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mradermacher/Qwen2.5-32B-Instruct-abliterated-v2-i1-GGUF

mradermacher Qwen 32B GGUF second-order 33K ctx
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Response includes
  • classification m8
  • files 25
  • benchmarks 11 entries
  • hub_downloads_all_time 7,267
  • 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='zetasepic/Qwen2.5-32B-Instruct-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
7K
697 last 30d - cooling
Likes
2
Model age
19mo ago
created 2025-02-27
Downloads over time
Now7.5K→from754↑898%
4163K5.6K8.2K754 on Feb 26, 20257.5K on Oct 11Feb '25May '25Aug '25Nov '25FebMayAug
Feb 26, 2025 → Oct 11 · 124 snapshots · spans 592 days

Benchmarks

Benchmark Score Source
Entertainment 1.9 UGI
Hazardous 3.5 UGI
Natural Intelligence 21.93 UGI
Political lean -12.1% UGI
Sensitive-Info 27.63 UGI
SocPol 3.2 UGI
UGI 44.25 UGI
Willingness (10) 7.8 UGI
W10-Adherence 6.5 UGI
W10-Direct 9 UGI
Writing 32.89 UGI

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 · 5K downloads combined

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

Metadata

License
apache-2.0
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf chat en base_model:zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 base_model:quantized:zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 license:apache-2.0 endpoints_compatible region:us imatrix conversational

Related

Total size
327 GB
Files
25
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-02-27 08:13

Files by quantization

Q6_K 1 file 25.0 GB
Qwen2.5-32B-Instruct-abliterated-v2.i1-Q6_K.gguf 25.0 GB 669683f3 download
Q5_K 2 files 42.7 GB
Qwen2.5-32B-Instruct-abliterated-v2.i1-Q5_K_M.gguf 21.7 GB 82a5cb66 download
Qwen2.5-32B-Instruct-abliterated-v2.i1-Q5_K_S.gguf 21.1 GB 11655c4d download
Q4 2 files 36.6 GB
Qwen2.5-32B-Instruct-abliterated-v2.i1-Q4_1.gguf 19.2 GB 332f13de download
Qwen2.5-32B-Instruct-abliterated-v2.i1-Q4_0.gguf 17.4 GB e4d96c5d download
Q4_K 2 files 36.0 GB
Qwen2.5-32B-Instruct-abliterated-v2.i1-Q4_K_M.gguf 18.5 GB 334e5021 download
Qwen2.5-32B-Instruct-abliterated-v2.i1-Q4_K_S.gguf 17.5 GB f38260a7 download
IQ4 1 file 16.5 GB
Qwen2.5-32B-Instruct-abliterated-v2.i1-IQ4_XS.gguf 16.5 GB ecd2387f download
Q3_K 3 files 44.3 GB
Qwen2.5-32B-Instruct-abliterated-v2.i1-Q3_K_L.gguf 16.1 GB 619e6945 download
Qwen2.5-32B-Instruct-abliterated-v2.i1-Q3_K_M.gguf 14.8 GB b202eb6c download
Qwen2.5-32B-Instruct-abliterated-v2.i1-Q3_K_S.gguf 13.4 GB c9f69c3b download
IQ3 4 files 52.0 GB
Qwen2.5-32B-Instruct-abliterated-v2.i1-IQ3_M.gguf 13.8 GB 685f5532 download
Qwen2.5-32B-Instruct-abliterated-v2.i1-IQ3_S.gguf 13.4 GB 3ba951a8 download
Qwen2.5-32B-Instruct-abliterated-v2.i1-IQ3_XS.gguf 12.8 GB 6d8094a7 download
Qwen2.5-32B-Instruct-abliterated-v2.i1-IQ3_XXS.gguf 12.0 GB 45d3271b download
Q2_K 2 files 22.2 GB
Qwen2.5-32B-Instruct-abliterated-v2.i1-Q2_K.gguf 11.5 GB 978aa23f download
Qwen2.5-32B-Instruct-abliterated-v2.i1-Q2_K_S.gguf 10.7 GB ac16bebd download
IQ2 4 files 37.8 GB
Qwen2.5-32B-Instruct-abliterated-v2.i1-IQ2_M.gguf 10.5 GB 4e9b0d52 download
Qwen2.5-32B-Instruct-abliterated-v2.i1-IQ2_S.gguf 9.67 GB c6b518cf download
Qwen2.5-32B-Instruct-abliterated-v2.i1-IQ2_XS.gguf 9.27 GB 4e6a5a45 download
Qwen2.5-32B-Instruct-abliterated-v2.i1-IQ2_XXS.gguf 8.41 GB a06b51df download
IQ1 2 files 14.2 GB
Qwen2.5-32B-Instruct-abliterated-v2.i1-IQ1_M.gguf 7.39 GB f4d4522a download
Qwen2.5-32B-Instruct-abliterated-v2.i1-IQ1_S.gguf 6.77 GB 7e1c11ba download
Auxiliary files 2 files 9.53 KB
README.md 6.11 KB 46d28a7c download
.gitattributes 3.43 KB 83e5ce75 download

README current version from Hugging Face


base_model: zetasepic/Qwen2.5-32B-Instruct-abliterated-v2
language:


About

weighted/imatrix quants of https://huggingface.co/zetasepic/Qwen2.5-32B-Instruct-abliterated-v2

static quants are available at https://huggingface.co/mradermacher/Qwen2.5-32B-Instruct-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 i1-IQ1_S 7.4 for the desperate
GGUF i1-IQ1_M 8.0 mostly desperate
GGUF i1-IQ2_XXS 9.1
GGUF i1-IQ2_XS 10.1
GGUF i1-IQ2_S 10.5
GGUF i1-IQ2_M 11.4
GGUF i1-Q2_K_S 11.6 very low quality
GGUF i1-Q2_K 12.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 12.9 lower quality
GGUF i1-IQ3_XS 13.8
GGUF i1-Q3_K_S 14.5 IQ3_XS probably better
GGUF i1-IQ3_S 14.5 beats Q3_K*
GGUF i1-IQ3_M 14.9
GGUF i1-Q3_K_M 16.0 IQ3_S probably better
GGUF i1-Q3_K_L 17.3 IQ3_M probably better
GGUF i1-IQ4_XS 17.8
GGUF i1-Q4_0 18.8 fast, low quality
GGUF i1-Q4_K_S 18.9 optimal size/speed/quality
GGUF i1-Q4_K_M 20.0 fast, recommended
GGUF i1-Q4_1 20.7
GGUF i1-Q5_K_S 22.7
GGUF i1-Q5_K_M 23.4
GGUF i1-Q6_K 27.0 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. 2025-02-27auto-patch README.mdda209c36.1 KB
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  2. 2025-02-27uploaded from marco9156f4b253 B
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