ModernBERT-base safetensors download | Hugging Bay

Q: What is this model?

answerdotai/ModernBERT-base is an open-weights language model for masked-language modeling published by answerdotai, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for fill mask: answerdotai/ModernBERT-base · 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: 1 file, 8.43 KB. Full repo upstream: 3.13 GB.

Q: What can I download here?

Hosted here: 1 file, 8.43 KB. Full repo upstream: 3.13 GB. The original release is at https://huggingface.co/answerdotai/ModernBERT-base.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 1 hosted file carries a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-answerdotai-modernbert-base/safety on Hugging Bay.

Q: Will answerdotai/ModernBERT-base 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.

answerdotai

ModernBERT-base

answerdotai/ModernBERT-base

Model details

masked-language modelingLicense: apache-2.0Hashes recordedsafetensors · ONNX · BIN

Content controls: not assessed.

Listed for predicting masked text; for developers working with masked language models. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

View as JSON →

1 hosted of 1 listed

Hashes recorded. Date not recorded.

File	आकार	SHA-256	स्रोत	डाउनलोड करें
Docs
`README.md`	8.43 KB	`40539466…48eafa82` `40539466fa1117be4693b8f1fdfdac81fac3c5db472ff57bc05d013d48eafa82`	Hosted	डाउनलोड करें

डाउनलोड की जाँच करें

In the folder where you saved README.md, run:

macOS

shasum -a 256 -- 'README.md'

Linux

sha256sum -- 'README.md'

Windows

Get-FileHash -LiteralPath 'README.md' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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ModernBERT-base

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