3gpp-embedding-model-v0 safetensors download | Hugging Bay

Q: What is this model?

iris49/3gpp-embedding-model-v0 is an embedding model for sentence similarity and retrieval published by iris49, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: iris49/3gpp-embedding-model-v0

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: at least 11 listed files; full count and size unknown. The full repository size is not recorded. The recommended download, model.safetensors, is 438 MB.

Q: What can I download here?

Hosted here: at least 11 listed files; full count and size unknown. Full repo upstream: unknown. The original release is at https://huggingface.co/iris49/3gpp-embedding-model-v0.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 11 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-iris49-3gpp-embedding-model-v0/safety on Hugging Bay.

Q: Will iris49/3gpp-embedding-model-v0 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.

iris49

3gpp-embedding-model-v0

iris49/3gpp-embedding-model-v0

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 11 of 12 filessafetensors

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-iris49-3gpp-embedding-model-v0/model.safetensors",
    "model.safetensors",
)

Other ways

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11 hosted of 12 listed · Hashes recorded. Date not recorded.

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

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

11 hosted of 12 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	438 MB	`ec4faa50…fd5b03de` `ec4faa50a6dabb8a103c310999b4cdf73deb1705f52bfc37c198e76efd5b03de`	Hosted	Baixar
Tokenizer & config
`1_Pooling/config.json`	296 bytes	`d02ebf56…4350ce38` `d02ebf56344d20f773449b15d0c10ee9a86a9178f3b3c9bfecb8b87d4350ce38`	Hosted	Baixar
`config.json`	795 bytes	`a05a8504…a73c268f` `a05a8504fd84996f3a04986f452643868ac20240bf4d72a52779129ea73c268f`	Hosted	Baixar
`config_sentence_transformers.json`	205 bytes	`ec7e67a1…bd2c210d` `ec7e67a1d18aa54b64df72314dd9608e2cca4558e1dfdf01e781651abd2c210d`	Hosted	Baixar
`sentence_bert_config.json`	52 bytes	`84e39fda…2a693cbf` `84e39fda68ccbff05bfa723ae9c0e70e23e2ec373b76e0f8c6e71af72a693cbf`	Hosted	Baixar
`special_tokens_map.json`	695 bytes	`5d5b662e…a350503a` `5d5b662e421ea9fac075174bb0688ee0d9431699900b90662acd44b2a350503a`	Hosted	Baixar
`tokenizer.json`	711.6 KB	`91f1def9…911a1854` `91f1def9b9391fdabe028cd3f3fcc4efd34e5d1f08c3bf2de513ebb5911a1854`	Hosted	Baixar
`tokenizer_config.json`	1.43 KB	`9ca59277…48735810` `9ca59277519f6e3692c8685e26b94d4afca2d5438deff66483db495e48735810`	Hosted	Baixar
`vocab.txt`	231.5 KB	`07eced37…992038a3` `07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3`	Hosted	Baixar
`modules.json`	349 bytes	`84e40c8e…7cf642cf` `84e40c8e006c9b1d6c122e02cba9b02458120b5fb0c87b746c41e0207cf642cf`	Hosted	Baixar
Docs
`README.md`	43.2 KB	`878af78b…5aa0efe1` `878af78b100cbf84607bfa9e5ad766549abfd86b66ca6c0ead7e0d445aa0efe1`	Hosted	Baixar
`.gitattributes`	0 bytes	—	Upstream only	File metadata

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3gpp-embedding-model-v0

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