← back to catalog · registered 2026-11-08 20:02

mradermacher/LFM3-1.7B-Heretic-Abliterated-GGUF

mradermacher 1.7B GGUF second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FLFM3-1.7B-Heretic-Abliterated-GGUF"
Response includes
  • classification m3
  • files 14
  • author_summary 3501 models
  • readme_text full
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · 30-day
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Likes
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Model age
today
created 2026-11-08
Downloads over time
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00110 on Nov 80 on Nov 9Nov
Nov 8 → Nov 9 · 2 snapshots · spans 1 day

Genealogy 0 direct forks

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Metadata

License
other
Languages
en ar zh fr de it ja ko pt es vi th id hi ru pl
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf liquid lfm3 edge conversational custom_code heretic abliterated uncensored en ar

Related

Total size
14.8 GB
Files
14
Quantizations
9
Registered
2026-11-08 20:02
Last updated on HF
2026-11-08 19:50

Files by quantization

F16 1 file 3.23 GB
LFM3-1.7B-Heretic-Abliterated.f16.gguf 3.23 GB 5fc09bbf download
Q8_0 1 file 1.72 GB
LFM3-1.7B-Heretic-Abliterated.Q8_0.gguf 1.72 GB 0b72f931 download
Q6_K 1 file 1.33 GB
LFM3-1.7B-Heretic-Abliterated.Q6_K.gguf 1.33 GB 934c950c download
Q5_K 2 files 2.32 GB
LFM3-1.7B-Heretic-Abliterated.Q5_K_M.gguf 1.17 GB a0f83b0a download
LFM3-1.7B-Heretic-Abliterated.Q5_K_S.gguf 1.15 GB 3f4344bc download
Q4_K 2 files 2.01 GB
LFM3-1.7B-Heretic-Abliterated.Q4_K_M.gguf 1.02 GB a10ab590 download
LFM3-1.7B-Heretic-Abliterated.Q4_K_S.gguf 1007 MB 618f8608 download
IQ4 1 file 964 MB
LFM3-1.7B-Heretic-Abliterated.IQ4_XS.gguf 964 MB 38fda225 download
Q3_K 3 files 2.55 GB
LFM3-1.7B-Heretic-Abliterated.Q3_K_L.gguf 922 MB f0ccd1b1 download
LFM3-1.7B-Heretic-Abliterated.Q3_K_M.gguf 873 MB 6086950c download
LFM3-1.7B-Heretic-Abliterated.Q3_K_S.gguf 815 MB ba3a7537 download
Q2_K 1 file 715 MB
LFM3-1.7B-Heretic-Abliterated.Q2_K.gguf 715 MB a606fb2d download
Auxiliary files 2 files 6.55 KB
README.md 4.16 KB 214e1a1e download
.gitattributes 2.39 KB 0308d883 download

README current version from Hugging Face


base_model: Vortecks/LFM3-1.7B-Heretic-Abliterated
language:

  • en
  • ar
  • zh
  • fr
  • de
  • it
  • ja
  • ko
  • pt
  • es
  • vi
  • th
  • id
  • hi
  • ru
  • pl
    library_name: transformers
    license: other
    license_link: https://huggingface.co/LiquidAI/LFM3-1.7B/blob/main/LICENSE
    license_name: lfm1.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • liquid
  • lfm3
  • edge
  • conversational
  • custom_code
  • heretic
  • abliterated
  • uncensored

About

static quants of https://huggingface.co/Vortecks/LFM3-1.7B-Heretic-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.

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