multilingual-e5-small safetensors download | Hugging Bay

multilingual-e5-small

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

It depends on your memory, processor, file format and runtime. Hugging Bay offers 8 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-small is an embedding model for sentence similarity and retrieval. 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: 1a55775f53449dac10a2bcbc312469fac40b96d53198c407081a831f81c98477. 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-small

Model details

sentence similarity and retrievalLicense: mitSHA-256 recorded for 42 of 43 filessafetensors · ONNX · BIN

Content controls: not assessed.

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

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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-small/model.safetensors",
    "model.safetensors",
)

Other ways

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8 hosted of 43 listed · Hashes recorded. Date not recorded.

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

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Model facts

multilingual-e5-small is an embedding model for sentence similarity and retrieval. The primary file is model.safetensors (471 MB). The primary file needs about 2 GB free for the selected file (file plus room to run it). License: MIT. The SHA-256 prefix is 1a55775f5344. 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.

What's included

8 hosted of 43 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

About this model

External Hugging Face catalog record for intfloat/multilingual-e5-small. Task: sentence similarity. 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.

Quick facts

Hosted here: 8 hosted of 43 listed
Full repo upstream: 2.28 GB
Recommended file: 470.6 MB · 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.

License & source

License: mit

8 hosted of 43 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: sentence similarity and retrieval
Hosted here: 8 files, 475.7 MB
Full repo upstream: 2.28 GB
Recommended file: 470.6 MB · model.safetensors
Files: 8 hosted of 43 listed
Download: Download here (8 hosted files)
Added to Hugging Bay: Jun 29, 2026
Updated at source: Apr 2, 2026
Source: intfloat/multilingual-e5-small

FAQ

What is this model?

intfloat/multilingual-e5-small is an embedding model for sentence similarity and retrieval published by intfloat, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for sentence similarity: intfloat/multilingual-e5-small · 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: 8 files, 475.7 MB. Full repo upstream: 2.28 GB. The recommended download, model.safetensors, is 470.6 MB.

What can I download here?

Hosted here: 8 files, 475.7 MB. Full repo upstream: 2.28 GB. The original release is at https://huggingface.co/intfloat/multilingual-e5-small.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-intfloat-multilingual-e5-small/safety on Hugging Bay.

Will intfloat/multilingual-e5-small 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.

Other versions of this model

1 repack listed on Hugging Face that name this model as their base (from each publisher card). This does not mean the files match the original weights.

TwinSunsLLC/multilingual-e5-small-gguf (GGUF)