e5-base safetensors download (438 MB) | Hugging Bay

Q: What is this model?

vectoriseai/e5-base is an embedding model for sentence similarity and retrieval published by vectoriseai, added to Hugging Bay Sep 25, 2026. Model from Hugging Face for sentence similarity: vectoriseai/e5-base · 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: 8 files, 438.4 MB. Full repo upstream: 1.42 GB. The recommended download, model.safetensors, is 438 MB.

Q: What can I download here?

Hosted here: 8 files, 438.4 MB. Full repo upstream: 1.42 GB. The original release is at https://huggingface.co/vectoriseai/e5-base.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-vectoriseai-e5-base/safety on Hugging Bay.

Q: Will vectoriseai/e5-base 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.

vectoriseai

e5-base

vectoriseai/e5-base

sentence similarity and retrievalLicense: mitHashes recordedsafetensors · ONNX · BIN

Content controls: not assessed.

Model from Hugging Face for sentence similarity: vectoriseai/e5-base · sentence transformers

View as JSON →

8 hosted of 15 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	438 MB	`1661c4d3…8dd34a02` `1661c4d3b0de6a7e37821bcbab5f066c3499346e05cae7918094b0cd8dd34a02`	Hosted	Herunterladen
`onnx/model.onnx`	435.8 MB	`a0c66860…e08be875` `a0c66860595a23e369b583295e7a21ef18fd5a44ebe52a8fdbeb58e1e08be875`	Upstream only	File metadata
`onnx/model_quantized.onnx`	110.1 MB	`5dac57e7…da37e5be` `5dac57e73b6097d8335432adaaac25b517ef363c39f6399b3b7167bbda37e5be`	Upstream only	File metadata
`pytorch_model.bin`	438 MB	`bd623a40…6b5de637` `bd623a40c8b841b7c99a464e32e6629d19935a52d123d1ebda7b26606b5de637`	Upstream only	File metadata
Tokenizer & config
`1_Pooling/config.json`	200 bytes	—	Upstream only	File metadata
`config.json`	645 bytes	`bb65cea5…307fa860` `bb65cea558da1083523df83cdbcd3f909fef25d1d57618e90859dc37307fa860`	Hosted	Herunterladen
`modules.json`	387 bytes	`c6e29747…5f902b04` `c6e29747481e8b5dd2b58401966aeac910de39092f90cda9a704b1545f902b04`	Hosted	Herunterladen
`quantize_config.json`	674 bytes	`b99b941e…8546aa6f` `b99b941ece0aee0929597134196a3bc578f22aeb2745dec959a285128546aa6f`	Hosted	Herunterladen
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Hosted	Herunterladen
`special_tokens_map.json`	112 bytes	`303df45a…5ec200e3` `303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3`	Hosted	Herunterladen
`tokenizer.json`	466.1 KB	`5fd1c882…d9de550b` `5fd1c882abbd30517dced455a2c9768945ec726b96727927e4959348d9de550b`	Hosted	Herunterladen
`tokenizer_config.json`	356 bytes	`fd874381…8c9e5d62` `fd8743815b4c0eb0b0fa63ffefc41e669f9bd97325262602ad4111798c9e5d62`	Hosted	Herunterladen
`vocab.txt`	231.5 KB	—	Upstream only	File metadata
Docs
`.gitattributes`	1.48 KB	—	Upstream only	File metadata
`README.md`	67.6 KB	—	Upstream only	File metadata

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e5-base

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