rfdetr-cpp-seg-small GGUF download (42 MB) | Hugging Bay

mudler

rfdetr-cpp-seg-small

mudler/rfdetr-cpp-seg-small

Model details

image segmentationLicense: apache-2.0SHA-256 recorded for 4 of 6 filesGGUF

Content controls: not assessed.

Listed for segmenting images; for developers building image analysis tools. Catalog sources: license, cardMetadata.license, baseModel, task, cardMetadata.pipelineTag.

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-mudler-rfdetr-cpp-seg-small/rfdetr-seg-small-q8_0.gguf",
    "rfdetr-seg-small-q8_0.gguf",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerMac (Apple silicon) and Linux x86_64 installs are listed on the download page. Windows and Intel Mac are not yet. The app checks this model before you choose to download.

1 hosted of 6 listed · Hashes recorded. Date not recorded.

Selected downloadrfdetr-seg-small-q8_0.gguf42 MB · 1 file Download · 42 MB (1 file)

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Informations sur le modèle

rfdetr-cpp-seg-small is an open-weights vision model for image segmentation. The primary file is rfdetr-seg-small-q8_0.gguf (42 MB, Q8_0). The primary file needs about 2 GB free for the Q8 file (file plus room to run it). License: Apache 2.0. The SHA-256 prefix is 55302c64b58b. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.

Contenu inclus

1 hosted of 6 listed

Weights

README, LICENSE & .gitattributes

À propos de ce modèle

External Hugging Face catalog record for mudler/rfdetr-cpp-seg-small. Task: image segmentation. Library: rfdetr.cpp. Base model: roboflow/rfdetr. Popularity signal at import: 606 downloads and 1 likes.

Informations clés

Hosted here: 1 hosted of 6 listed
Full repo upstream: 281.8 MB
Recommended file: 42.4 MB (Q8_0) · rfdetr-seg-small-q8_0.gguf
Format: GGUF
Downloads on Hugging Face: 624
File hashes: Hashes recorded. Date not recorded.

Licence et source

License: apache-2.0

1 hosted of 6 listed

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Upstream source →

See the JSON record →

License: Apache 2.0. Free to use and share, keep the credit notice
Task: image segmentation
Hosted here: 1 file, 42.4 MB
Full repo upstream: 281.8 MB
Recommended file: 42.4 MB (Q8_0) · rfdetr-seg-small-q8_0.gguf
Files: 1 hosted of 6 listed
Download: Download here (1 hosted file)
Added to Hugging Bay: Jun 30, 2026
Updated at source: Sep 20, 2026
Source: mudler/rfdetr-cpp-seg-small

FAQ

What is this model?

mudler/rfdetr-cpp-seg-small is an open-weights vision model for image segmentation published by mudler, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for image segmentation: mudler/rfdetr-cpp-seg-small · rfdetr.cpp

Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

How big is it?

Hosted here: 1 file, 42.4 MB. Full repo upstream: 281.8 MB. The recommended download, rfdetr-seg-small-q8_0.gguf (Q8_0), is 42.4 MB.

What can I download here?

Hosted here: 1 file, 42.4 MB. Full repo upstream: 281.8 MB. The original release is at https://huggingface.co/mudler/rfdetr-cpp-seg-small.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 1 hosted file carries a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-mudler-rfdetr-cpp-seg-small/safety on Hugging Bay.

Will mudler/rfdetr-cpp-seg-small run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

Repack of roboflow/rfdetr (from the publisher card on Hugging Face). This does not mean the files match the original weights.

6 other repacks declare the same base on their cards.