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mradermacher/Huihui-LFM2-2.6B-Exp-abliterated-i1-GGUF

mradermacher Lfm 2.6B GGUF second-order 128K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 2,965
  • 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-LFM2-2.6B-Exp-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
3K
738 last 30d - stable
Likes
0
Model age
9mo ago
created 2025-12-29
Downloads over time
Now3.1K→from574↑448%
4451.4K2.4K3.4K574 on Dec 31, 20253.1K on Oct 11Dec '25FebAprJunAugOct
Dec 31, 2025 → Oct 11 · 80 snapshots · spans 284 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 · 1K 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
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf liquid lfm2 edge abliterated uncensored en ar zh fr de

Related

Total size
27.4 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-29 00:43

Files by quantization

Q6_K 1 file 1.97 GB
Huihui-LFM2-2.6B-Exp-abliterated.i1-Q6_K.gguf 1.97 GB d4330ed9 download
Q5_K 2 files 3.37 GB
Huihui-LFM2-2.6B-Exp-abliterated.i1-Q5_K_M.gguf 1.70 GB 176b0291 download
Huihui-LFM2-2.6B-Exp-abliterated.i1-Q5_K_S.gguf 1.66 GB 7d775468 download
Q4 2 files 2.91 GB
Huihui-LFM2-2.6B-Exp-abliterated.i1-Q4_1.gguf 1.52 GB fc3ba1b9 download
Huihui-LFM2-2.6B-Exp-abliterated.i1-Q4_0.gguf 1.39 GB 904c4252 download
Q4_K 2 files 2.85 GB
Huihui-LFM2-2.6B-Exp-abliterated.i1-Q4_K_M.gguf 1.46 GB 0489eb76 download
Huihui-LFM2-2.6B-Exp-abliterated.i1-Q4_K_S.gguf 1.39 GB c39e717c download
IQ4 2 files 2.69 GB
Huihui-LFM2-2.6B-Exp-abliterated.i1-IQ4_NL.gguf 1.38 GB 7d49da66 download
Huihui-LFM2-2.6B-Exp-abliterated.i1-IQ4_XS.gguf 1.31 GB 8d8b9e47 download
Q3_K 3 files 3.50 GB
Huihui-LFM2-2.6B-Exp-abliterated.i1-Q3_K_L.gguf 1.25 GB 16a33c72 download
Huihui-LFM2-2.6B-Exp-abliterated.i1-Q3_K_M.gguf 1.17 GB 809eca7b download
Huihui-LFM2-2.6B-Exp-abliterated.i1-Q3_K_S.gguf 1.08 GB ffd048dd download
IQ3 4 files 4.16 GB
Huihui-LFM2-2.6B-Exp-abliterated.i1-IQ3_M.gguf 1.09 GB ba3c23a3 download
Huihui-LFM2-2.6B-Exp-abliterated.i1-IQ3_S.gguf 1.08 GB d2258b63 download
Huihui-LFM2-2.6B-Exp-abliterated.i1-IQ3_XS.gguf 1.03 GB a061e063 download
Huihui-LFM2-2.6B-Exp-abliterated.i1-IQ3_XXS.gguf 979 MB 1c309f63 download
Q2_K 2 files 1.78 GB
Huihui-LFM2-2.6B-Exp-abliterated.i1-Q2_K.gguf 938 MB 421e541b download
Huihui-LFM2-2.6B-Exp-abliterated.i1-Q2_K_S.gguf 885 MB f6358ea3 download
IQ2 4 files 3.01 GB
Huihui-LFM2-2.6B-Exp-abliterated.i1-IQ2_M.gguf 846 MB 5fbd0eaa download
Huihui-LFM2-2.6B-Exp-abliterated.i1-IQ2_S.gguf 777 MB feebf749 download
Huihui-LFM2-2.6B-Exp-abliterated.i1-IQ2_XS.gguf 765 MB e7c62746 download
Huihui-LFM2-2.6B-Exp-abliterated.i1-IQ2_XXS.gguf 695 MB 803958ad download
IQ1 2 files 1.14 GB
Huihui-LFM2-2.6B-Exp-abliterated.i1-IQ1_M.gguf 608 MB b6fdbab2 download
Huihui-LFM2-2.6B-Exp-abliterated.i1-IQ1_S.gguf 556 MB b7c287d3 download
Auxiliary files 3 files 2.33 MB
Huihui-LFM2-2.6B-Exp-abliterated.imatrix.gguf 2.32 MB 965de377 download
README.md 6.78 KB ec65a463 download
.gitattributes 3.52 KB adebedb8 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-LFM2-2.6B-Exp-abliterated
language:

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

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-LFM2-2.6B-Exp-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-LFM2-2.6B-Exp-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 0.7 for the desperate
GGUF i1-IQ1_M 0.7 mostly desperate
GGUF i1-IQ2_XXS 0.8
GGUF i1-IQ2_XS 0.9
GGUF i1-IQ2_S 0.9
GGUF i1-IQ2_M 1.0
GGUF i1-Q2_K_S 1.0 very low quality
GGUF i1-Q2_K 1.1 IQ3_XXS probably better
GGUF i1-IQ3_XXS 1.1 lower quality
GGUF i1-IQ3_XS 1.2
GGUF i1-IQ3_S 1.3 beats Q3_K*
GGUF i1-Q3_K_S 1.3 IQ3_XS probably better
GGUF i1-IQ3_M 1.3
GGUF i1-Q3_K_M 1.4 IQ3_S probably better
GGUF i1-Q3_K_L 1.4 IQ3_M probably better
GGUF i1-IQ4_XS 1.5
GGUF i1-IQ4_NL 1.6 prefer IQ4_XS
GGUF i1-Q4_0 1.6 fast, low quality
GGUF i1-Q4_K_S 1.6 optimal size/speed/quality
GGUF i1-Q4_K_M 1.7 fast, recommended
GGUF i1-Q4_1 1.7
GGUF i1-Q5_K_S 1.9
GGUF i1-Q5_K_M 1.9
GGUF i1-Q6_K 2.2 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 2 versions

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

  1. 2025-12-29auto-patch README.mdb2ba7336.8 KB
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  2. 2025-12-29uploaded from marcob8bfbb4488 B
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