e5-small-v2 safetensors download (133 MB) | Hugging Bay

Q: What is this model?

Karmukilan/e5-small-v2 is an embedding model for sentence similarity and retrieval published by Karmukilan, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: Karmukilan/e5-small-v2

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: 10 files, 134.5 MB. The full repository size is not recorded. The recommended download, model.safetensors, is 133.5 MB.

Q: What can I download here?

Hosted here: 10 files, 134.5 MB. Full repo upstream: unknown. The original release is at https://huggingface.co/Karmukilan/e5-small-v2.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 10 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-karmukilan-e5-small-v2/safety on Hugging Bay.

Q: Will Karmukilan/e5-small-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.

Karmukilan

e5-small-v2

Karmukilan/e5-small-v2

Model details

sentence similarity and retrievalLicense: mitSHA-256 recorded for 10 of 20 filesONNX · safetensors · BIN · H5

Content controls: not assessed.

The catalog lists this model for checking whether two sentences mean similar things. Catalog sources: license, task.

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-karmukilan-e5-small-v2/model.safetensors",
    "model.safetensors",
)

Other ways

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10 hosted of 20 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors133 MB · 1 file Download · 133 MB (1 file)

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Check your download →

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

10 hosted of 20 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	133.5 MB	`45bfa600…1c5116c1` `45bfa60070649aae2244fbc9d508537779b93b6f353c17b0f95ceccb1c5116c1`	Hosted	Herunterladen
`openvino/openvino_model.bin`	0 bytes	—	Upstream only	File metadata
`openvino/openvino_model_qint8_quantized.bin`	0 bytes	—	Upstream only	File metadata
`pytorch_model.bin`	0 bytes	—	Upstream only	File metadata
Tokenizer & config
`1_Pooling/config.json`	200 bytes	`987f7a67…aebb12a0` `987f7a67a38fa564c849bb5d277c52ab9088a84368fc0be31a354125aebb12a0`	Hosted	Herunterladen
`config.json`	615 bytes	`5dfb0363…342adc2f` `5dfb0363cd0243be179c03bcaafd1542d0fbb95e8cbcf575fff3e229342adc2f`	Hosted	Herunterladen
`modules.json`	387 bytes	`c6e29747…5f902b04` `c6e29747481e8b5dd2b58401966aeac910de39092f90cda9a704b1545f902b04`	Hosted	Herunterladen
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Hosted	Herunterladen
`special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	Herunterladen
`tokenizer.json`	711.4 KB	`d241a60d…1f9e5c66` `d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66`	Hosted	Herunterladen
`tokenizer_config.json`	314 bytes	`ae83fa6c…a0ca4544` `ae83fa6ca0333117ff12606020af925d648667ef70d92ff7f27d781ba0ca4544`	Hosted	Herunterladen
`vocab.txt`	231.5 KB	`07eced37…992038a3` `07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3`	Hosted	Herunterladen
`model.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_O4.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_qint8_avx512_vnni.onnx`	0 bytes	—	Upstream only	File metadata
`openvino/openvino_model.xml`	0 bytes	—	Upstream only	File metadata
`openvino/openvino_model_qint8_quantized.xml`	0 bytes	—	Upstream only	File metadata
`tf_model.h5`	0 bytes	—	Upstream only	File metadata
Docs
`README.md`	67.8 KB	`0d57eda4…f60b0b24` `0d57eda4766cc7ac045f2bf7e700286ea5a8360bb9b57278f67f9b8ef60b0b24`	Hosted	Herunterladen
`.gitattributes`	0 bytes	—	Upstream only	File metadata

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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-small-v2

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