e5-large-v2 safetensors download (1.34 GB) | Hugging Bay

Q: What is this model?

intfloat/e5-large-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-large-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, 1.34 GB. Full repo upstream: 6.7 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: 6.7 GB. The original release is at https://huggingface.co/intfloat/e5-large-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-intfloat-e5-large-v2/safety on Hugging Bay.

Q: Will intfloat/e5-large-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-large-v2

intfloat/e5-large-v2

sentence similarity and retrievalLicense: mitHashes recordedsafetensors · ONNX · BIN

Content controls: not assessed.

Model from Hugging Face for sentence similarity: intfloat/e5-large-v2 · sentence transformers

View as JSON →

8 hosted of 20 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	1.34 GB	`d741c1a6…9ae2911a` `d741c1a688a6169af0ecb5a047c44645cd992c31e1bf431269f98bba9ae2911a`	Hosted	Download
`onnx/model.onnx`	1.34 GB	`f560bbc5…849cbcf8` `f560bbc5da586764fc6ccf54990bac71f94e5a872ed4e1889039391c849cbcf8`	Upstream only	File metadata
`onnx/model_O4.onnx`	668.5 MB	`4ed58868…c428234d` `4ed58868e4b3d17c5106dfe83b52de7f4b41fcad401c9ecc37159120c428234d`	Upstream only	File metadata
`onnx/model_qint8_avx512_vnni.onnx`	337.2 MB	`40be69cb…1587a3d7` `40be69cbaec2d84c8ee11a5523e16958251111e1573d6c311f48ed481587a3d7`	Upstream only	File metadata
`openvino/openvino_model.bin`	1.34 GB	`e1c8fee2…bdee1435` `e1c8fee29a7ecec8fe692ce16d33d1a05fe912a112eaf5c183283ff6bdee1435`	Upstream only	File metadata
`openvino/openvino_model_qint8_quantized.bin`	336.8 MB	`763705b0…66ec9408` `763705b01203217a9ee09e151153772a4d8c8fc430eb07a8dad8c7d966ec9408`	Upstream only	File metadata
`pytorch_model.bin`	1.34 GB	`7d3fda35…7a4e9c5e` `7d3fda35853349a026a61027d93bbfd65d7658287a2043f95af3e4397a4e9c5e`	Upstream only	File metadata
Tokenizer & config
`1_Pooling/config.json`	201 bytes	`56c469db…b31d62d1` `56c469dba9e31869bb7dfceb9b3d76ac06549d1ba869509d8eb4e8aeb31d62d1`	Hosted	Download
`config.json`	616 bytes	`2394ce5c…dfd7a269` `2394ce5c9ffac96c88496de5d7a92f5d3fec1015b9d25f9f85545f13dfd7a269`	Hosted	Download
`handler.py`	1.13 KB	—	Upstream only	File metadata
`modules.json`	387 bytes	`c6e29747…5f902b04` `c6e29747481e8b5dd2b58401966aeac910de39092f90cda9a704b1545f902b04`	Hosted	Download
`openvino/openvino_model.xml`	707.8 KB	—	Upstream only	File metadata
`openvino/openvino_model_qint8_quantized.xml`	1.31 MB	—	Upstream only	File metadata
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Hosted	Download
`special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	Download
`tokenizer.json`	711.4 KB	`d241a60d…1f9e5c66` `d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66`	Upstream only	File metadata
`tokenizer_config.json`	314 bytes	`ae83fa6c…a0ca4544` `ae83fa6ca0333117ff12606020af925d648667ef70d92ff7f27d781ba0ca4544`	Hosted	Download
`vocab.txt`	231.5 KB	`07eced37…992038a3` `07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3`	Hosted	Download
Docs
`.gitattributes`	1.48 KB	`db7c0371…b8fae5a6` `db7c0371f46f0840b8f25794c1e3321c9b5820a8cb6ba9694a46fc64b8fae5a6`	Upstream only	File metadata
`README.md`	67.8 KB	`478cc58f…9e14d740` `478cc58fb7c5e4412a6c85f3fd0abb2898a1d7c2bc12db10d14892629e14d740`	Upstream only	File metadata

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Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

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e5-large-v2

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