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

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

It depends on your memory, processor, file format and runtime. Hugging Bay offers 15 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-instruct 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: dd6b6e4f52db0a7aff83a13d10e6c5342ef9f6ab799bad3221f4b35ef390fa85. 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 2026-08-02 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

Nextcloud-AI/multilingual-e5-large-instruct

Model details

text embeddingsLicense: mitSHA-256 recorded for 15 of 18 filessafetensors · ONNX

Content controls: not assessed.

The catalog lists this model for finding useful details in data. Catalog sources: license, task.

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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-nextcloud-ai-multilingual-e5-large-instruct/model.safetensors",
    "model.safetensors",
)

Other ways

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15 hosted of 18 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors1.12 GB · 1 file Download · 1.12 GB (1 file)

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

15 hosted of 18 listed

Hashes recorded. Date not recorded.

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

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multilingual-e5-large-instruct

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

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