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Garnet OCR 7B 0422 GGUF

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

Sourcehuggingface.co/mradermacher/Garnet-OCR-7B-0422-GGUF/tree/80465446ef9395251b9c96246660566a9865c3d7
KindOtherBase modelprithivMLmods/Garnet-OCR-7B-0422VersionRevision 8046544Bgrade

Model source

Kind
Other
File size
816 MB–14.2 GB
Base model
prithivMLmods/Garnet-OCR-7B-0422
Version
vRevision 8046544
Updated
Oct 4, 2026
Downloads
253
Source
Hugging Face

Source description

About

static quants of https://huggingface.co/prithivMLmods/Garnet-OCR-7B-0422

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Garnet-OCR-7B-0422-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
GGUFmmproj-Q8_01.0multi-modal supplement
GGUFmmproj-f161.5multi-modal supplement
GGUFQ2_K3.1
GGUFQ3_K_S3.6
GGUFQ3_K_M3.9lower quality
GGUFQ3_K_L4.2
GGUFIQ4_XS4.4
GGUFQ4_K_S4.6fast, recommended
GGUFQ4_K_M4.8fast, recommended
GGUFQ5_K_S5.4
GGUFQ5_K_M5.5
GGUFQ6_K6.4very good quality
GGUFQ8_08.2fast, best quality
GGUFf1615.316 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.

Sources

1 source
Hugging FacePrimaryVersion 80465446ef9395251b9c96246660566a9865c3d7
huggingface.co/mradermacher/Garnet-OCR-7B-0422-GGUF/tree/80465446ef9395251b9c96246660566a9865c3d7

Verified Aug 20

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Model artifacts

14 artifacts

Garnet-OCR-7B-0422.f16.gguf

gguf · 14.2 GB · SHA-256 536f929cfa56…3920 · Hugging Face

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Garnet-OCR-7B-0422.IQ4_XS.gguf

gguf · 3.96 GB · SHA-256 1968623a0843…af65 · Hugging Face

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Garnet-OCR-7B-0422.mmproj-f16.gguf

gguf · 1.26 GB · SHA-256 c8b0bcf93032…1105 · Hugging Face

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Garnet-OCR-7B-0422.mmproj-Q8_0.gguf

gguf · 816 MB · SHA-256 10473b763bcb…734a · Hugging Face

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Garnet-OCR-7B-0422.Q2_K.gguf

gguf · 2.81 GB · SHA-256 eed23bea0e55…3a83 · Hugging Face

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Garnet-OCR-7B-0422.Q3_K_L.gguf

gguf · 3.81 GB · SHA-256 af2df847c250…25ef · Hugging Face

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Garnet-OCR-7B-0422.Q3_K_M.gguf

gguf · 3.55 GB · SHA-256 818109e0e337…cfee · Hugging Face

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Garnet-OCR-7B-0422.Q3_K_S.gguf

gguf · 3.25 GB · SHA-256 6118831588b1…00cc · Hugging Face

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Garnet-OCR-7B-0422.Q4_K_M.gguf

gguf · 4.36 GB · SHA-256 58f005ec344a…ba89 · Hugging Face

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Garnet-OCR-7B-0422.Q4_K_S.gguf

gguf · 4.15 GB · SHA-256 92fd9514d821…933b · Hugging Face

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Garnet-OCR-7B-0422.Q5_K_M.gguf

gguf · 5.07 GB · SHA-256 4cbec717521a…b139 · Hugging Face

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Garnet-OCR-7B-0422.Q5_K_S.gguf

gguf · 4.95 GB · SHA-256 58a1f83e4443…a285 · Hugging Face

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Garnet-OCR-7B-0422.Q6_K.gguf

gguf · 5.82 GB · SHA-256 eac2dce9283e…675c · Hugging Face

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Garnet-OCR-7B-0422.Q8_0.gguf

gguf · 7.54 GB · SHA-256 863623e1054b…50e4 · Hugging Face

Download file

Source excerpts

2 excerpts
ReadmeAug 20huggingface.co/mradermacher/Garnet-OCR-7B-0422-GGUF

--- base_model: prithivMLmods/Garnet-OCR-7B-0422 datasets: - prithivMLmods/OpenDoc-Pdf-Preview - prithivMLmods/Opendoc1-Analysis-Recognition - allenai/olmOCR-mix-0225 - prithivMLmods/Openpdf-Analysis-Recognition - prithivMLmods/OCR-Markdown-Dense-200x language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - text-generation-inference - Document - VLM - KIE - VL - Camel - Openpdf - Extraction - Linking - Markdown - Document Digitization - Intelligent Document Processing (IDP) - Intelligent Word Recognition (IWR) - pdf2markdown - image-to-text - ocr --- ## 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/prithivMLmods/Garnet-OCR-7B-0422 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Garnet-OCR-7B-0422-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Garnet-OCR-7B-0422-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/Garnet-OCR-7B-0422-GGUF/resolve/main/Garnet-OCR-7B-0422.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 1.0 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Garnet-OCR-7B-0422-GGUF/resolve/main/Garnet-OCR-7B-0422.mmproj-f16.gguf) | mmproj-f16 | 1.5 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Garnet-OCR-7B-0422-GGUF/resolve/main/Garnet-OCR-7B-0422.Q2_K.gguf) | Q2_K | 3.1 | | | [GGUF](https://huggingface.co/mradermacher/Garnet-OCR-7B-0422-GGUF/resolve/main/Garnet-OCR-7B-0422.Q3_K_S.gguf) | Q3_K_S | 3.6 | | | [GGUF](https://huggingface.co/mradermacher/Garnet-OCR-7B-0422-GGUF/resolve/main/Garnet-OCR-7B-0422.Q3_K_M.gguf)...

NoteAug 20huggingface.co/mradermacher/Garnet-OCR-7B-0422-GGUF

Source context: 253 downloads · 1 likes · Pipeline image-to-text · Library transformers · Repo mradermacher/Garnet-OCR-7B-0422-GGUF