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NabuOCR GGUF

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

Quellehuggingface.co/mradermacher/NabuOCR-GGUF/tree/50d60d379375189cc85ac077a4e2f42e8d42e258
ArtOtherBasismodellboatbomber/NabuOCRVersionRevision 50d60d3

Modellquelle

Art
Other
Dateigröße
207–887 MB
Basismodell
boatbomber/NabuOCR
Version
vRevision 50d60d3
Aktualisiert
25. Sept. 2026
Downloads
365
Aufgaben
Beschriftung
Quelle
Hugging Face

Quellenbeschreibung

About

static quants of https://huggingface.co/boatbomber/NabuOCR

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)

LinkTypeSize/GBNotes
GGUFQ2_K0.3
GGUFQ3_K_S0.3
GGUFQ3_K_M0.4lower quality
GGUFQ3_K_L0.4
GGUFIQ4_XS0.4
GGUFQ4_K_S0.4fast, recommended
GGUFQ4_K_M0.4fast, recommended
GGUFQ5_K_S0.4
GGUFQ5_K_M0.4
GGUFQ6_K0.5very good quality
GGUFQ8_00.6fast, best quality
GGUFf161.016 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.

Quellen

1 Quelle
Hugging FacePrimärVersion 50d60d379375189cc85ac077a4e2f42e8d42e258
huggingface.co/mradermacher/NabuOCR-GGUF/tree/50d60d379375189cc85ac077a4e2f42e8d42e258

Verifiziert 10. Sept.

Modellartefakte

12 Artefakte

NabuOCR.f16.gguf

gguf · 887 MB · SHA-256 f29d656ea559…6c23 · Hugging Face

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NabuOCR.IQ4_XS.gguf

gguf · 268 MB · SHA-256 7266e6cdd3f2…bacf · Hugging Face

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NabuOCR.Q2_K.gguf

gguf · 207 MB · SHA-256 2ef3e4b82051…c205 · Hugging Face

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NabuOCR.Q3_K_L.gguf

gguf · 256 MB · SHA-256 f6e5edebab7a…2605 · Hugging Face

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NabuOCR.Q3_K_M.gguf

gguf · 244 MB · SHA-256 9c3537c08beb…7335 · Hugging Face

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NabuOCR.Q3_K_S.gguf

gguf · 231 MB · SHA-256 6df4d17a383c…fae5 · Hugging Face

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NabuOCR.Q4_K_M.gguf

gguf · 284 MB · SHA-256 92592d0eeaf9…08ee · Hugging Face

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NabuOCR.Q4_K_S.gguf

gguf · 278 MB · SHA-256 3e1769d84db9…9dce · Hugging Face

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NabuOCR.Q5_K_M.gguf

gguf · 323 MB · SHA-256 8b35757d5aa0…5a5f · Hugging Face

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NabuOCR.Q5_K_S.gguf

gguf · 320 MB · SHA-256 dc0e20b68741…eb7a · Hugging Face

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NabuOCR.Q6_K.gguf

gguf · 365 MB · SHA-256 6129aef1b84e…8e6e · Hugging Face

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NabuOCR.Q8_0.gguf

gguf · 472 MB · SHA-256 fd8936d61239…706b · Hugging Face

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Quellenauszüge

2 Auszüge
Readme10. Sept.huggingface.co/mradermacher/NabuOCR-GGUF

--- base_model: boatbomber/NabuOCR language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - cuneiform - transliteration - ocr - image-to-text - Sumerian - Akkadian - PaddleOCR - PaddlePaddle --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/boatbomber/NabuOCR <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#NabuOCR-GGUF).*** 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](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) 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](https://huggingface.co/mradermacher/NabuOCR-GGUF/resolve/main/NabuOCR.Q2_K.gguf) | Q2_K | 0.3 | | | [GGUF](https://huggingface.co/mradermacher/NabuOCR-GGUF/resolve/main/NabuOCR.Q3_K_S.gguf) | Q3_K_S | 0.3 | | | [GGUF](https://huggingface.co/mradermacher/NabuOCR-GGUF/resolve/main/NabuOCR.Q3_K_M.gguf) | Q3_K_M | 0.4 | lower quality | | [GGUF](https://huggingface.co/mradermacher/NabuOCR-GGUF/resolve/main/NabuOCR.Q3_K_L.gguf) | Q3_K_L | 0.4 | | | [GGUF](https://huggingface.co/mradermacher/NabuOCR-GGUF/resolve/main/NabuOCR.IQ4_XS.gguf) | IQ4_XS | 0.4 | | | [GGUF](https://huggingface.co/mradermacher/NabuOCR-GGUF/resolve/main/NabuOCR.Q4_K_S.gguf) | Q4_K_S | 0.4 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/NabuOCR-GGUF/resolve/main/NabuOCR.Q4_K_M.gguf) | Q4_K_M | 0.4 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/NabuOCR-GGUF/resolve/main/NabuOCR.Q5_K_S.gguf) | Q5_K_S | 0.4 | | | [GGUF](https://huggingface.co/mr...

Note10. Sept.huggingface.co/mradermacher/NabuOCR-GGUF

Source context: 365 downloads · 0 likes · Pipeline image-to-text · Library transformers · Repo mradermacher/NabuOCR-GGUF