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HunyuanOCR GGUF

tencent-hunyuan-community

ArtOtherBasismodelltencent/HunyuanOCRVersionRevision 064e0f1UnratedBewertung

Modellquelle

Art
Other
Dateigröße
248 MB–1,01 GB
Basismodell
tencent/HunyuanOCR
Version
vRevision 064e0f1
Aktualisiert
5. Nov. 2026
Downloads
991
Quelle
Hugging Face

Quellenbeschreibung

About

static quants of https://huggingface.co/tencent/HunyuanOCR

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/HunyuanOCR-i1-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)

LinkTypeSize/GBNotes
GGUFQ2_K0.4
GGUFQ3_K_S0.4
GGUFQ3_K_M0.4lower quality
GGUFQ3_K_L0.4
GGUFIQ4_XS0.4
GGUFQ4_K_S0.4fast, recommended
GGUFQ4_K_M0.5fast, recommended
GGUFQ5_K_S0.5
GGUFQ5_K_M0.5
GGUFQ6_K0.5very good quality
GGUFQ8_00.7fast, best quality
GGUFmmproj-Q8_00.8multi-modal supplement
GGUFmmproj-f161.1multi-modal supplement
GGUFf161.216 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 064e0f150acccae9de70b279f0b0f41989ecb735
huggingface.co/mradermacher/HunyuanOCR-GGUF/tree/064e0f150acccae9de70b279f0b0f41989ecb735

Verifiziert 5. Nov.

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Modellartefakte

14 Artefakte

HunyuanOCR.f16.gguf

gguf · 1,01 GB · SHA-256 fdd818dce149…80ea · Hugging Face

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HunyuanOCR.IQ4_XS.gguf

gguf · 314 MB · SHA-256 e746a21b568b…e0c6 · Hugging Face

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HunyuanOCR.mmproj-f16.gguf

gguf · 909 MB · SHA-256 1691a427cb6d…2bf4 · Hugging Face

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HunyuanOCR.mmproj-Q8_0.gguf

gguf · Q8_0 (unverified) · 699 MB · SHA-256 eb7fc35fcbac…2601 · Hugging Face

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HunyuanOCR.Q2_K.gguf

gguf · Q2_K (unverified) · 248 MB · SHA-256 faf627a5134e…64ba · Hugging Face

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HunyuanOCR.Q3_K_L.gguf

gguf · Q3_K_L (unverified) · 312 MB · SHA-256 a445ae98522b…3c59 · Hugging Face

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HunyuanOCR.Q3_K_M.gguf

gguf · Q3_K_M (unverified) · 293 MB · SHA-256 d82aed19094b…283e · Hugging Face

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HunyuanOCR.Q3_K_S.gguf

gguf · Q3_K_S (unverified) · 272 MB · SHA-256 b44649df28d7…725b · Hugging Face

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HunyuanOCR.Q4_K_M.gguf

gguf · Q4_K_M (unverified) · 339 MB · SHA-256 ee2378d06e4b…8bed · Hugging Face

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HunyuanOCR.Q4_K_S.gguf

gguf · Q4_K_S (unverified) · 326 MB · SHA-256 1326cedb90dd…3274 · Hugging Face

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HunyuanOCR.Q5_K_M.gguf

gguf · Q5_K_M (unverified) · 381 MB · SHA-256 69df7c5d61aa…b726 · Hugging Face

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HunyuanOCR.Q5_K_S.gguf

gguf · Q5_K_S (unverified) · 374 MB · SHA-256 e4e01cf5a1e0…be81 · Hugging Face

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HunyuanOCR.Q6_K.gguf

gguf · Q6_K (unverified) · 427 MB · SHA-256 a60dde791fab…4e13 · Hugging Face

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HunyuanOCR.Q8_0.gguf

gguf · Q8_0 (unverified) · 551 MB · SHA-256 2ff79d146bda…a947 · Hugging Face

Download file

Quellenauszüge

3 Auszüge

--- base_model: tencent/HunyuanOCR language: - multilingual library_name: transformers license: other mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - ocr - hunyuan - vision-language - image-to-text - 1B - end-to-end --- ## 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/tencent/HunyuanOCR <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#HunyuanOCR-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/HunyuanOCR-i1-GGUF ## 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/HunyuanOCR-GGUF/resolve/main/HunyuanOCR.Q2_K.gguf) | Q2_K | 0.4 | | | [GGUF](https://huggingface.co/mradermacher/HunyuanOCR-GGUF/resolve/main/HunyuanOCR.Q3_K_S.gguf) | Q3_K_S | 0.4 | | | [GGUF](https://huggingface.co/mradermacher/HunyuanOCR-GGUF/resolve/main/HunyuanOCR.Q3_K_M.gguf) | Q3_K_M | 0.4 | lower quality | | [GGUF](https://huggingface.co/mradermacher/HunyuanOCR-GGUF/resolve/main/HunyuanOCR.Q3_K_L.gguf) | Q3_K_L | 0.4 | | | [GGUF](https://huggingface.co/mradermacher/HunyuanOCR-GGUF/resolve/main/HunyuanOCR.IQ4_XS.gguf) | IQ4_XS | 0.4 | | | [GGUF](https://huggingface.co/mradermacher/HunyuanOCR-GGUF/resolve/main/HunyuanOCR.Q4_K_S.gguf) | Q4_K_S | 0.4 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/HunyuanOCR-GGUF/resolve/main/HunyuanOCR.Q4_K_M.gguf) | Q4_K_M | 0.5 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/HunyuanOCR-GGUF/resolve/main/HunyuanOCR.Q5_K_S.gguf) | Q5_K_S | 0.5 | | | [GGUF](https://huggingface.co/mradermacher/HunyuanOCR-GGUF/resolve/main/HunyuanOCR.Q5_K_M.gguf) | Q5_K_M | 0.5 | | | [GGUF](https://huggingfac...

Source context: 2170 downloads · 1 likes · Library transformers · Repo mradermacher/HunyuanOCR-GGUF

Source context: 991 downloads · 1 likes · Library transformers · Repo mradermacher/HunyuanOCR-GGUF