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Fast PaddleOCR VL 1.5 GGUF

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

TipoOtherModelo baseandynoodles/Fast-PaddleOCR-VL-1.5VersiónRevision 4c1b37eBcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
208–892 MB
Modelo base
andynoodles/Fast-PaddleOCR-VL-1.5
Versión
vRevision 4c1b37e
Actualizado
2 nov 2026
Descargas
261
Fuente
Hugging Face

Descripción de la fuente

About

static quants of https://huggingface.co/andynoodles/Fast-PaddleOCR-VL-1.5

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Fast-PaddleOCR-VL-1.5-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_K0.3
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.

Fuentes

1 fuente
Hugging FacePrincipalVersión 4c1b37ec848b1131087ec7b4de2645c74b470724
huggingface.co/mradermacher/Fast-PaddleOCR-VL-1.5-GGUF/tree/4c1b37ec848b1131087ec7b4de2645c74b470724

Verificado 2 nov

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Artefactos del modelo

12 artefactos

Fast-PaddleOCR-VL-1.5.f16.gguf

gguf · 892 MB · SHA-256 7513c9e6f20e…8ab4 · Hugging Face

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Fast-PaddleOCR-VL-1.5.IQ4_XS.gguf

gguf · 270 MB · SHA-256 72134c667155…80a9 · Hugging Face

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Fast-PaddleOCR-VL-1.5.Q2_K.gguf

gguf · Q2_K (unverified) · 208 MB · SHA-256 08c528cdbe6a…ccff · Hugging Face

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Fast-PaddleOCR-VL-1.5.Q3_K_L.gguf

gguf · Q3_K_L (unverified) · 257 MB · SHA-256 f2fa840e6db2…c6ed · Hugging Face

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Fast-PaddleOCR-VL-1.5.Q3_K_M.gguf

gguf · Q3_K_M (unverified) · 246 MB · SHA-256 3fa52aece7a0…317c · Hugging Face

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Fast-PaddleOCR-VL-1.5.Q3_K_S.gguf

gguf · Q3_K_S (unverified) · 233 MB · SHA-256 587cbd6be6ee…a93a · Hugging Face

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Fast-PaddleOCR-VL-1.5.Q4_K_M.gguf

gguf · Q4_K_M (unverified) · 286 MB · SHA-256 c77cd2640430…e313 · Hugging Face

Download file

Fast-PaddleOCR-VL-1.5.Q4_K_S.gguf

gguf · Q4_K_S (unverified) · 280 MB · SHA-256 a206325e0307…2e3e · Hugging Face

Download file

Fast-PaddleOCR-VL-1.5.Q5_K_M.gguf

gguf · Q5_K_M (unverified) · 326 MB · SHA-256 df56d3794791…dee3 · Hugging Face

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Fast-PaddleOCR-VL-1.5.Q5_K_S.gguf

gguf · Q5_K_S (unverified) · 322 MB · SHA-256 6359758c1101…d618 · Hugging Face

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Fast-PaddleOCR-VL-1.5.Q6_K.gguf

gguf · Q6_K (unverified) · 367 MB · SHA-256 552b6e72c189…b1a4 · Hugging Face

Download file

Fast-PaddleOCR-VL-1.5.Q8_0.gguf

gguf · Q8_0 (unverified) · 475 MB · SHA-256 390a413e2479…a764 · Hugging Face

Download file

Extractos de fuentes

3 extractos

--- base_model: andynoodles/Fast-PaddleOCR-VL-1.5 language: - en - zh - multilingual library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - ERNIE4.5 - PaddleOCR - PaddlePaddle - image-to-text - ocr - document-parse - layout - table - formula - chart - seal - spotting --- ## 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/andynoodles/Fast-PaddleOCR-VL-1.5 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Fast-PaddleOCR-VL-1.5-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Fast-PaddleOCR-VL-1.5-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/Fast-PaddleOCR-VL-1.5-GGUF/resolve/main/Fast-PaddleOCR-VL-1.5.Q2_K.gguf) | Q2_K | 0.3 | | | [GGUF](https://huggingface.co/mradermacher/Fast-PaddleOCR-VL-1.5-GGUF/resolve/main/Fast-PaddleOCR-VL-1.5.Q3_K_S.gguf) | Q3_K_S | 0.3 | | | [GGUF](https://huggingface.co/mradermacher/Fast-PaddleOCR-VL-1.5-GGUF/resolve/main/Fast-PaddleOCR-VL-1.5.Q3_K_M.gguf) | Q3_K_M | 0.4 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Fast-PaddleOCR-VL-1.5-GGUF/resolve/main/Fast-PaddleOCR-VL-1.5.Q3_K_L.gguf) | Q3_K_L | 0.4 | | | [GGUF](https://huggingface.co/mradermacher/Fast-PaddleOCR-VL-1.5-GGUF/resolve/main/Fast-PaddleOCR-VL-1.5.IQ4_XS.gguf) | IQ4_XS | 0.4 | | | [GGUF](https://huggingface.co/mradermacher/Fast-PaddleOCR-VL-1.5-GGUF/resolve/main/Fast-PaddleOCR-VL-1.5.Q4_K_S.gguf) | Q4_K_S | 0.4 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Fast-PaddleOCR-VL-1.5-GGUF/resolve/main/Fast-PaddleOCR-VL-1.5.Q4_K_M.gguf) | Q4_K_M | 0.4...

Source context: 261 downloads · 0 likes · Pipeline image-to-text · Library transformers · Repo mradermacher/Fast-PaddleOCR-VL-1.5-GGUF

Source context: 114 downloads · 0 likes · Pipeline image-to-text · Library transformers · Repo mradermacher/Fast-PaddleOCR-VL-1.5-GGUF