mmlw-retrieval-roberta-base download | Hugging Bay

Q: What is this model?

sdadas/mmlw-retrieval-roberta-base is an embedding model for sentence similarity and retrieval published by sdadas, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: sdadas/mmlw-retrieval-roberta-base

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 11 listed files; full count and size unknown. The full repository size is not recorded. The recommended download, model.safetensors, is 248.9 MB.

Q: What can I download here?

Hosted here: at least 11 listed files; full count and size unknown. Full repo upstream: unknown. The original release is at https://huggingface.co/sdadas/mmlw-retrieval-roberta-base.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 11 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-sdadas-mmlw-retrieval-roberta-base/safety on Hugging Bay.

Q: Will sdadas/mmlw-retrieval-roberta-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.

sdadas

mmlw-retrieval-roberta-base

sdadas/mmlw-retrieval-roberta-base

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 11 of 14 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for checking whether two sentences mean similar things. Catalog sources: license, task.

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-sdadas-mmlw-retrieval-roberta-base/model.safetensors",
    "model.safetensors",
)

Other ways

This file cannot open in the app. The app supports one GGUF file at a time.

See app requirements

11 hosted of 14 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors249 MB · 1 file Download · 249 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

Compare your file’s SHA-256 with the recorded hash.