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mradermacher/Huihui-GLM-4.5V-abliterated-i1-GGUF

mradermacher Glm GGUF second-order 66K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 9,793
  • 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-GLM-4.5V-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
10K
811 last 30d - cooling
Likes
0
Model age
9mo ago
created 2025-12-22
Downloads over time
Now10K→from4.9K↑106%
4.6K6.6K8.6K10.5K4.9K on Dec 24, 202510K on Oct 11Dec '25FebAprJunAugOct
Dec 24, 2025 → Oct 11 · 81 snapshots · spans 291 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
mit
Languages
zh en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored zh en license:mit endpoints_compatible region:us imatrix conversational

Related

Total size
1.14 TB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-05-15 03:29

Files by quantization

Q6_K 1 file 89.3 GB
Huihui-GLM-4.5V-abliterated.i1-Q6_K.gguf 89.3 GB fbd5157d download
Q5_K 2 files 146 GB
Huihui-GLM-4.5V-abliterated.i1-Q5_K_M.gguf 75.1 GB 80a6fedf download
Huihui-GLM-4.5V-abliterated.i1-Q5_K_S.gguf 70.5 GB d58be14d download
Q4_K 2 files 126 GB
Huihui-GLM-4.5V-abliterated.i1-Q4_K_M.gguf 65.6 GB aed7bc00 download
Huihui-GLM-4.5V-abliterated.i1-Q4_K_S.gguf 60.3 GB b9e6b3d2 download
Q4 2 files 119 GB
Huihui-GLM-4.5V-abliterated.i1-Q4_1.gguf 62.4 GB bb6f3b72 download
Huihui-GLM-4.5V-abliterated.i1-Q4_0.gguf 56.4 GB b86c6c4e download
IQ4 1 file 54.1 GB
Huihui-GLM-4.5V-abliterated.i1-IQ4_XS.gguf 54.1 GB 84bb602b download
Q3_K 3 files 152 GB
Huihui-GLM-4.5V-abliterated.i1-Q3_K_L.gguf 53.7 GB 6e9825a6 download
Huihui-GLM-4.5V-abliterated.i1-Q3_K_M.gguf 51.5 GB 33efdfb7 download
Huihui-GLM-4.5V-abliterated.i1-Q3_K_S.gguf 47.2 GB 0b370dbc download
IQ3 4 files 184 GB
Huihui-GLM-4.5V-abliterated.i1-IQ3_M.gguf 47.9 GB 4eb40431 download
Huihui-GLM-4.5V-abliterated.i1-IQ3_S.gguf 47.2 GB 8c324782 download
Huihui-GLM-4.5V-abliterated.i1-IQ3_XS.gguf 44.9 GB c85ea9f1 download
Huihui-GLM-4.5V-abliterated.i1-IQ3_XXS.gguf 44.0 GB ce3ed268 download
Q2_K 2 files 81.4 GB
Huihui-GLM-4.5V-abliterated.i1-Q2_K_S.gguf 40.7 GB 81b7aa35 download
Huihui-GLM-4.5V-abliterated.i1-Q2_K.gguf 40.6 GB 920940b1 download
IQ2 4 files 151 GB
Huihui-GLM-4.5V-abliterated.i1-IQ2_M.gguf 40.1 GB 49498dee download
Huihui-GLM-4.5V-abliterated.i1-IQ2_S.gguf 38.1 GB f0e27eb8 download
Huihui-GLM-4.5V-abliterated.i1-IQ2_XS.gguf 37.7 GB 2d3511f0 download
Huihui-GLM-4.5V-abliterated.i1-IQ2_XXS.gguf 35.6 GB ec2fa018 download
IQ1 2 files 64.6 GB
Huihui-GLM-4.5V-abliterated.i1-IQ1_M.gguf 33.1 GB c36fb7af download
Huihui-GLM-4.5V-abliterated.i1-IQ1_S.gguf 31.6 GB fe5629e4 download
Auxiliary files 3 files 218 MB
Huihui-GLM-4.5V-abliterated.imatrix.gguf 218 MB e8874b7b download
README.md 6.27 KB a4b671d3 download
.gitattributes 3.32 KB 2b563ae9 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-GLM-4.5V-abliterated
language:

  • zh
  • en
    library_name: transformers
    license: mit
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-GLM-4.5V-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-GLM-4.5V-abliterated-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 imatrix 0.3 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 34.0 for the desperate
GGUF i1-IQ1_M 35.6 mostly desperate
GGUF i1-IQ2_XXS 38.3
GGUF i1-IQ2_XS 40.6
GGUF i1-IQ2_S 41.0
GGUF i1-IQ2_M 43.1
GGUF i1-Q2_K 43.7 IQ3_XXS probably better
GGUF i1-Q2_K_S 43.8 very low quality
GGUF i1-IQ3_XXS 47.3 lower quality
GGUF i1-IQ3_XS 48.3
GGUF i1-Q3_K_S 50.8 IQ3_XS probably better
GGUF i1-IQ3_S 50.8 beats Q3_K*
GGUF i1-IQ3_M 51.5
GGUF i1-Q3_K_M 55.4 IQ3_S probably better
GGUF i1-Q3_K_L 57.7 IQ3_M probably better
GGUF i1-IQ4_XS 58.2
GGUF i1-Q4_0 60.6 fast, low quality
GGUF i1-Q4_K_S 64.8 optimal size/speed/quality
GGUF i1-Q4_1 67.1
GGUF i1-Q4_K_M 70.5 fast, recommended
GGUF i1-Q5_K_S 75.8
GGUF i1-Q5_K_M 80.7
GGUF i1-Q6_K 96.0 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 12 versions

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

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  11. 2025-12-22auto-patch README.md5183ee22.6 KB
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  12. 2025-12-22uploaded from nico1014d088483 B
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