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

Can I run math-embed on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 11 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

math-embed is an embedding model for sentence similarity and retrieval. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on 2026-10-22.

Recorded SHA-256 for model.safetensors: 4f49fba1357a7193677791c2ef52d8b989d5ce0f438dd8b7523b3790da99e6d8. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated 2026-10-21 · Page text: As of 2026-10-21 · Content revision

Model metadata: As of 2026-08-04 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

RobBobin/math-embed

Model details

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

Content controls: not assessed.

The catalog lists this model for checking whether two sentences mean similar things. 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

This file cannot open in the app. The app supports one GGUF file at a time.

See app requirements

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

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

Open-file help

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Check your download →

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

11 hosted of 14 listed

Hashes recorded. Date not recorded.

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

Einen Download prüfen

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.

math-embed

Can I run math-embed on my computer?

Einen Download prüfen

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