rfdetr-cpp-base GGUF download (40 MB) | Hugging Bay

Q: What is this model?

mudler/rfdetr-cpp-base is an open-weights language model for object detection published by mudler, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for object detection: mudler/rfdetr-cpp-base · rfdetr.cpp

Q: 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.

Q: How big is it?

Hosted here: 1 file, 40.3 MB. Full repo upstream: 265.7 MB. The recommended download, rfdetr-base-q8_0.gguf (Q8_0), is 40.3 MB.

Q: What can I download here?

Hosted here: 1 file, 40.3 MB. Full repo upstream: 265.7 MB. The original release is at https://huggingface.co/mudler/rfdetr-cpp-base.

Q: 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-base/safety on Hugging Bay.

Q: Will mudler/rfdetr-cpp-base 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.

mudler

rfdetr-cpp-base

mudler/rfdetr-cpp-base

Model details

object detectionLicense: apache-2.0Hashes recordedGGUF

Content controls: not assessed.

Model from Hugging Face for object detection: mudler/rfdetr-cpp-base · rfdetr.cpp

View as JSON →

Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

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

Other ways

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

Selected downloadrfdetr-base-q8_0.gguf40 MB · 1 file Download · 40 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

This check proves the file arrived unchanged.

Signed by the harbor

1 hosted of 6 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`rfdetr-base-q8_0.gguf` Default	40.3 MB	`2bd12b39…8cb8a64d` `2bd12b39a9c0024821be6fc82793fd6e6dfa499d0181433195b5797c8cb8a64d`	Hosted	Herunterladen
`rfdetr-base-f16.gguf`	67.4 MB	`8a68b21a…b90faf52` `8a68b21a90478564bcbb758557069a618d96e25e7c358207fd85ba45b90faf52`	Upstream only	File metadata
`rfdetr-base-f32.gguf`	125 MB	`de752a04…2df6fa2e` `de752a040c776811c3dadbe1c16a5607211c3922957b39d3584fee562df6fa2e`	Upstream only	File metadata
`rfdetr-base-q4_K.gguf`	33 MB	`5d9118d2…f95d9a7d` `5d9118d27cd3110385eeca8e8a1c0412be1b6eb6b382539ddfb794c5f95d9a7d`	Upstream only	File metadata
Docs
`.gitattributes`	1.75 KB	—	Upstream only	File metadata
`README.md`	3.54 KB	—	Upstream only	File metadata

Einen Download prüfen

In the folder where you saved rfdetr-base-q8_0.gguf, run:

macOS

shasum -a 256 -- 'rfdetr-base-q8_0.gguf'

Linux

sha256sum -- 'rfdetr-base-q8_0.gguf'

Windows

Get-FileHash -LiteralPath 'rfdetr-base-q8_0.gguf' -Algorithm SHA256

Compare the result with the recorded SHA-256.

rfdetr-cpp-base

Einen Download prüfen

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