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AI models that run on this device.

Two small chat models run in a computer’s browser here; every other model is a file you download.

boltuix

bert-tinyplus

Can I run bert-tinyplus on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 5 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.

bert-tinyplus is an open-weights language model for masked-language modeling. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.

As of the recorded file availability check on .

Recorded SHA-256 for model.safetensors: b888bca240075bc5f84d88f9bd32c35397e2cdf7a427278776c3d4592f48ec64. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.

Updated · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record

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

boltuix/bert-tinyplus
Model details
masked-language modelingLicense: mitSHA-256 recorded for 5 of 8 filessafetensors

Content controls: not assessed.

The catalog lists this model for filling in missing words in text. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

5 hosted of 8 listed

Hashes recorded. Date not recorded.

FileTamañoSHA-256OrigenDescargar
Weights
model.safetensors Default24 MB
b888bca2…2f48ec64b888bca240075bc5f84d88f9bd32c35397e2cdf7a427278776c3d4592f48ec64
HostedDescargar
Tokenizer & config
config.json587 bytes
f5e76fce…82a5b646f5e76fce4015cdb5c0ac7597b977e622d9421fceda875ceea8957e5182a5b646
HostedDescargar
tokenizer_config.json1.3 KB
e711904c…9ad38e73e711904cac23112776b678356ccf702cf934babaa01125f698ac43bf9ad38e73
HostedDescargar
vocab.txt231.5 KB—Upstream onlyFile metadata
special_tokens_map.json125 bytes
b6d346be…76237ee3b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3
HostedDescargar
tokenizer.json711.4 KB
d241a60d…1f9e5c66d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66
HostedDescargar
Docs
.gitattributes1.52 KB—Upstream onlyFile metadata
README.md12 KB—Upstream onlyFile metadata

Comprobar una descarga

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.