NV-Embed-v2 safetensors download | Hugging Bay

Q: What is this model?

nvidia/NV-Embed-v2 is an embedding model for text embeddings published by nvidia, added to Hugging Bay Sep 18, 2026. Model from Hugging Face for feature extraction: nvidia/NV-Embed-v2 · transformers

Q: Can I use it commercially?

It is released under the cc-by-nc-4.0 license. Commercial use is not allowed. cc-by-nc-4.0: commercial use is not permitted; non-commercial use and adaptations require attribution.

Q: How big is it?

Hosted here: at least 12 listed files; full count and size unknown. Full repo upstream: 15.7 GB.

Q: What can I download here?

Hosted here: at least 12 listed files; full count and size unknown. Full repo upstream: 15.7 GB. The original release is at https://huggingface.co/nvidia/NV-Embed-v2.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 12 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-nvidia-nv-embed-v2/safety on Hugging Bay.

Q: Will nvidia/NV-Embed-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.

nvidia

NV-Embed-v2

nvidia/NV-Embed-v2

Model details

text embeddingsLicense: cc-by-nc-4.0SHA-256 recorded for 13 of 19 filessafetensors

Content controls: not assessed.

The catalog lists this model for finding useful details in data. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

View as JSON →

12 hosted of 19 listed

Hashes recorded. Date not recorded.

File	Tamaño	SHA-256	Origen	Descargar
Weights
`model-00001-of-00004.safetensors`	5 GB	`0ce56512…a4802f6a` `0ce5651268058d961eaeabd4f65a5cb5d003ac7e0e34b7095658b5d5a4802f6a`	Hosted	Descargar
`model-00002-of-00004.safetensors`	4.92 GB	`bbd7e85b…9074d57d` `bbd7e85b57afbc74fab67e50a572590ce57dde8b5fa76fe7527c42189074d57d`	Hosted	Descargar
`model-00003-of-00004.safetensors`	5 GB	`87c90f03…d892a85c` `87c90f033107075c9531ed8163d4b087ce77e63596c8510821da15a4d892a85c`	Hosted	Descargar
`model-00004-of-00004.safetensors`	788.6 MB	`44ff251c…82c4c3f5` `44ff251c6b33ed89101915eb82a92575fd7d7daf9db953205f3bb4b982c4c3f5`	Hosted	Descargar
Tokenizer & config
`1_Pooling/config.json`	298 bytes	—	Upstream only	File metadata
`config.json`	2.66 KB	`0a276d24…c4334a0f` `0a276d24c4834ae230bdee3bf771bba3fd340f54a58b7d52964bb4b0c4334a0f`	Hosted	Descargar
`config_sentence_transformers.json`	171 bytes	`ee032a1f…92f46db2` `ee032a1f03783440fa119c46f69eb866528f8f598ed7c46dbfe3a73f92f46db2`	Hosted	Descargar
`configuration_nvembed.py`	3.2 KB	—	Upstream only	File metadata
`instructions.json`	2.57 KB	—	Upstream only	File metadata
`model.safetensors.index.json`	28.2 KB	`f7e412ee…c03b4a26` `f7e412ee9d1fc50fe06c505fc053da24bef0172eacd5348db649349dc03b4a26`	Hosted	Descargar
`modeling_nvembed.py`	18.6 KB	—	Upstream only	File metadata
`sentence_bert_config.json`	55 bytes	`1140b92d…25169a65` `1140b92d307aec9383d897169c9f489f3a568787b80bf760f5d7cc9d25169a65`	Hosted	Descargar
`special_tokens_map.json`	551 bytes	`82d96d7a…857ce7db` `82d96d7a9e6ced037f12394b7ea6a5b02e6ca87e0d11edaa8d60d9be857ce7db`	Hosted	Descargar
`tokenizer.json`	1.8 MB	`bdc45dc7…081642d9` `bdc45dc7f18a5c55e0dcb36f4f187a7c429d6aaa1693a17d20422b85081642d9`	Hosted	Descargar
`tokenizer.model`	493.4 KB	`dadfd56d…5e134055` `dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055`	Upstream only	File metadata
`tokenizer_config.json`	997 bytes	`9eb5863e…dedbfdd2` `9eb5863ef1b6b31ec8d3ef894486324126ff015edb4cc9013e1e0402dedbfdd2`	Hosted	Descargar
`modules.json`	349 bytes	`84e40c8e…7cf642cf` `84e40c8e006c9b1d6c122e02cba9b02458120b5fb0c87b746c41e0207cf642cf`	Hosted	Descargar
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	60.1 KB	—	Upstream only	File metadata

Comprobar una descarga

In the folder where you saved config.json, run:

macOS

shasum -a 256 -- 'config.json'

Linux

sha256sum -- 'config.json'

Windows

Get-FileHash -LiteralPath 'config.json' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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