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mradermacher/Felldude-Uncensored-Ministral3-3B-bf16-i1-GGUF

mradermacher 3B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 10,445
  • 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='dummy9996/Felldude-Uncensored-Ministral3-3B-bf16' (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
10K
2K last 30d - stable
Likes
2
Model age
5mo ago
created 2026-05-13
Downloads over time
Now12.2K→from2.4K↑418%
1.9K5.6K9.4K13.2K2.4K on May 1312.2K on Oct 11MayJunJulAugSepOct
May 13 → Oct 11 · 61 snapshots · spans 151 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 · 3K downloads combined

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

Metadata

Languages
en
Quantizations
BF16
Tags
transformers gguf en base_model:CuttingEdgeAI/Uncensored-Ministral-3-3B-bf16 base_model:quantized:CuttingEdgeAI/Uncensored-Ministral-3-3B-bf16 endpoints_compatible region:us imatrix conversational

Related

Total size
38.7 GB
Files
27
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2026-10-04 02:17

Files by quantization

BF16 25 files 38.7 GB
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q6_K.gguf 2.63 GB f125cab1 download
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q5_K_M.gguf 2.30 GB db0442d9 download
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q5_K_S.gguf 2.25 GB 002ab02f download
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q4_1.gguf 2.08 GB f1aee14e download
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q4_K_M.gguf 2.00 GB d7b46c46 download
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q4_K_S.gguf 1.91 GB bf1c7f2f download
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ4_NL.gguf 1.91 GB 695120c8 download
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q4_0.gguf 1.91 GB 9b125dfc download
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ4_XS.gguf 1.82 GB ac3e2c16 download
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q3_K_L.gguf 1.80 GB 2ec66a40 download
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q3_K_M.gguf 1.67 GB 8f9a492a download
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ3_M.gguf 1.59 GB c8e1a74b download
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ3_S.gguf 1.54 GB 4554cd41 download
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q3_K_S.gguf 1.53 GB 01aaaf45 download
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ3_XS.gguf 1.47 GB 77832d95 download
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q2_K.gguf 1.36 GB ada30dd3 download
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ3_XXS.gguf 1.35 GB 1df176e9 download
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q2_K_S.gguf 1.28 GB 222a234a download
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ2_M.gguf 1.23 GB 77efd349 download
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ2_S.gguf 1.16 GB ebafadaf download
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ2_XS.gguf 1.10 GB b95d0ffd download
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ2_XXS.gguf 1.02 GB 9293a2eb download
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ1_M.gguf 951 MB 4d8fc0ba download
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ1_S.gguf 895 MB 1c531ef7 download
Felldude-Uncensored-Ministral3-3B-bf16.imatrix.gguf 2.87 MB 02b0ee02 download
Auxiliary files 2 files 10.8 KB
README.md 7.12 KB a53cf68d download
.gitattributes 3.67 KB d02aae69 download

README current version from Hugging Face


base_model: dummy9996/Felldude-Uncensored-Ministral3-3B-bf16
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/dummy9996/Felldude-Uncensored-Ministral3-3B-bf16

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

static quants are available at https://huggingface.co/mradermacher/Felldude-Uncensored-Ministral3-3B-bf16-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 1.0 for the desperate
GGUF i1-IQ1_M 1.1 mostly desperate
GGUF i1-IQ2_XXS 1.2
GGUF i1-IQ2_XS 1.3
GGUF i1-IQ2_S 1.3
GGUF i1-IQ2_M 1.4
GGUF i1-Q2_K_S 1.5 very low quality
GGUF i1-IQ3_XXS 1.5 lower quality
GGUF i1-Q2_K 1.6 IQ3_XXS probably better
GGUF i1-IQ3_XS 1.7
GGUF i1-Q3_K_S 1.7 IQ3_XS probably better
GGUF i1-IQ3_S 1.8 beats Q3_K*
GGUF i1-IQ3_M 1.8
GGUF i1-Q3_K_M 1.9 IQ3_S probably better
GGUF i1-Q3_K_L 2.0 IQ3_M probably better
GGUF i1-IQ4_XS 2.1
GGUF i1-Q4_0 2.1 fast, low quality
GGUF i1-IQ4_NL 2.2 prefer IQ4_XS
GGUF i1-Q4_K_S 2.2 optimal size/speed/quality
GGUF i1-Q4_K_M 2.2 fast, recommended
GGUF i1-Q4_1 2.3
GGUF i1-Q5_K_S 2.5
GGUF i1-Q5_K_M 2.6
GGUF i1-Q6_K 2.9 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 6 versions

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

  1. 2026-10-04auto-patch README.md579bf4c6.9 KB
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  2. 2026-09-04auto-patch README.md80a29657.1 KB
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  3. 2026-07-07auto-patch README.mda9994957.1 KB
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  4. 2026-06-30auto-patch README.mdb0dacb47 KB
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  5. 2026-05-13auto-patch README.md547519c7.1 KB
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  6. 2026-05-13uploaded from nico112e4da6494 B
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