math-embed safetensors download (440 MB) | Hugging Bay

Q: What is this model?

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

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 439.7 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/RobBobin/math-embed.

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-robbobin-math-embed/safety on Hugging Bay.

Q: Will RobBobin/math-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.

RobBobin

math-embed

RobBobin/math-embed

sentence similarity and retrievalLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face: RobBobin/math-embed

View as JSON →

11 hosted of 14 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	439.7 MB	`4f49fba1…da99e6d8` `4f49fba1357a7193677791c2ef52d8b989d5ce0f438dd8b7523b3790da99e6d8`	Hosted	Download
Tokenizer & config
`1_Pooling/config.json`	312 bytes	`35bbd47d…cc8ebcc6` `35bbd47d7fdf1e378db6130bcc668b09d1aa67a7bbf7c8f89a9c71f4cc8ebcc6`	Hosted	Download
`config.json`	693 bytes	`a2111df5…f290884f` `a2111df5b4ec7a4aa0a8b13217a6b0432310cec89ad35583ae6ec0a1f290884f`	Hosted	Download
`config_sentence_transformers.json`	277 bytes	`e116dc81…7a417ca2` `e116dc816de6f707034918ffc19bc2bba5a6ff538bb98723f0de2a057a417ca2`	Hosted	Download
`modules.json`	229 bytes	`8f4b264b…b3145460` `8f4b264b80206c830bebbdcae377e137925650a433b689343a63bdc9b3145460`	Hosted	Download
`sentence_bert_config.json`	57 bytes	`2713ef71…86bc0c6c` `2713ef7170fbb7e99cf4c4d8a1685642b0454b35f606b0f3b3b23b2786bc0c6c`	Hosted	Download
`tokenizer.json`	717.1 KB	`d62e0502…b7324f97` `d62e0502aee2f7b1017f8246d625df9a2697847829f4751062c2a15db7324f97`	Hosted	Download
`tokenizer_config.json`	1.3 KB	`3793b5c8…3cb8b2d9` `3793b5c88a07c8ba1be3b0b17ed73ee2095a44ad21adbb0acaa859b53cb8b2d9`	Hosted	Download
`vocab.txt`	227.8 KB	`f0a65034…e3a36c6f` `f0a650346e51ede8996710f79ba65d83fdb8da05b159f17037b74ba4e3a36c6f`	Hosted	Download
`special_tokens_map.json`	695 bytes	`5d5b662e…a350503a` `5d5b662e421ea9fac075174bb0688ee0d9431699900b90662acd44b2a350503a`	Hosted	Download
`paper/math_embeddings.pdf`	0 bytes	—	Upstream only	File metadata
`paper/math_embeddings.tex`	0 bytes	—	Upstream only	File metadata
Docs
`README.md`	3.57 KB	`2985efad…436ed14e` `2985efad12b3c03445995cf45b880892eb136b7866c08b67f13f330b436ed14e`	Hosted	Download
`.gitattributes`	0 bytes	—	Upstream only	File metadata

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math-embed

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