multilingual-e5-large-instruct-isl-16384 download

Q: What is this model?

alphaedge-ai/multilingual-e5-large-instruct-isl-16384 is an embedding model for sentence similarity and retrieval published by alphaedge-ai, added to Hugging Bay Sep 29, 2026. Model from Hugging Face for sentence similarity: alphaedge-ai/multilingual-e5-large-instruct-isl-16384 · sentence transformers

Q: Can I use it commercially?

It is released under the mit license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 642.4 MB. The recommended download, model.safetensors, is 641.4 MB.

Q: What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 642.4 MB. The original release is at https://huggingface.co/alphaedge-ai/multilingual-e5-large-instruct-isl-16384.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 5 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-alphaedge-ai-multilingual-e5-large-instruct-isl-16384/safety on Hugging Bay.

Q: Will alphaedge-ai/multilingual-e5-large-instruct-isl-16384 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.

alphaedge-ai

multilingual-e5-large-instruct-isl-16384

alphaedge-ai/multilingual-e5-large-instruct-isl-16384

Model details

sentence similarity and retrievalLicense: mitSHA-256 recorded for 5 of 8 filessafetensors

Content controls: not assessed.

Listed for comparing sentences; for developers building text similarity tools. Catalog sources: license, cardMetadata.license, baseModel, task, cardMetadata.pipelineTag.

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-alphaedge-ai-multilingual-e5-large-instruct-isl-16384/model.safetensors",
    "model.safetensors",
)

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5 hosted of 8 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors641 MB · 1 file Download · 641 MB (1 file)

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