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

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 11 of 14 filessafetensors

Content controls: not assessed.

Listed for comparing sentences; for developers building text similarity tools. 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-robbobin-math-embed/model.safetensors",
    "model.safetensors",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerApp links support one GGUF file.

11 hosted of 14 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors440 MB · 1 file Download · 440 MB (1 file)

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

11 hosted of 14 listed

Hashes recorded. Date not recorded.

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

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Linux

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Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

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math-embed

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