devdata-search-multilingual-e5-small-cmnrl download

Q: What is this model?

ai4data/devdata-search-multilingual-e5-small-cmnrl is an embedding model for text embeddings published by ai4data, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for feature extraction: ai4data/devdata-search-multilingual-e5-small-cmnrl · 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 7 listed files; full count and size unknown. Full repo upstream: 487.7 MB. The recommended download, model.safetensors, is 470.6 MB.

Q: What can I download here?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: 487.7 MB. The original release is at https://huggingface.co/ai4data/devdata-search-multilingual-e5-small-cmnrl.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 7 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-ai4data-devdata-search-multilingual-e5-small-cmnrl/safety on Hugging Bay.

Q: Will ai4data/devdata-search-multilingual-e5-small-cmnrl 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.

ai4data

devdata-search-multilingual-e5-small-cmnrl

ai4data/devdata-search-multilingual-e5-small-cmnrl

Model details

text embeddingsLicense: apache-2.0SHA-256 recorded for 7 of 10 filessafetensors

Content controls: not assessed.

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

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-ai4data-devdata-search-multilingual-e5-small-cmnrl/model.safetensors",
    "model.safetensors",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerApp links support one GGUF file.

7 hosted of 10 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors471 MB · 1 file Download · 471 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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