e5-large safetensors download (1.34 GB) | Hugging Bay

Q: What is this model?

vectoriseai/e5-large is an embedding model for sentence similarity and retrieval published by vectoriseai, added to Hugging Bay Sep 24, 2026. Model from Hugging Face for sentence similarity: vectoriseai/e5-large · 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, 1.34 GB. Full repo upstream: 4.36 GB. The recommended download, model.safetensors, is 1.34 GB.

Q: What can I download here?

Hosted here: 8 files, 1.34 GB. Full repo upstream: 4.36 GB. The original release is at https://huggingface.co/vectoriseai/e5-large.

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-large/safety on Hugging Bay.

Q: Will vectoriseai/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.

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e5-large

vectoriseai/e5-large

Model details

sentence similarity and retrievalLicense: mitHashes recordedsafetensors · ONNX · BIN

Content controls: not assessed.

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

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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-vectoriseai-e5-large/model.safetensors",
    "model.safetensors",
)

Other ways

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

Selected downloadmodel.safetensors1.34 GB · 1 file Download · 1.34 GB (1 file)

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8 hosted of 15 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	1.34 GB	`93e04bd3…bfa5fa8e` `93e04bd3ec4911982905395e3c48ee739ddb8aa88380b8ce27f1fd20bfa5fa8e`	Hosted	Download
`onnx/model.onnx`	1.34 GB	`127fe24f…81ba6091` `127fe24fe4b78b0d4c1e9dc94327b53b3966b7c8129b811e4a46722081ba6091`	Upstream only	File metadata
`onnx/model_quantized.onnx`	337 MB	`2b34a9d3…5678f3c8` `2b34a9d36fc920302f99d4a9dc03b5caedbdeef5fe54a4e8d8b6500d5678f3c8`	Upstream only	File metadata
`pytorch_model.bin`	1.34 GB	`c2895f5b…56c83200` `c2895f5b85318ea318234e2f9a5b81b957fdee46a24b196050d5c6df56c83200`	Upstream only	File metadata
Tokenizer & config
`1_Pooling/config.json`	201 bytes	—	Upstream only	File metadata
`config.json`	611 bytes	`d9609254…d98bfb3a` `d960925459889922fd6b3078e05d89c5b0fadd0018d26421699066cdd98bfb3a`	Hosted	Download
`modules.json`	387 bytes	`c6e29747…5f902b04` `c6e29747481e8b5dd2b58401966aeac910de39092f90cda9a704b1545f902b04`	Hosted	Download
`quantize_config.json`	674 bytes	`e7329b98…84b4239e` `e7329b9850f77edcf2f36e2728767735985c8308bd680fd3e91caf4e84b4239e`	Hosted	Download
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Hosted	Download
`special_tokens_map.json`	112 bytes	`303df45a…5ec200e3` `303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3`	Hosted	Download
`tokenizer.json`	466.1 KB	`5fd1c882…d9de550b` `5fd1c882abbd30517dced455a2c9768945ec726b96727927e4959348d9de550b`	Hosted	Download
`tokenizer_config.json`	385 bytes	`8ccb5459…ef7aed3d` `8ccb5459f367df07ad1a072b1f12480183163386b6e889cff5463040ef7aed3d`	Hosted	Download
`vocab.txt`	231.5 KB	—	Upstream only	File metadata
Docs
`.gitattributes`	1.48 KB	—	Upstream only	File metadata
`README.md`	67.8 KB	—	Upstream only	File metadata

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e5-large

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