← back to catalog · registered 2026-10-17 05:59

mradermacher/Vietnamese-4B-Chat-abliterated-GGUF

mradermacher 4B GGUF second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FVietnamese-4B-Chat-abliterated-GGUF"
Response includes
  • classification m-uncensored
  • files 14
  • author_summary 3353 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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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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Model age
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created 2026-10-17

Genealogy 0 direct forks

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Variants by this author 2 formats · 0 downloads combined

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

Metadata

License
other
Languages
vi en
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf abliterated uncensored vietnamese qwen3.5 vi en base_model:N14QM/Vietnamese-4B-Chat-abliterated base_model:quantized:N14QM/Vietnamese-4B-Chat-abliterated license:other endpoints_compatible

Related

Total size
36.2 GB
Files
14
Quantizations
9
Registered
2026-10-17 05:59
Last updated on HF
2026-10-17 05:25

Files by quantization

F16 1 file 7.85 GB
Vietnamese-4B-Chat-abliterated.f16.gguf 7.85 GB 25de1fd8 download
Q8_0 1 file 4.17 GB
Vietnamese-4B-Chat-abliterated.Q8_0.gguf 4.17 GB 1802674b download
Q6_K 1 file 3.23 GB
Vietnamese-4B-Chat-abliterated.Q6_K.gguf 3.23 GB 1dfbe10f download
Q5_K 2 files 5.65 GB
Vietnamese-4B-Chat-abliterated.Q5_K_M.gguf 2.86 GB f5e279aa download
Vietnamese-4B-Chat-abliterated.Q5_K_S.gguf 2.78 GB 1aa1f8c4 download
Q4_K 2 files 4.91 GB
Vietnamese-4B-Chat-abliterated.Q4_K_M.gguf 2.52 GB bf9e9f2d download
Vietnamese-4B-Chat-abliterated.Q4_K_S.gguf 2.39 GB 5aff87ba download
IQ4 1 file 2.36 GB
Vietnamese-4B-Chat-abliterated.IQ4_XS.gguf 2.36 GB 82d6a88f download
Q3_K 3 files 6.29 GB
Vietnamese-4B-Chat-abliterated.Q3_K_L.gguf 2.26 GB 295cfa48 download
Vietnamese-4B-Chat-abliterated.Q3_K_M.gguf 2.11 GB 2f736114 download
Vietnamese-4B-Chat-abliterated.Q3_K_S.gguf 1.93 GB 40ff6ead download
Q2_K 1 file 1.78 GB
Vietnamese-4B-Chat-abliterated.Q2_K.gguf 1.78 GB 4b1012a2 download
Auxiliary files 2 files 6.54 KB
README.md 4.14 KB aa7c80c6 download
.gitattributes 2.40 KB 4aaed68b download

README current version from Hugging Face


base_model: N14QM/Vietnamese-4B-Chat-abliterated
language:

  • vi
  • en
    library_name: transformers
    license: other
    license_name: ethical-inheritance-license-1.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored
  • vietnamese
  • qwen3.5
  • gguf

About

static quants of https://huggingface.co/N14QM/Vietnamese-4B-Chat-abliterated

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Vietnamese-4B-Chat-abliterated-i1-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 Q2_K 2.0
GGUF Q3_K_S 2.2
GGUF Q3_K_M 2.4 lower quality
GGUF Q3_K_L 2.5
GGUF IQ4_XS 2.6
GGUF Q4_K_S 2.7 fast, recommended
GGUF Q4_K_M 2.8 fast, recommended
GGUF Q5_K_S 3.1
GGUF Q5_K_M 3.2
GGUF Q6_K 3.6 very good quality
GGUF Q8_0 4.6 fast, best quality
GGUF f16 8.5 16 bpw, overkill

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.

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