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mradermacher/Qwen3-14B-abliterated-i1-GGUF

mradermacher Qwen 14B GGUF second-order 41K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 10,275
  • 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='mlabonne/Qwen3-14B-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.

What is a refusal direction? →
Downloads · lifetime
10K
1K last 30d - stable
Likes
6
Model age
17mo ago
created 2025-04-30
Downloads over time
Now10.9K→from792↑1,274%
2884.2K8K11.9K792 on Apr 30, 202510.9K on Oct 12Apr '25Jul '25Oct '25JanAprJulOct
Apr 30, 2025 → Oct 12 · 117 snapshots · spans 530 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 · 12K downloads combined

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

Metadata

License
apache-2.0
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliteration abliterated en base_model:mlabonne/Qwen3-14B-abliterated base_model:quantized:mlabonne/Qwen3-14B-abliterated license:apache-2.0 endpoints_compatible region:us imatrix conversational

Related

Total size
159 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-07-11 04:05

Files by quantization

Q6_K 1 file 11.3 GB
Qwen3-14B-abliterated.i1-Q6_K.gguf 11.3 GB 49b90f29 download
Q5_K 2 files 19.4 GB
Qwen3-14B-abliterated.i1-Q5_K_M.gguf 9.79 GB 5ab8084a download
Qwen3-14B-abliterated.i1-Q5_K_S.gguf 9.56 GB 48a65d90 download
Q4 2 files 16.7 GB
Qwen3-14B-abliterated.i1-Q4_1.gguf 8.74 GB 40bcf023 download
Qwen3-14B-abliterated.i1-Q4_0.gguf 7.96 GB 73f0d79e download
Q4_K 2 files 16.4 GB
Qwen3-14B-abliterated.i1-Q4_K_M.gguf 8.38 GB 13ee6708 download
Qwen3-14B-abliterated.i1-Q4_K_S.gguf 7.98 GB 2cfe60c4 download
IQ4 2 files 15.5 GB
Qwen3-14B-abliterated.i1-IQ4_NL.gguf 7.95 GB fb02470c download
Qwen3-14B-abliterated.i1-IQ4_XS.gguf 7.55 GB fe28f047 download
Q3_K 3 files 20.4 GB
Qwen3-14B-abliterated.i1-Q3_K_L.gguf 7.36 GB 8d8df6ad download
Qwen3-14B-abliterated.i1-Q3_K_M.gguf 6.82 GB 93fe15ee download
Qwen3-14B-abliterated.i1-Q3_K_S.gguf 6.20 GB 2bfca5c4 download
IQ3 4 files 24.1 GB
Qwen3-14B-abliterated.i1-IQ3_M.gguf 6.41 GB c1ad44c6 download
Qwen3-14B-abliterated.i1-IQ3_S.gguf 6.23 GB 39990b13 download
Qwen3-14B-abliterated.i1-IQ3_XS.gguf 5.94 GB c0f3eb2d download
Qwen3-14B-abliterated.i1-IQ3_XXS.gguf 5.53 GB de9c905e download
Q2_K 2 files 10.4 GB
Qwen3-14B-abliterated.i1-Q2_K.gguf 5.36 GB 7f64de83 download
Qwen3-14B-abliterated.i1-Q2_K_S.gguf 5.02 GB 11cc5c37 download
IQ2 4 files 18.0 GB
Qwen3-14B-abliterated.i1-IQ2_M.gguf 4.96 GB 48171903 download
Qwen3-14B-abliterated.i1-IQ2_S.gguf 4.62 GB 0b86d101 download
Qwen3-14B-abliterated.i1-IQ2_XS.gguf 4.37 GB dee97ed9 download
Qwen3-14B-abliterated.i1-IQ2_XXS.gguf 4.00 GB 35c53ec7 download
IQ1 2 files 6.92 GB
Qwen3-14B-abliterated.i1-IQ1_M.gguf 3.59 GB 2f0d6356 download
Qwen3-14B-abliterated.i1-IQ1_S.gguf 3.33 GB 20083f64 download
Auxiliary files 3 files 7.36 MB
imatrix.dat 7.35 MB b472283f download
README.md 5.76 KB 3f0bc37b download
.gitattributes 3.23 KB 0ff9dbc8 download

README current version from Hugging Face


base_model: mlabonne/Qwen3-14B-abliterated
language:


About

weighted/imatrix quants of https://huggingface.co/mlabonne/Qwen3-14B-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Qwen3-14B-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 i1-IQ1_S 3.7 for the desperate
GGUF i1-IQ1_M 3.9 mostly desperate
GGUF i1-IQ2_XXS 4.4
GGUF i1-IQ2_XS 4.8
GGUF i1-IQ2_S 5.1
GGUF i1-IQ2_M 5.4
GGUF i1-Q2_K_S 5.5 very low quality
GGUF i1-Q2_K 5.9 IQ3_XXS probably better
GGUF i1-IQ3_XXS 6.0 lower quality
GGUF i1-IQ3_XS 6.5
GGUF i1-Q3_K_S 6.8 IQ3_XS probably better
GGUF i1-IQ3_S 6.8 beats Q3_K*
GGUF i1-IQ3_M 7.0
GGUF i1-Q3_K_M 7.4 IQ3_S probably better
GGUF i1-Q3_K_L 8.0 IQ3_M probably better
GGUF i1-IQ4_XS 8.2
GGUF i1-IQ4_NL 8.6 prefer IQ4_XS
GGUF i1-Q4_0 8.6 fast, low quality
GGUF i1-Q4_K_S 8.7 optimal size/speed/quality
GGUF i1-Q4_K_M 9.1 fast, recommended
GGUF i1-Q4_1 9.5
GGUF i1-Q5_K_S 10.4
GGUF i1-Q5_K_M 10.6
GGUF i1-Q6_K 12.2 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 5 versions

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

  1. 2025-07-11auto-patch README.md3295edd5.8 KB
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  2. 2025-07-10auto-patch README.md23d14665.7 KB
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  3. 2025-05-20auto-patch README.md2275fa65.6 KB
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  4. 2025-04-30auto-patch README.mdb0b32e95.5 KB
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  5. 2025-04-30uploaded from rich10d8f628238 B
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