word2vec-quantized safetensors download | Hugging Bay

Q: What is this model?

NeuML/word2vec-quantized is an embedding model for sentence similarity and retrieval published by NeuML, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: NeuML/word2vec-quantized

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: 4 files, 109.6 MB. The full repository size is not recorded. The recommended download, model.safetensors, is 30.3 MB.

Q: What can I download here?

Hosted here: 4 files, 109.6 MB. Full repo upstream: unknown. The original release is at https://huggingface.co/NeuML/word2vec-quantized.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 4 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-neuml-word2vec-quantized/safety on Hugging Bay.

Q: Will NeuML/word2vec-quantized 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.

NeuML

word2vec-quantized

NeuML/word2vec-quantized

sentence similarity and retrievalLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face: NeuML/word2vec-quantized

View as JSON →

4 hosted of 5 listed

Hashes recorded. Date not recorded.

File	Tamaño	SHA-256	Origen	Descargar
Weights
`model.safetensors` Default	30.3 MB	`bba9a7b3…55c5e031` `bba9a7b3e81279a7d475ac3a7c94fe75c1594c552120dc92144be87555c5e031`	Hosted	Descargar
Tokenizer & config
`config.json`	167 bytes	`5d4ed554…16130dd1` `5d4ed5548f5e527237351269df323459b756bdd98f272b283055c16a16130dd1`	Hosted	Descargar
`vocab.json`	79.3 MB	`80eee12a…8dbced7f` `80eee12aacfcf214f386f2073eb2a2a5b4e385c260b9670a9bb7fc8a8dbced7f`	Hosted	Descargar
Docs
`README.md`	975 bytes	`016b406c…ee15b033` `016b406c0dff5da844e21e7a09a93da168546098fc4abe580facd386ee15b033`	Hosted	Descargar
`.gitattributes`	0 bytes	—	Upstream only	File metadata

Comprobar una descarga

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.

word2vec-quantized

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