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mradermacher/LFM2.5-2.6B-Abliterated-GGUF

mradermacher 2.6B second-order 131K ctx
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Response includes
  • classification m1
  • files 14
  • hub_downloads_all_time 1,588
  • author_summary 3365 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
2K
318 last 30d - stable
Likes
0
Model age
6w ago
created 2026-09-05
Downloads over time
Now1.8K→from0↑0%
06431.3K1.9K0 on Sep 51.8K on Oct 20SepOct
Sep 5 → Oct 20 · 46 snapshots · spans 45 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
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf liquid lfm2.5 abliteration safety instruct text-generation en base_model:PinoCookie/LFM2.5-2.6B-Abliterated base_model:quantized:PinoCookie/LFM2.5-2.6B-Abliterated license:other

Related

Total size
22.7 GB
Files
14
Quantizations
9
Registered
2026-09-05 15:03
Last updated on HF
2026-09-05 16:54

Files by quantization

F16 1 file 5.03 GB
LFM2.5-2.6B-Abliterated.f16.gguf 5.03 GB 47f573ac download
Q8_0 1 file 2.68 GB
LFM2.5-2.6B-Abliterated.Q8_0.gguf 2.68 GB 5ed2c369 download
Q6_K 1 file 2.07 GB
LFM2.5-2.6B-Abliterated.Q6_K.gguf 2.07 GB a8428520 download
Q5_K 2 files 3.57 GB
LFM2.5-2.6B-Abliterated.Q5_K_M.gguf 1.81 GB f841fc9a download
LFM2.5-2.6B-Abliterated.Q5_K_S.gguf 1.77 GB 57e894b6 download
Q4_K 2 files 3.05 GB
LFM2.5-2.6B-Abliterated.Q4_K_M.gguf 1.56 GB 3a3faf76 download
LFM2.5-2.6B-Abliterated.Q4_K_S.gguf 1.49 GB 260415d5 download
IQ4 1 file 1.42 GB
LFM2.5-2.6B-Abliterated.IQ4_XS.gguf 1.42 GB e2e571ba download
Q3_K 3 files 3.81 GB
LFM2.5-2.6B-Abliterated.Q3_K_L.gguf 1.35 GB 02ce3fe2 download
LFM2.5-2.6B-Abliterated.Q3_K_M.gguf 1.27 GB 235d7fe5 download
LFM2.5-2.6B-Abliterated.Q3_K_S.gguf 1.18 GB fb83ed75 download
Q2_K 1 file 1.02 GB
LFM2.5-2.6B-Abliterated.Q2_K.gguf 1.02 GB b988934e download
Auxiliary files 2 files 6.18 KB
README.md 3.86 KB 358fb24c download
.gitattributes 2.32 KB dc9db03d download

README current version from Hugging Face


base_model: PinoCookie/LFM2.5-2.6B-Abliterated
language:

  • en
    library_name: transformers
    license: other
    license_link: LICENSE
    license_name: lfm1.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • liquid
  • lfm2.5
  • abliteration
  • safety
  • instruct
  • text-generation

About

static quants of https://huggingface.co/PinoCookie/LFM2.5-2.6B-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 1.2
GGUF Q3_K_S 1.4
GGUF Q3_K_M 1.5 lower quality
GGUF Q3_K_L 1.6
GGUF IQ4_XS 1.6
GGUF Q4_K_S 1.7 fast, recommended
GGUF Q4_K_M 1.8 fast, recommended
GGUF Q5_K_S 2.0
GGUF Q5_K_M 2.0
GGUF Q6_K 2.3 very good quality
GGUF Q8_0 3.0 fast, best quality
GGUF f16 5.5 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. 2026-09-05auto-patch README.mde94d5f73.7 KB
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  2. 2026-09-05auto-patch README.md87254583.9 KB
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  3. 2026-09-05uploaded from back582b6a9377 B
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