← back to catalog · registered 2026-10-26 11:01

mradermacher/llama32-1b-llm-abliteration-GGUF

mradermacher 1B GGUF second-order
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Response includes
  • classification m8
  • files 14
  • author_summary 3407 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

No other method signals detected in this model.
Confidence
HIGH
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)
  • is_gguf=1
  • base_model='muhammadrafifatihulihsan/llama32-1b-llm-abliteration' (source unknown method)
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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Model age
today
created 2026-10-26

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

License
llama3.2
Languages
en
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf llama abliteration ollama en base_model:muhammadrafifatihulihsan/llama32-1b-llm-abliteration base_model:quantized:muhammadrafifatihulihsan/llama32-1b-llm-abliteration license:llama3.2 endpoints_compatible region:us conversational

Related

Total size
12.9 GB
Files
14
Quantizations
9
Registered
2026-10-26 11:01
Last updated on HF
2026-10-26 11:30

Files by quantization

F16 1 file 2.80 GB
llama32-1b-llm-abliteration.f16.gguf 2.80 GB a20f7a82 download
Q8_0 1 file 1.49 GB
llama32-1b-llm-abliteration.Q8_0.gguf 1.49 GB a1719d80 download
Q6_K 1 file 1.15 GB
llama32-1b-llm-abliteration.Q6_K.gguf 1.15 GB f4ee0f16 download
Q5_K 2 files 2.02 GB
llama32-1b-llm-abliteration.Q5_K_M.gguf 1.02 GB b471bf6f download
llama32-1b-llm-abliteration.Q5_K_S.gguf 1023 MB da74b1a1 download
Q4_K 2 files 1.75 GB
llama32-1b-llm-abliteration.Q4_K_M.gguf 911 MB 5c1faee0 download
llama32-1b-llm-abliteration.Q4_K_S.gguf 881 MB 08e6d14e download
IQ4 1 file 847 MB
llama32-1b-llm-abliteration.IQ4_XS.gguf 847 MB 45f34d1c download
Q3_K 3 files 2.24 GB
llama32-1b-llm-abliteration.Q3_K_L.gguf 806 MB 4da83156 download
llama32-1b-llm-abliteration.Q3_K_M.gguf 766 MB 7825b9c2 download
llama32-1b-llm-abliteration.Q3_K_S.gguf 720 MB 0ae70378 download
Q2_K 1 file 636 MB
llama32-1b-llm-abliteration.Q2_K.gguf 636 MB 787d2b8b download
Auxiliary files 2 files 6.29 KB
README.md 3.92 KB b7b96a4e download
.gitattributes 2.37 KB 57f94e44 download

README current version from Hugging Face


base_model: muhammadrafifatihulihsan/llama32-1b-llm-abliteration
language:

  • en
    library_name: transformers
    license: llama3.2
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • llama
  • abliteration
  • gguf
  • ollama

About

static quants of https://huggingface.co/muhammadrafifatihulihsan/llama32-1b-llm-abliteration

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 0.8
GGUF Q3_K_S 0.9
GGUF Q3_K_M 0.9 lower quality
GGUF Q3_K_L 0.9
GGUF IQ4_XS 1.0
GGUF Q4_K_S 1.0 fast, recommended
GGUF Q4_K_M 1.1 fast, recommended
GGUF Q5_K_S 1.2
GGUF Q5_K_M 1.2
GGUF Q6_K 1.3 very good quality
GGUF Q8_0 1.7 fast, best quality
GGUF f16 3.1 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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