neural-cherche-sparse-embed download | Hugging Bay

Q: What is this model?

raphaelsty/neural-cherche-sparse-embed is an open-weights language model for masked-language modeling published by raphaelsty, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: raphaelsty/neural-cherche-sparse-embed

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: at least 9 listed files; full count and size unknown. The full repository size is not recorded. The recommended download, model.safetensors, is 438.1 MB.

Q: What can I download here?

Hosted here: at least 9 listed files; full count and size unknown. Full repo upstream: unknown. The original release is at https://huggingface.co/raphaelsty/neural-cherche-sparse-embed.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 9 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-raphaelsty-neural-cherche-sparse-embed/safety on Hugging Bay.

Q: Will raphaelsty/neural-cherche-sparse-embed 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.

raphaelsty

neural-cherche-sparse-embed

raphaelsty/neural-cherche-sparse-embed

masked-language modelingLicense: mitHashes recordedPT · safetensors

Content controls: not assessed.

Model from Hugging Face: raphaelsty/neural-cherche-sparse-embed

View as JSON →

9 hosted of 11 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	438.1 MB	`f28d2cd9…dfe9bbfd` `f28d2cd97f79d1a6d5f6ef3a4f2e5e022b9c293dd982e29c7cc21ef9dfe9bbfd`	Hosted	Download
`linear.pt`	0 bytes	—	Upstream only	File metadata
Tokenizer & config
`config.json`	717 bytes	`db960699…1dfea526` `db9606997de8e3286a54131d9390dc59068d8f7f5b9b82efeb5b74c01dfea526`	Hosted	Download
`generation_config.json`	90 bytes	`c8178251…f489d7fc` `c81782513838a12986c9f52ecfac89113edccec34e99887319fa0d5cf489d7fc`	Hosted	Download
`metadata.json`	222 bytes	`da1bbccc…6b0f9039` `da1bbccca99ac8b7eddb07dcc60abd4cc2b0c1562700e2d4fed8950e6b0f9039`	Hosted	Download
`tokenizer.json`	711.7 KB	`0a1a7527…ef0dd023` `0a1a7527f328c199efb83bf1b2d3733baa73eb7fab61e3049f152e44ef0dd023`	Hosted	Download
`tokenizer_config.json`	1.26 KB	`6e8cac15…fcd53599` `6e8cac15787269b2b4ee415937ea4e7e1918ca758a3806c9de1566d1fcd53599`	Hosted	Download
`vocab.txt`	231.5 KB	`07eced37…992038a3` `07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3`	Hosted	Download
`special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	Download
Docs
`README.md`	1.22 KB	`8457af97…7132e43b` `8457af973dbe0a82a271a4332beaf3d62c0f1ca3cec315ca6a940a3d7132e43b`	Hosted	Download
`.gitattributes`	0 bytes	—	Upstream only	File metadata

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Linux

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Windows

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neural-cherche-sparse-embed

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