VisRAG-Ret safetensors download | Hugging Bay

Q: What is this model?

openbmb/VisRAG-Ret is an embedding model for text embeddings published by openbmb, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for feature extraction: openbmb/VisRAG-Ret · unknown

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: 9 files, 6.88 GB. Full repo upstream: 6.88 GB. The recommended download, a 2-file weight set, is 6.87 GB.

Q: What can I download here?

Hosted here: 9 files, 6.88 GB. Full repo upstream: 6.88 GB. The original release is at https://huggingface.co/openbmb/VisRAG-Ret.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 9 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-openbmb-visrag-ret/safety on Hugging Bay.

Q: Will openbmb/VisRAG-Ret 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.

openbmb

VisRAG-Ret

openbmb/VisRAG-Ret

Model details

text embeddingsLicense: apache-2.0SHA-256 recorded for 9 of 16 filessafetensors

Content controls: not assessed.

The catalog lists this model for finding useful details in data. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

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