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mradermacher/Qwen2-VL-2B-Instruct-abliterated-i1-GGUF

mradermacher Qwen 2B GGUF second-order 33K ctx
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Response includes
  • classification m8
  • files 25
  • hub_downloads_all_time 8,924
  • 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 layer-wise ablation 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='huihui-ai/Qwen2-VL-2B-Instruct-abliterated' (base is huihui-ai model (M3))
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
9K
1K last 30d - stable
Likes
2
Model age
22mo ago
created 2024-12-15
Downloads over time
Now9.3K→from429↑2,074%
03.4K6.8K10.2K429 on Dec 11, 20249.3K on Oct 11Dec '24Mar '25Jun '25Sep '25Dec '25MarJunSep
Dec 11, 2024 → Oct 11 · 135 snapshots · spans 669 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 chat abliterated uncensored en license:apache-2.0 endpoints_compatible region:us imatrix conversational

Related

Total size
18.2 GB
Files
25
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-09-11 09:23

Files by quantization

Q6_K 1 file 1.36 GB
Qwen2-VL-2B-Instruct-abliterated.i1-Q6_K.gguf 1.36 GB 31d78a14 download
Q5_K 2 files 2.37 GB
Qwen2-VL-2B-Instruct-abliterated.i1-Q5_K_M.gguf 1.20 GB 2d8ad543 download
Qwen2-VL-2B-Instruct-abliterated.i1-Q5_K_S.gguf 1.17 GB 5f513c68 download
Q4_K 2 files 2.04 GB
Qwen2-VL-2B-Instruct-abliterated.i1-Q4_K_M.gguf 1.04 GB 3ba2ec1a download
Qwen2-VL-2B-Instruct-abliterated.i1-Q4_K_S.gguf 1022 MB 8f70b51d download
Q4 1 file 1019 MB
Qwen2-VL-2B-Instruct-abliterated.i1-Q4_0.gguf 1019 MB c5e6bc7b download
IQ4 1 file 972 MB
Qwen2-VL-2B-Instruct-abliterated.i1-IQ4_XS.gguf 972 MB 6bc29e5e download
Q3_K 3 files 2.58 GB
Qwen2-VL-2B-Instruct-abliterated.i1-Q3_K_L.gguf 935 MB b3dc42c9 download
Qwen2-VL-2B-Instruct-abliterated.i1-Q3_K_M.gguf 882 MB 8f819218 download
Qwen2-VL-2B-Instruct-abliterated.i1-Q3_K_S.gguf 821 MB 94a599b5 download
IQ3 4 files 3.11 GB
Qwen2-VL-2B-Instruct-abliterated.i1-IQ3_M.gguf 836 MB 0ccc4665 download
Qwen2-VL-2B-Instruct-abliterated.i1-IQ3_S.gguf 823 MB 60d1e197 download
Qwen2-VL-2B-Instruct-abliterated.i1-IQ3_XS.gguf 793 MB 4315faf8 download
Qwen2-VL-2B-Instruct-abliterated.i1-IQ3_XXS.gguf 733 MB f707010c download
Q2_K 2 files 1.37 GB
Qwen2-VL-2B-Instruct-abliterated.i1-Q2_K.gguf 718 MB 9b202b5c download
Qwen2-VL-2B-Instruct-abliterated.i1-Q2_K_S.gguf 684 MB 0ba1cbf4 download
IQ2 4 files 2.40 GB
Qwen2-VL-2B-Instruct-abliterated.i1-IQ2_M.gguf 669 MB 5118d290 download
Qwen2-VL-2B-Instruct-abliterated.i1-IQ2_S.gguf 633 MB 47b1b6de download
Qwen2-VL-2B-Instruct-abliterated.i1-IQ2_XS.gguf 598 MB 06b39048 download
Qwen2-VL-2B-Instruct-abliterated.i1-IQ2_XXS.gguf 560 MB e2a27d3e download
IQ1 2 files 1005 MB
Qwen2-VL-2B-Instruct-abliterated.i1-IQ1_M.gguf 516 MB 2702b5cb download
Qwen2-VL-2B-Instruct-abliterated.i1-IQ1_S.gguf 489 MB 43f40978 download
Auxiliary files 3 files 1.96 MB
imatrix.dat 1.95 MB 8deafa01 download
README.md 6.17 KB 91383b09 download
.gitattributes 3.33 KB 45027b3b download

README current version from Hugging Face


base_model: huihui-ai/Qwen2-VL-2B-Instruct-abliterated
language:


About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Qwen2-VL-2B-Instruct-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Qwen2-VL-2B-Instruct-abliterated-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 i1-IQ1_S 0.6 for the desperate
GGUF i1-IQ1_M 0.6 mostly desperate
GGUF i1-IQ2_XXS 0.7
GGUF i1-IQ2_XS 0.7
GGUF i1-IQ2_S 0.8
GGUF i1-IQ2_M 0.8
GGUF i1-Q2_K_S 0.8 very low quality
GGUF i1-Q2_K 0.9 IQ3_XXS probably better
GGUF i1-IQ3_XXS 0.9 lower quality
GGUF i1-IQ3_XS 0.9
GGUF i1-Q3_K_S 1.0 IQ3_XS probably better
GGUF i1-IQ3_S 1.0 beats Q3_K*
GGUF i1-IQ3_M 1.0
GGUF i1-Q3_K_M 1.0 IQ3_S probably better
GGUF i1-Q3_K_L 1.1 IQ3_M probably better
GGUF i1-IQ4_XS 1.1
GGUF i1-Q4_0 1.2 fast, low quality
GGUF i1-Q4_K_S 1.2 optimal size/speed/quality
GGUF i1-Q4_K_M 1.2 fast, recommended
GGUF i1-Q5_K_S 1.4
GGUF i1-Q5_K_M 1.4
GGUF i1-Q6_K 1.6 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 4 versions

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

  1. 2026-09-11auto-patch README.mddf463856 KB
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  2. 2025-07-11auto-patch README.mddee4fdc6.2 KB
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  3. 2024-12-15auto-patch README.md46b12ee5.8 KB
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  4. 2024-12-15uploaded from rain9c53316250 B
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