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mradermacher/Ling-3.0-tiny-Uncensored-Abliterated-i1-GGUF

mradermacher GGUF MoE second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 5,023
  • 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='Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated' (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
5K
3K last 30d - active
Likes
3
Model age
7w ago
created 2026-08-21
Downloads over time
Now5.7K→from419↑1,271%
1532.2K4.2K6.3K419 on Aug 195.7K on Oct 11AugSepOct
Aug 19 → Oct 11 · 48 snapshots · spans 53 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 · 6K 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 ling bailing-moe uncensored abliterated uncensored-llm no-refusal moe mixture-of-experts linear-attention apple-silicon

Related

Total size
83.6 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-08-21 07:24

Files by quantization

Q6_K 1 file 6.05 GB
Ling-3.0-tiny-Uncensored-Abliterated.i1-Q6_K.gguf 6.05 GB cf841080 download
Q5_K 2 files 10.4 GB
Ling-3.0-tiny-Uncensored-Abliterated.i1-Q5_K_M.gguf 5.25 GB e94e25d6 download
Ling-3.0-tiny-Uncensored-Abliterated.i1-Q5_K_S.gguf 5.11 GB 7748ae14 download
Q4 2 files 8.89 GB
Ling-3.0-tiny-Uncensored-Abliterated.i1-Q4_1.gguf 4.66 GB c01c3370 download
Ling-3.0-tiny-Uncensored-Abliterated.i1-Q4_0.gguf 4.23 GB b7108f24 download
Q4_K 2 files 8.73 GB
Ling-3.0-tiny-Uncensored-Abliterated.i1-Q4_K_M.gguf 4.49 GB c693b547 download
Ling-3.0-tiny-Uncensored-Abliterated.i1-Q4_K_S.gguf 4.24 GB 31ed1bb5 download
IQ4 2 files 8.21 GB
Ling-3.0-tiny-Uncensored-Abliterated.i1-IQ4_NL.gguf 4.22 GB 29eb3662 download
Ling-3.0-tiny-Uncensored-Abliterated.i1-IQ4_XS.gguf 3.99 GB eb7ebc5e download
Q3_K 3 files 10.7 GB
Ling-3.0-tiny-Uncensored-Abliterated.i1-Q3_K_L.gguf 3.86 GB 98d4158d download
Ling-3.0-tiny-Uncensored-Abliterated.i1-Q3_K_M.gguf 3.58 GB 80372765 download
Ling-3.0-tiny-Uncensored-Abliterated.i1-Q3_K_S.gguf 3.27 GB de7ca2f1 download
IQ3 4 files 12.6 GB
Ling-3.0-tiny-Uncensored-Abliterated.i1-IQ3_M.gguf 3.31 GB fa962028 download
Ling-3.0-tiny-Uncensored-Abliterated.i1-IQ3_S.gguf 3.27 GB 50a7cecb download
Ling-3.0-tiny-Uncensored-Abliterated.i1-IQ3_XS.gguf 3.11 GB 94cc26cf download
Ling-3.0-tiny-Uncensored-Abliterated.i1-IQ3_XXS.gguf 2.91 GB 3363b980 download
Q2_K 2 files 5.38 GB
Ling-3.0-tiny-Uncensored-Abliterated.i1-Q2_K.gguf 2.78 GB 387680e1 download
Ling-3.0-tiny-Uncensored-Abliterated.i1-Q2_K_S.gguf 2.59 GB 5534e9e0 download
IQ2 4 files 9.15 GB
Ling-3.0-tiny-Uncensored-Abliterated.i1-IQ2_M.gguf 2.52 GB 7dec5be4 download
Ling-3.0-tiny-Uncensored-Abliterated.i1-IQ2_S.gguf 2.31 GB 1de43552 download
Ling-3.0-tiny-Uncensored-Abliterated.i1-IQ2_XS.gguf 2.27 GB 8b13046b download
Ling-3.0-tiny-Uncensored-Abliterated.i1-IQ2_XXS.gguf 2.06 GB e6b66082 download
IQ1 2 files 3.44 GB
Ling-3.0-tiny-Uncensored-Abliterated.i1-IQ1_M.gguf 1.80 GB 61089926 download
Ling-3.0-tiny-Uncensored-Abliterated.i1-IQ1_S.gguf 1.64 GB a6803ef2 download
Auxiliary files 3 files 42.0 MB
Ling-3.0-tiny-Uncensored-Abliterated.imatrix.gguf 42.0 MB 1a437695 download
README.md 7.05 KB 48439413 download
.gitattributes 3.62 KB 1f341241 download

README current version from Hugging Face


base_model: Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated
language:

  • en
    library_name: transformers
    license: mit
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • ling
  • bailing-moe
  • uncensored
  • abliterated
  • uncensored-llm
  • no-refusal
  • moe
  • mixture-of-experts
  • linear-attention
  • apple-silicon
  • mps
  • reasoning
  • cybersecurity
  • red-teaming

About

weighted/imatrix quants of https://huggingface.co/Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated

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

static quants are available at https://huggingface.co/mradermacher/Ling-3.0-tiny-Uncensored-Abliterated-GGUF

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 1.9 for the desperate
GGUF i1-IQ1_M 2.0 mostly desperate
GGUF i1-IQ2_XXS 2.3
GGUF i1-IQ2_XS 2.5
GGUF i1-IQ2_S 2.6
GGUF i1-IQ2_M 2.8
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-IQ3_S 3.6 beats Q3_K*
GGUF i1-Q3_K_S 3.6 IQ3_XS probably better
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 4.4
GGUF i1-IQ4_NL 4.6 prefer IQ4_XS
GGUF i1-Q4_0 4.6 fast, low quality
GGUF i1-Q4_K_S 4.7 optimal size/speed/quality
GGUF i1-Q4_K_M 4.9 fast, recommended
GGUF i1-Q4_1 5.1
GGUF i1-Q5_K_S 5.6
GGUF i1-Q5_K_M 5.7
GGUF i1-Q6_K 6.6 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. 2026-08-21auto-patch README.mdb5c32587.1 KB
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  2. 2026-08-21auto-patch README.md0f0c5814.3 KB
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  3. 2026-08-21uploaded from rich194736c0495 B
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