caption-mini-arrow
  • prithivMLmods/Caption3o-Opt-v2
    language:
  • en
  • zh
  • th
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • text-generation-inference
  • uncensored
  • image-captioning
  • vlm
  • visual-understanding
  • caption
  • image-to-text

About

static quants of https://huggingface.co/prithivMLmods/Qwen2.5-VL-7B-Abliterated-Caption-it

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-VL-7B-Abliterated-Caption-it-i1-GGUF

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 mmproj-Q8_0 1.0 multi-modal supplement
GGUF mmproj-f16 1.5 multi-modal supplement
GGUF Q2_K 3.1
GGUF Q3_K_S 3.6
GGUF Q3_K_M 3.9 lower quality
GGUF Q3_K_L 4.2
GGUF IQ4_XS 4.4
GGUF Q4_K_S 4.6 fast, recommended
GGUF Q4_K_M 4.8 fast, recommended
GGUF Q5_K_S 5.4
GGUF Q5_K_M 5.5
GGUF Q6_K 6.4 very good quality
GGUF Q8_0 8.2 fast, best quality
GGUF f16 15.3 16 bpw, overkill

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.

README history 5 versions

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

  1. 2025-08-01auto-patch README.md03aca3b4.4 KB
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  2. 2025-07-23auto-patch README.md1a52e5a4.7 KB
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  3. 2025-07-23auto-patch README.mdc631a2f4.8 KB
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  4. 2025-07-23auto-patch README.md25d180c3.9 KB
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  5. 2025-07-23uploaded from nico180e44d3240 B
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Discussions 2 threads

  1. 2025-10-10PRUpdate metadata (general.type)closed1 💬#2
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  2. 2025-08-27mat1 and mat2 shapes cannot be multipliedopen5 💬#1
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