ModernBERT-embedding-CMNRL download | Hugging Bay

Q: What is this model?

hotchpotch/ModernBERT-embedding-CMNRL is an embedding model for sentence similarity and retrieval published by hotchpotch, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for sentence similarity: hotchpotch/ModernBERT-embedding-CMNRL · sentence transformers

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: 8 files, 599.7 MB. Full repo upstream: 599.8 MB. The recommended download, model.safetensors, is 596.1 MB.

Q: What can I download here?

Hosted here: 8 files, 599.7 MB. Full repo upstream: 599.8 MB. The original release is at https://huggingface.co/hotchpotch/ModernBERT-embedding-CMNRL.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-hotchpotch-modernbert-embedding-cmnrl/safety on Hugging Bay.

Q: Will hotchpotch/ModernBERT-embedding-CMNRL 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.

hotchpotch

ModernBERT-embedding-CMNRL

hotchpotch/ModernBERT-embedding-CMNRL

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 8 of 12 filessafetensors

Content controls: not assessed.

The catalog lists this model for checking whether two sentences mean similar things. Catalog sources: license, cardMetadata.license, baseModel, task, cardMetadata.pipelineTag.

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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-hotchpotch-modernbert-embedding-cmnrl/model.safetensors",
    "model.safetensors",
)

Other ways

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8 hosted of 12 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors596 MB · 1 file Download · 596 MB (1 file)

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

8 hosted of 12 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	596.1 MB	`712018e1…4ae4eca0` `712018e1134a0d5c0ddb1f98ea964b3d4ac6ac536fc819c8e54a7d954ae4eca0`	Hosted	Herunterladen
Tokenizer & config
`1_Pooling/config.json`	312 bytes	—	Upstream only	File metadata
`config.json`	1.21 KB	`fde1dbcc…5b729fcc` `fde1dbcc1abf5c4099195805dde6fdf8cef23c0ded38b0147532c54d5b729fcc`	Hosted	Herunterladen
`config_sentence_transformers.json`	288 bytes	`222cf46d…25d83e3c` `222cf46d080e41aee8dc7319e3cb04ad19e0e550e70ea47e743eb39c25d83e3c`	Hosted	Herunterladen
`modules.json`	229 bytes	`8f4b264b…b3145460` `8f4b264b80206c830bebbdcae377e137925650a433b689343a63bdc9b3145460`	Hosted	Herunterladen
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Hosted	Herunterladen
`special_tokens_map.json`	694 bytes	`ea97ecdb…1be81049` `ea97ecdbcc73713039d8d64dbb05e3689495c96657fbd9a18f5bed381be81049`	Hosted	Herunterladen
`tokenizer.json`	3.58 MB	`3703d011…28f8f09e` `3703d011b3ee259e00b59b60772f8fd54998d79e8fa5a1388d507eff28f8f09e`	Hosted	Herunterladen
`tokenizer_config.json`	21 KB	`edfd0094…35f4bf6c` `edfd0094f4f888388e1a0215d2f4a0c800c04c2604b5605dfed3c2cf35f4bf6c`	Hosted	Herunterladen
`train_st_loss_example.py`	10.3 KB	—	Upstream only	File metadata
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	97.6 KB	—	Upstream only	File metadata

Einen Download prüfen

In the folder where you saved model.safetensors, run:

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shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

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

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ModernBERT-embedding-CMNRL

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