multilingual-e5-large-instruct download | Hugging Bay

Q: What is this model?

intfloat/multilingual-e5-large-instruct 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-instruct · 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: 16 files, 1.16 GB. The full repository size is not recorded. The recommended download, model.safetensors, is 1.12 GB.

Q: What can I download here?

Hosted here: 16 files, 1.16 GB. Full repo upstream: unknown. The original release is at https://huggingface.co/intfloat/multilingual-e5-large-instruct.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 16 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-instruct/safety on Hugging Bay.

Q: Will intfloat/multilingual-e5-large-instruct 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-large-instruct

intfloat/multilingual-e5-large-instruct

text embeddingsLicense: mitHashes recordedsafetensors · ONNX

Content controls: not assessed.

Model from Hugging Face for feature extraction: intfloat/multilingual-e5-large-instruct · sentence transformers

View as JSON →

16 hosted of 19 listed

Hashes recorded. Date not recorded.

File	Tamaño	SHA-256	Origen	Descargar
Weights
`model.safetensors` Default	1.12 GB	`dd6b6e4f…f390fa85` `dd6b6e4f52db0a7aff83a13d10e6c5342ef9f6ab799bad3221f4b35ef390fa85`	Hosted	Descargar
`onnx/model.onnx_data`	0 bytes	—	Upstream only	File metadata
Tokenizer & config
`1_Pooling/config.json`	271 bytes	`aa629215…c8c8d046` `aa629215c1d83e73d9c51184e566f2c53456bc742f936984355a2990c8c8d046`	Hosted	Descargar
`config.json`	690 bytes	`d185df63…3b595a35` `d185df634c872f06fc6dcb3bad4375d3c447234baea8a6e548103f653b595a35`	Hosted	Descargar
`config_sentence_transformers.json`	128 bytes	`7e16d286…23d17e28` `7e16d286cc304f7d34ffb4e21fa1a11f227cf2b6d49cb615aa44d87723d17e28`	Hosted	Descargar
`modules.json`	349 bytes	`84e40c8e…7cf642cf` `84e40c8e006c9b1d6c122e02cba9b02458120b5fb0c87b746c41e0207cf642cf`	Hosted	Descargar
`onnx/config.json`	763 bytes	`3762389b…1e458ba3` `3762389b621283a0466d96f699fc1a0f160de49c4b50adcc87b537931e458ba3`	Hosted	Descargar
`onnx/sentencepiece.bpe.model`	5.07 MB	`cfc8146a…e0db2865` `cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865`	Hosted	Descargar
`onnx/special_tokens_map.json`	964 bytes	`8c785abe…4cf10835` `8c785abebea9ae3257b61681b4e6fd8365ceafde980c21970d001e834cf10835`	Hosted	Descargar
`onnx/tokenizer.json`	17.1 MB	`f59925fc…c39b81af` `f59925fcb90c92b894cb93e51bb9b4a6105c5c249fe54ce1c704420ac39b81af`	Hosted	Descargar
`onnx/tokenizer_config.json`	1.18 KB	`49f06d15…489f8175` `49f06d15a18f81855c338f8ab6241ca2e502a65b62968be69b74f094489f8175`	Hosted	Descargar
`sentence_xlm-roberta_config.json`	53 bytes	`ec8e29d6…5a8d0d51` `ec8e29d6dcb61b611b7d3fdd2982c4524e6ad985959fa7194eacfb655a8d0d51`	Hosted	Descargar
`sentencepiece.bpe.model`	5.07 MB	`cfc8146a…e0db2865` `cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865`	Hosted	Descargar
`special_tokens_map.json`	964 bytes	`8c785abe…4cf10835` `8c785abebea9ae3257b61681b4e6fd8365ceafde980c21970d001e834cf10835`	Hosted	Descargar
`tokenizer.json`	17.1 MB	`f59925fc…c39b81af` `f59925fcb90c92b894cb93e51bb9b4a6105c5c249fe54ce1c704420ac39b81af`	Hosted	Descargar
`tokenizer_config.json`	1.18 KB	`49f06d15…489f8175` `49f06d15a18f81855c338f8ab6241ca2e502a65b62968be69b74f094489f8175`	Hosted	Descargar
`onnx/model.onnx`	0 bytes	—	Upstream only	File metadata
Docs
`README.md`	140.2 KB	`41676700…1940ce51` `41676700d80691ac2f4397ee2b546ef58f9e3236af2f3d0770ab0fa61940ce51`	Hosted	Descargar
`.gitattributes`	0 bytes	—	Upstream only	File metadata

Comprobar una descarga

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-large-instruct

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