e5-base-v2 safetensors download (438 MB) | Hugging Bay

Q: What is this model?

vectoriseai/e5-base-v2 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-base-v2 · 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, 438.7 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, 438.7 MB. Full repo upstream: 1.42 GB. The original release is at https://huggingface.co/vectoriseai/e5-base-v2.

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-v2/safety on Hugging Bay.

Q: Will vectoriseai/e5-base-v2 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-v2

vectoriseai/e5-base-v2

Model details

sentence similarity and retrievalLicense: mitSHA-256 recorded for 11 of 15 filessafetensors · ONNX · BIN

Content controls: not assessed.

Listed for comparing sentences; for developers building text similarity tools. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

View as JSON →

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-vectoriseai-e5-base-v2/model.safetensors",
    "model.safetensors",
)

Other ways

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

Selected downloadmodel.safetensors438 MB · 1 file Download · 438 MB (1 file)

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Check your download →

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

8 hosted of 15 listed

Hashes recorded. Date not recorded.

File	大小	SHA-256	来源	下载
Weights
`model.safetensors` Default	438 MB	`d0d559c4…e6a8f693` `d0d559c47d5f71b1d280b13b62a2657f3e3bc70c0786f9ab91a36545e6a8f693`	Hosted	下载
`onnx/model.onnx`	435.8 MB	`7c65bec2…b75a5dd5` `7c65bec2e3ae59c9f3ab86d4a9762c1a73677b5d7edbb41263cddb10b75a5dd5`	Upstream only	File metadata
`onnx/model_quantized.onnx`	110.1 MB	`251e9ea1…bb7befbd` `251e9ea18f3228c049e6b89d418ffcdcd676f26ab9e17ee497e6cf9cbb7befbd`	Upstream only	File metadata
`pytorch_model.bin`	438 MB	`5b119cd3…e478c273` `5b119cd34c663c26fcd8bbe82e9873e9a16c6588b9817a4243947a6de478c273`	Upstream only	File metadata
Tokenizer & config
`1_Pooling/config.json`	200 bytes	—	Upstream only	File metadata
`config.json`	650 bytes	`01cc39aa…702f5f78` `01cc39aa39538a8179aa131c8a16adc03b506c92009f091502e4eb0c702f5f78`	Hosted	下载
`modules.json`	387 bytes	`c6e29747…5f902b04` `c6e29747481e8b5dd2b58401966aeac910de39092f90cda9a704b1545f902b04`	Hosted	下载
`quantize_config.json`	674 bytes	`9b42951d…9d7380d0` `9b42951d58e9998f4a9384cf4ac18eae7cb2a30ecf359f771e382fb49d7380d0`	Hosted	下载
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Hosted	下载
`special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	下载
`tokenizer.json`	711.4 KB	`d241a60d…1f9e5c66` `d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66`	Hosted	下载
`tokenizer_config.json`	314 bytes	`ae83fa6c…a0ca4544` `ae83fa6ca0333117ff12606020af925d648667ef70d92ff7f27d781ba0ca4544`	Hosted	下载
`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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In the folder where you saved model.safetensors, run:

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e5-base-v2

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