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

mradermacher/Qwen3.5-0.8B-finetuned-lora-uncensored-i1-GGUF

mradermacher Qwen 800M GGUF multimodal second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 7,732
  • author_summary 3324 models
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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='Mahatoon77/Qwen3.5-0.8B-finetuned-lora-uncensored' (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
8K
1K last 30d - stable
Likes
1
Model age
6mo ago
created 2026-04-14

Training datasets

1 of 1 in /datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now8.1K→from2.8K↑193%
2.5K4.5K6.6K8.6K2.8K on Apr 158.1K on Oct 11AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 65 snapshots · spans 179 days

Genealogy 0 direct forks

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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
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf finetune lora lora-merged refusal-direction model-editing qwen3.5 multimodal vision en dataset:Guilherme34/uncensor

Related

Total size
10.2 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-04-19 13:34

Files by quantization

Q6_K 1 file 601 MB
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-Q6_K.gguf 601 MB 21313192 download
Q5_K 2 files 1.06 GB
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-Q5_K_M.gguf 551 MB 692623ed download
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-Q5_K_S.gguf 538 MB bb8ed9e2 download
Q4 2 files 987 MB
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-Q4_1.gguf 508 MB 3043740d download
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-Q4_0.gguf 479 MB b29b74b6 download
Q4_K 2 files 987 MB
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-Q4_K_M.gguf 505 MB 86abc41d download
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-Q4_K_S.gguf 482 MB c51498ed download
IQ4 2 files 973 MB
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-IQ4_NL.gguf 492 MB 1576247c download
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-IQ4_XS.gguf 481 MB 50757903 download
Q3_K 3 files 1.30 GB
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-Q3_K_L.gguf 469 MB b853f596 download
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-Q3_K_M.gguf 445 MB 5a2f27ba download
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-Q3_K_S.gguf 415 MB 36fb6997 download
IQ3 4 files 1.63 GB
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-IQ3_M.gguf 433 MB 251094e8 download
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-IQ3_S.gguf 430 MB 3d4b9993 download
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-IQ3_XS.gguf 423 MB 52f1077f download
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-IQ3_XXS.gguf 380 MB 75875932 download
Q2_K 2 files 798 MB
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-Q2_K.gguf 403 MB d4cfc839 download
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-Q2_K_S.gguf 395 MB 90eeefd6 download
IQ2 4 files 1.36 GB
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-IQ2_M.gguf 360 MB fe48fcd7 download
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-IQ2_S.gguf 350 MB 4e4f385f download
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-IQ2_XS.gguf 347 MB 5822dfed download
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-IQ2_XXS.gguf 336 MB 11d6e5d0 download
IQ1 2 files 637 MB
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-IQ1_M.gguf 323 MB 6c8922bd download
Qwen3.5-0.8B-finetuned-lora-uncensored.i1-IQ1_S.gguf 315 MB e4665108 download
Auxiliary files 3 files 1.09 MB
Qwen3.5-0.8B-finetuned-lora-uncensored.imatrix.gguf 1.08 MB cd94b125 download
README.md 7.27 KB 743709a9 download
.gitattributes 3.67 KB d187d9ef download

README current version from Hugging Face


base_model: Mahatoon77/Qwen3.5-0.8B-finetuned-lora-uncensored
datasets:

  • Guilherme34/uncensor
    language:
  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • finetune
  • lora
  • lora-merged
  • refusal-direction
  • model-editing
  • qwen3.5
  • multimodal
  • vision

About

weighted/imatrix quants of https://huggingface.co/Mahatoon77/Qwen3.5-0.8B-finetuned-lora-uncensored

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-finetuned-lora-uncensored-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 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.

README history 4 versions

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

  1. 2026-04-19auto-patch README.md95a18f07.3 KB
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  2. 2026-04-18auto-patch README.mdbef96dd7.1 KB
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  3. 2026-04-14auto-patch README.mdc4487997.3 KB
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  4. 2026-04-14uploaded from nico10e078b5495 B
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