← back to catalog · registered 2026-08-22 13:56

mradermacher/Qwen3-0.6B-Uncensored-i1-GGUF

mradermacher Qwen 600M GGUF second-order 41K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 2,873
  • 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='s3nh/Qwen3-0.6B-Uncensored' (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
3K
455 last 30d - stable
Likes
0
Model age
6mo ago
created 2026-03-23
Downloads over time
Now3K→from1.6K↑89%
1.5K2K2.6K3.1K1.6K on Mar 253K on Oct 11MarAprMayJunJulAugSepOct
Mar 25 → Oct 11 · 68 snapshots · spans 200 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 · 839 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 en base_model:s3nh/Qwen3-0.6B-Uncensored base_model:quantized:s3nh/Qwen3-0.6B-Uncensored license:mit endpoints_compatible region:us imatrix conversational

Related

Total size
7.43 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-03-24 00:15

Files by quantization

Q6_K 1 file 472 MB
Qwen3-0.6B-Uncensored.i1-Q6_K.gguf 472 MB 83e63977 download
Q5_K 2 files 840 MB
Qwen3-0.6B-Uncensored.i1-Q5_K_M.gguf 424 MB 263eb35e download
Qwen3-0.6B-Uncensored.i1-Q5_K_S.gguf 416 MB bbc656b0 download
Q4 2 files 755 MB
Qwen3-0.6B-Uncensored.i1-Q4_1.gguf 390 MB 10c0850e download
Qwen3-0.6B-Uncensored.i1-Q4_0.gguf 364 MB 2ce7246c download
Q4_K 2 files 744 MB
Qwen3-0.6B-Uncensored.i1-Q4_K_M.gguf 378 MB 5121142f download
Qwen3-0.6B-Uncensored.i1-Q4_K_S.gguf 366 MB a6914167 download
IQ4 2 files 715 MB
Qwen3-0.6B-Uncensored.i1-IQ4_NL.gguf 364 MB a81535b7 download
Qwen3-0.6B-Uncensored.i1-IQ4_XS.gguf 351 MB 177319bd download
Q3_K 3 files 991 MB
Qwen3-0.6B-Uncensored.i1-Q3_K_L.gguf 351 MB 15e6a7e3 download
Qwen3-0.6B-Uncensored.i1-Q3_K_M.gguf 331 MB fd479e02 download
Qwen3-0.6B-Uncensored.i1-Q3_K_S.gguf 308 MB e30de9b2 download
IQ3 4 files 1.16 GB
Qwen3-0.6B-Uncensored.i1-IQ3_M.gguf 320 MB eebb044d download
Qwen3-0.6B-Uncensored.i1-IQ3_S.gguf 308 MB cdb1b60c download
Qwen3-0.6B-Uncensored.i1-IQ3_XS.gguf 298 MB 420afdab download
Qwen3-0.6B-Uncensored.i1-IQ3_XXS.gguf 266 MB 46cf84b8 download
Q2_K 2 files 550 MB
Qwen3-0.6B-Uncensored.i1-Q2_K.gguf 283 MB a55278f9 download
Qwen3-0.6B-Uncensored.i1-Q2_K_S.gguf 268 MB a8bc2166 download
IQ2 4 files 945 MB
Qwen3-0.6B-Uncensored.i1-IQ2_M.gguf 253 MB e23f1d5c download
Qwen3-0.6B-Uncensored.i1-IQ2_S.gguf 242 MB 898bb59c download
Qwen3-0.6B-Uncensored.i1-IQ2_XS.gguf 231 MB 04ffd7ff download
Qwen3-0.6B-Uncensored.i1-IQ2_XXS.gguf 219 MB e3c4e9a6 download
IQ1 2 files 404 MB
Qwen3-0.6B-Uncensored.i1-IQ1_M.gguf 206 MB 642e3c42 download
Qwen3-0.6B-Uncensored.i1-IQ1_S.gguf 198 MB ec5d07ec download
Auxiliary files 3 files 1.13 MB
Qwen3-0.6B-Uncensored.imatrix.gguf 1.12 MB 0c9fa9d2 download
README.md 6.06 KB 08a978d1 download
.gitattributes 3.25 KB 4a3c63f6 download

README current version from Hugging Face


base_model: s3nh/Qwen3-0.6B-Uncensored
language:

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

About

weighted/imatrix quants of https://huggingface.co/s3nh/Qwen3-0.6B-Uncensored

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

static quants are available at https://huggingface.co/mradermacher/Qwen3-0.6B-Uncensored-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 0.3 for the desperate
GGUF i1-IQ1_M 0.3 mostly desperate
GGUF i1-IQ2_XXS 0.3
GGUF i1-IQ2_XS 0.3
GGUF i1-IQ2_S 0.4
GGUF i1-IQ2_M 0.4
GGUF i1-IQ3_XXS 0.4 lower quality
GGUF i1-Q2_K_S 0.4 very low quality
GGUF i1-Q2_K 0.4 IQ3_XXS probably better
GGUF i1-IQ3_XS 0.4
GGUF i1-IQ3_S 0.4 beats Q3_K*
GGUF i1-Q3_K_S 0.4 IQ3_XS probably better
GGUF i1-IQ3_M 0.4
GGUF i1-Q3_K_M 0.4 IQ3_S probably better
GGUF i1-IQ4_XS 0.5
GGUF i1-Q3_K_L 0.5 IQ3_M probably better
GGUF i1-IQ4_NL 0.5 prefer IQ4_XS
GGUF i1-Q4_0 0.5 fast, low quality
GGUF i1-Q4_K_S 0.5 optimal size/speed/quality
GGUF i1-Q4_K_M 0.5 fast, recommended
GGUF i1-Q4_1 0.5
GGUF i1-Q5_K_S 0.5
GGUF i1-Q5_K_M 0.5
GGUF i1-Q6_K 0.6 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 2 versions

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

  1. 2026-03-24auto-patch README.mdd64e0bf6.1 KB
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  2. 2026-03-23uploaded from leia2cda427472 B
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