← back to catalog · registered 2026-11-06 15:02

mradermacher/Qwen3.5-0.8B-abliterated-diffusion-i1-GGUF

mradermacher 800M GGUF second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FQwen3.5-0.8B-abliterated-diffusion-i1-GGUF"
Response includes
  • classification m8
  • files 27
  • author_summary 3485 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='OpceanAI/Qwen3.5-0.8B-abliterated-diffusion' (base has 'abliterated' marker, assume M1 default)
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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 · 30-day
0
Likes
1
Model age
today
created 2026-11-06

Genealogy 0 direct forks

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Variants by this author 2 formats · 0 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 diffusion-lm masked-diffusion llada dqwen qwen3_5 ablation experimental en base_model:OpceanAI/Qwen3.5-0.8B-abliterated-diffusion base_model:quantized:OpceanAI/Qwen3.5-0.8B-abliterated-diffusion

Related

Total size
10.2 GB
Files
27
Quantizations
11
Registered
2026-11-06 15:02
Last updated on HF
2026-11-06 14:59

Files by quantization

Q6_K 1 file 601 MB
Qwen3.5-0.8B-abliterated-diffusion.i1-Q6_K.gguf 601 MB 8b0a2734 download
Q5_K 2 files 1.06 GB
Qwen3.5-0.8B-abliterated-diffusion.i1-Q5_K_M.gguf 551 MB 8c673b67 download
Qwen3.5-0.8B-abliterated-diffusion.i1-Q5_K_S.gguf 538 MB 12ab1178 download
Q4 2 files 987 MB
Qwen3.5-0.8B-abliterated-diffusion.i1-Q4_1.gguf 508 MB 47f7d788 download
Qwen3.5-0.8B-abliterated-diffusion.i1-Q4_0.gguf 479 MB e627c814 download
Q4_K 2 files 987 MB
Qwen3.5-0.8B-abliterated-diffusion.i1-Q4_K_M.gguf 505 MB 280a0ff8 download
Qwen3.5-0.8B-abliterated-diffusion.i1-Q4_K_S.gguf 482 MB a3404627 download
IQ4 2 files 973 MB
Qwen3.5-0.8B-abliterated-diffusion.i1-IQ4_NL.gguf 492 MB 664103f9 download
Qwen3.5-0.8B-abliterated-diffusion.i1-IQ4_XS.gguf 481 MB b6ffa966 download
Q3_K 3 files 1.30 GB
Qwen3.5-0.8B-abliterated-diffusion.i1-Q3_K_L.gguf 469 MB 71fe9327 download
Qwen3.5-0.8B-abliterated-diffusion.i1-Q3_K_M.gguf 445 MB 28876ecc download
Qwen3.5-0.8B-abliterated-diffusion.i1-Q3_K_S.gguf 415 MB 89b44442 download
IQ3 4 files 1.63 GB
Qwen3.5-0.8B-abliterated-diffusion.i1-IQ3_M.gguf 433 MB 47e76a56 download
Qwen3.5-0.8B-abliterated-diffusion.i1-IQ3_S.gguf 430 MB d98f5d48 download
Qwen3.5-0.8B-abliterated-diffusion.i1-IQ3_XS.gguf 423 MB dd248fa3 download
Qwen3.5-0.8B-abliterated-diffusion.i1-IQ3_XXS.gguf 380 MB 037ce182 download
Q2_K 2 files 798 MB
Qwen3.5-0.8B-abliterated-diffusion.i1-Q2_K.gguf 403 MB 37a533a5 download
Qwen3.5-0.8B-abliterated-diffusion.i1-Q2_K_S.gguf 395 MB 1c583e95 download
IQ2 4 files 1.36 GB
Qwen3.5-0.8B-abliterated-diffusion.i1-IQ2_M.gguf 360 MB 19dd12dc download
Qwen3.5-0.8B-abliterated-diffusion.i1-IQ2_S.gguf 350 MB 2b06d561 download
Qwen3.5-0.8B-abliterated-diffusion.i1-IQ2_XS.gguf 347 MB 7562e407 download
Qwen3.5-0.8B-abliterated-diffusion.i1-IQ2_XXS.gguf 336 MB c615ff31 download
IQ1 2 files 637 MB
Qwen3.5-0.8B-abliterated-diffusion.i1-IQ1_M.gguf 323 MB b6d234aa download
Qwen3.5-0.8B-abliterated-diffusion.i1-IQ1_S.gguf 315 MB eadb44ab download
Auxiliary files 3 files 2.18 MB
Qwen3.5-0.8B-abliterated-diffusion.imatrix.gguf 2.17 MB f8e52525 download
README.md 6.85 KB 00da1034 download
.gitattributes 3.57 KB f38f9266 download

README current version from Hugging Face


base_model: OpceanAI/Qwen3.5-0.8B-abliterated-diffusion
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • diffusion-lm
  • masked-diffusion
  • llada
  • dqwen
  • qwen3_5
  • ablation
  • experimental

About

weighted/imatrix quants of https://huggingface.co/OpceanAI/Qwen3.5-0.8B-abliterated-diffusion

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

static quants are available at https://huggingface.co/mradermacher/Qwen3.5-0.8B-abliterated-diffusion-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 0.4 for the desperate
GGUF i1-IQ1_M 0.4 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-IQ3_XXS 0.5 lower quality
GGUF i1-Q2_K_S 0.5 very low quality
GGUF i1-Q2_K 0.5 IQ3_XXS probably better
GGUF i1-Q3_K_S 0.5 IQ3_XS probably better
GGUF i1-IQ3_XS 0.5
GGUF i1-IQ3_S 0.6 beats Q3_K*
GGUF i1-IQ3_M 0.6
GGUF i1-Q3_K_M 0.6 IQ3_S probably better
GGUF i1-Q3_K_L 0.6 IQ3_M probably better
GGUF i1-Q4_0 0.6 fast, low quality
GGUF i1-IQ4_XS 0.6
GGUF i1-Q4_K_S 0.6 optimal size/speed/quality
GGUF i1-IQ4_NL 0.6 prefer IQ4_XS
GGUF i1-Q4_K_M 0.6 fast, recommended
GGUF i1-Q4_1 0.6
GGUF i1-Q5_K_S 0.7
GGUF i1-Q5_K_M 0.7
GGUF i1-Q6_K 0.7 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.

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