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

Q: What is this model?

intfloat/e5-base-v2 is an embedding model for sentence similarity and retrieval published by intfloat, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for sentence similarity: intfloat/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: at least 23 listed files; full count and size unknown. Full repo upstream: 2.19 GB. The recommended download, model.safetensors, is 438 MB.

Q: What can I download here?

Hosted here: at least 23 listed files; full count and size unknown. Full repo upstream: 2.19 GB. The original release is at https://huggingface.co/intfloat/e5-base-v2.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 23 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-intfloat-e5-base-v2/safety on Hugging Bay.

Q: Will intfloat/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.

intfloat

e5-base-v2

intfloat/e5-base-v2

Model details

sentence similarity and retrievalLicense: mitHashes recordedsafetensors · ONNX · BIN

Content controls: not assessed.

The catalog lists this model for checking whether two sentences mean similar things. 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-intfloat-e5-base-v2/model.safetensors",
    "model.safetensors",
)

Other ways

This file cannot open in the app. The app supports one GGUF file at a time.

See app requirements

23 hosted of 24 listed · Hashes recorded. Date not recorded.

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

Open-file help

Content controls: not assessed.

Check your download →

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

23 hosted of 24 listed

Hashes recorded. Date not recorded.

File	आकार	SHA-256	स्रोत	डाउनलोड करें
Weights
`model.safetensors` Default	438 MB	`d0d559c4…e6a8f693` `d0d559c47d5f71b1d280b13b62a2657f3e3bc70c0786f9ab91a36545e6a8f693`	Hosted	डाउनलोड करें
`onnx/model.onnx`	435.8 MB	`157f97ef…1ac0e96b` `157f97ef1957d34f52efa26f8031371bf9043acc45460cec7ebe94631ac0e96b`	Hosted	डाउनलोड करें
`onnx/model_O4.onnx`	217.8 MB	`af23dd83…7efa1e74` `af23dd830162f92b07928dda24ef9d023fd1792ff5535a47e111b4557efa1e74`	Hosted	डाउनलोड करें
`onnx/model_qint8_avx512_vnni.onnx`	110.1 MB	`f2ff55f6…29b2005e` `f2ff55f62dfca9ce0f4a5656ae0b1571b9fbc5e15eda3b2c56dd32f329b2005e`	Hosted	डाउनलोड करें
`openvino/openvino_model.bin`	435.6 MB	`813bf629…8cf4b880` `813bf62987ce7bf6e9a94d1ff42455376a036ff26463088ca95033d38cf4b880`	Hosted	डाउनलोड करें
`openvino/openvino_model_qint8_quantized.bin`	110 MB	`2d6045bf…2cd86ab6` `2d6045bf41cddc50b04c8cb7a47c2142c7f5689bcc9e49c3f00dbc772cd86ab6`	Hosted	डाउनलोड करें
`pytorch_model.bin`	438 MB	`5b119cd3…e478c273` `5b119cd34c663c26fcd8bbe82e9873e9a16c6588b9817a4243947a6de478c273`	Hosted	डाउनलोड करें
Tokenizer & config
`1_Pooling/config.json`	200 bytes	`f586ab6c…3af13d75` `f586ab6c734af7b8d14d898bfa7faa886f23b46f86dd1730514309893af13d75`	Hosted	डाउनलोड करें
`config.json`	650 bytes	`01cc39aa…702f5f78` `01cc39aa39538a8179aa131c8a16adc03b506c92009f091502e4eb0c702f5f78`	Hosted	डाउनलोड करें
`modules.json`	387 bytes	`c6e29747…5f902b04` `c6e29747481e8b5dd2b58401966aeac910de39092f90cda9a704b1545f902b04`	Hosted	डाउनलोड करें
`onnx/config.json`	632 bytes	`eedcf611…8e029fa4` `eedcf6117fdeb234759a2d2ee684feaef6cb4891a5c54eb4504c61538e029fa4`	Hosted	डाउनलोड करें
`onnx/special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	डाउनलोड करें
`onnx/tokenizer.json`	711.4 KB	`d241a60d…1f9e5c66` `d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66`	Hosted	डाउनलोड करें
`onnx/tokenizer_config.json`	314 bytes	`ae83fa6c…a0ca4544` `ae83fa6ca0333117ff12606020af925d648667ef70d92ff7f27d781ba0ca4544`	Hosted	डाउनलोड करें
`onnx/vocab.txt`	231.5 KB	`07eced37…992038a3` `07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3`	Hosted	डाउनलोड करें
`openvino/openvino_model.xml`	363.1 KB	`16705018…e85f80cb` `16705018270fc1b17d2d0463e3c36e621e9075ec4c0e7f6b6da47265e85f80cb`	Hosted	डाउनलोड करें
`openvino/openvino_model_qint8_quantized.xml`	663.8 KB	`adb412cb…8ba5ee48` `adb412cba9e0d45e35ae92f3d1cb29c4cb9bee691f4809f519a2c6c68ba5ee48`	Hosted	डाउनलोड करें
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Hosted	डाउनलोड करें
`special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	डाउनलोड करें
`tokenizer.json`	711.4 KB	`d241a60d…1f9e5c66` `d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66`	Hosted	डाउनलोड करें
`tokenizer_config.json`	314 bytes	`ae83fa6c…a0ca4544` `ae83fa6ca0333117ff12606020af925d648667ef70d92ff7f27d781ba0ca4544`	Hosted	डाउनलोड करें
`vocab.txt`	231.5 KB	`07eced37…992038a3` `07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3`	Hosted	डाउनलोड करें
Docs
`.gitattributes`	1.48 KB	`db7c0371…b8fae5a6` `db7c0371f46f0840b8f25794c1e3321c9b5820a8cb6ba9694a46fc64b8fae5a6`	Upstream only	File metadata
`README.md`	67.6 KB	`127d92b4…57ca530e` `127d92b493963c5e7f74fcad5190546e19e404e5ff5b5c0c606dbcda57ca530e`	Hosted	डाउनलोड करें

डाउनलोड की जाँच करें

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-base-v2

डाउनलोड की जाँच करें

Cookies