MoD-Embedding safetensors download | Hugging Bay

Q: What is this model?

bflhc/MoD-Embedding is an embedding model for sentence similarity and retrieval published by bflhc, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for sentence similarity: bflhc/MoD-Embedding · sentence transformers

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: at least 15 listed files; full count and size unknown. Full repo upstream: 8.06 GB.

Q: What can I download here?

Hosted here: at least 15 listed files; full count and size unknown. Full repo upstream: 8.06 GB. The original release is at https://huggingface.co/bflhc/MoD-Embedding.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 15 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-bflhc-mod-embedding/safety on Hugging Bay.

Q: Will bflhc/MoD-Embedding 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.

bflhc

MoD-Embedding

bflhc/MoD-Embedding

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 15 of 16 filessafetensors

Content controls: not assessed.

Listed for turning text into vectors; for developers building text similarity tools. Catalog sources: license, cardMetadata.license, baseModel, tags, task, cardMetadata.pipelineTag.

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