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

mradermacher/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-i1-GGUF

mradermacher Qwen 500M GGUF second-order 33K ctx
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Response includes
  • classification m8
  • files 27
  • benchmarks 5 entries
  • hub_downloads_all_time 3,562
  • 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-Qwen2.5-0.5B-Instruct-abliterated-v1' (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
554 last 30d - stable
Likes
0
Model age
20mo ago
created 2025-02-11
Downloads over time
Now3.7K→from467↑697%
3041.6K2.8K4K467 on Feb 12, 20253.7K on Oct 11Feb '25May '25Aug '25Nov '25FebMayAug
Feb 12, 2025 → Oct 11 · 126 snapshots · spans 606 days

Benchmarks

Benchmark Score Source
BBH average 0.3169023219613439 OpenLLM-v2
IFEval instruct 0.39688249400479614 OpenLLM-v2
IFEval-Prompt 0.28650646950092423 OpenLLM-v2
MATH lvl 5 0.002265861027190332 OpenLLM-v2
MMLU-Pro 0.16381316489361702 OpenLLM-v2

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 · 925 downloads combined

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

Metadata

License
apache-2.0
Languages
zho eng fra spa por deu ita rus jpn kor vie tha ara
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf chat zho eng fra spa por deu ita rus jpn

Related

Total size
9.85 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-07-23 16:01

Files by quantization

Q6_K 1 file 620 MB
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-Q6_K.gguf 620 MB 5641f25e download
Q5_K 2 files 989 MB
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-Q5_K_M.gguf 498 MB a19f8c16 download
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-Q5_K_S.gguf 491 MB 4153baec download
Q4_K 2 files 926 MB
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-Q4_K_M.gguf 469 MB f4a39b82 download
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-Q4_K_S.gguf 457 MB 42a7c096 download
Q4 2 files 848 MB
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-Q4_1.gguf 438 MB 6d46ae2c download
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-Q4_0.gguf 410 MB 66fc240d download
Q3_K 3 files 1.20 GB
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-Q3_K_L.gguf 425 MB 42445d1a download
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-Q3_K_M.gguf 412 MB 3466b0ac download
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-Q3_K_S.gguf 396 MB 8fa0e518 download
IQ4 2 files 816 MB
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-IQ4_NL.gguf 409 MB 5f657555 download
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-IQ4_XS.gguf 406 MB 611b769a download
IQ3 4 files 1.55 GB
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-IQ3_M.gguf 400 MB d96b6fef download
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-IQ3_S.gguf 396 MB f69d249c download
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-IQ3_XS.gguf 396 MB 42ba760f download
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-IQ3_XXS.gguf 391 MB ab9b02e0 download
Q2_K 2 files 785 MB
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-Q2_K.gguf 396 MB ff862ae4 download
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-Q2_K_S.gguf 389 MB 58fe04b8 download
IQ2 4 files 1.50 GB
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-IQ2_M.gguf 386 MB 55076f55 download
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-IQ2_S.gguf 384 MB 04460e3d download
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-IQ2_XS.gguf 382 MB c0e0d497 download
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-IQ2_XXS.gguf 380 MB 7ef3568c download
IQ1 2 files 751 MB
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-IQ1_M.gguf 376 MB b4c0b84d download
Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1.i1-IQ1_S.gguf 374 MB 524b9b9e download
Auxiliary files 3 files 976 KB
imatrix.dat 965 KB f03cf14e download
README.md 7.03 KB 9ec215a4 download
.gitattributes 3.82 KB baca6e6a download

README current version from Hugging Face


base_model: Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1
language:

  • zho
  • eng
  • fra
  • spa
  • por
  • deu
  • ita
  • rus
  • jpn
  • kor
  • vie
  • tha
  • ara
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • chat

About

weighted/imatrix quants of https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1

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

static quants are available at https://huggingface.co/mradermacher/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-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 0.5 for the desperate
GGUF i1-IQ1_M 0.5 mostly desperate
GGUF i1-IQ2_XXS 0.5
GGUF i1-IQ2_XS 0.5
GGUF i1-IQ2_S 0.5
GGUF i1-IQ2_M 0.5
GGUF i1-Q2_K_S 0.5 very low quality
GGUF i1-IQ3_XXS 0.5 lower quality
GGUF i1-Q3_K_S 0.5 IQ3_XS probably better
GGUF i1-IQ3_S 0.5 beats Q3_K*
GGUF i1-IQ3_XS 0.5
GGUF i1-Q2_K 0.5 IQ3_XXS probably better
GGUF i1-IQ3_M 0.5
GGUF i1-IQ4_XS 0.5
GGUF i1-IQ4_NL 0.5 prefer IQ4_XS
GGUF i1-Q4_0 0.5 fast, low quality
GGUF i1-Q3_K_M 0.5 IQ3_S probably better
GGUF i1-Q3_K_L 0.5 IQ3_M probably better
GGUF i1-Q4_1 0.6
GGUF i1-Q4_K_S 0.6 optimal size/speed/quality
GGUF i1-Q4_K_M 0.6 fast, recommended
GGUF i1-Q5_K_S 0.6
GGUF i1-Q5_K_M 0.6
GGUF i1-Q6_K 0.8 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. 2025-07-23auto-patch README.md9aedc387 KB
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  2. 2025-02-11auto-patch README.mdb64f0ea6.7 KB
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  3. 2025-02-11uploaded from rich1f58ca7d272 B
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