← back to catalog · registered 2026-10-17 02:59

mradermacher/Irwan-LightOnOCR-3-0.8B-abliterated-GGUF

mradermacher 800M GGUF multimodal second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FIrwan-LightOnOCR-3-0.8B-abliterated-GGUF"
Response includes
  • classification m-uncensored
  • files 16
  • author_summary 3349 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
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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Model age
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created 2026-10-17

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Languages
en id
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf ocr image-text-to-text abliterated uncensored qwen3_5 vision llama.cpp document-parsing en id

Related

Total size
6.94 GB
Files
16
Quantizations
9
Registered
2026-10-17 02:59
Last updated on HF
2026-10-17 02:56

Files by quantization

F16 2 files 1.60 GB
Irwan-LightOnOCR-3-0.8B-abliterated.f16.gguf 1.41 GB c052fffd download
Irwan-LightOnOCR-3-0.8B-abliterated.mmproj-f16.gguf 195 MB cb2d5ceb download
Q8_0 2 files 885 MB
Irwan-LightOnOCR-3-0.8B-abliterated.Q8_0.gguf 774 MB 20ea8e36 download
Irwan-LightOnOCR-3-0.8B-abliterated.mmproj-Q8_0.gguf 111 MB dba420c0 download
Q6_K 1 file 601 MB
Irwan-LightOnOCR-3-0.8B-abliterated.Q6_K.gguf 601 MB b0093dda download
Q5_K 2 files 1.06 GB
Irwan-LightOnOCR-3-0.8B-abliterated.Q5_K_M.gguf 551 MB 521ac5b2 download
Irwan-LightOnOCR-3-0.8B-abliterated.Q5_K_S.gguf 538 MB 702ea960 download
Q4_K 2 files 987 MB
Irwan-LightOnOCR-3-0.8B-abliterated.Q4_K_M.gguf 505 MB bb2d09d5 download
Irwan-LightOnOCR-3-0.8B-abliterated.Q4_K_S.gguf 482 MB f564e573 download
IQ4 1 file 482 MB
Irwan-LightOnOCR-3-0.8B-abliterated.IQ4_XS.gguf 482 MB 3d0ef4ab download
Q3_K 3 files 1.30 GB
Irwan-LightOnOCR-3-0.8B-abliterated.Q3_K_L.gguf 469 MB 1f5974dc download
Irwan-LightOnOCR-3-0.8B-abliterated.Q3_K_M.gguf 445 MB da096e79 download
Irwan-LightOnOCR-3-0.8B-abliterated.Q3_K_S.gguf 415 MB 893d503b download
Q2_K 1 file 403 MB
Irwan-LightOnOCR-3-0.8B-abliterated.Q2_K.gguf 403 MB e1873e72 download
Auxiliary files 2 files 7.21 KB
README.md 4.57 KB 3a596db0 download
.gitattributes 2.63 KB c2988347 download

README current version from Hugging Face


base_model: irwanworld/Irwan-LightOnOCR-3-0.8B-abliterated
language:

  • en
  • id
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • ocr
  • image-text-to-text
  • abliterated
  • uncensored
  • qwen3_5
  • vision
  • gguf
  • llama.cpp
  • document-parsing

About

static quants of https://huggingface.co/irwanworld/Irwan-LightOnOCR-3-0.8B-abliterated

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 mmproj-Q8_0 0.2 multi-modal supplement
GGUF mmproj-f16 0.3 multi-modal supplement
GGUF Q2_K 0.5
GGUF Q3_K_S 0.5
GGUF Q3_K_M 0.6 lower quality
GGUF Q3_K_L 0.6
GGUF Q4_K_S 0.6 fast, recommended
GGUF IQ4_XS 0.6
GGUF Q4_K_M 0.6 fast, recommended
GGUF Q5_K_S 0.7
GGUF Q5_K_M 0.7
GGUF Q6_K 0.7 very good quality
GGUF Q8_0 0.9 fast, best quality
GGUF f16 1.6 16 bpw, overkill

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.

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