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multilingual-e5-large

Can I run multilingual-e5-large on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 29 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

multilingual-e5-large is an embedding model for text embeddings. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on 2026-10-22.

Recorded SHA-256 for model.safetensors: 020afdebf2762b29fcaf286629a96c3b3b65af241f6a08226b1cfee60a21def6. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated 2026-10-21 · Page text: As of 2026-10-21 · Content revision

Model metadata: As of 2026-04-02 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

intfloat/multilingual-e5-large

Model details

text embeddingsLicense: mitHashes recordedsafetensors · ONNX · BIN

Content controls: not assessed.

The catalog lists this model for turning text into vectors. Catalog sources: license, cardMetadata.license, cardMetadata.libraryName, modality, task, cardMetadata.pipelineTag.

View as JSON →

Your next step

Use it from code

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-intfloat-multilingual-e5-large/model.safetensors",
    "model.safetensors",
)

Other ways

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29 hosted of 44 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors2.24 GB · 1 file Download · 2.24 GB (1 file)

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Modellinformationen

multilingual-e5-large is an embedding model for text embeddings. The primary file is model.safetensors (2.24 GB). The primary file needs about 4 GB free for the selected file (file plus room to run it). License: MIT. The SHA-256 prefix is 020afdebf276. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.

Enthaltene Dateien

29 hosted of 44 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

Über dieses Modell

External Hugging Face catalog record for intfloat/multilingual-e5-large. Task: feature extraction. Library: sentence transformers. Languages: multilingual, af, am, ar, as, az, be, bg. Includes 12 model-card evaluation signals. Files we host have a published SHA-256.

Kurzinfo

Hosted here: 29 hosted of 44 listed
Full repo upstream: 9.56 GB
Recommended file: 2.24 GB · model.safetensors
Languages: multilingual, af, am, ar, as, az, be, bg, bn, br, bs, ca
Format: safetensors · ONNX · BIN
File hashes: Hashes recorded. Date not recorded.

Lizenz und Quelle

License: mit

29 hosted of 44 listed

Check the license text and keep the required notices when you use or share the files.

Upstream source →

See the JSON record →

License: MIT. Free to use and share, keep the credit notice
Task: text embeddings
Hosted here: at least 29 listed files; full count and size unknown
Full repo upstream: 9.56 GB
Recommended file: 2.24 GB · model.safetensors
Files: 29 hosted of 44 listed
Download: Download here (29 hosted files)
Added to Hugging Bay: Jun 29, 2026
Updated at source: Apr 2, 2026
Source: intfloat/multilingual-e5-large

FAQ

What is this model?

intfloat/multilingual-e5-large is an embedding model for text embeddings published by intfloat, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for feature extraction: intfloat/multilingual-e5-large · sentence transformers

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.

How big is it?

Hosted here: at least 29 listed files; full count and size unknown. Full repo upstream: 9.56 GB. The recommended download, model.safetensors, is 2.24 GB.

What can I download here?

Hosted here: at least 29 listed files; full count and size unknown. Full repo upstream: 9.56 GB. The original release is at https://huggingface.co/intfloat/multilingual-e5-large.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 29 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-intfloat-multilingual-e5-large/safety on Hugging Bay.

Will intfloat/multilingual-e5-large 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.