e5-large safetensors download (2.24 GB) | Hugging Bay

Q: What is this model?

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

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 10 listed files; full count and size unknown. The full repository size is not recorded. The recommended download, model.safetensors, is 2.24 GB.

Q: What can I download here?

Hosted here: at least 10 listed files; full count and size unknown. Full repo upstream: unknown. The original release is at https://huggingface.co/OrcaDB/e5-large.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 10 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-orcadb-e5-large/safety on Hugging Bay.

Q: Will OrcaDB/e5-large 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.

OrcaDB

e5-large

OrcaDB/e5-large

text embeddingsLicense: mitHashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face: OrcaDB/e5-large

View as JSON →

10 hosted of 11 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	2.24 GB	`d0d642a9…3043cf20` `d0d642a915473631cdf27ac25ca63d7fdd75a3bc3ef6cac2202cbcd63043cf20`	Hosted	Herunterladen
Tokenizer & config
`1_Pooling/config.json`	297 bytes	`4e103b8e…907b3822` `4e103b8e2a31573ea88570523c2db4f13d34e09a26333e8a889268ed907b3822`	Hosted	Herunterladen
`config.json`	857 bytes	`3b32039b…e3db4db2` `3b32039b87e9f77b428ae9c2210bee46b4d39c672bf5742c11041a36e3db4db2`	Hosted	Herunterladen
`config_sentence_transformers.json`	195 bytes	`fb1e9334…21fe18a0` `fb1e933433e64dae55e450efb4181d7ada594f4b9e3cea642722e15f21fe18a0`	Hosted	Herunterladen
`sentence_bert_config.json`	53 bytes	`ec8e29d6…5a8d0d51` `ec8e29d6dcb61b611b7d3fdd2982c4524e6ad985959fa7194eacfb655a8d0d51`	Hosted	Herunterladen
`special_tokens_map.json`	964 bytes	`8c785abe…4cf10835` `8c785abebea9ae3257b61681b4e6fd8365ceafde980c21970d001e834cf10835`	Hosted	Herunterladen
`tokenizer.json`	17.1 MB	`3a56def2…00fe2a20` `3a56def25aa40facc030ea8b0b87f3688e4b3c39eb8b45d5702b3a1300fe2a20`	Hosted	Herunterladen
`tokenizer_config.json`	1.18 KB	`49f06d15…489f8175` `49f06d15a18f81855c338f8ab6241ca2e502a65b62968be69b74f094489f8175`	Hosted	Herunterladen
`modules.json`	349 bytes	`84e40c8e…7cf642cf` `84e40c8e006c9b1d6c122e02cba9b02458120b5fb0c87b746c41e0207cf642cf`	Hosted	Herunterladen
Docs
`README.md`	140.2 KB	`22c7d99c…37583f17` `22c7d99c318ecc1889ff3bdecd5f10adc2195bcf5c4d454656250e7f37583f17`	Hosted	Herunterladen
`.gitattributes`	0 bytes	—	Upstream only	File metadata

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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.

e5-large

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