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mradermacher/Huihui-GLM-4.6V-Flash-abliterated-i1-GGUF

mradermacher Glm GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 4,412
  • 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-4.6V-Flash-abliterated' (base is huihui-ai model (M3))
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Downloads · lifetime
4K
3K last 30d - active
Likes
0
Model age
7w ago
created 2026-08-17
Downloads over time
Now6.7K→from0↑0%
02.5K4.9K7.4K0 on Aug 176.7K on Oct 11AugSepOct
Aug 17 → Oct 11 · 49 snapshots · spans 55 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 · 5K 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
110 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-10-04 21:54

Files by quantization

Q6_K 1 file 7.70 GB
Huihui-GLM-4.6V-Flash-abliterated.i1-Q6_K.gguf 7.70 GB d7b4d591 download
Q5_K 2 files 12.8 GB
Huihui-GLM-4.6V-Flash-abliterated.i1-Q5_K_M.gguf 6.57 GB 3f5e05c6 download
Huihui-GLM-4.6V-Flash-abliterated.i1-Q5_K_S.gguf 6.24 GB 99b3950d download
Q4_K 2 files 11.1 GB
Huihui-GLM-4.6V-Flash-abliterated.i1-Q4_K_M.gguf 5.74 GB d7740f7a download
Huihui-GLM-4.6V-Flash-abliterated.i1-Q4_K_S.gguf 5.36 GB 6b5c7bdb download
Q4 2 files 10.7 GB
Huihui-GLM-4.6V-Flash-abliterated.i1-Q4_1.gguf 5.60 GB f42c0a34 download
Huihui-GLM-4.6V-Flash-abliterated.i1-Q4_0.gguf 5.10 GB 09a64b52 download
IQ4 2 files 9.99 GB
Huihui-GLM-4.6V-Flash-abliterated.i1-IQ4_NL.gguf 5.09 GB c9e9caac download
Huihui-GLM-4.6V-Flash-abliterated.i1-IQ4_XS.gguf 4.90 GB d2394286 download
Q3_K 3 files 13.7 GB
Huihui-GLM-4.6V-Flash-abliterated.i1-Q3_K_L.gguf 4.84 GB 09c4592e download
Huihui-GLM-4.6V-Flash-abliterated.i1-Q3_K_M.gguf 4.63 GB 024a061a download
Huihui-GLM-4.6V-Flash-abliterated.i1-Q3_K_S.gguf 4.28 GB 7b2b4502 download
IQ3 4 files 16.7 GB
Huihui-GLM-4.6V-Flash-abliterated.i1-IQ3_M.gguf 4.40 GB 0efc6562 download
Huihui-GLM-4.6V-Flash-abliterated.i1-IQ3_S.gguf 4.28 GB 6dd998e8 download
Huihui-GLM-4.6V-Flash-abliterated.i1-IQ3_XS.gguf 4.10 GB 261fadc0 download
Huihui-GLM-4.6V-Flash-abliterated.i1-IQ3_XXS.gguf 3.94 GB 532745aa download
Q2_K 2 files 7.43 GB
Huihui-GLM-4.6V-Flash-abliterated.i1-Q2_K.gguf 3.73 GB f1cb79ec download
Huihui-GLM-4.6V-Flash-abliterated.i1-Q2_K_S.gguf 3.70 GB d66e0371 download
IQ2 4 files 13.8 GB
Huihui-GLM-4.6V-Flash-abliterated.i1-IQ2_M.gguf 3.68 GB 5f66b846 download
Huihui-GLM-4.6V-Flash-abliterated.i1-IQ2_S.gguf 3.52 GB e5de92f6 download
Huihui-GLM-4.6V-Flash-abliterated.i1-IQ2_XS.gguf 3.38 GB d57c4dd6 download
Huihui-GLM-4.6V-Flash-abliterated.i1-IQ2_XXS.gguf 3.21 GB 5887360b download
IQ1 2 files 5.92 GB
Huihui-GLM-4.6V-Flash-abliterated.i1-IQ1_M.gguf 3.02 GB f7708d6b download
Huihui-GLM-4.6V-Flash-abliterated.i1-IQ1_S.gguf 2.90 GB fdf50be2 download
Auxiliary files 3 files 5.26 MB
Huihui-GLM-4.6V-Flash-abliterated.imatrix.gguf 5.25 MB b30696a4 download
README.md 6.90 KB ceefc244 download
.gitattributes 3.54 KB 15f6796f download

README current version from Hugging Face


base_model: huihui-ai/Huihui-GLM-4.6V-Flash-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-4.6V-Flash-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-4.6V-Flash-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 3.2 for the desperate
GGUF i1-IQ1_M 3.3 mostly desperate
GGUF i1-IQ2_XXS 3.5
GGUF i1-IQ2_XS 3.7
GGUF i1-IQ2_S 3.9
GGUF i1-IQ2_M 4.0
GGUF i1-Q2_K_S 4.1 very low quality
GGUF i1-Q2_K 4.1 IQ3_XXS probably better
GGUF i1-IQ3_XXS 4.3 lower quality
GGUF i1-IQ3_XS 4.5
GGUF i1-Q3_K_S 4.7 IQ3_XS probably better
GGUF i1-IQ3_S 4.7 beats Q3_K*
GGUF i1-IQ3_M 4.8
GGUF i1-Q3_K_M 5.1 IQ3_S probably better
GGUF i1-Q3_K_L 5.3 IQ3_M probably better
GGUF i1-IQ4_XS 5.4
GGUF i1-IQ4_NL 5.6 prefer IQ4_XS
GGUF i1-Q4_0 5.6 fast, low quality
GGUF i1-Q4_K_S 5.9 optimal size/speed/quality
GGUF i1-Q4_1 6.1
GGUF i1-Q4_K_M 6.3 fast, recommended
GGUF i1-Q5_K_S 6.8
GGUF i1-Q5_K_M 7.2
GGUF i1-Q6_K 8.4 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 4 versions

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

  1. 2026-10-04auto-patch README.md63b99986.7 KB
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  2. 2026-08-17auto-patch README.mdc2f03186.9 KB
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  3. 2026-08-17auto-patch README.mdc3118d15 KB
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  4. 2026-08-17uploaded from nico16d9f117489 B
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