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

mradermacher/Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY-i1-GGUF

mradermacher Glm GGUF second-order 203K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 5,046
  • 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 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='win10/Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY' (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.

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Downloads · lifetime
5K
1K last 30d - stable
Likes
1
Model age
8mo ago
created 2026-01-28
Downloads over time
Now5.4K→from1.2K↑362%
9542.6K4.2K5.8K1.2K on Jan 285.4K on Oct 11JanMarMayJulSep
Jan 28 → Oct 11 · 76 snapshots · spans 256 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

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf en base_model:win10/Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY base_model:quantized:win10/Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY endpoints_compatible region:us imatrix

Related

Total size
581 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-01-28 18:00

Files by quantization

Q6_K 1 file 45.3 GB
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-Q6_K.gguf 45.3 GB cc5f6d98 download
Q5_K 2 files 77.1 GB
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-Q5_K_M.gguf 39.1 GB a119ca9f download
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-Q5_K_S.gguf 38.0 GB 3dee343c download
Q4 2 files 65.8 GB
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-Q4_1.gguf 34.5 GB 661cbb34 download
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-Q4_0.gguf 31.2 GB 5bf41f68 download
Q4_K 2 files 64.7 GB
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-Q4_K_M.gguf 33.4 GB 07ef587a download
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-Q4_K_S.gguf 31.4 GB fcc84fa0 download
IQ4 1 file 29.4 GB
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-IQ4_XS.gguf 29.4 GB c7d853bb download
Q3_K 3 files 78.9 GB
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-Q3_K_L.gguf 28.6 GB 57616b04 download
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-Q3_K_M.gguf 26.4 GB fb88b52b download
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-Q3_K_S.gguf 23.9 GB 7f7e151c download
IQ3 4 files 92.0 GB
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-IQ3_M.gguf 24.2 GB 678f6256 download
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-IQ3_S.gguf 23.9 GB 0143e35b download
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-IQ3_XS.gguf 22.6 GB ab1d4362 download
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-IQ3_XXS.gguf 21.3 GB fb11baec download
Q2_K 2 files 39.0 GB
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-Q2_K.gguf 20.2 GB 182ee2c3 download
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-Q2_K_S.gguf 18.8 GB b1dbed43 download
IQ2 4 files 65.3 GB
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-IQ2_M.gguf 18.1 GB ea7c2c0c download
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-IQ2_S.gguf 16.5 GB e45d519c download
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-IQ2_XS.gguf 16.2 GB 4a9c0014 download
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-IQ2_XXS.gguf 14.5 GB d4334556 download
IQ1 2 files 23.7 GB
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-IQ1_M.gguf 12.5 GB 76d4de60 download
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.i1-IQ1_S.gguf 11.2 GB 2a031309 download
Auxiliary files 3 files 138 MB
Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY.imatrix.gguf 138 MB 740b1d43 download
README.md 7.18 KB ec95052a download
.gitattributes 3.77 KB f2594ada download

README current version from Hugging Face


base_model: win10/Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/win10/Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY

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-4.7-Flash-abliterated-60B_DEPTHONLY-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 0.2 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 12.2 for the desperate
GGUF i1-IQ1_M 13.5 mostly desperate
GGUF i1-IQ2_XXS 15.7
GGUF i1-IQ2_XS 17.5
GGUF i1-IQ2_S 17.8
GGUF i1-IQ2_M 19.5
GGUF i1-Q2_K_S 20.3 very low quality
GGUF i1-Q2_K 21.8 IQ3_XXS probably better
GGUF i1-IQ3_XXS 23.0 lower quality
GGUF i1-IQ3_XS 24.4
GGUF i1-IQ3_S 25.7 beats Q3_K*
GGUF i1-Q3_K_S 25.7 IQ3_XS probably better
GGUF i1-IQ3_M 26.1
GGUF i1-Q3_K_M 28.5 IQ3_S probably better
GGUF i1-Q3_K_L 30.8 IQ3_M probably better
GGUF i1-IQ4_XS 31.7
GGUF i1-Q4_0 33.6 fast, low quality
GGUF i1-Q4_K_S 33.8 optimal size/speed/quality
GGUF i1-Q4_K_M 35.9 fast, recommended
GGUF i1-Q4_1 37.2
GGUF i1-Q5_K_S 40.9
GGUF i1-Q5_K_M 42.1
GGUF i1-Q6_K 48.7 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 5 versions

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

  1. 2026-01-28auto-patch README.md625f2dc7.2 KB
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  2. 2026-01-28auto-patch README.md7b290765.8 KB
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  3. 2026-01-28auto-patch README.mdff1af944.6 KB
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  4. 2026-01-28auto-patch README.md23845763.1 KB
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  5. 2026-01-28uploaded from nico176d6c0a498 B
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