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

mradermacher Qwen 500M GGUF second-order 33K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 4,458
  • author_summary 3328 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of layer-wise ablation 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='huihui-ai/Qwen2.5-0.5B-Instruct-abliterated' (base is huihui-ai model (M3))
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
850 last 30d - stable
Likes
0
Model age
19mo ago
created 2025-03-09
Downloads over time
Now4.7K→from441↑965%
2281.9K3.5K5.1K441 on Mar 5, 20254.7K on Oct 12Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 5, 2025 → Oct 12 · 124 snapshots · spans 586 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 · 2K 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 abliterated uncensored zho eng fra spa por deu ita

Related

Total size
7.98 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-04-29 16:32

Files by quantization

Q6_K 1 file 482 MB
Qwen2.5-0.5B-Instruct-abliterated.i1-Q6_K.gguf 482 MB 05ba0f78 download
Q5_K 2 files 794 MB
Qwen2.5-0.5B-Instruct-abliterated.i1-Q5_K_M.gguf 401 MB 6def0898 download
Qwen2.5-0.5B-Instruct-abliterated.i1-Q5_K_S.gguf 394 MB 4673a859 download
Q4_K 2 files 747 MB
Qwen2.5-0.5B-Instruct-abliterated.i1-Q4_K_M.gguf 379 MB f9bdc673 download
Qwen2.5-0.5B-Instruct-abliterated.i1-Q4_K_S.gguf 368 MB caa724e5 download
Q4 2 files 694 MB
Qwen2.5-0.5B-Instruct-abliterated.i1-Q4_1.gguf 357 MB 6d6c59f5 download
Qwen2.5-0.5B-Instruct-abliterated.i1-Q4_0.gguf 337 MB aac67616 download
Q3_K 3 files 1014 MB
Qwen2.5-0.5B-Instruct-abliterated.i1-Q3_K_L.gguf 352 MB 8904243e download
Qwen2.5-0.5B-Instruct-abliterated.i1-Q3_K_M.gguf 339 MB a5c90467 download
Qwen2.5-0.5B-Instruct-abliterated.i1-Q3_K_S.gguf 323 MB 87c2ef9b download
IQ4 2 files 670 MB
Qwen2.5-0.5B-Instruct-abliterated.i1-IQ4_NL.gguf 336 MB c228836f download
Qwen2.5-0.5B-Instruct-abliterated.i1-IQ4_XS.gguf 333 MB d5d88c18 download
IQ3 4 files 1.26 GB
Qwen2.5-0.5B-Instruct-abliterated.i1-IQ3_M.gguf 327 MB 4c174a18 download
Qwen2.5-0.5B-Instruct-abliterated.i1-IQ3_S.gguf 323 MB 5c025ac6 download
Qwen2.5-0.5B-Instruct-abliterated.i1-IQ3_XS.gguf 323 MB 5dd4e75f download
Qwen2.5-0.5B-Instruct-abliterated.i1-IQ3_XXS.gguf 318 MB acf6ca4f download
Q2_K 2 files 639 MB
Qwen2.5-0.5B-Instruct-abliterated.i1-Q2_K.gguf 323 MB 1be49850 download
Qwen2.5-0.5B-Instruct-abliterated.i1-Q2_K_S.gguf 316 MB 3efbc654 download
IQ2 4 files 1.21 GB
Qwen2.5-0.5B-Instruct-abliterated.i1-IQ2_M.gguf 313 MB 5ed57223 download
Qwen2.5-0.5B-Instruct-abliterated.i1-IQ2_S.gguf 311 MB 38e3a385 download
Qwen2.5-0.5B-Instruct-abliterated.i1-IQ2_XS.gguf 309 MB 673b7aa7 download
Qwen2.5-0.5B-Instruct-abliterated.i1-IQ2_XXS.gguf 307 MB 8f42fa99 download
IQ1 2 files 604 MB
Qwen2.5-0.5B-Instruct-abliterated.i1-IQ1_M.gguf 303 MB cc176b1a download
Qwen2.5-0.5B-Instruct-abliterated.i1-IQ1_S.gguf 301 MB 69dbf5f6 download
Auxiliary files 2 files 9.75 KB
README.md 6.29 KB cb07055f download
.gitattributes 3.46 KB 2a5fc941 download

README current version from Hugging Face


base_model: huihui-ai/Qwen2.5-0.5B-Instruct-abliterated
language:


About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Qwen2.5-0.5B-Instruct-abliterated

static quants are available at https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-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 0.4 for the desperate
GGUF i1-IQ1_M 0.4 mostly desperate
GGUF i1-IQ2_XXS 0.4
GGUF i1-IQ2_XS 0.4
GGUF i1-IQ2_S 0.4
GGUF i1-IQ2_M 0.4
GGUF i1-Q2_K_S 0.4 very low quality
GGUF i1-IQ3_XXS 0.4 lower quality
GGUF i1-Q3_K_S 0.4 IQ3_XS probably better
GGUF i1-IQ3_S 0.4 beats Q3_K*
GGUF i1-IQ3_XS 0.4
GGUF i1-Q2_K 0.4 IQ3_XXS probably better
GGUF i1-IQ3_M 0.4
GGUF i1-IQ4_XS 0.4
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 0.5
GGUF i1-Q4_K_S 0.5 optimal size/speed/quality
GGUF i1-Q4_K_M 0.5 fast, recommended
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. 2025-04-29auto-patch README.md0d88c8c6.3 KB
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  2. 2025-03-09auto-patch README.mdc469dc66.2 KB
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  3. 2025-03-09uploaded from nico2e249ae8251 B
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