multilingual-e5-small safetensors download | Hugging Bay

Q: 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

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: 8 files, 475.7 MB. Full repo upstream: 2.28 GB. The recommended download, model.safetensors, is 470.6 MB.

Q: 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.

Q: 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.

Q: 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.

intfloat

multilingual-e5-small

intfloat/multilingual-e5-small

Model details

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

Content controls: not assessed.

Listed for comparing sentences; for developers building text similarity tools. Catalog sources: license, cardMetadata.license, 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-intfloat-multilingual-e5-small/model.safetensors",
    "model.safetensors",
)

Other ways

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

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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Check your download →

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

8 hosted of 43 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	470.6 MB	`1a55775f…81c98477` `1a55775f53449dac10a2bcbc312469fac40b96d53198c407081a831f81c98477`	Hosted	Herunterladen
`onnx/model.onnx`	470.3 MB	`ca456c06…a6bc8665` `ca456c06b3a9505ddfd9131408916dd79290368331e7d76bb621f1cba6bc8665`	Upstream only	File metadata
`onnx/model_O4.onnx`	235.1 MB	`4654c156…0e3205b0` `4654c156f3e4171abc9c716cdb771bf9116455d15ac1aab364aeeede0e3205b0`	Upstream only	File metadata
`onnx/model_qint8_avx512_vnni.onnx`	118.3 MB	`dd476dd0…c48a2d88` `dd476dd0c2514e9b9be83aeb3853fac0763e0bdf4a71645407587d77c48a2d88`	Upstream only	File metadata
`openvino/openvino_model.bin`	470 MB	`22f5a10e…bc6cf232` `22f5a10ec005a1606ec42758dedd52b59dfcb6e3d85de0b6b86946d0bc6cf232`	Upstream only	File metadata
`pytorch_model.bin`	470.7 MB	`f0ccb64a…49c51167` `f0ccb64a2edc689fce7b1895f25146740e4075c3da28c8d0e672a8ba49c51167`	Upstream only	File metadata
Tokenizer & config
`.eval_results/ArguAna.yaml`	575 bytes	`53c1be5a…9092371c` `53c1be5a451d915708a64756b626b7a8772ce8a785d6f4be5a7652709092371c`	Upstream only	File metadata
`.eval_results/BrightAopsRetrieval.yaml`	641 bytes	`6027ed10…3651e599` `6027ed1058e852c2c0a9d34fbce4c10d18252681de802a6082282f363651e599`	Upstream only	File metadata
`.eval_results/BrightBiologyLongRetrieval.yaml`	651 bytes	`f4ebcfd6…da75b439` `f4ebcfd606c3f1283907d8b4b434fa32848e0e4a122556e701919a95da75b439`	Upstream only	File metadata
`.eval_results/BrightBiologyRetrieval.yaml`	647 bytes	`a68fca02…010f15d4` `a68fca027604de4c877e7d86b1858c5025c64029c1cddfd351e5d05e010f15d4`	Upstream only	File metadata
`.eval_results/BrightEarthScienceLongRetrieval.yaml`	663 bytes	`4256206c…52fb9a68` `4256206ca8f244b911a94858b8a7d32854fcad90f701e814bfa808d252fb9a68`	Upstream only	File metadata
`.eval_results/BrightEarthScienceRetrieval.yaml`	659 bytes	`5dd5cae9…b274209b` `5dd5cae91c338408a31ba5a5b824edb36e0d3b0d913e38ef678240deb274209b`	Upstream only	File metadata
`.eval_results/BrightEconomicsLongRetrieval.yaml`	655 bytes	`891ee9ad…2f5e9f4b` `891ee9ad5db6ef7708cc2f73f56bd498ba8ea4ad4b6e061eb33472642f5e9f4b`	Upstream only	File metadata
`.eval_results/BrightEconomicsRetrieval.yaml`	651 bytes	`7f0c3385…1f7b51d9` `7f0c33852f1da36d56e041479ef085c0ef53ecf786bbe972fe4a7e4f1f7b51d9`	Upstream only	File metadata
`.eval_results/BrightLeetcodeRetrieval.yaml`	651 bytes	`7d163f44…c5123823` `7d163f441cf3f929d684af2c9c9933e1d6090b25926d18f467e1b168c5123823`	Upstream only	File metadata
`.eval_results/BrightPonyLongRetrieval.yaml`	645 bytes	`502c6c13…6496e0ab` `502c6c13dd57ae95f4eda6f19f88550b971e7fdb46f13b2873c65d796496e0ab`	Upstream only	File metadata
`.eval_results/BrightPonyRetrieval.yaml`	641 bytes	`5b99465c…5155a72c` `5b99465cbd9eb7df09b34dde9895f478a88abaa3b5ff4474b49a5d0f5155a72c`	Upstream only	File metadata
`.eval_results/BrightPsychologyLongRetrieval.yaml`	655 bytes	`4ad33f80…f877dddd` `4ad33f80d26bb613e2def7584455f975c7466cdf61335348cf2159fff877dddd`	Upstream only	File metadata
`.eval_results/BrightPsychologyRetrieval.yaml`	653 bytes	`fd43e8a6…6d12a137` `fd43e8a64eb654e8773aa3ecbc947026edf42f92c629bdd9da87b8b56d12a137`	Upstream only	File metadata
`.eval_results/BrightRoboticsLongRetrieval.yaml`	653 bytes	`9dcdf929…435c64a3` `9dcdf92946535dcf14304cb906cdec0d9db7bd4412a4a0158103cdb1435c64a3`	Upstream only	File metadata
`.eval_results/BrightRoboticsRetrieval.yaml`	647 bytes	`71fdf009…11b82f4f` `71fdf00946b422675b53f598a22db9d3353cee4c4a153103f7cf7c2011b82f4f`	Upstream only	File metadata
`.eval_results/BrightStackoverflowLongRetrieval.yaml`	665 bytes	`d7e90b11…10deadf2` `d7e90b118eae1abb7b55579913a8da02cf1d337b032c0c998777325910deadf2`	Upstream only	File metadata
`.eval_results/BrightStackoverflowRetrieval.yaml`	659 bytes	`9dc86823…840a5aae` `9dc868231ebc0a78b94b3f4e681d476d67fb9e9c630626832e0af21e840a5aae`	Upstream only	File metadata
`.eval_results/BrightSustainableLivingLongRetrieval.yaml`	673 bytes	`7ddd8840…a6d6a45a` `7ddd8840466a84effef1df193ef79e1a6457567925b4e3b28b034832a6d6a45a`	Upstream only	File metadata
`.eval_results/BrightSustainableLivingRetrieval.yaml`	667 bytes	`91644839…1f859c28` `91644839f8ef7ebd5844b2f8ce6719f63af14656e2acef2403895c8b1f859c28`	Upstream only	File metadata
`.eval_results/BrightTheoremQAQuestionsRetrieval.yaml`	669 bytes	`00408cfa…377d797c` `00408cfa91d8677d9c6eefd98d37786d4a6a03b2a8cbb9c8d8364633377d797c`	Upstream only	File metadata
`.eval_results/BrightTheoremQATheoremsRetrieval.yaml`	667 bytes	`ecb1a69a…cf5251f1` `ecb1a69acecd2cb165ff9cd94aec3da58c63fcecd8972258b446f0dbcf5251f1`	Upstream only	File metadata
`1_Pooling/config.json`	200 bytes	`987f7a67…aebb12a0` `987f7a67a38fa564c849bb5d277c52ab9088a84368fc0be31a354125aebb12a0`	Hosted	Herunterladen
`config.json`	655 bytes	`69137736…81abf959` `69137736cab8b8903a07fe8afaafdda25aac55415a12a55d1bffa9f581abf959`	Hosted	Herunterladen
`modules.json`	387 bytes	`c6e29747…5f902b04` `c6e29747481e8b5dd2b58401966aeac910de39092f90cda9a704b1545f902b04`	Hosted	Herunterladen
`onnx/config.json`	653 bytes	`bbb7c133…7545a6b6` `bbb7c1333fc4b3e27fbc9cd5d2070aabcc1d4dfb99917c3633e772f97545a6b6`	Upstream only	File metadata
`onnx/sentencepiece.bpe.model`	5.07 MB	`cfc8146a…e0db2865` `cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865`	Upstream only	File metadata
`onnx/special_tokens_map.json`	167 bytes	`d05497f1…1afc07a7` `d05497f1da52c5e09554c0cd874037a083e1dc1b9cfd48034d1c717f1afc07a7`	Upstream only	File metadata
`onnx/tokenizer.json`	17.1 MB	`0b44a9d7…ebdf4c39` `0b44a9d7b51c3c62626640cda0e2c2f70fdacdc25bbbd68038369d14ebdf4c39`	Upstream only	File metadata
`onnx/tokenizer_config.json`	443 bytes	`a1d6bc87…ff53425b` `a1d6bc8734a6f635dc158508bef000f8e2e5a759c7d92f984b2c86e5ff53425b`	Upstream only	File metadata
`openvino/openvino_model.xml`	363.4 KB	—	Upstream only	File metadata
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Hosted	Herunterladen
`sentencepiece.bpe.model`	5.07 MB	`cfc8146a…e0db2865` `cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865`	Hosted	Herunterladen
`special_tokens_map.json`	167 bytes	`d05497f1…1afc07a7` `d05497f1da52c5e09554c0cd874037a083e1dc1b9cfd48034d1c717f1afc07a7`	Hosted	Herunterladen
`tokenizer.json`	17.1 MB	`0b44a9d7…ebdf4c39` `0b44a9d7b51c3c62626640cda0e2c2f70fdacdc25bbbd68038369d14ebdf4c39`	Upstream only	File metadata
`tokenizer_config.json`	443 bytes	`a1d6bc87…ff53425b` `a1d6bc8734a6f635dc158508bef000f8e2e5a759c7d92f984b2c86e5ff53425b`	Hosted	Herunterladen
Docs
`.gitattributes`	1.57 KB	`34448b82…e012a930` `34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930`	Upstream only	File metadata
`README.md`	497.5 KB	`0038de97…241e9c1c` `0038de97aee16258cecbad7ffda4b4febd6953e747a00e0ddbc8e6ed241e9c1c`	Upstream only	File metadata

Einen Download prüfen

In the folder where you saved model.safetensors, run:

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

multilingual-e5-small

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