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mradermacher/Huihui-Fara-7B-abliterated-i1-GGUF

mradermacher 7B GGUF multimodal second-order 128K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 8,401
  • 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 layer-wise ablation 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='huihui-ai/Huihui-Fara-7B-abliterated' (base is huihui-ai model (M3))
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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
8K
1K last 30d - stable
Likes
0
Model age
10mo ago
created 2025-11-27
Downloads over time
Now8.8K→from1.4K↑546%
9953.9K6.7K9.6K1.4K on Nov 26, 20258.8K on Oct 11Nov '25JanMarMayJulSep
Nov 26, 2025 → Oct 11 · 85 snapshots · spans 319 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
mit
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored multimodal en base_model:huihui-ai/Huihui-Fara-7B-abliterated base_model:quantized:huihui-ai/Huihui-Fara-7B-abliterated license:mit endpoints_compatible region:us imatrix

Related

Total size
82.9 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-06 02:33

Files by quantization

Q6_K 1 file 5.82 GB
Huihui-Fara-7B-abliterated.i1-Q6_K.gguf 5.82 GB 1ca9a8b4 download
Q5_K 2 files 10.0 GB
Huihui-Fara-7B-abliterated.i1-Q5_K_M.gguf 5.07 GB 12bf57c9 download
Huihui-Fara-7B-abliterated.i1-Q5_K_S.gguf 4.95 GB 3581584c download
Q4 2 files 8.68 GB
Huihui-Fara-7B-abliterated.i1-Q4_1.gguf 4.54 GB c962bd53 download
Huihui-Fara-7B-abliterated.i1-Q4_0.gguf 4.14 GB 0a046d1d download
Q4_K 2 files 8.51 GB
Huihui-Fara-7B-abliterated.i1-Q4_K_M.gguf 4.36 GB f2619fe4 download
Huihui-Fara-7B-abliterated.i1-Q4_K_S.gguf 4.15 GB dca29a6a download
IQ4 2 files 8.06 GB
Huihui-Fara-7B-abliterated.i1-IQ4_NL.gguf 4.13 GB 2b54d8ed download
Huihui-Fara-7B-abliterated.i1-IQ4_XS.gguf 3.93 GB b7a1330d download
Q3_K 3 files 10.6 GB
Huihui-Fara-7B-abliterated.i1-Q3_K_L.gguf 3.81 GB ce7f3d2e download
Huihui-Fara-7B-abliterated.i1-Q3_K_M.gguf 3.55 GB 46d77257 download
Huihui-Fara-7B-abliterated.i1-Q3_K_S.gguf 3.25 GB 89b064c5 download
IQ3 4 files 12.6 GB
Huihui-Fara-7B-abliterated.i1-IQ3_M.gguf 3.33 GB af04796c download
Huihui-Fara-7B-abliterated.i1-IQ3_S.gguf 3.26 GB 851c2e0d download
Huihui-Fara-7B-abliterated.i1-IQ3_XS.gguf 3.12 GB 56d70c2c download
Huihui-Fara-7B-abliterated.i1-IQ3_XXS.gguf 2.90 GB d23691b5 download
Q2_K 2 files 5.45 GB
Huihui-Fara-7B-abliterated.i1-Q2_K.gguf 2.81 GB 67bbae5d download
Huihui-Fara-7B-abliterated.i1-Q2_K_S.gguf 2.64 GB 2f70d5b6 download
IQ2 4 files 9.42 GB
Huihui-Fara-7B-abliterated.i1-IQ2_M.gguf 2.59 GB 41f30eb4 download
Huihui-Fara-7B-abliterated.i1-IQ2_S.gguf 2.42 GB 2aa224e0 download
Huihui-Fara-7B-abliterated.i1-IQ2_XS.gguf 2.30 GB 9b62e24a download
Huihui-Fara-7B-abliterated.i1-IQ2_XXS.gguf 2.12 GB 020227f4 download
IQ1 2 files 3.67 GB
Huihui-Fara-7B-abliterated.i1-IQ1_M.gguf 1.90 GB 7bde6046 download
Huihui-Fara-7B-abliterated.i1-IQ1_S.gguf 1.77 GB 99765783 download
Auxiliary files 3 files 4.36 MB
Huihui-Fara-7B-abliterated.imatrix.gguf 4.35 MB 16deb4a5 download
README.md 6.53 KB 1caad741 download
.gitattributes 3.37 KB 5c86342b download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Fara-7B-abliterated
language:

  • en
    library_name: transformers
    license: mit
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored
  • multimodal

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-Fara-7B-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Huihui-Fara-7B-abliterated-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. 2025-12-06auto-patch README.mdb2b26dd6.5 KB
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  2. 2025-11-27auto-patch README.md22de8de6.5 KB
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  3. 2025-11-27uploaded from nico19ea8c6f482 B
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