multilingual-e5-large-instruct download | Hugging Bay

Q: What is this model?

Nextcloud-AI/multilingual-e5-large-instruct is an embedding model for text embeddings published by Nextcloud-AI, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: Nextcloud-AI/multilingual-e5-large-instruct

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 15 listed files; full count and size unknown. The full repository size is not recorded. The recommended download, model.safetensors, is 1.12 GB.

Q: What can I download here?

Hosted here: at least 15 listed files; full count and size unknown. Full repo upstream: unknown. The original release is at https://huggingface.co/Nextcloud-AI/multilingual-e5-large-instruct.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 15 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-nextcloud-ai-multilingual-e5-large-instruct/safety on Hugging Bay.

Q: Will Nextcloud-AI/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.

Nextcloud-AI

multilingual-e5-large-instruct

Nextcloud-AI/multilingual-e5-large-instruct

text embeddingsLicense: mitHashes recordedsafetensors · ONNX

Content controls: not assessed.

Model from Hugging Face: Nextcloud-AI/multilingual-e5-large-instruct

View as JSON →

15 hosted of 18 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	1.12 GB	`dd6b6e4f…f390fa85` `dd6b6e4f52db0a7aff83a13d10e6c5342ef9f6ab799bad3221f4b35ef390fa85`	Hosted	Download
`onnx/model.onnx_data`	0 bytes	—	Upstream only	File metadata
Tokenizer & config
`1_Pooling/config.json`	271 bytes	`aa629215…c8c8d046` `aa629215c1d83e73d9c51184e566f2c53456bc742f936984355a2990c8c8d046`	Hosted	Download
`config.json`	690 bytes	`d185df63…3b595a35` `d185df634c872f06fc6dcb3bad4375d3c447234baea8a6e548103f653b595a35`	Hosted	Download
`config_sentence_transformers.json`	128 bytes	`7e16d286…23d17e28` `7e16d286cc304f7d34ffb4e21fa1a11f227cf2b6d49cb615aa44d87723d17e28`	Hosted	Download
`onnx/config.json`	763 bytes	`3762389b…1e458ba3` `3762389b621283a0466d96f699fc1a0f160de49c4b50adcc87b537931e458ba3`	Hosted	Download
`onnx/sentencepiece.bpe.model`	5.07 MB	`cfc8146a…e0db2865` `cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865`	Hosted	Download
`onnx/special_tokens_map.json`	964 bytes	`8c785abe…4cf10835` `8c785abebea9ae3257b61681b4e6fd8365ceafde980c21970d001e834cf10835`	Hosted	Download
`onnx/tokenizer.json`	17.1 MB	`f59925fc…c39b81af` `f59925fcb90c92b894cb93e51bb9b4a6105c5c249fe54ce1c704420ac39b81af`	Hosted	Download
`onnx/tokenizer_config.json`	1.18 KB	`49f06d15…489f8175` `49f06d15a18f81855c338f8ab6241ca2e502a65b62968be69b74f094489f8175`	Hosted	Download
`sentencepiece.bpe.model`	5.07 MB	`cfc8146a…e0db2865` `cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865`	Hosted	Download
`special_tokens_map.json`	964 bytes	`8c785abe…4cf10835` `8c785abebea9ae3257b61681b4e6fd8365ceafde980c21970d001e834cf10835`	Hosted	Download
`tokenizer.json`	17.1 MB	`f59925fc…c39b81af` `f59925fcb90c92b894cb93e51bb9b4a6105c5c249fe54ce1c704420ac39b81af`	Hosted	Download
`tokenizer_config.json`	1.18 KB	`49f06d15…489f8175` `49f06d15a18f81855c338f8ab6241ca2e502a65b62968be69b74f094489f8175`	Hosted	Download
`modules.json`	349 bytes	`84e40c8e…7cf642cf` `84e40c8e006c9b1d6c122e02cba9b02458120b5fb0c87b746c41e0207cf642cf`	Hosted	Download
`onnx/model.onnx`	0 bytes	—	Upstream only	File metadata
Docs
`README.md`	139.9 KB	`eb883e26…da7bc8dc` `eb883e2682bcd1f5b2dd864fdc95f2b15b11865a35bc5d58ae4577a5da7bc8dc`	Hosted	Download
`.gitattributes`	0 bytes	—	Upstream only	File metadata

Check a download

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

Check a download

Cookies