← back to catalog · registered 2026-11-09 19:03

mradermacher/LFM3-Omni-2B-abliterated-GGUF

mradermacher 2B GGUF multimodal second-order
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Response includes
  • classification m8
  • files 14
  • author_summary 3529 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='JonusNattapong/LFM3-Omni-2B-abliterated' (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 · 30-day
310
Likes
0
Model age
today
created 2026-11-09
Downloads over time
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00110 on Nov 90 on Nov 10Nov
Nov 9 → Nov 10 · 2 snapshots · spans 1 day

Genealogy 0 direct forks

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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 · 686 downloads combined

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

Metadata

License
other
Languages
en th zh ja fr de es
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf liquid lfm3 lfm3-omni omni abliterated uncensored reasoning safetensors multimodal audio

Related

Total size
14.8 GB
Files
14
Quantizations
9
Registered
2026-11-09 19:03
Last updated on HF
2026-11-09 22:25

Files by quantization

F16 1 file 3.23 GB
LFM3-Omni-2B-abliterated.f16.gguf 3.23 GB 9943cd4f download
Q8_0 1 file 1.72 GB
LFM3-Omni-2B-abliterated.Q8_0.gguf 1.72 GB 6a014366 download
Q6_K 1 file 1.33 GB
LFM3-Omni-2B-abliterated.Q6_K.gguf 1.33 GB 6e829d73 download
Q5_K 2 files 2.32 GB
LFM3-Omni-2B-abliterated.Q5_K_M.gguf 1.17 GB aa73a2b3 download
LFM3-Omni-2B-abliterated.Q5_K_S.gguf 1.15 GB f6dd50ef download
Q4_K 2 files 2.01 GB
LFM3-Omni-2B-abliterated.Q4_K_M.gguf 1.02 GB 2b71f7da download
LFM3-Omni-2B-abliterated.Q4_K_S.gguf 1007 MB 81d3ce71 download
IQ4 1 file 964 MB
LFM3-Omni-2B-abliterated.IQ4_XS.gguf 964 MB bf3a994c download
Q3_K 3 files 2.55 GB
LFM3-Omni-2B-abliterated.Q3_K_L.gguf 922 MB c62d7504 download
LFM3-Omni-2B-abliterated.Q3_K_M.gguf 873 MB 8aa25d98 download
LFM3-Omni-2B-abliterated.Q3_K_S.gguf 815 MB 93d28f7a download
Q2_K 1 file 715 MB
LFM3-Omni-2B-abliterated.Q2_K.gguf 715 MB deb7617e download
Auxiliary files 2 files 6.32 KB
README.md 3.99 KB 39e7e007 download
.gitattributes 2.33 KB 0e7877e8 download

README current version from Hugging Face


base_model: JonusNattapong/LFM3-Omni-2B-abliterated
language:

  • en
  • th
  • zh
  • ja
  • fr
  • de
  • es
    library_name: transformers
    license: other
    license_link: LICENSE
    license_name: lfm1.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • liquid
  • lfm3
  • lfm3-omni
  • omni
  • abliterated
  • uncensored
  • reasoning
  • safetensors
  • multimodal
  • audio
  • vision
  • speech-to-speech

About

static quants of https://huggingface.co/JonusNattapong/LFM3-Omni-2B-abliterated

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 Q2_K 0.9
GGUF Q3_K_S 1.0
GGUF Q3_K_M 1.0 lower quality
GGUF Q3_K_L 1.1
GGUF IQ4_XS 1.1
GGUF Q4_K_S 1.2 fast, recommended
GGUF Q4_K_M 1.2 fast, recommended
GGUF Q5_K_S 1.3
GGUF Q5_K_M 1.4
GGUF Q6_K 1.5 very good quality
GGUF Q8_0 1.9 fast, best quality
GGUF f16 3.6 16 bpw, overkill

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.

README history 3 versions

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

  1. 2026-11-09auto-patch README.md2b275ea3.9 KB
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  2. 2026-11-09auto-patch README.mde7d91964 KB
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  3. 2026-11-09uploaded from back9744635383 B
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