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

mradermacher/Josiefied-Qwen3-0.6B-abliterated-v2-i1-GGUF

mradermacher Qwen 600M GGUF second-order 41K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 3,653
  • 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='Goekdeniz-Guelmez/Josiefied-Qwen3-0.6B-abliterated-v2' (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
4K
526 last 30d - stable
Likes
0
Model age
8mo ago
created 2026-02-09
Downloads over time
Now3.8K→from2.1K↑82%
2K2.7K3.3K4K2.1K on Feb 113.8K on Oct 11FebAprJunAugOct
Feb 11 → Oct 11 · 74 snapshots · spans 242 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 · 796 downloads combined

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

Metadata

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf en base_model:Goekdeniz-Guelmez/Josiefied-Qwen3-0.6B-abliterated-v2 base_model:quantized:Goekdeniz-Guelmez/Josiefied-Qwen3-0.6B-abliterated-v2 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
2026-02-09 21:12

Files by quantization

Q6_K 1 file 472 MB
Josiefied-Qwen3-0.6B-abliterated-v2.i1-Q6_K.gguf 472 MB eeb7b864 download
Q5_K 2 files 840 MB
Josiefied-Qwen3-0.6B-abliterated-v2.i1-Q5_K_M.gguf 424 MB e67bc023 download
Josiefied-Qwen3-0.6B-abliterated-v2.i1-Q5_K_S.gguf 416 MB e391eceb download
Q4 2 files 755 MB
Josiefied-Qwen3-0.6B-abliterated-v2.i1-Q4_1.gguf 390 MB 094ff093 download
Josiefied-Qwen3-0.6B-abliterated-v2.i1-Q4_0.gguf 364 MB 38f09320 download
Q4_K 2 files 744 MB
Josiefied-Qwen3-0.6B-abliterated-v2.i1-Q4_K_M.gguf 378 MB 3a2aff88 download
Josiefied-Qwen3-0.6B-abliterated-v2.i1-Q4_K_S.gguf 366 MB 57b83d6c download
IQ4 2 files 715 MB
Josiefied-Qwen3-0.6B-abliterated-v2.i1-IQ4_NL.gguf 364 MB 08671578 download
Josiefied-Qwen3-0.6B-abliterated-v2.i1-IQ4_XS.gguf 351 MB 7a47fc88 download
Q3_K 3 files 991 MB
Josiefied-Qwen3-0.6B-abliterated-v2.i1-Q3_K_L.gguf 351 MB 5c0c4be7 download
Josiefied-Qwen3-0.6B-abliterated-v2.i1-Q3_K_M.gguf 331 MB cd16f2c5 download
Josiefied-Qwen3-0.6B-abliterated-v2.i1-Q3_K_S.gguf 308 MB 9184a783 download
IQ3 4 files 1.16 GB
Josiefied-Qwen3-0.6B-abliterated-v2.i1-IQ3_M.gguf 320 MB 2a095875 download
Josiefied-Qwen3-0.6B-abliterated-v2.i1-IQ3_S.gguf 308 MB e27c95ea download
Josiefied-Qwen3-0.6B-abliterated-v2.i1-IQ3_XS.gguf 298 MB 28022428 download
Josiefied-Qwen3-0.6B-abliterated-v2.i1-IQ3_XXS.gguf 266 MB d0a473a9 download
Q2_K 2 files 550 MB
Josiefied-Qwen3-0.6B-abliterated-v2.i1-Q2_K.gguf 283 MB 94c721ef download
Josiefied-Qwen3-0.6B-abliterated-v2.i1-Q2_K_S.gguf 268 MB 295ac364 download
IQ2 4 files 945 MB
Josiefied-Qwen3-0.6B-abliterated-v2.i1-IQ2_M.gguf 253 MB 2891f55a download
Josiefied-Qwen3-0.6B-abliterated-v2.i1-IQ2_S.gguf 242 MB bbc80868 download
Josiefied-Qwen3-0.6B-abliterated-v2.i1-IQ2_XS.gguf 231 MB 117f6dce download
Josiefied-Qwen3-0.6B-abliterated-v2.i1-IQ2_XXS.gguf 219 MB 14038fe6 download
IQ1 2 files 404 MB
Josiefied-Qwen3-0.6B-abliterated-v2.i1-IQ1_M.gguf 206 MB 1d430dae download
Josiefied-Qwen3-0.6B-abliterated-v2.i1-IQ1_S.gguf 198 MB 63855931 download
Auxiliary files 3 files 1.13 MB
Josiefied-Qwen3-0.6B-abliterated-v2.imatrix.gguf 1.12 MB bf007093 download
README.md 6.81 KB a4c5d349 download
.gitattributes 3.59 KB 5a7f4d77 download

README current version from Hugging Face


base_model: Goekdeniz-Guelmez/Josiefied-Qwen3-0.6B-abliterated-v2
language:

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

About

weighted/imatrix quants of https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3-0.6B-abliterated-v2

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

static quants are available at https://huggingface.co/mradermacher/Josiefied-Qwen3-0.6B-abliterated-v2-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 3 versions

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

  1. 2026-02-09auto-patch README.md8c4da676.8 KB
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  2. 2026-02-09auto-patch README.md7dace062.4 KB
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  3. 2026-02-09uploaded from leiadeba4ab499 B
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