e5-v safetensors download | Hugging Bay

Q: What is this model?

royokong/e5-v is an embedding model for sentence similarity and retrieval published by royokong, added to Hugging Bay Sep 21, 2026. Model from Hugging Face for sentence similarity: royokong/e5-v · sentence transformers

Q: Can I use it commercially?

License: unknown. Check the upstream license text or ask the model author before commercial use.

Q: How big is it?

Hosted here: at least 17 listed files; full count and size unknown. Full repo upstream: 16.7 GB.

Q: What can I download here?

Hosted here: at least 17 listed files; full count and size unknown. Full repo upstream: 16.7 GB.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 17 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-royokong-e5-v/safety on Hugging Bay.

Q: Will royokong/e5-v 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.

royokong

e5-v

royokong/e5-v

Model details

sentence similarity and retrievalLicense: unknownSHA-256 recorded for 17 of 22 filessafetensors

Content controls: not assessed.

The catalog lists this model for checking whether two sentences mean similar things. Catalog sources: task, cardMetadata.pipelineTag.

View as JSON →

17 hosted of 22 listed

Hashes recorded. Date not recorded.

File	Tamaño	SHA-256	Origen	Descargar
Weights
`model-00001-of-00004.safetensors`	4.96 GB	`808e717b…c8156ece` `808e717b4bb418bbad48bda56bcf349263abc0b883d21bdf444b3e7ec8156ece`	Hosted	Descargar
`model-00002-of-00004.safetensors`	4.92 GB	`e9bb6d51…5c26e626` `e9bb6d5178fa98d90a8e58acefa8d4eb5a3cb48b8b4968235c0477b95c26e626`	Hosted	Descargar
`model-00003-of-00004.safetensors`	5 GB	`63d0c121…401ee2ca` `63d0c121ea0a9d3ce8bb15da8e795760c3bab162bf97baf02d04f552401ee2ca`	Hosted	Descargar
`model-00004-of-00004.safetensors`	1.84 GB	`2b67050a…3d149dfc` `2b67050ab65d5005ef314d29e2d03f7cf2bf6cb4d770460980a2e9a33d149dfc`	Hosted	Descargar
Tokenizer & config
`1_Pooling/config.json`	96 bytes	—	Upstream only	File metadata
`assets/cat.jpg`	13.8 KB	—	Upstream only	File metadata
`assets/dog.jpg`	32.2 KB	—	Upstream only	File metadata
`chat_template.jinja`	849 bytes	`bcf97b44…a1ae90ff` `bcf97b4476bd4ae489942db4f760c4212fc0413bfcb01cb79bff8d92a1ae90ff`	Hosted	Descargar
`config.json`	1.36 KB	`2ac283f7…0e515da8` `2ac283f78bd49ea4fccd86bc08ce2f1a246d09cd57c1a7971f8e72a50e515da8`	Hosted	Descargar
`config_sentence_transformers.json`	244 bytes	`884337b2…7f4174d2` `884337b2876b1c43757c37272f81f611be2903f12105496e82a5254c7f4174d2`	Hosted	Descargar
`generation_config.json`	121 bytes	`b9d8b997…56ae82f1` `b9d8b997eed8dd7cd087651824046aa3a2731cb1a7ff48c4395fab0d56ae82f1`	Hosted	Descargar
`model.safetensors.index.json`	70.2 KB	`81fdfdcc…af54028a` `81fdfdccc0e1ed092bbdfb7b70b087c749d539382a28057017946083af54028a`	Hosted	Descargar
`preprocessor_config.json`	772 bytes	`ecef425c…525b8c55` `ecef425c1d3ee91f5e05144c4d107389f9fefd04a424d5cbfc3fb6e0525b8c55`	Hosted	Descargar
`processor_config.json`	110 bytes	`4f8c23cb…a941a0ae` `4f8c23cb67cf992c6b7430e444022ac9a99dbe8a72930d725588a404a941a0ae`	Hosted	Descargar
`sentence_bert_config.json`	626 bytes	`0f324316…ad501456` `0f324316a89d2f4eef3e9f9cd2010c01fc3bcc18b14f783094d9d734ad501456`	Hosted	Descargar
`special_tokens_map.json`	325 bytes	`1b1835ca…e1e40ff8` `1b1835caa5b4d70acaa210fa222b0036f1882f9525c4660fd4810fb3e1e40ff8`	Hosted	Descargar
`tokenizer.json`	9.09 MB	`0463c7d0…8e246e73` `0463c7d06c624a4ddda987ebe5955b3c65de9c7f3d165a064d2b34cf8e246e73`	Hosted	Descargar
`tokenizer_config.json`	51.2 KB	`0ff14297…88cc5676` `0ff14297c9445108213cda2b5c7a0432f9fdce90376d78f4310f1a2588cc5676`	Hosted	Descargar
`modules.json`	429 bytes	`fa7d796a…c90f459c` `fa7d796a215e1b2416773062891923b191fc5a4849bc44e322997433c90f459c`	Hosted	Descargar
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`LICENSE`	11.4 KB	`43070e2d…5e1379c1` `43070e2d4e532684de521b885f385d0841030efa2b1a20bafb76133a5e1379c1`	Hosted	Descargar
`README.md`	3.78 KB	—	Upstream only	File metadata

Comprobar una descarga

In the folder where you saved LICENSE, run:

macOS

shasum -a 256 -- 'LICENSE'

Linux

sha256sum -- 'LICENSE'

Windows

Get-FileHash -LiteralPath 'LICENSE' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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