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

mradermacher/Qwen2.5-VL-7B-Abliterated-Caption-it-i1-GGUF

mradermacher Qwen 7B GGUF second-order 128K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FQwen2.5-VL-7B-Abliterated-Caption-it-i1-GGUF"
Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 29,010
  • author_summary 3324 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
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.

What is a refusal direction? →
Downloads · lifetime
29K
7K last 30d - stable
Likes
9
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
Now34.1K→from612↑5,470%
012.5K25K37.4K612 on Jul 23, 202534.1K on Oct 11Jul '25Sep '25Nov '25JanMarMayJulSep
Jul 23, 2025 → Oct 11 · 109 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
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf text-generation-inference uncensored image-captioning vlm visual-understanding caption image-to-text en zh th

Related

Total size
82.9 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-18 02:13

Files by quantization

Q6_K 1 file 5.82 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-Q6_K.gguf 5.82 GB 95d8e55d download
Q5_K 2 files 10.0 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-Q5_K_M.gguf 5.07 GB 9b05b9f0 download
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-Q5_K_S.gguf 4.95 GB 25b49445 download
Q4 2 files 8.68 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-Q4_1.gguf 4.54 GB ad3c14f8 download
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-Q4_0.gguf 4.14 GB e7b793fe download
Q4_K 2 files 8.51 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-Q4_K_M.gguf 4.36 GB 3b823955 download
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-Q4_K_S.gguf 4.15 GB 6efe3e21 download
IQ4 2 files 8.06 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-IQ4_NL.gguf 4.13 GB c621e5bd download
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-IQ4_XS.gguf 3.93 GB 28c916be download
Q3_K 3 files 10.6 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-Q3_K_L.gguf 3.81 GB ef0bcdfc download
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-Q3_K_M.gguf 3.55 GB 1baa0109 download
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-Q3_K_S.gguf 3.25 GB f7417f9f download
IQ3 4 files 12.6 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-IQ3_M.gguf 3.33 GB 162b8bde download
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-IQ3_S.gguf 3.26 GB 7020374d download
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-IQ3_XS.gguf 3.12 GB 32bdd05a download
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-IQ3_XXS.gguf 2.90 GB b0121602 download
Q2_K 2 files 5.45 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-Q2_K.gguf 2.81 GB bc115281 download
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-Q2_K_S.gguf 2.64 GB 7141fca1 download
IQ2 4 files 9.42 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-IQ2_M.gguf 2.59 GB c8b81469 download
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-IQ2_S.gguf 2.42 GB 24cfa59a download
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-IQ2_XS.gguf 2.30 GB cd2a68b5 download
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-IQ2_XXS.gguf 2.12 GB 961d80d5 download
IQ1 2 files 3.67 GB
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-IQ1_M.gguf 1.90 GB b061f911 download
Qwen2.5-VL-7B-Abliterated-Caption-it.i1-IQ1_S.gguf 1.77 GB cc7bc994 download
Auxiliary files 3 files 4.36 MB
Qwen2.5-VL-7B-Abliterated-Caption-it.imatrix.gguf 4.35 MB 69642d2a download
README.md 7.01 KB aa0c3a45 download
.gitattributes 3.62 KB f548f124 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

weighted/imatrix 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.

static quants are available at https://huggingface.co/mradermacher/Qwen2.5-VL-7B-Abliterated-Caption-it-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 2.0 for the desperate
GGUF i1-IQ1_M 2.1 mostly desperate
GGUF i1-IQ2_XXS 2.4
GGUF i1-IQ2_XS 2.6
GGUF i1-IQ2_S 2.7
GGUF i1-IQ2_M 2.9
GGUF i1-Q2_K_S 2.9 very low quality
GGUF i1-Q2_K 3.1 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.2 lower quality
GGUF i1-IQ3_XS 3.4
GGUF i1-Q3_K_S 3.6 IQ3_XS probably better
GGUF i1-IQ3_S 3.6 beats Q3_K*
GGUF i1-IQ3_M 3.7
GGUF i1-Q3_K_M 3.9 IQ3_S probably better
GGUF i1-Q3_K_L 4.2 IQ3_M probably better
GGUF i1-IQ4_XS 4.3
GGUF i1-IQ4_NL 4.5 prefer IQ4_XS
GGUF i1-Q4_0 4.5 fast, low quality
GGUF i1-Q4_K_S 4.6 optimal size/speed/quality
GGUF i1-Q4_K_M 4.8 fast, recommended
GGUF i1-Q4_1 5.0
GGUF i1-Q5_K_S 5.4
GGUF i1-Q5_K_M 5.5
GGUF i1-Q6_K 6.4 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. 2025-12-18auto-patch README.mdea9dd857 KB
    Loading...
  2. 2025-07-23auto-patch README.mdc19af8a7 KB
    Loading...
  3. 2025-07-23uploaded from nico18f4e9c8258 B
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration