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mradermacher/Fara-7B-Abliterated-v2-i1-GGUF

mradermacher 7B GGUF second-order 128K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 3,116
  • author_summary 3324 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='josephmayo/Fara-7B-Abliterated-v2' (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 · lifetime
3K
1K last 30d - stable
Likes
0
Model age
4mo ago
created 2026-05-26
Downloads over time
Now3.7K→from1.9K↑88%
1.9K2.5K3.2K3.8K1.9K on Jun 103.7K on Oct 11JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 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 · 2K downloads combined

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

Metadata

License
other
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliteration refusal-removal uncensored research qwen2_5_vl orthogonalization en base_model:josephmayo/Fara-7B-Abliterated-v2 base_model:quantized:josephmayo/Fara-7B-Abliterated-v2 license:other

Related

Total size
82.9 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-05-26 13:00

Files by quantization

Q6_K 1 file 5.82 GB
Fara-7B-Abliterated-v2.i1-Q6_K.gguf 5.82 GB 1c4547d0 download
Q5_K 2 files 10.0 GB
Fara-7B-Abliterated-v2.i1-Q5_K_M.gguf 5.07 GB f3fc1348 download
Fara-7B-Abliterated-v2.i1-Q5_K_S.gguf 4.95 GB ea9b1735 download
Q4 2 files 8.68 GB
Fara-7B-Abliterated-v2.i1-Q4_1.gguf 4.54 GB 1c3eba32 download
Fara-7B-Abliterated-v2.i1-Q4_0.gguf 4.14 GB a1ea6fdc download
Q4_K 2 files 8.51 GB
Fara-7B-Abliterated-v2.i1-Q4_K_M.gguf 4.36 GB 7be47649 download
Fara-7B-Abliterated-v2.i1-Q4_K_S.gguf 4.15 GB 39a4baff download
IQ4 2 files 8.06 GB
Fara-7B-Abliterated-v2.i1-IQ4_NL.gguf 4.13 GB b56980df download
Fara-7B-Abliterated-v2.i1-IQ4_XS.gguf 3.93 GB 0efdf98c download
Q3_K 3 files 10.6 GB
Fara-7B-Abliterated-v2.i1-Q3_K_L.gguf 3.81 GB 436f0a1a download
Fara-7B-Abliterated-v2.i1-Q3_K_M.gguf 3.55 GB 3e210544 download
Fara-7B-Abliterated-v2.i1-Q3_K_S.gguf 3.25 GB e9a12ed9 download
IQ3 4 files 12.6 GB
Fara-7B-Abliterated-v2.i1-IQ3_M.gguf 3.33 GB 85907c4e download
Fara-7B-Abliterated-v2.i1-IQ3_S.gguf 3.26 GB 9333d3fe download
Fara-7B-Abliterated-v2.i1-IQ3_XS.gguf 3.12 GB df92ae2f download
Fara-7B-Abliterated-v2.i1-IQ3_XXS.gguf 2.90 GB 399225e6 download
Q2_K 2 files 5.45 GB
Fara-7B-Abliterated-v2.i1-Q2_K.gguf 2.81 GB 365b0783 download
Fara-7B-Abliterated-v2.i1-Q2_K_S.gguf 2.64 GB 6b20a77d download
IQ2 4 files 9.42 GB
Fara-7B-Abliterated-v2.i1-IQ2_M.gguf 2.59 GB ffc72211 download
Fara-7B-Abliterated-v2.i1-IQ2_S.gguf 2.42 GB 9ba6b5fc download
Fara-7B-Abliterated-v2.i1-IQ2_XS.gguf 2.30 GB b29901c4 download
Fara-7B-Abliterated-v2.i1-IQ2_XXS.gguf 2.12 GB 7995362b download
IQ1 2 files 3.67 GB
Fara-7B-Abliterated-v2.i1-IQ1_M.gguf 1.90 GB f7d6f66c download
Fara-7B-Abliterated-v2.i1-IQ1_S.gguf 1.77 GB 935d42e6 download
Auxiliary files 3 files 4.36 MB
Fara-7B-Abliterated-v2.imatrix.gguf 4.35 MB 7db66a3b download
README.md 6.37 KB 62be13a9 download
.gitattributes 3.28 KB 4b914dea download

README current version from Hugging Face


base_model: josephmayo/Fara-7B-Abliterated-v2
language:

  • en
    library_name: transformers
    license: other
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliteration
  • refusal-removal
  • uncensored
  • research
  • qwen2_5_vl
  • orthogonalization

About

weighted/imatrix quants of https://huggingface.co/josephmayo/Fara-7B-Abliterated-v2

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

static quants are available at https://huggingface.co/mradermacher/Fara-7B-Abliterated-v2-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 2.0 for the desperate
GGUF i1-IQ1_M 2.1 mostly desperate
GGUF i1-IQ2_XXS 2.4
GGUF i1-IQ2_XS 2.6
GGUF i1-IQ2_S 2.7
GGUF i1-IQ2_M 2.9
GGUF i1-Q2_K_S 2.9 very low quality
GGUF i1-Q2_K 3.1 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.2 lower quality
GGUF i1-IQ3_XS 3.4
GGUF i1-Q3_K_S 3.6 IQ3_XS probably better
GGUF i1-IQ3_S 3.6 beats Q3_K*
GGUF i1-IQ3_M 3.7
GGUF i1-Q3_K_M 3.9 IQ3_S probably better
GGUF i1-Q3_K_L 4.2 IQ3_M probably better
GGUF i1-IQ4_XS 4.3
GGUF i1-IQ4_NL 4.5 prefer IQ4_XS
GGUF i1-Q4_0 4.5 fast, low quality
GGUF i1-Q4_K_S 4.6 optimal size/speed/quality
GGUF i1-Q4_K_M 4.8 fast, recommended
GGUF i1-Q4_1 5.0
GGUF i1-Q5_K_S 5.4
GGUF i1-Q5_K_M 5.5
GGUF i1-Q6_K 6.4 practically like static Q6_K

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.

README history 3 versions

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

  1. 2026-05-26auto-patch README.md5f7beae6.4 KB
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  2. 2026-05-26auto-patch README.md379ac365.3 KB
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  3. 2026-05-26uploaded from nico1c168d2f480 B
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