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

mradermacher/Huihui-LFM2.5-8B-A1B-abliterated-i1-GGUF

mradermacher Lfm 8B GGUF MoE second-order 128K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 19,838
  • 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-LFM2.5-8B-A1B-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
20K
5K last 30d - stable
Likes
8
Model age
4mo ago
created 2026-06-02
Downloads over time
Now21.4K→from4.8K↑348%
4K10.3K16.7K23.1K4.8K on Jun 1021.4K on Oct 11JunJulAugSepOct
Jun 10 → Oct 11 · 59 snapshots · spans 123 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 · 6K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
other
Languages
en ar zh fr de ja ko es pt
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf liquid lfm2.5 edge abliterated uncensored en ar zh fr de

Related

Total size
89.0 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-06-03 14:45

Files by quantization

Q6_K 1 file 6.48 GB
Huihui-LFM2.5-8B-A1B-abliterated.i1-Q6_K.gguf 6.48 GB 8a47053a download
Q5_K 2 files 11.1 GB
Huihui-LFM2.5-8B-A1B-abliterated.i1-Q5_K_M.gguf 5.62 GB d76c7b11 download
Huihui-LFM2.5-8B-A1B-abliterated.i1-Q5_K_S.gguf 5.47 GB c1313253 download
Q4 2 files 9.51 GB
Huihui-LFM2.5-8B-A1B-abliterated.i1-Q4_1.gguf 4.99 GB b7804473 download
Huihui-LFM2.5-8B-A1B-abliterated.i1-Q4_0.gguf 4.52 GB 12f0abac download
Q4_K 2 files 9.33 GB
Huihui-LFM2.5-8B-A1B-abliterated.i1-Q4_K_M.gguf 4.80 GB b0803979 download
Huihui-LFM2.5-8B-A1B-abliterated.i1-Q4_K_S.gguf 4.53 GB 41267b54 download
IQ4 2 files 8.79 GB
Huihui-LFM2.5-8B-A1B-abliterated.i1-IQ4_NL.gguf 4.51 GB 5113fd40 download
Huihui-LFM2.5-8B-A1B-abliterated.i1-IQ4_XS.gguf 4.27 GB 4ab7d5d7 download
Q3_K 3 files 11.5 GB
Huihui-LFM2.5-8B-A1B-abliterated.i1-Q3_K_L.gguf 4.13 GB c6ebbfb9 download
Huihui-LFM2.5-8B-A1B-abliterated.i1-Q3_K_M.gguf 3.83 GB fce04bb5 download
Huihui-LFM2.5-8B-A1B-abliterated.i1-Q3_K_S.gguf 3.50 GB b8f99be4 download
IQ3 4 files 13.4 GB
Huihui-LFM2.5-8B-A1B-abliterated.i1-IQ3_M.gguf 3.52 GB 16a40c33 download
Huihui-LFM2.5-8B-A1B-abliterated.i1-IQ3_S.gguf 3.50 GB bfff4c91 download
Huihui-LFM2.5-8B-A1B-abliterated.i1-IQ3_XS.gguf 3.31 GB c583ec1c download
Huihui-LFM2.5-8B-A1B-abliterated.i1-IQ3_XXS.gguf 3.11 GB d34e9127 download
Q2_K 2 files 5.72 GB
Huihui-LFM2.5-8B-A1B-abliterated.i1-Q2_K.gguf 2.97 GB 0b227763 download
Huihui-LFM2.5-8B-A1B-abliterated.i1-Q2_K_S.gguf 2.75 GB 1d9afeae download
IQ2 4 files 9.62 GB
Huihui-LFM2.5-8B-A1B-abliterated.i1-IQ2_M.gguf 2.65 GB b6ae892a download
Huihui-LFM2.5-8B-A1B-abliterated.i1-IQ2_S.gguf 2.41 GB d2ae0d1c download
Huihui-LFM2.5-8B-A1B-abliterated.i1-IQ2_XS.gguf 2.40 GB acab16bd download
Huihui-LFM2.5-8B-A1B-abliterated.i1-IQ2_XXS.gguf 2.16 GB a2a7e63f download
IQ1 2 files 3.57 GB
Huihui-LFM2.5-8B-A1B-abliterated.i1-IQ1_M.gguf 1.87 GB 777f9914 download
Huihui-LFM2.5-8B-A1B-abliterated.i1-IQ1_S.gguf 1.70 GB d7d37a33 download
Auxiliary files 3 files 16.6 MB
Huihui-LFM2.5-8B-A1B-abliterated.imatrix.gguf 16.6 MB 2177f2bf download
README.md 6.79 KB f956524b download
.gitattributes 3.52 KB 23279639 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-LFM2.5-8B-A1B-abliterated
language:

  • en
  • ar
  • zh
  • fr
  • de
  • ja
  • ko
  • es
  • pt
    library_name: transformers
    license: other
    license_link: LICENSE
    license_name: lfm1.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • liquid
  • lfm2.5
  • edge
  • abliterated
  • uncensored

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-LFM2.5-8B-A1B-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-LFM2.5-8B-A1B-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 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 1.9 for the desperate
GGUF i1-IQ1_M 2.1 mostly desperate
GGUF i1-IQ2_XXS 2.4
GGUF i1-IQ2_XS 2.7
GGUF i1-IQ2_S 2.7
GGUF i1-IQ2_M 2.9
GGUF i1-Q2_K_S 3.1 very low quality
GGUF i1-Q2_K 3.3 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.4 lower quality
GGUF i1-IQ3_XS 3.7
GGUF i1-IQ3_S 3.9 beats Q3_K*
GGUF i1-Q3_K_S 3.9 IQ3_XS probably better
GGUF i1-IQ3_M 3.9
GGUF i1-Q3_K_M 4.2 IQ3_S probably better
GGUF i1-Q3_K_L 4.5 IQ3_M probably better
GGUF i1-IQ4_XS 4.7
GGUF i1-IQ4_NL 4.9 prefer IQ4_XS
GGUF i1-Q4_0 5.0 fast, low quality
GGUF i1-Q4_K_S 5.0 optimal size/speed/quality
GGUF i1-Q4_K_M 5.3 fast, recommended
GGUF i1-Q4_1 5.5
GGUF i1-Q5_K_S 6.0
GGUF i1-Q5_K_M 6.1
GGUF i1-Q6_K 7.1 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 9 versions

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

  1. 2026-06-03auto-patch README.md4cd84d76.8 KB
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  2. 2026-06-02auto-patch README.md4b2e5f25.6 KB
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  3. 2026-06-02auto-patch README.mdac9719d5.2 KB
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  4. 2026-06-02auto-patch README.mdba908404.4 KB
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  5. 2026-06-02auto-patch README.md7d6c3c54 KB
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  8. 2026-06-02auto-patch README.md4ba78202.5 KB
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  9. 2026-06-02uploaded from rich1c792c87488 B
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