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mradermacher/LFM2.5-24B-A2B-abliterated-i1-GGUF

mradermacher 24B GGUF second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FLFM2.5-24B-A2B-abliterated-i1-GGUF"
Response includes
  • classification m8
  • files 15
  • author_summary 3386 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='SOMEHOTMEAL/LFM2.5-24B-A2B-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
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Likes
0
Model age
today
created 2026-10-22

Genealogy 0 direct forks

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Variants by this author 2 formats · 0 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_K Q6_K
Tags
transformers gguf en base_model:SOMEHOTMEAL/LFM2.5-24B-A2B-abliterated base_model:quantized:SOMEHOTMEAL/LFM2.5-24B-A2B-abliterated endpoints_compatible region:us imatrix conversational

Related

Total size
124 GB
Files
15
Quantizations
9
Registered
2026-10-22 09:00
Last updated on HF
2026-10-22 10:49

Files by quantization

Q6_K 1 file 18.3 GB
LFM2.5-24B-A2B-abliterated.i1-Q6_K.gguf 18.3 GB ecb96cc3 download
Q4_K 2 files 26.3 GB
LFM2.5-24B-A2B-abliterated.i1-Q4_K_M.gguf 13.5 GB 0a7b7c68 download
LFM2.5-24B-A2B-abliterated.i1-Q4_K_S.gguf 12.7 GB 1b115582 download
IQ4 1 file 12.0 GB
LFM2.5-24B-A2B-abliterated.i1-IQ4_XS.gguf 12.0 GB 26931798 download
Q3_K 2 files 20.4 GB
LFM2.5-24B-A2B-abliterated.i1-Q3_K_M.gguf 10.7 GB dab434b4 download
LFM2.5-24B-A2B-abliterated.i1-Q3_K_S.gguf 9.71 GB 93e017c7 download
IQ3 2 files 18.4 GB
LFM2.5-24B-A2B-abliterated.i1-IQ3_M.gguf 9.80 GB 29041ec7 download
LFM2.5-24B-A2B-abliterated.i1-IQ3_XXS.gguf 8.65 GB cc0f6199 download
Q2_K 2 files 15.8 GB
LFM2.5-24B-A2B-abliterated.i1-Q2_K.gguf 8.20 GB 47f5e73c download
LFM2.5-24B-A2B-abliterated.i1-Q2_K_S.gguf 7.61 GB 73d2e159 download
IQ2 1 file 7.34 GB
LFM2.5-24B-A2B-abliterated.i1-IQ2_M.gguf 7.34 GB fbd409b7 download
IQ1 1 file 5.10 GB
LFM2.5-24B-A2B-abliterated.i1-IQ1_M.gguf 5.10 GB c2ef731d download
Auxiliary files 3 files 107 MB
LFM2.5-24B-A2B-abliterated.imatrix.gguf 107 MB 5229ea1b download
.gitattributes 2.47 KB 7ff94d84 download
README.md 2.36 KB 6eeeacb8 download

README current version from Hugging Face


base_model: SOMEHOTMEAL/LFM2.5-24B-A2B-abliterated
language:

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

About

weighted/imatrix quants of https://huggingface.co/SOMEHOTMEAL/LFM2.5-24B-A2B-abliterated

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

static quants are available at https://huggingface.co/mradermacher/LFM2.5-24B-A2B-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 0.2 imatrix file (for creating your own quants)

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.

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