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mradermacher/Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled-i1-GGUF

mradermacher Qwen 4B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 14,917
  • 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='Abiray/Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled' (base has 'abliterated' marker, assume M1 default)
Refusal direction extraction

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Downloads · lifetime
15K
1K last 30d - cooling
Likes
5
Model age
7mo ago
created 2026-03-10
Downloads over time
Now15.1K→from6.1K↑148%
5.6K9.1K12.6K16K6.1K on Mar 1115.1K on Oct 11MarAprMayJunJulAugSepOct
Mar 11 → Oct 11 · 70 snapshots · spans 214 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
other
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated de-censored reasoning qwen distilled en base_model:Abiray/Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled base_model:quantized:Abiray/Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled license:other endpoints_compatible

Related

Total size
48.3 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-04-13 16:58

Files by quantization

Q6_K 1 file 3.23 GB
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-Q6_K.gguf 3.23 GB 886621b8 download
Q5_K 2 files 5.68 GB
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-Q5_K_M.gguf 2.90 GB 7fa5751c download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-Q5_K_S.gguf 2.78 GB 314bfb23 download
Q4 2 files 4.95 GB
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-Q4_1.gguf 2.58 GB e3163ec1 download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-Q4_0.gguf 2.37 GB f5c42647 download
Q4_K 2 files 4.90 GB
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-Q4_K_M.gguf 2.52 GB 9f60b214 download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-Q4_K_S.gguf 2.38 GB 21a55850 download
IQ4 2 files 4.64 GB
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-IQ4_NL.gguf 2.37 GB dbe33c2c download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-IQ4_XS.gguf 2.27 GB cd018901 download
Q3_K 3 files 6.23 GB
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-Q3_K_L.gguf 2.20 GB 5800de23 download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-Q3_K_M.gguf 2.10 GB bb1585d2 download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-Q3_K_S.gguf 1.93 GB bfe7f6cb download
IQ3 4 files 7.51 GB
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-IQ3_M.gguf 2.01 GB 69e57d9d download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-IQ3_S.gguf 1.93 GB 16abeaf4 download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-IQ3_XS.gguf 1.87 GB 2009d5de download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-IQ3_XXS.gguf 1.69 GB bdac6514 download
Q2_K 2 files 3.29 GB
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-Q2_K.gguf 1.67 GB 49dc874a download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-Q2_K_S.gguf 1.62 GB 31c3f4a0 download
IQ2 4 files 5.60 GB
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-IQ2_M.gguf 1.51 GB 9e5a353a download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-IQ2_S.gguf 1.41 GB a0863874 download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-IQ2_XS.gguf 1.39 GB 94286cc6 download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-IQ2_XXS.gguf 1.29 GB fc48d7ef download
IQ1 2 files 2.26 GB
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-IQ1_M.gguf 1.17 GB 0ac913fe download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.i1-IQ1_S.gguf 1.09 GB 2a7dcd3a download
Auxiliary files 3 files 3.47 MB
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.imatrix.gguf 3.46 MB 897cb453 download
README.md 8.33 KB a36945e3 download
.gitattributes 4.16 KB ddb06e5c download

README current version from Hugging Face


base_model: Abiray/Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled
language:

  • en
    library_name: transformers
    license: other
    model_name: Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • de-censored
  • reasoning
  • qwen
  • distilled

About

weighted/imatrix quants of https://huggingface.co/Abiray/Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled

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

static quants are available at https://huggingface.co/mradermacher/Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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 1.3 for the desperate
GGUF i1-IQ1_M 1.4 mostly desperate
GGUF i1-IQ2_XXS 1.5
GGUF i1-IQ2_XS 1.6
GGUF i1-IQ2_S 1.6
GGUF i1-IQ2_M 1.7
GGUF i1-Q2_K_S 1.8 very low quality
GGUF i1-Q2_K 1.9 IQ3_XXS probably better
GGUF i1-IQ3_XXS 1.9 lower quality
GGUF i1-IQ3_XS 2.1
GGUF i1-Q3_K_S 2.2 IQ3_XS probably better
GGUF i1-IQ3_S 2.2 beats Q3_K*
GGUF i1-IQ3_M 2.3
GGUF i1-Q3_K_M 2.4 IQ3_S probably better
GGUF i1-Q3_K_L 2.5 IQ3_M probably better
GGUF i1-IQ4_XS 2.5
GGUF i1-IQ4_NL 2.6 prefer IQ4_XS
GGUF i1-Q4_0 2.6 fast, low quality
GGUF i1-Q4_K_S 2.7 optimal size/speed/quality
GGUF i1-Q4_K_M 2.8 fast, recommended
GGUF i1-Q4_1 2.9
GGUF i1-Q5_K_S 3.1
GGUF i1-Q5_K_M 3.2
GGUF i1-Q6_K 3.6 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 4 versions

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

  1. 2026-04-13auto-patch README.md4e990ba8.3 KB
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  2. 2026-03-10auto-patch README.mdcb212df8.3 KB
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  3. 2026-03-10auto-patch README.md96b758e2.9 KB
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  4. 2026-03-10uploaded from nico1f894035512 B
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