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Lexum-J/Qwen3.5-0.8B-Abliterated-V2-i1-GGUF

Lexum-J 800M GGUF second-order
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Response includes
  • classification m-uncensored
  • files 27
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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Model age
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created 2026-10-12

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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 qwen3.5 qwen abliterated uncensored safetensors en base_model:anlord/Qwen3.5-0.8B-Abliterated-V2 base_model:quantized:anlord/Qwen3.5-0.8B-Abliterated-V2 license:apache-2.0 endpoints_compatible

Related

Total size
10.2 GB
Files
27
Quantizations
11
Registered
2026-10-12 02:59
Last updated on HF
2026-10-12 02:23

Files by quantization

Q6_K 1 file 601 MB
Qwen3.5-0.8B-Abliterated-V2.i1-Q6_K.gguf 601 MB ******** download
Q5_K 2 files 1.06 GB
Qwen3.5-0.8B-Abliterated-V2.i1-Q5_K_M.gguf 551 MB ******** download
Qwen3.5-0.8B-Abliterated-V2.i1-Q5_K_S.gguf 538 MB ******** download
Q4 2 files 987 MB
Qwen3.5-0.8B-Abliterated-V2.i1-Q4_1.gguf 508 MB ******** download
Qwen3.5-0.8B-Abliterated-V2.i1-Q4_0.gguf 479 MB ******** download
Q4_K 2 files 987 MB
Qwen3.5-0.8B-Abliterated-V2.i1-Q4_K_M.gguf 505 MB ******** download
Qwen3.5-0.8B-Abliterated-V2.i1-Q4_K_S.gguf 482 MB ******** download
IQ4 2 files 973 MB
Qwen3.5-0.8B-Abliterated-V2.i1-IQ4_NL.gguf 492 MB ******** download
Qwen3.5-0.8B-Abliterated-V2.i1-IQ4_XS.gguf 481 MB ******** download
Q3_K 3 files 1.30 GB
Qwen3.5-0.8B-Abliterated-V2.i1-Q3_K_L.gguf 469 MB ******** download
Qwen3.5-0.8B-Abliterated-V2.i1-Q3_K_M.gguf 445 MB ******** download
Qwen3.5-0.8B-Abliterated-V2.i1-Q3_K_S.gguf 415 MB ******** download
IQ3 4 files 1.63 GB
Qwen3.5-0.8B-Abliterated-V2.i1-IQ3_M.gguf 433 MB ******** download
Qwen3.5-0.8B-Abliterated-V2.i1-IQ3_S.gguf 430 MB ******** download
Qwen3.5-0.8B-Abliterated-V2.i1-IQ3_XS.gguf 423 MB ******** download
Qwen3.5-0.8B-Abliterated-V2.i1-IQ3_XXS.gguf 380 MB ******** download
Q2_K 2 files 798 MB
Qwen3.5-0.8B-Abliterated-V2.i1-Q2_K.gguf 403 MB ******** download
Qwen3.5-0.8B-Abliterated-V2.i1-Q2_K_S.gguf 395 MB ******** download
IQ2 4 files 1.36 GB
Qwen3.5-0.8B-Abliterated-V2.i1-IQ2_M.gguf 360 MB ******** download
Qwen3.5-0.8B-Abliterated-V2.i1-IQ2_S.gguf 350 MB ******** download
Qwen3.5-0.8B-Abliterated-V2.i1-IQ2_XS.gguf 347 MB ******** download
Qwen3.5-0.8B-Abliterated-V2.i1-IQ2_XXS.gguf 336 MB ******** download
IQ1 2 files 637 MB
Qwen3.5-0.8B-Abliterated-V2.i1-IQ1_M.gguf 323 MB ******** download
Qwen3.5-0.8B-Abliterated-V2.i1-IQ1_S.gguf 315 MB ******** download
Auxiliary files 3 files 1.09 MB
Qwen3.5-0.8B-Abliterated-V2.imatrix.gguf 1.08 MB ******** download
README.md 6.62 KB 3a0e1ffb download
.gitattributes 3.40 KB 65831164 download

README current version from Hugging Face


base_model: anlord/Qwen3.5-0.8B-Abliterated-V2
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • qwen3.5
  • qwen
  • abliterated
  • uncensored
  • transformers
  • safetensors

About

weighted/imatrix quants of https://huggingface.co/anlord/Qwen3.5-0.8B-Abliterated-V2

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-V2-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.

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