devdata-search-multilingual-e5-small-cgist download

Q: What is this model?

ai4data/devdata-search-multilingual-e5-small-cgist is an embedding model for text embeddings published by ai4data, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for feature extraction: ai4data/devdata-search-multilingual-e5-small-cgist · sentence transformers

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: 7 files, 487.7 MB. Full repo upstream: 487.7 MB. The recommended download, model.safetensors, is 470.6 MB.

Q: What can I download here?

Hosted here: 7 files, 487.7 MB. Full repo upstream: 487.7 MB. The original release is at https://huggingface.co/ai4data/devdata-search-multilingual-e5-small-cgist.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 7 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-ai4data-devdata-search-multilingual-e5-small-cgist/safety on Hugging Bay.

Q: Will ai4data/devdata-search-multilingual-e5-small-cgist 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.

ai4data

devdata-search-multilingual-e5-small-cgist

ai4data/devdata-search-multilingual-e5-small-cgist

Model details

text embeddingsLicense: apache-2.0SHA-256 recorded for 7 of 10 filessafetensors

Content controls: not assessed.

The catalog lists this model for turning text into vectors. Catalog sources: license, cardMetadata.license, baseModel, cardMetadata.libraryName, modality, task, cardMetadata.pipelineTag.

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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-ai4data-devdata-search-multilingual-e5-small-cgist/model.safetensors",
    "model.safetensors",
)

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

Selected downloadmodel.safetensors471 MB · 1 file Download · 471 MB (1 file)

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7 hosted of 10 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	470.6 MB	`e335d16a…f0d3a50a` `e335d16a3baf04fa1d9e417f2642451a4355b2c97fc01927f885e71ff0d3a50a`	Hosted	Baixar
Tokenizer & config
`1_Pooling/config.json`	90 bytes	—	Upstream only	File metadata
`config.json`	751 bytes	`093c0246…a61c03d8` `093c0246932201259bc5143fde4e6c69b89b9cdddaf98ebd9175f31ba61c03d8`	Hosted	Baixar
`config_sentence_transformers.json`	284 bytes	`32863f3e…a7dfaf72` `32863f3e17dfc6edb4ea2a8a9d311478627bf6d9b4aa105956c6e36ca7dfaf72`	Hosted	Baixar
`modules.json`	429 bytes	`fa7d796a…c90f459c` `fa7d796a215e1b2416773062891923b191fc5a4849bc44e322997433c90f459c`	Hosted	Baixar
`sentence_bert_config.json`	241 bytes	`30841640…ad186fc8` `3084164002c0bca01b0259c5327123803fce32e660a57feb93184ffead186fc8`	Hosted	Baixar
`tokenizer.json`	17.1 MB	`fbcc3c73…c712d8f0` `fbcc3c7348739d765de2c86fce14c9c5e2dd47696dbb3cfeed294edfc712d8f0`	Hosted	Baixar
`tokenizer_config.json`	598 bytes	`172cd26d…a4e78cc9` `172cd26dde3852a786e60c1bdc3b3fd4bbf95f25a1f42ac938db920aa4e78cc9`	Hosted	Baixar
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	1.76 KB	—	Upstream only	File metadata

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devdata-search-multilingual-e5-small-cgist

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