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mradermacher/Huihui-Qwen3-VL-2B-Instruct-abliterated-i1-GGUF

mradermacher Qwen 2B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 6,062
  • 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/Huihui-Qwen3-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
6K
774 last 30d - stable
Likes
0
Model age
11mo ago
created 2025-11-03
Downloads over time
Now6.2K→from558↑1,010%
2762.4K4.6K6.8K558 on Nov 5, 20256.2K on Oct 12Nov '25JanMarMayJulSep
Nov 5, 2025 → Oct 12 · 89 snapshots · spans 341 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 · 2K 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 abliterated uncensored en base_model:huihui-ai/Huihui-Qwen3-VL-2B-Instruct-abliterated base_model:quantized:huihui-ai/Huihui-Qwen3-VL-2B-Instruct-abliterated license:apache-2.0 endpoints_compatible region:us imatrix conversational

Related

Total size
20.2 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-07 15:33

Files by quantization

Q6_K 1 file 1.32 GB
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-Q6_K.gguf 1.32 GB fb21e694 download
Q5_K 2 files 2.32 GB
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-Q5_K_M.gguf 1.17 GB 586ac450 download
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-Q5_K_S.gguf 1.15 GB 8e4e6209 download
Q4 2 files 2.05 GB
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-Q4_1.gguf 1.06 GB 4152d8d1 download
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-Q4_0.gguf 1008 MB 253cd505 download
Q4_K 2 files 2.02 GB
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-Q4_K_M.gguf 1.03 GB 653e31ae download
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-Q4_K_S.gguf 1011 MB 07afde8e download
IQ4 2 files 1.92 GB
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-IQ4_NL.gguf 1006 MB efbb13c1 download
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-IQ4_XS.gguf 964 MB 26bc7085 download
Q3_K 3 files 2.62 GB
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-Q3_K_L.gguf 957 MB a2b89f42 download
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-Q3_K_M.gguf 896 MB 1591c845 download
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-Q3_K_S.gguf 827 MB f9e0ebf2 download
IQ3 4 files 3.12 GB
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-IQ3_M.gguf 854 MB 6556e929 download
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-IQ3_S.gguf 827 MB 33c91902 download
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-IQ3_XS.gguf 796 MB 5b59e6b9 download
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-IQ3_XXS.gguf 719 MB 2d01f1a5 download
Q2_K 2 files 1.41 GB
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-Q2_K.gguf 742 MB c3ee9753 download
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-Q2_K_S.gguf 699 MB bf3c0111 download
IQ2 4 files 2.40 GB
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-IQ2_M.gguf 663 MB 4dbef6dc download
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-IQ2_S.gguf 627 MB c0141970 download
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-IQ2_XS.gguf 602 MB 3974fe37 download
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-IQ2_XXS.gguf 563 MB 9a0064e6 download
IQ1 2 files 1010 MB
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-IQ1_M.gguf 519 MB ae3d7b7c download
Huihui-Qwen3-VL-2B-Instruct-abliterated.i1-IQ1_S.gguf 492 MB b4b55108 download
Auxiliary files 3 files 2.01 MB
Huihui-Qwen3-VL-2B-Instruct-abliterated.imatrix.gguf 2.00 MB ccac4152 download
README.md 7.22 KB b8d21469 download
.gitattributes 3.69 KB 28699309 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Qwen3-VL-2B-Instruct-abliterated
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-Qwen3-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/Huihui-Qwen3-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 imatrix 0.1 imatrix file (for creating your own quants)
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-IQ3_XXS 0.9 lower quality
GGUF i1-Q2_K 0.9 IQ3_XXS probably better
GGUF i1-IQ3_XS 0.9
GGUF i1-IQ3_S 1.0 beats Q3_K*
GGUF i1-Q3_K_S 1.0 IQ3_XS probably better
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-IQ4_NL 1.2 prefer IQ4_XS
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-Q4_1 1.2
GGUF i1-Q5_K_S 1.3
GGUF i1-Q5_K_M 1.4
GGUF i1-Q6_K 1.5 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. 2025-12-07auto-patch README.mde0960cb7.2 KB
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  2. 2025-11-03auto-patch README.md26fd54d7.2 KB
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  3. 2025-11-03uploaded from nico1638193b495 B
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